GDAL
Classes | Typedefs | Enumerations | Functions
gdal_alg.h File Reference

Public (C callable) GDAL algorithm entry points, and definitions. More...

Go to the source code of this file.

Classes

struct  GDALGridInverseDistanceToAPowerOptions
 Inverse distance to a power method control options. More...
 
struct  GDALGridInverseDistanceToAPowerNearestNeighborOptions
 Inverse distance to a power, with nearest neighbour search, control options. More...
 
struct  GDALGridMovingAverageOptions
 Moving average method control options. More...
 
struct  GDALGridNearestNeighborOptions
 Nearest neighbor method control options. More...
 
struct  GDALGridDataMetricsOptions
 Data metrics method control options. More...
 
struct  GDALGridLinearOptions
 Linear method control options. More...
 
struct  GDALTriFacet
 Triangle fact. More...
 
struct  GDALTriBarycentricCoefficients
 Triangle barycentric coefficients. More...
 
struct  GDALTriangulation
 Triangulation structure. More...
 

Typedefs

typedef int(* GDALTransformerFunc) (void *pTransformerArg, int bDstToSrc, int nPointCount, double *x, double *y, double *z, int *panSuccess)
 
typedef CPLErr(* GDALContourWriter) (double dfLevel, int nPoints, double *padfX, double *padfY, void *)
 Contour writer callback type.
 
typedef void * GDALContourGeneratorH
 Contour generator opaque type.
 
typedef struct GDALGridContext GDALGridContext
 Grid context opaque type.
 

Enumerations

enum  GDALGridAlgorithm {
  GGA_InverseDistanceToAPower = 1, GGA_MovingAverage = 2, GGA_NearestNeighbor = 3, GGA_MetricMinimum = 4,
  GGA_MetricMaximum = 5, GGA_MetricRange = 6, GGA_MetricCount = 7, GGA_MetricAverageDistance = 8,
  GGA_MetricAverageDistancePts = 9, GGA_Linear = 10, GGA_InverseDistanceToAPowerNearestNeighbor = 11
}
 Gridding Algorithms. More...
 

Functions

int GDALComputeMedianCutPCT (GDALRasterBandH hRed, GDALRasterBandH hGreen, GDALRasterBandH hBlue, int(*pfnIncludePixel)(int, int, void *), int nColors, GDALColorTableH hColorTable, GDALProgressFunc pfnProgress, void *pProgressArg)
 Compute optimal PCT for RGB image. More...
 
int GDALDitherRGB2PCT (GDALRasterBandH hRed, GDALRasterBandH hGreen, GDALRasterBandH hBlue, GDALRasterBandH hTarget, GDALColorTableH hColorTable, GDALProgressFunc pfnProgress, void *pProgressArg)
 24bit to 8bit conversion with dithering. More...
 
int GDALChecksumImage (GDALRasterBandH hBand, int nXOff, int nYOff, int nXSize, int nYSize)
 Compute checksum for image region. More...
 
CPLErr GDALComputeProximity (GDALRasterBandH hSrcBand, GDALRasterBandH hProximityBand, char **papszOptions, GDALProgressFunc pfnProgress, void *pProgressArg)
 Compute the proximity of all pixels in the image to a set of pixels in the source image. More...
 
CPLErr GDALFillNodata (GDALRasterBandH hTargetBand, GDALRasterBandH hMaskBand, double dfMaxSearchDist, int bDeprecatedOption, int nSmoothingIterations, char **papszOptions, GDALProgressFunc pfnProgress, void *pProgressArg)
 Fill selected raster regions by interpolation from the edges. More...
 
CPLErr GDALPolygonize (GDALRasterBandH hSrcBand, GDALRasterBandH hMaskBand, OGRLayerH hOutLayer, int iPixValField, char **papszOptions, GDALProgressFunc pfnProgress, void *pProgressArg)
 Create polygon coverage from raster data. More...
 
CPLErr GDALFPolygonize (GDALRasterBandH hSrcBand, GDALRasterBandH hMaskBand, OGRLayerH hOutLayer, int iPixValField, char **papszOptions, GDALProgressFunc pfnProgress, void *pProgressArg)
 Create polygon coverage from raster data. More...
 
CPLErr GDALSieveFilter (GDALRasterBandH hSrcBand, GDALRasterBandH hMaskBand, GDALRasterBandH hDstBand, int nSizeThreshold, int nConnectedness, char **papszOptions, GDALProgressFunc pfnProgress, void *pProgressArg)
 Removes small raster polygons. More...
 
void * GDALCreateGenImgProjTransformer (GDALDatasetH hSrcDS, const char *pszSrcWKT, GDALDatasetH hDstDS, const char *pszDstWKT, int bGCPUseOK, double dfGCPErrorThreshold, int nOrder)
 Create image to image transformer. More...
 
void * GDALCreateGenImgProjTransformer2 (GDALDatasetH hSrcDS, GDALDatasetH hDstDS, char **papszOptions)
 Create image to image transformer. More...
 
void * GDALCreateGenImgProjTransformer3 (const char *pszSrcWKT, const double *padfSrcGeoTransform, const char *pszDstWKT, const double *padfDstGeoTransform)
 Create image to image transformer. More...
 
void GDALSetGenImgProjTransformerDstGeoTransform (void *, const double *)
 Set GenImgProj output geotransform. More...
 
void GDALDestroyGenImgProjTransformer (void *)
 GenImgProjTransformer deallocator. More...
 
int GDALGenImgProjTransform (void *pTransformArg, int bDstToSrc, int nPointCount, double *x, double *y, double *z, int *panSuccess)
 Perform general image reprojection transformation. More...
 
void GDALSetTransformerDstGeoTransform (void *, const double *)
 Set ApproxTransformer or GenImgProj output geotransform. More...
 
void GDALGetTransformerDstGeoTransform (void *, double *)
 Get ApproxTransformer or GenImgProj output geotransform. More...
 
void * GDALCreateReprojectionTransformer (const char *pszSrcWKT, const char *pszDstWKT)
 Create reprojection transformer. More...
 
void GDALDestroyReprojectionTransformer (void *)
 Destroy reprojection transformation. More...
 
int GDALReprojectionTransform (void *pTransformArg, int bDstToSrc, int nPointCount, double *x, double *y, double *z, int *panSuccess)
 Perform reprojection transformation. More...
 
void * GDALCreateGCPTransformer (int nGCPCount, const GDAL_GCP *pasGCPList, int nReqOrder, int bReversed)
 Create GCP based polynomial transformer. More...
 
void * GDALCreateGCPRefineTransformer (int nGCPCount, const GDAL_GCP *pasGCPList, int nReqOrder, int bReversed, double tolerance, int minimumGcps)
 Create GCP based polynomial transformer, with a tolerance threshold to discard GCPs that transform badly.
 
void GDALDestroyGCPTransformer (void *pTransformArg)
 Destroy GCP transformer. More...
 
int GDALGCPTransform (void *pTransformArg, int bDstToSrc, int nPointCount, double *x, double *y, double *z, int *panSuccess)
 Transforms point based on GCP derived polynomial model. More...
 
void * GDALCreateTPSTransformer (int nGCPCount, const GDAL_GCP *pasGCPList, int bReversed)
 Create Thin Plate Spline transformer from GCPs. More...
 
void GDALDestroyTPSTransformer (void *pTransformArg)
 Destroy TPS transformer. More...
 
int GDALTPSTransform (void *pTransformArg, int bDstToSrc, int nPointCount, double *x, double *y, double *z, int *panSuccess)
 Transforms point based on GCP derived polynomial model. More...
 
void * GDALCreateRPCTransformer (GDALRPCInfo *psRPC, int bReversed, double dfPixErrThreshold, char **papszOptions)
 Create an RPC based transformer. More...
 
void GDALDestroyRPCTransformer (void *pTransformArg)
 Destroy RPC tranformer.
 
int GDALRPCTransform (void *pTransformArg, int bDstToSrc, int nPointCount, double *x, double *y, double *z, int *panSuccess)
 RPC transform.
 
void * GDALCreateGeoLocTransformer (GDALDatasetH hBaseDS, char **papszGeolocationInfo, int bReversed)
 Create GeoLocation transformer.
 
void GDALDestroyGeoLocTransformer (void *pTransformArg)
 Destroy GeoLocation transformer.
 
int GDALGeoLocTransform (void *pTransformArg, int bDstToSrc, int nPointCount, double *x, double *y, double *z, int *panSuccess)
 Use GeoLocation transformer.
 
void * GDALCreateApproxTransformer (GDALTransformerFunc pfnRawTransformer, void *pRawTransformerArg, double dfMaxError)
 Create an approximating transformer. More...
 
void GDALApproxTransformerOwnsSubtransformer (void *pCBData, int bOwnFlag)
 Set bOwnSubtransformer flag.
 
void GDALDestroyApproxTransformer (void *pApproxArg)
 Cleanup approximate transformer. More...
 
int GDALApproxTransform (void *pTransformArg, int bDstToSrc, int nPointCount, double *x, double *y, double *z, int *panSuccess)
 Perform approximate transformation. More...
 
int GDALSimpleImageWarp (GDALDatasetH hSrcDS, GDALDatasetH hDstDS, int nBandCount, int *panBandList, GDALTransformerFunc pfnTransform, void *pTransformArg, GDALProgressFunc pfnProgress, void *pProgressArg, char **papszWarpOptions)
 Perform simple image warp. More...
 
CPLErr GDALSuggestedWarpOutput (GDALDatasetH hSrcDS, GDALTransformerFunc pfnTransformer, void *pTransformArg, double *padfGeoTransformOut, int *pnPixels, int *pnLines)
 Suggest output file size. More...
 
CPLErr GDALSuggestedWarpOutput2 (GDALDatasetH hSrcDS, GDALTransformerFunc pfnTransformer, void *pTransformArg, double *padfGeoTransformOut, int *pnPixels, int *pnLines, double *padfExtents, int nOptions)
 Suggest output file size. More...
 
CPLErr GDALTransformGeolocations (GDALRasterBandH hXBand, GDALRasterBandH hYBand, GDALRasterBandH hZBand, GDALTransformerFunc pfnTransformer, void *pTransformArg, GDALProgressFunc pfnProgress, void *pProgressArg, char **papszOptions)
 Transform locations held in bands. More...
 
GDALContourGeneratorH GDAL_CG_Create (int nWidth, int nHeight, int bNoDataSet, double dfNoDataValue, double dfContourInterval, double dfContourBase, GDALContourWriter pfnWriter, void *pCBData)
 Create contour generator.
 
CPLErr GDAL_CG_FeedLine (GDALContourGeneratorH hCG, double *padfScanline)
 Feed a line to the contour generator.
 
void GDAL_CG_Destroy (GDALContourGeneratorH hCG)
 Destroy contour generator.
 
CPLErr GDALContourGenerate (GDALRasterBandH hBand, double dfContourInterval, double dfContourBase, int nFixedLevelCount, double *padfFixedLevels, int bUseNoData, double dfNoDataValue, void *hLayer, int iIDField, int iElevField, GDALProgressFunc pfnProgress, void *pProgressArg)
 Create vector contours from raster DEM. More...
 
CPLErr GDALContourGenerateEx (GDALRasterBandH hBand, void *hLayer, CSLConstList options, GDALProgressFunc pfnProgress, void *pProgressArg)
 Create vector contours from raster DEM. More...
 
CPLErr GDALRasterizeGeometries (GDALDatasetH hDS, int nBandCount, int *panBandList, int nGeomCount, OGRGeometryH *pahGeometries, GDALTransformerFunc pfnTransformer, void *pTransformArg, double *padfGeomBurnValue, char **papszOptions, GDALProgressFunc pfnProgress, void *pProgressArg)
 Burn geometries into raster. More...
 
CPLErr GDALRasterizeLayers (GDALDatasetH hDS, int nBandCount, int *panBandList, int nLayerCount, OGRLayerH *pahLayers, GDALTransformerFunc pfnTransformer, void *pTransformArg, double *padfLayerBurnValues, char **papszOptions, GDALProgressFunc pfnProgress, void *pProgressArg)
 Burn geometries from the specified list of layers into raster. More...
 
CPLErr GDALRasterizeLayersBuf (void *pData, int nBufXSize, int nBufYSize, GDALDataType eBufType, int nPixelSpace, int nLineSpace, int nLayerCount, OGRLayerH *pahLayers, const char *pszDstProjection, double *padfDstGeoTransform, GDALTransformerFunc pfnTransformer, void *pTransformArg, double dfBurnValue, char **papszOptions, GDALProgressFunc pfnProgress, void *pProgressArg)
 Burn geometries from the specified list of layer into raster. More...
 
CPLErr GDALGridCreate (GDALGridAlgorithm, const void *, GUInt32, const double *, const double *, const double *, double, double, double, double, GUInt32, GUInt32, GDALDataType, void *, GDALProgressFunc, void *)
 Create regular grid from the scattered data. More...
 
GDALGridContextGDALGridContextCreate (GDALGridAlgorithm eAlgorithm, const void *poOptions, GUInt32 nPoints, const double *padfX, const double *padfY, const double *padfZ, int bCallerWillKeepPointArraysAlive)
 Creates a context to do regular gridding from the scattered data. More...
 
void GDALGridContextFree (GDALGridContext *psContext)
 Free a context used created by GDALGridContextCreate() More...
 
CPLErr GDALGridContextProcess (GDALGridContext *psContext, double dfXMin, double dfXMax, double dfYMin, double dfYMax, GUInt32 nXSize, GUInt32 nYSize, GDALDataType eType, void *pData, GDALProgressFunc pfnProgress, void *pProgressArg)
 Do the gridding of a window of a raster. More...
 
GDAL_GCPGDALComputeMatchingPoints (GDALDatasetH hFirstImage, GDALDatasetH hSecondImage, char **papszOptions, int *pnGCPCount)
 GDALComputeMatchingPoints. More...
 
int GDALHasTriangulation (void)
 Returns if GDAL is built with Delaunay triangulation support. More...
 
GDALTriangulationGDALTriangulationCreateDelaunay (int nPoints, const double *padfX, const double *padfY)
 Computes a Delaunay triangulation of the passed points. More...
 
int GDALTriangulationComputeBarycentricCoefficients (GDALTriangulation *psDT, const double *padfX, const double *padfY)
 Computes barycentric coefficients for each triangles of the triangulation. More...
 
int GDALTriangulationComputeBarycentricCoordinates (const GDALTriangulation *psDT, int nFacetIdx, double dfX, double dfY, double *pdfL1, double *pdfL2, double *pdfL3)
 Computes the barycentric coordinates of a point. More...
 
int GDALTriangulationFindFacetBruteForce (const GDALTriangulation *psDT, double dfX, double dfY, int *panOutputFacetIdx)
 Returns the index of the triangle that contains the point by iterating over all triangles. More...
 
int GDALTriangulationFindFacetDirected (const GDALTriangulation *psDT, int nFacetIdx, double dfX, double dfY, int *panOutputFacetIdx)
 Returns the index of the triangle that contains the point by walking in the triangulation. More...
 
void GDALTriangulationFree (GDALTriangulation *psDT)
 Free a triangulation. More...
 
GDALDatasetH GDALOpenVerticalShiftGrid (const char *pszProj4Geoidgrids, int *pbError)
 Load proj.4 geoidgrids as GDAL dataset. More...
 
GDALDatasetH GDALApplyVerticalShiftGrid (GDALDatasetH hSrcDataset, GDALDatasetH hGridDataset, int bInverse, double dfSrcUnitToMeter, double dfDstUnitToMeter, const char *const *papszOptions)
 Apply a vertical shift grid to a source (DEM typically) dataset. More...
 

Detailed Description

Public (C callable) GDAL algorithm entry points, and definitions.

Typedef Documentation

◆ GDALTransformerFunc

int GDALTransformerFunc

Generic signature for spatial point transformers.

This function signature is used for a variety of functions that accept passed in functions used to transform point locations between two coordinate spaces.

The GDALCreateGenImgProjTransformer(), GDALCreateReprojectionTransformer(), GDALCreateGCPTransformer() and GDALCreateApproxTransformer() functions can be used to prepare argument data for some built-in transformers. As well, applications can implement their own transformers to the following signature.

typedef int
(*GDALTransformerFunc)( void *pTransformerArg,
int bDstToSrc, int nPointCount,
double *x, double *y, double *z, int *panSuccess );
Parameters
pTransformerArgapplication supplied callback data used by the transformer.
bDstToSrcif TRUE the transformation will be from the destination coordinate space to the source coordinate system, otherwise the transformation will be from the source coordinate system to the destination coordinate system.
nPointCountnumber of points in the x, y and z arrays.
xinput X coordinates. Results returned in same array.
yinput Y coordinates. Results returned in same array.
zinput Z coordinates. Results returned in same array.
panSuccessarray of ints in which success (TRUE) or failure (FALSE) flags are returned for the translation of each point.
Returns
TRUE if the overall transformation succeeds (though some individual points may have failed) or FALSE if the overall transformation fails.

Enumeration Type Documentation

◆ GDALGridAlgorithm

Gridding Algorithms.

Enumerator
GGA_InverseDistanceToAPower 

Inverse distance to a power

GGA_MovingAverage 

Moving Average

GGA_NearestNeighbor 

Nearest Neighbor

GGA_MetricMinimum 

Minimum Value (Data Metric)

GGA_MetricMaximum 

Maximum Value (Data Metric)

GGA_MetricRange 

Data Range (Data Metric)

GGA_MetricCount 

Number of Points (Data Metric)

GGA_MetricAverageDistance 

Average Distance (Data Metric)

GGA_MetricAverageDistancePts 

Average Distance Between Data Points (Data Metric)

GGA_Linear 

Linear interpolation (from Delaunay triangulation. Since GDAL 2.1

GGA_InverseDistanceToAPowerNearestNeighbor 

Inverse distance to a power with nearest neighbor search for max points

Function Documentation

◆ GDALApplyVerticalShiftGrid()

GDALDatasetH GDALApplyVerticalShiftGrid ( GDALDatasetH  hSrcDataset,
GDALDatasetH  hGridDataset,
int  bInverse,
double  dfSrcUnitToMeter,
double  dfDstUnitToMeter,
const char *const *  papszOptions 
)

Apply a vertical shift grid to a source (DEM typically) dataset.

hGridDataset will typically use WGS84 as horizontal datum (but this is not a requirement) and its values are the values to add to go from geoid elevations to WGS84 ellipsoidal heights.

hGridDataset will be on-the-fly reprojected and resampled to the projection and resolution of hSrcDataset, using bilinear resampling by default.

Both hSrcDataset and hGridDataset must be single band datasets, and have a valid geotransform and projection.

On success, a reference will be taken on hSrcDataset and hGridDataset. Reference counting semantics on the source and grid datasets should be honoured. That is, don't just GDALClose() it, unless it was opened with GDALOpenShared(), but rather use GDALReleaseDataset() if wanting to immediately release the reference(s) and make the returned dataset the owner of them.

Valid use cases:

hSrcDataset = GDALOpen(...)
hGridDataset = GDALOpen(...)
hDstDataset = GDALApplyVerticalShiftGrid(hSrcDataset, hGridDataset, ...)
GDALReleaseDataset(hSrcDataset);
GDALReleaseDataset(hGridDataset);
if( hDstDataset )
{
// Do things with hDstDataset
GDALClose(hDstDataset) // will close hSrcDataset and hGridDataset
}
Parameters
hSrcDatasetsource (DEM) dataset. Must not be NULL.
hGridDatasetvertical grid shift dataset. Must not be NULL.
bInverseif set to FALSE, hGridDataset values will be added to hSrcDataset. If set to TRUE, they will be subtracted.
dfSrcUnitToMeterthe factor to convert values from hSrcDataset to meters (1.0 if source values are in meter).
dfDstUnitToMeterthe factor to convert shifted values from meter (1.0 if output values must be in meter).
papszOptionslist of options, or NULL. Supported options are:
  • RESAMPLING=NEAREST/BILINEAR/CUBIC. Defaults to BILINEAR.
  • MAX_ERROR=val. Maximum error measured in input pixels that is allowed in approximating the transformation (0.0 for exact calculations). Defaults to 0.125
  • DATATYPE=Byte/UInt16/Int16/Float32/Float64. Output data type. If not specified will be the same as the one of hSrcDataset.
  • ERROR_ON_MISSING_VERT_SHIFT=YES/NO. Whether a missing/nodata value in hGridDataset should cause I/O requests to fail. Default is NO (in which case 0 will be used)
  • SRC_SRS=srs_def. Override projection on hSrcDataset;
Returns
a new dataset corresponding to hSrcDataset adjusted with hGridDataset, or NULL. If not NULL, it must be closed with GDALClose().
Since
GDAL 2.2

◆ GDALApproxTransform()

int GDALApproxTransform ( void *  pCBData,
int  bDstToSrc,
int  nPoints,
double *  x,
double *  y,
double *  z,
int *  panSuccess 
)

Perform approximate transformation.

Actually performs the approximate transformation described in GDALCreateApproxTransformer(). This function matches the GDALTransformerFunc() signature. Details of the arguments are described there.

◆ GDALChecksumImage()

int GDALChecksumImage ( GDALRasterBandH  hBand,
int  nXOff,
int  nYOff,
int  nXSize,
int  nYSize 
)

Compute checksum for image region.

Computes a 16bit (0-65535) checksum from a region of raster data on a GDAL supported band. Floating point data is converted to 32bit integer so decimal portions of such raster data will not affect the checksum. Real and Imaginary components of complex bands influence the result.

Parameters
hBandthe raster band to read from.
nXOffpixel offset of window to read.
nYOffline offset of window to read.
nXSizepixel size of window to read.
nYSizeline size of window to read.
Returns
Checksum value.

◆ GDALComputeMatchingPoints()

GDAL_GCP* GDALComputeMatchingPoints ( GDALDatasetH  hFirstImage,
GDALDatasetH  hSecondImage,
char **  papszOptions,
int *  pnGCPCount 
)

GDALComputeMatchingPoints.

TODO document

◆ GDALComputeMedianCutPCT()

int GDALComputeMedianCutPCT ( GDALRasterBandH  hRed,
GDALRasterBandH  hGreen,
GDALRasterBandH  hBlue,
int(*)(int, int, void *)  pfnIncludePixel,
int  nColors,
GDALColorTableH  hColorTable,
GDALProgressFunc  pfnProgress,
void *  pProgressArg 
)

Compute optimal PCT for RGB image.

This function implements a median cut algorithm to compute an "optimal" pseudocolor table for representing an input RGB image. This PCT could then be used with GDALDitherRGB2PCT() to convert a 24bit RGB image into an eightbit pseudo-colored image.

This code was based on the tiffmedian.c code from libtiff (www.libtiff.org) which was based on a paper by Paul Heckbert:

*   "Color  Image Quantization for Frame Buffer Display", Paul
*   Heckbert, SIGGRAPH proceedings, 1982, pp. 297-307.
* 

The red, green and blue input bands do not necessarily need to come from the same file, but they must be the same width and height. They will be clipped to 8bit during reading, so non-eight bit bands are generally inappropriate.

Parameters
hRedRed input band.
hGreenGreen input band.
hBlueBlue input band.
pfnIncludePixelfunction used to test which pixels should be included in the analysis. At this time this argument is ignored and all pixels are utilized. This should normally be NULL.
nColorsthe desired number of colors to be returned (2-256).
hColorTablethe colors will be returned in this color table object.
pfnProgresscallback for reporting algorithm progress matching the GDALProgressFunc() semantics. May be NULL.
pProgressArgcallback argument passed to pfnProgress.
Returns
returns CE_None on success or CE_Failure if an error occurs.

◆ GDALComputeProximity()

CPLErr GDALComputeProximity ( GDALRasterBandH  hSrcBand,
GDALRasterBandH  hProximityBand,
char **  papszOptions,
GDALProgressFunc  pfnProgress,
void *  pProgressArg 
)

Compute the proximity of all pixels in the image to a set of pixels in the source image.

This function attempts to compute the proximity of all pixels in the image to a set of pixels in the source image. The following options are used to define the behavior of the function. By default all non-zero pixels in hSrcBand will be considered the "target", and all proximities will be computed in pixels. Note that target pixels are set to the value corresponding to a distance of zero.

The progress function args may be NULL or a valid progress reporting function such as GDALTermProgress/NULL.

Options:

VALUES=n[,n]*

A list of target pixel values to measure the distance from. If this option is not provided proximity will be computed from non-zero pixel values. Currently pixel values are internally processed as integers.

DISTUNITS=[PIXEL]/GEO

Indicates whether distances will be computed in pixel units or in georeferenced units. The default is pixel units. This also determines the interpretation of MAXDIST.

MAXDIST=n

The maximum distance to search. Proximity distances greater than this value will not be computed. Instead output pixels will be set to a nodata value.

NODATA=n

The NODATA value to use on the output band for pixels that are beyond MAXDIST. If not provided, the hProximityBand will be queried for a nodata value. If one is not found, 65535 will be used.

USE_INPUT_NODATA=YES/NO

If this option is set, the input data set no-data value will be respected. Leaving no data pixels in the input as no data pixels in the proximity output.

FIXED_BUF_VAL=n

If this option is set, all pixels within the MAXDIST threadhold are set to this fixed value instead of to a proximity distance.

◆ GDALContourGenerate()

CPLErr GDALContourGenerate ( GDALRasterBandH  hBand,
double  dfContourInterval,
double  dfContourBase,
int  nFixedLevelCount,
double *  padfFixedLevels,
int  bUseNoData,
double  dfNoDataValue,
void *  hLayer,
int  iIDField,
int  iElevField,
GDALProgressFunc  pfnProgress,
void *  pProgressArg 
)

Create vector contours from raster DEM.

This function is kept for compatibility reason and will call the new variant GDALContourGenerateEx that is more extensible and provide more options.

Details about the algorithm are also given in the documentation of the new GDALContourenerateEx function.

Parameters
hBandThe band to read raster data from. The whole band will be processed.
dfContourIntervalThe elevation interval between contours generated.
dfContourBaseThe "base" relative to which contour intervals are applied. This is normally zero, but could be different. To generate 10m contours at 5, 15, 25, ... the ContourBase would be 5.
nFixedLevelCountThe number of fixed levels. If this is greater than zero, then fixed levels will be used, and ContourInterval and ContourBase are ignored.
padfFixedLevelsThe list of fixed contour levels at which contours should be generated. It will contain FixedLevelCount entries, and may be NULL if fixed levels are disabled (FixedLevelCount = 0).
bUseNoDataIf TRUE the dfNoDataValue will be used.
dfNoDataValueThe value to use as a "nodata" value. That is, a pixel value which should be ignored in generating contours as if the value of the pixel were not known.
hLayerThe layer to which new contour vectors will be written. Each contour will have a LINESTRING geometry attached to it. This is really of type OGRLayerH, but void * is used to avoid pulling the ogr_api.h file in here.
iIDFieldIf not -1 this will be used as a field index to indicate where a unique id should be written for each feature (contour) written.
iElevFieldIf not -1 this will be used as a field index to indicate where the elevation value of the contour should be written.
pfnProgressA GDALProgressFunc that may be used to report progress to the user, or to interrupt the algorithm. May be NULL if not required.
pProgressArgThe callback data for the pfnProgress function.
Returns
CE_None on success or CE_Failure if an error occurs.

◆ GDALContourGenerateEx()

CPLErr GDALContourGenerateEx ( GDALRasterBandH  hBand,
void *  hLayer,
CSLConstList  options,
GDALProgressFunc  pfnProgress,
void *  pProgressArg 
)

Create vector contours from raster DEM.

This algorithm is an implementation of "Marching squares" [1] that will generate contour vectors for the input raster band on the requested set of contour levels. The vector contours are written to the passed in OGR vector layer. Also, a NODATA value may be specified to identify pixels that should not be considered in contour line generation.

The gdal/apps/gdal_contour.cpp mainline can be used as an example of how to use this function.

[1] see https://en.wikipedia.org/wiki/Marching_squares

ALGORITHM RULES

For contouring purposes raster pixel values are assumed to represent a point value at the center of the corresponding pixel region. For the purpose of contour generation we virtually connect each pixel center to the values to the left, right, top and bottom. We assume that the pixel value is linearly interpolated between the pixel centers along each line, and determine where (if any) contour lines will appear along these line segments. Then the contour crossings are connected.

This means that contour lines' nodes will not actually be on pixel edges, but rather along vertical and horizontal lines connecting the pixel centers.

General Case:

      5 |                  | 3
     -- + ---------------- + --
        |                  |
        |                  |
        |                  |
        |                  |
     10 +                  |
        |\                 |
        | \                |
     -- + -+-------------- + --
     12 |  10              | 1

Saddle Point:

      5 |                  | 12
     -- + -------------+-- + --
        |               \  |
        |                 \|
        |                  +
        |                  |
        +                  |
        |\                 |
        | \                |
     -- + -+-------------- + --
     12 |                  | 1

or:

      5 |                  | 12
     -- + -------------+-- + --
        |          __/     |
        |      ___/        |
        |  ___/          __+
        | /           __/  |
        +'         __/     |
        |       __/        |
        |   ,__/           |
     -- + -+-------------- + --
     12 |                  | 1

Nodata:

In the "nodata" case we treat the whole nodata pixel as a no-mans land. We extend the corner pixels near the nodata out to half way and then construct extra lines from those points to the center which is assigned an averaged value from the two nearby points (in this case (12+3+5)/3).

      5 |                  | 3
     -- + ---------------- + --
        |                  |
        |                  |
        |      6.7         |
        |        +---------+ 3
     10 +___     |
        |   \____+ 10
        |        |
     -- + -------+        +
     12 |       12           (nodata)
Parameters
hBandThe band to read raster data from. The whole band will be processed.
hLayerThe layer to which new contour vectors will be written. Each contour will have a LINESTRING geometry attached to it (or POLYGON if POLYGONIZE=YES). This is really of type OGRLayerH, but void * is used to avoid pulling the ogr_api.h file in here.
pfnProgressA GDALProgressFunc that may be used to report progress to the user, or to interrupt the algorithm. May be NULL if not required.
pProgressArgThe callback data for the pfnProgress function.
optionsList of options

Options:

LEVEL_INTERVAL=f

The elevation interval between contours generated.

LEVEL_BASE=f

The "base" relative to which contour intervals are applied. This is normally zero, but could be different. To generate 10m contours at 5, 15, 25, ... the LEVEL_BASE would be 5.

LEVEL_EXP_BASE=f

If greater than 0, contour levels are generated on an exponential scale. Levels will then be generated by LEVEL_EXP_BASE^k where k is a positive integer.

FIXED_LEVELS=f[,f]*

The list of fixed contour levels at which contours should be generated. This option has precedence on LEVEL_INTERVAL

NODATA=f

The value to use as a "nodata" value. That is, a pixel value which should be ignored in generating contours as if the value of the pixel were not known.

ID_FIELD=d

This will be used as a field index to indicate where a unique id should be written for each feature (contour) written.

ELEV_FIELD=d

This will be used as a field index to indicate where the elevation value of the contour should be written.

ELEV_FIELD_MIN=d

This will be used as a field index to indicate where the minimum elevation value of the polygon contour should be written.

ELEV_FIELD_MAX=d

This will be used as a field index to indicate where the maximum elevation value of the polygon contour should be written.

POLYGONIZE=YES|NO

If YES, contour polygons will be created, rather than polygon lines.

Returns
CE_None on success or CE_Failure if an error occurs.

◆ GDALCreateApproxTransformer()

void* GDALCreateApproxTransformer ( GDALTransformerFunc  pfnBaseTransformer,
void *  pBaseTransformArg,
double  dfMaxError 
)

Create an approximating transformer.

This function creates a context for an approximated transformer. Basically a high precision transformer is supplied as input and internally linear approximations are computed to generate results to within a defined precision.

The approximation is actually done at the point where GDALApproxTransform() calls are made, and depend on the assumption that the roughly linear. The first and last point passed in must be the extreme values and the intermediate values should describe a curve between the end points. The approximator transforms and center using the approximate transformer, and then compares the true middle transformed value to a linear approximation based on the end points. If the error is within the supplied threshold then the end points are used to linearly approximate all the values otherwise the inputs points are split into two smaller sets, and the function recursively called till a sufficiently small set of points if found that the linear approximation is OK, or that all the points are exactly computed.

This function is very suitable for approximating transformation results from output pixel/line space to input coordinates for warpers that operate on one input scanline at a time. Care should be taken using it in other circumstances as little internal validation is done, in order to keep things fast.

Parameters
pfnBaseTransformerthe high precision transformer which should be approximated.
pBaseTransformArgthe callback argument for the high precision transformer.
dfMaxErrorthe maximum cartesian error in the "output" space that is to be accepted in the linear approximation.
Returns
callback pointer suitable for use with GDALApproxTransform(). It should be deallocated with GDALDestroyApproxTransformer().

◆ GDALCreateGCPTransformer()

void* GDALCreateGCPTransformer ( int  nGCPCount,
const GDAL_GCP pasGCPList,
int  nReqOrder,
int  bReversed 
)

Create GCP based polynomial transformer.

Computes least squares fit polynomials from a provided set of GCPs, and stores the coefficients for later transformation of points between pixel/line and georeferenced coordinates.

The return value should be used as a TransformArg in combination with the transformation function GDALGCPTransform which fits the GDALTransformerFunc signature. The returned transform argument should be deallocated with GDALDestroyGCPTransformer when no longer needed.

This function may fail (returning NULL) if the provided set of GCPs are inadequate for the requested order, the determinate is zero or they are otherwise "ill conditioned".

Note that 2nd order requires at least 6 GCPs, and 3rd order requires at least 10 gcps. If nReqOrder is 0 the highest order possible (limited to 2) with the provided gcp count will be used.

Parameters
nGCPCountthe number of GCPs in pasGCPList.
pasGCPListan array of GCPs to be used as input.
nReqOrderthe requested polynomial order. It should be 1, 2 or 3. Using 3 is not recommended due to potential numeric instabilities issues.
bReversedset it to TRUE to compute the reversed transformation.
Returns
the transform argument or NULL if creation fails.

◆ GDALCreateGenImgProjTransformer()

void* GDALCreateGenImgProjTransformer ( GDALDatasetH  hSrcDS,
const char *  pszSrcWKT,
GDALDatasetH  hDstDS,
const char *  pszDstWKT,
int  bGCPUseOK,
double  dfGCPErrorThreshold,
int  nOrder 
)

Create image to image transformer.

This function creates a transformation object that maps from pixel/line coordinates on one image to pixel/line coordinates on another image. The images may potentially be georeferenced in different coordinate systems, and may used GCPs to map between their pixel/line coordinates and georeferenced coordinates (as opposed to the default assumption that their geotransform should be used).

This transformer potentially performs three concatenated transformations.

The first stage is from source image pixel/line coordinates to source image georeferenced coordinates, and may be done using the geotransform, or if not defined using a polynomial model derived from GCPs. If GCPs are used this stage is accomplished using GDALGCPTransform().

The second stage is to change projections from the source coordinate system to the destination coordinate system, assuming they differ. This is accomplished internally using GDALReprojectionTransform().

The third stage is converting from destination image georeferenced coordinates to destination image coordinates. This is done using the destination image geotransform, or if not available, using a polynomial model derived from GCPs. If GCPs are used this stage is accomplished using GDALGCPTransform(). This stage is skipped if hDstDS is NULL when the transformation is created.

Parameters
hSrcDSsource dataset, or NULL.
pszSrcWKTthe coordinate system for the source dataset. If NULL, it will be read from the dataset itself.
hDstDSdestination dataset (or NULL).
pszDstWKTthe coordinate system for the destination dataset. If NULL, and hDstDS not NULL, it will be read from the destination dataset.
bGCPUseOKTRUE if GCPs should be used if the geotransform is not available on the source dataset (not destination).
dfGCPErrorThresholdignored/deprecated.
nOrderthe maximum order to use for GCP derived polynomials if possible. Use 0 to autoselect, or -1 for thin plate splines.
Returns
handle suitable for use GDALGenImgProjTransform(), and to be deallocated with GDALDestroyGenImgProjTransformer().

◆ GDALCreateGenImgProjTransformer2()

void* GDALCreateGenImgProjTransformer2 ( GDALDatasetH  hSrcDS,
GDALDatasetH  hDstDS,
char **  papszOptions 
)

Create image to image transformer.

This function creates a transformation object that maps from pixel/line coordinates on one image to pixel/line coordinates on another image. The images may potentially be georeferenced in different coordinate systems, and may used GCPs to map between their pixel/line coordinates and georeferenced coordinates (as opposed to the default assumption that their geotransform should be used).

This transformer potentially performs three concatenated transformations.

The first stage is from source image pixel/line coordinates to source image georeferenced coordinates, and may be done using the geotransform, or if not defined using a polynomial model derived from GCPs. If GCPs are used this stage is accomplished using GDALGCPTransform().

The second stage is to change projections from the source coordinate system to the destination coordinate system, assuming they differ. This is accomplished internally using GDALReprojectionTransform().

The third stage is converting from destination image georeferenced coordinates to destination image coordinates. This is done using the destination image geotransform, or if not available, using a polynomial model derived from GCPs. If GCPs are used this stage is accomplished using GDALGCPTransform(). This stage is skipped if hDstDS is NULL when the transformation is created.

Supported Options (specified with the -to switch of gdalwarp for example):

  • SRC_SRS: WKT SRS to be used as an override for hSrcDS.
  • DST_SRS: WKT SRS to be used as an override for hDstDS.
  • GCPS_OK: If false, GCPs will not be used, default is TRUE.
  • REFINE_MINIMUM_GCPS: The minimum amount of GCPs that should be available after the refinement.
  • REFINE_TOLERANCE: The tolerance that specifies when a GCP will be eliminated.
  • MAX_GCP_ORDER: the maximum order to use for GCP derived polynomials if possible. The default is to autoselect based on the number of GCPs. A value of -1 triggers use of Thin Plate Spline instead of polynomials.
  • SRC_METHOD: may have a value which is one of GEOTRANSFORM, GCP_POLYNOMIAL, GCP_TPS, GEOLOC_ARRAY, RPC to force only one geolocation method to be considered on the source dataset. Will be used for pixel/line to georef transformation on the source dataset. NO_GEOTRANSFORM can be used to specify the identity geotransform (ungeoreference image)
  • DST_METHOD: may have a value which is one of GEOTRANSFORM, GCP_POLYNOMIAL, GCP_TPS, GEOLOC_ARRAY, RPC to force only one geolocation method to be considered on the target dataset. Will be used for pixel/line to georef transformation on the destination dataset. NO_GEOTRANSFORM can be used to specify the identity geotransform (ungeoreference image)
  • RPC_HEIGHT: A fixed height to be used with RPC calculations.
  • RPC_DEM: The name of a DEM file to be used with RPC calculations.
  • Other RPC related options. See GDALCreateRPCTransformer()
  • INSERT_CENTER_LONG: May be set to FALSE to disable setting up a CENTER_LONG value on the coordinate system to rewrap things around the center of the image.
  • SRC_APPROX_ERROR_IN_SRS_UNIT=err_threshold_in_SRS_units. (GDAL >= 2.2) Use an approximate transformer for the source transformer. Must be defined together with SRC_APPROX_ERROR_IN_PIXEL to be taken into account.
  • SRC_APPROX_ERROR_IN_PIXEL=err_threshold_in_pixel. (GDAL >= 2.2) Use an approximate transformer for the source transformer.. Must be defined together with SRC_APPROX_ERROR_IN_SRS_UNIT to be taken into account.
  • DST_APPROX_ERROR_IN_SRS_UNIT=err_threshold_in_SRS_units. (GDAL >= 2.2) Use an approximate transformer for the destination transformer. Must be defined together with DST_APPROX_ERROR_IN_PIXEL to be taken into account.
  • DST_APPROX_ERROR_IN_PIXEL=err_threshold_in_pixel. (GDAL >= 2.2) Use an approximate transformer for the destination transformer. Must be defined together with DST_APPROX_ERROR_IN_SRS_UNIT to be taken into account.
  • REPROJECTION_APPROX_ERROR_IN_SRC_SRS_UNIT=err_threshold_in_src_SRS_units. (GDAL >= 2.2) Use an approximate transformer for the coordinate reprojection. Must be used together with REPROJECTION_APPROX_ERROR_IN_DST_SRS_UNIT to be taken into account.
  • REPROJECTION_APPROX_ERROR_IN_DST_SRS_UNIT=err_threshold_in_dst_SRS_units. (GDAL >= 2.2) Use an approximate transformer for the coordinate reprojection. Must be used together with REPROJECTION_APPROX_ERROR_IN_SRC_SRS_UNIT to be taken into account.

The use case for the *_APPROX_ERROR_* options is when defining an approximate transformer on top of the GenImgProjTransformer globally is not practical. Such a use case is when the source dataset has RPC with a RPC DEM. In such case we don't want to use the approximate transformer on the RPC transformation, as the RPC DEM generally involves non-linearities that the approximate transformer will not detect. In such case, we must a non-approximated GenImgProjTransformer, but it might be worthwile to use approximate sub- transformers, for example on coordinate reprojection. For example if warping from a source dataset with RPC to a destination dataset with a UTM projection, since the inverse UTM transformation is rather costly. In which case, one can use the REPROJECTION_APPROX_ERROR_IN_SRC_SRS_UNIT and REPROJECTION_APPROX_ERROR_IN_DST_SRS_UNIT options.

Parameters
hSrcDSsource dataset, or NULL.
hDstDSdestination dataset (or NULL).
papszOptionsNULL-terminated list of string options (or NULL).
Returns
handle suitable for use GDALGenImgProjTransform(), and to be deallocated with GDALDestroyGenImgProjTransformer() or NULL on failure.

◆ GDALCreateGenImgProjTransformer3()

void* GDALCreateGenImgProjTransformer3 ( const char *  pszSrcWKT,
const double *  padfSrcGeoTransform,
const char *  pszDstWKT,
const double *  padfDstGeoTransform 
)

Create image to image transformer.

This function creates a transformation object that maps from pixel/line coordinates on one image to pixel/line coordinates on another image. The images may potentially be georeferenced in different coordinate systems, and may used GCPs to map between their pixel/line coordinates and georeferenced coordinates (as opposed to the default assumption that their geotransform should be used).

This transformer potentially performs three concatenated transformations.

The first stage is from source image pixel/line coordinates to source image georeferenced coordinates, and may be done using the geotransform, or if not defined using a polynomial model derived from GCPs. If GCPs are used this stage is accomplished using GDALGCPTransform().

The second stage is to change projections from the source coordinate system to the destination coordinate system, assuming they differ. This is accomplished internally using GDALReprojectionTransform().

The third stage is converting from destination image georeferenced coordinates to destination image coordinates. This is done using the destination image geotransform, or if not available, using a polynomial model derived from GCPs. If GCPs are used this stage is accomplished using GDALGCPTransform(). This stage is skipped if hDstDS is NULL when the transformation is created.

Parameters
pszSrcWKTsource WKT (or NULL).
padfSrcGeoTransformsource geotransform (or NULL).
pszDstWKTdestination WKT (or NULL).
padfDstGeoTransformdestination geotransform (or NULL).
Returns
handle suitable for use GDALGenImgProjTransform(), and to be deallocated with GDALDestroyGenImgProjTransformer() or NULL on failure.

◆ GDALCreateReprojectionTransformer()

void* GDALCreateReprojectionTransformer ( const char *  pszSrcWKT,
const char *  pszDstWKT 
)

Create reprojection transformer.

Creates a callback data structure suitable for use with GDALReprojectionTransformation() to represent a transformation from one geographic or projected coordinate system to another. On input the coordinate systems are described in OpenGIS WKT format.

Internally the OGRCoordinateTransformation object is used to implement the reprojection.

Parameters
pszSrcWKTthe coordinate system for the source coordinate system.
pszDstWKTthe coordinate system for the destination coordinate system.
Returns
Handle for use with GDALReprojectionTransform(), or NULL if the system fails to initialize the reprojection.

◆ GDALCreateRPCTransformer()

void* GDALCreateRPCTransformer ( GDALRPCInfo psRPCInfo,
int  bReversed,
double  dfPixErrThreshold,
char **  papszOptions 
)

Create an RPC based transformer.

The geometric sensor model describing the physical relationship between image coordinates and ground coordinate is known as a Rigorous Projection Model. A Rigorous Projection Model expresses the mapping of the image space coordinates of rows and columns (r,c) onto the object space reference surface geodetic coordinates (long, lat, height).

RPC supports a generic description of the Rigorous Projection Models. The approximation used by GDAL (RPC00) is a set of rational polynomials expressing the normalized row and column values, (rn , cn), as a function of normalized geodetic latitude, longitude, and height, (P, L, H), given a set of normalized polynomial coefficients (LINE_NUM_COEF_n, LINE_DEN_COEF_n, SAMP_NUM_COEF_n, SAMP_DEN_COEF_n). Normalized values, rather than actual values are used in order to minimize introduction of errors during the calculations. The transformation between row and column values (r,c), and normalized row and column values (rn, cn), and between the geodetic latitude, longitude, and height and normalized geodetic latitude, longitude, and height (P, L, H), is defined by a set of normalizing translations (offsets) and scales that ensure all values are contained i the range -1 to +1.

This function creates a GDALTransformFunc compatible transformer for going between image pixel/line and long/lat/height coordinates using RPCs. The RPCs are provided in a GDALRPCInfo structure which is normally read from metadata using GDALExtractRPCInfo().

GDAL RPC Metadata has the following entries (also described in GDAL RFC 22 and the GeoTIFF RPC document http://geotiff.maptools.org/rpc_prop.html .

  • ERR_BIAS: Error - Bias. The RMS bias error in meters per horizontal axis of all points in the image (-1.0 if unknown)
  • ERR_RAND: Error - Random. RMS random error in meters per horizontal axis of each point in the image (-1.0 if unknown)
  • LINE_OFF: Line Offset
  • SAMP_OFF: Sample Offset
  • LAT_OFF: Geodetic Latitude Offset
  • LONG_OFF: Geodetic Longitude Offset
  • HEIGHT_OFF: Geodetic Height Offset
  • LINE_SCALE: Line Scale
  • SAMP_SCALE: Sample Scale
  • LAT_SCALE: Geodetic Latitude Scale
  • LONG_SCALE: Geodetic Longitude Scale
  • HEIGHT_SCALE: Geodetic Height Scale

  • LINE_NUM_COEFF (1-20): Line Numerator Coefficients. Twenty coefficients for the polynomial in the Numerator of the rn equation. (space separated)
  • LINE_DEN_COEFF (1-20): Line Denominator Coefficients. Twenty coefficients for the polynomial in the Denominator of the rn equation. (space separated)
  • SAMP_NUM_COEFF (1-20): Sample Numerator Coefficients. Twenty coefficients for the polynomial in the Numerator of the cn equation. (space separated)
  • SAMP_DEN_COEFF (1-20): Sample Denominator Coefficients. Twenty coefficients for the polynomial in the Denominator of the cn equation. (space separated)

The transformer normally maps from pixel/line/height to long/lat/height space as a forward transformation though in RPC terms that would be considered an inverse transformation (and is solved by iterative approximation using long/lat/height to pixel/line transformations). The default direction can be reversed by passing bReversed=TRUE.

The iterative solution of pixel/line to lat/long/height is currently run for up to 10 iterations or until the apparent error is less than dfPixErrThreshold pixels. Passing zero will not avoid all error, but will cause the operation to run for the maximum number of iterations.

Starting with GDAL 2.1, debugging of the RPC inverse transformer can be done by setting the RPC_INVERSE_VERBOSE configuration option to YES (in which case extra debug information will be displayed in the "RPC" debug category, so requiring CPL_DEBUG to be also set) and/or by setting RPC_INVERSE_LOG to a filename that will contain the content of iterations (this last option only makes sense when debugging point by point, since each time RPCInverseTransformPoint() is called, the file is rewritten).

Additional options to the transformer can be supplied in papszOptions.

Options:

  • RPC_HEIGHT: a fixed height offset to be applied to all points passed in. In this situation the Z passed into the transformation function is assumed to be height above ground, and the RPC_HEIGHT is assumed to be an average height above sea level for ground in the target scene.

  • RPC_HEIGHT_SCALE: a factor used to multiply heights above ground. Useful when elevation offsets of the DEM are not expressed in meters. (GDAL >= 1.8.0)

  • RPC_DEM: the name of a GDAL dataset (a DEM file typically) used to extract elevation offsets from. In this situation the Z passed into the transformation function is assumed to be height above ground. This option should be used in replacement of RPC_HEIGHT to provide a way of defining a non uniform ground for the target scene (GDAL >= 1.8.0)

  • RPC_DEMINTERPOLATION: the DEM interpolation (near, bilinear or cubic)

  • RPC_DEM_MISSING_VALUE: value of DEM height that must be used in case the DEM has nodata value at the sampling point, or if its extent does not cover the requested coordinate. When not specified, missing values will cause a failed transform. (GDAL >= 1.11.2)

  • RPC_DEM_APPLY_VDATUM_SHIFT: whether the vertical component of a compound SRS for the DEM should be used (when it is present). This is useful so as to be able to transform the "raw" values from the DEM expressed with respect to a geoid to the heights with respect to the WGS84 ellipsoid. When this is enabled, the GTIFF_REPORT_COMPD_CS configuration option will be also set temporarily so as to get the vertical information from GeoTIFF files. Defaults to TRUE. (GDAL >= 2.1.0)

  • RPC_PIXEL_ERROR_THRESHOLD: overrides the dfPixErrThreshold parameter, ie the error (measured in pixels) allowed in the iterative solution of pixel/line to lat/long computations (the other way is always exact given the equations). (GDAL >= 2.1.0)

  • RPC_MAX_ITERATIONS: maximum number of iterations allowed in the iterative solution of pixel/line to lat/long computations. Default value is 10 in the absence of a DEM, or 20 if there is a DEM. (GDAL >= 2.1.0)

Parameters
psRPCInfoDefinition of the RPC parameters.
bReversedIf true "forward" transformation will be lat/long to pixel/line instead of the normal pixel/line to lat/long.
dfPixErrThresholdthe error (measured in pixels) allowed in the iterative solution of pixel/line to lat/long computations (the other way is always exact given the equations). Starting with GDAL 2.1, this may also be set through the RPC_PIXEL_ERROR_THRESHOLD transformer option. If a negative or null value is provided, then this defaults to 0.1 pixel.
papszOptionsOther transformer options (i.e. RPC_HEIGHT=z).
Returns
transformer callback data (deallocate with GDALDestroyTransformer()).

◆ GDALCreateTPSTransformer()

void* GDALCreateTPSTransformer ( int  nGCPCount,
const GDAL_GCP pasGCPList,
int  bReversed 
)

Create Thin Plate Spline transformer from GCPs.

The thin plate spline transformer produces exact transformation at all control points and smoothly varying transformations between control points with greatest influence from local control points. It is suitable for for many applications not well modeled by polynomial transformations.

Creating the TPS transformer involves solving systems of linear equations related to the number of control points involved. This solution is computed within this function call. It can be quite an expensive operation for large numbers of GCPs. For instance, for reference, it takes on the order of 10s for 400 GCPs on a 2GHz Athlon processor.

TPS Transformers are serializable.

The GDAL Thin Plate Spline transformer is based on code provided by Gilad Ronnen on behalf of VIZRT Inc (http://www.visrt.com). Incorporation of the algorithm into GDAL was supported by the Centro di Ecologia Alpina (http://www.cealp.it).

Parameters
nGCPCountthe number of GCPs in pasGCPList.
pasGCPListan array of GCPs to be used as input.
bReversedset it to TRUE to compute the reversed transformation.
Returns
the transform argument or NULL if creation fails.

◆ GDALDestroyApproxTransformer()

void GDALDestroyApproxTransformer ( void *  pCBData)

Cleanup approximate transformer.

Deallocates the resources allocated by GDALCreateApproxTransformer().

Parameters
pCBDatacallback data originally returned by GDALCreateApproxTransformer().

◆ GDALDestroyGCPTransformer()

void GDALDestroyGCPTransformer ( void *  pTransformArg)

Destroy GCP transformer.

This function is used to destroy information about a GCP based polynomial transformation created with GDALCreateGCPTransformer().

Parameters
pTransformArgthe transform arg previously returned by GDALCreateGCPTransformer().

◆ GDALDestroyGenImgProjTransformer()

void GDALDestroyGenImgProjTransformer ( void *  hTransformArg)

GenImgProjTransformer deallocator.

This function is used to deallocate the handle created with GDALCreateGenImgProjTransformer().

Parameters
hTransformArgthe handle to deallocate.

◆ GDALDestroyReprojectionTransformer()

void GDALDestroyReprojectionTransformer ( void *  pTransformArg)

Destroy reprojection transformation.

Parameters
pTransformArgthe transformation handle returned by GDALCreateReprojectionTransformer().

◆ GDALDestroyTPSTransformer()

void GDALDestroyTPSTransformer ( void *  pTransformArg)

Destroy TPS transformer.

This function is used to destroy information about a GCP based polynomial transformation created with GDALCreateTPSTransformer().

Parameters
pTransformArgthe transform arg previously returned by GDALCreateTPSTransformer().

◆ GDALDitherRGB2PCT()

int GDALDitherRGB2PCT ( GDALRasterBandH  hRed,
GDALRasterBandH  hGreen,
GDALRasterBandH  hBlue,
GDALRasterBandH  hTarget,
GDALColorTableH  hColorTable,
GDALProgressFunc  pfnProgress,
void *  pProgressArg 
)

24bit to 8bit conversion with dithering.

This functions utilizes Floyd-Steinberg dithering in the process of converting a 24bit RGB image into a pseudocolored 8bit image using a provided color table.

The red, green and blue input bands do not necessarily need to come from the same file, but they must be the same width and height. They will be clipped to 8bit during reading, so non-eight bit bands are generally inappropriate. Likewise the hTarget band will be written with 8bit values and must match the width and height of the source bands.

The color table cannot have more than 256 entries.

Parameters
hRedRed input band.
hGreenGreen input band.
hBlueBlue input band.
hTargetOutput band.
hColorTablethe color table to use with the output band.
pfnProgresscallback for reporting algorithm progress matching the GDALProgressFunc() semantics. May be NULL.
pProgressArgcallback argument passed to pfnProgress.
Returns
CE_None on success or CE_Failure if an error occurs.

◆ GDALFillNodata()

CPLErr GDALFillNodata ( GDALRasterBandH  hTargetBand,
GDALRasterBandH  hMaskBand,
double  dfMaxSearchDist,
int  bDeprecatedOption,
int  nSmoothingIterations,
char **  papszOptions,
GDALProgressFunc  pfnProgress,
void *  pProgressArg 
)

Fill selected raster regions by interpolation from the edges.

This algorithm will interpolate values for all designated nodata pixels (marked by zeros in hMaskBand). For each pixel a four direction conic search is done to find values to interpolate from (using inverse distance weighting). Once all values are interpolated, zero or more smoothing iterations (3x3 average filters on interpolated pixels) are applied to smooth out artifacts.

This algorithm is generally suitable for interpolating missing regions of fairly continuously varying rasters (such as elevation models for instance). It is also suitable for filling small holes and cracks in more irregularly varying images (like airphotos). It is generally not so great for interpolating a raster from sparse point data - see the algorithms defined in gdal_grid.h for that case.

Parameters
hTargetBandthe raster band to be modified in place.
hMaskBanda mask band indicating pixels to be interpolated (zero valued).
dfMaxSearchDistthe maximum number of pixels to search in all directions to find values to interpolate from.
bDeprecatedOptionunused argument, should be zero.
nSmoothingIterationsthe number of 3x3 smoothing filter passes to run (0 or more).
papszOptionsadditional name=value options in a string list.
  • TEMP_FILE_DRIVER=gdal_driver_name. For example MEM.
  • NODATA=value (starting with GDAL 2.4). Source pixels at that value will be ignored by the interpolator. Warning: currently this will not be honored by smothing passes.
pfnProgressthe progress function to report completion.
pProgressArgcallback data for progress function.
Returns
CE_None on success or CE_Failure if something goes wrong.

◆ GDALFPolygonize()

CPLErr GDALFPolygonize ( GDALRasterBandH  hSrcBand,
GDALRasterBandH  hMaskBand,
OGRLayerH  hOutLayer,
int  iPixValField,
char **  papszOptions,
GDALProgressFunc  pfnProgress,
void *  pProgressArg 
)

Create polygon coverage from raster data.

This function creates vector polygons for all connected regions of pixels in the raster sharing a common pixel value. Optionally each polygon may be labeled with the pixel value in an attribute. Optionally a mask band can be provided to determine which pixels are eligible for processing.

The source pixel band values are read into a 32bit float buffer. If you want to use a (probably faster) version using signed 32bit integer buffer, see GDALPolygonize().

Polygon features will be created on the output layer, with polygon geometries representing the polygons. The polygon geometries will be in the georeferenced coordinate system of the image (based on the geotransform of the source dataset). It is acceptable for the output layer to already have features. Note that GDALFPolygonize() does not set the coordinate system on the output layer. Application code should do this when the layer is created, presumably matching the raster coordinate system.

The algorithm used attempts to minimize memory use so that very large rasters can be processed. However, if the raster has many polygons or very large/complex polygons, the memory use for holding polygon enumerations and active polygon geometries may grow to be quite large.

The algorithm will generally produce very dense polygon geometries, with edges that follow exactly on pixel boundaries for all non-interior pixels. For non-thematic raster data (such as satellite images) the result will essentially be one small polygon per pixel, and memory and output layer sizes will be substantial. The algorithm is primarily intended for relatively simple thematic imagery, masks, and classification results.

Parameters
hSrcBandthe source raster band to be processed.
hMaskBandan optional mask band. All pixels in the mask band with a value other than zero will be considered suitable for collection as polygons.
hOutLayerthe vector feature layer to which the polygons should be written.
iPixValFieldthe attribute field index indicating the feature attribute into which the pixel value of the polygon should be written.
papszOptionsa name/value list of additional options
"8CONNECTED": May be set to "8" to use 8 connectedness. Otherwise 4 connectedness will be applied to the algorithm
pfnProgresscallback for reporting algorithm progress matching the GDALProgressFunc() semantics. May be NULL.
pProgressArgcallback argument passed to pfnProgress.
Returns
CE_None on success or CE_Failure on a failure.
Since
GDAL 1.9.0

◆ GDALGCPTransform()

int GDALGCPTransform ( void *  pTransformArg,
int  bDstToSrc,
int  nPointCount,
double *  x,
double *  y,
double *  z,
int *  panSuccess 
)

Transforms point based on GCP derived polynomial model.

This function matches the GDALTransformerFunc signature, and can be used to transform one or more points from pixel/line coordinates to georeferenced coordinates (SrcToDst) or vice versa (DstToSrc).

Parameters
pTransformArgreturn value from GDALCreateGCPTransformer().
bDstToSrcTRUE if transformation is from the destination (georeferenced) coordinates to pixel/line or FALSE when transforming from pixel/line to georeferenced coordinates.
nPointCountthe number of values in the x, y and z arrays.
xarray containing the X values to be transformed.
yarray containing the Y values to be transformed.
zarray containing the Z values to be transformed.
panSuccessarray in which a flag indicating success (TRUE) or failure (FALSE) of the transformation are placed.
Returns
TRUE.

◆ GDALGenImgProjTransform()

int GDALGenImgProjTransform ( void *  pTransformArgIn,
int  bDstToSrc,
int  nPointCount,
double *  padfX,
double *  padfY,
double *  padfZ,
int *  panSuccess 
)

Perform general image reprojection transformation.

Actually performs the transformation setup in GDALCreateGenImgProjTransformer(). This function matches the signature required by the GDALTransformerFunc(), and more details on the arguments can be found in that topic.

◆ GDALGetTransformerDstGeoTransform()

void GDALGetTransformerDstGeoTransform ( void *  pTransformArg,
double *  padfGeoTransform 
)

Get ApproxTransformer or GenImgProj output geotransform.

Parameters
pTransformArgtransformer handle.
padfGeoTransform(output) the destination geotransform to return (six doubles).

◆ GDALGridContextCreate()

GDALGridContext* GDALGridContextCreate ( GDALGridAlgorithm  eAlgorithm,
const void *  poOptions,
GUInt32  nPoints,
const double *  padfX,
const double *  padfY,
const double *  padfZ,
int  bCallerWillKeepPointArraysAlive 
)

Creates a context to do regular gridding from the scattered data.

This function takes the arrays of X and Y coordinates and corresponding Z values as input to prepare computation of regular grid (or call it a raster) from these scattered data.

On Intel/AMD i386/x86_64 architectures, some gridding methods will be optimized with SSE instructions (provided GDAL has been compiled with such support, and it is available at runtime). Currently, only 'invdist' algorithm with default parameters has an optimized implementation. This can provide substantial speed-up, but sometimes at the expense of reduced floating point precision. This can be disabled by setting the GDAL_USE_SSE configuration option to NO. A further optimized version can use the AVX instruction set. This can be disabled by setting the GDAL_USE_AVX configuration option to NO.

It is possible to set the GDAL_NUM_THREADS configuration option to parallelize the processing. The value to set is the number of worker threads, or ALL_CPUS to use all the cores/CPUs of the computer (default value).

Parameters
eAlgorithmGridding method.
poOptionsOptions to control chosen gridding method.
nPointsNumber of elements in input arrays.
padfXInput array of X coordinates.
padfYInput array of Y coordinates.
padfZInput array of Z values.
bCallerWillKeepPointArraysAliveWhether the provided padfX, padfY, padfZ arrays will still be "alive" during the calls to GDALGridContextProcess(). Setting to TRUE prevent them from being duplicated in the context. If unsure, set to FALSE.
Returns
the context (to be freed with GDALGridContextFree()) or NULL in case or error.
Since
GDAL 2.1

◆ GDALGridContextFree()

void GDALGridContextFree ( GDALGridContext psContext)

Free a context used created by GDALGridContextCreate()

Parameters
psContextthe context.
Since
GDAL 2.1

◆ GDALGridContextProcess()

CPLErr GDALGridContextProcess ( GDALGridContext psContext,
double  dfXMin,
double  dfXMax,
double  dfYMin,
double  dfYMax,
GUInt32  nXSize,
GUInt32  nYSize,
GDALDataType  eType,
void *  pData,
GDALProgressFunc  pfnProgress,
void *  pProgressArg 
)

Do the gridding of a window of a raster.

This function takes the gridding context as input to preprare computation of regular grid (or call it a raster) from these scattered data. You should supply the extent of the output grid and allocate array sufficient to hold such a grid.

Parameters
psContextGridding context.
dfXMinLowest X border of output grid.
dfXMaxHighest X border of output grid.
dfYMinLowest Y border of output grid.
dfYMaxHighest Y border of output grid.
nXSizeNumber of columns in output grid.
nYSizeNumber of rows in output grid.
eTypeData type of output array.
pDataPointer to array where the computed grid will be stored.
pfnProgressa GDALProgressFunc() compatible callback function for reporting progress or NULL.
pProgressArgargument to be passed to pfnProgress. May be NULL.
Returns
CE_None on success or CE_Failure if something goes wrong.
Since
GDAL 2.1

◆ GDALGridCreate()

CPLErr GDALGridCreate ( GDALGridAlgorithm  eAlgorithm,
const void *  poOptions,
GUInt32  nPoints,
const double *  padfX,
const double *  padfY,
const double *  padfZ,
double  dfXMin,
double  dfXMax,
double  dfYMin,
double  dfYMax,
GUInt32  nXSize,
GUInt32  nYSize,
GDALDataType  eType,
void *  pData,
GDALProgressFunc  pfnProgress,
void *  pProgressArg 
)

Create regular grid from the scattered data.

This function takes the arrays of X and Y coordinates and corresponding Z values as input and computes regular grid (or call it a raster) from these scattered data. You should supply geometry and extent of the output grid and allocate array sufficient to hold such a grid.

Starting with GDAL 1.10, it is possible to set the GDAL_NUM_THREADS configuration option to parallelize the processing. The value to set is the number of worker threads, or ALL_CPUS to use all the cores/CPUs of the computer (default value).

Starting with GDAL 1.10, on Intel/AMD i386/x86_64 architectures, some gridding methods will be optimized with SSE instructions (provided GDAL has been compiled with such support, and it is available at runtime). Currently, only 'invdist' algorithm with default parameters has an optimized implementation. This can provide substantial speed-up, but sometimes at the expense of reduced floating point precision. This can be disabled by setting the GDAL_USE_SSE configuration option to NO. Starting with GDAL 1.11, a further optimized version can use the AVX instruction set. This can be disabled by setting the GDAL_USE_AVX configuration option to NO.

Note: it will be more efficient to use GDALGridContextCreate(), GDALGridContextProcess() and GDALGridContextFree() when doing repeated gridding operations with the same algorithm, parameters and points, and moving the window in the output grid.

Parameters
eAlgorithmGridding method.
poOptionsOptions to control chosen gridding method.
nPointsNumber of elements in input arrays.
padfXInput array of X coordinates.
padfYInput array of Y coordinates.
padfZInput array of Z values.
dfXMinLowest X border of output grid.
dfXMaxHighest X border of output grid.
dfYMinLowest Y border of output grid.
dfYMaxHighest Y border of output grid.
nXSizeNumber of columns in output grid.
nYSizeNumber of rows in output grid.
eTypeData type of output array.
pDataPointer to array where the computed grid will be stored.
pfnProgressa GDALProgressFunc() compatible callback function for reporting progress or NULL.
pProgressArgargument to be passed to pfnProgress. May be NULL.
Returns
CE_None on success or CE_Failure if something goes wrong.

◆ GDALHasTriangulation()

int GDALHasTriangulation ( void  )

Returns if GDAL is built with Delaunay triangulation support.

Returns
TRUE if GDAL is built with Delaunay triangulation support.
Since
GDAL 2.1

◆ GDALOpenVerticalShiftGrid()

GDALDatasetH GDALOpenVerticalShiftGrid ( const char *  pszProj4Geoidgrids,
int *  pbError 
)

Load proj.4 geoidgrids as GDAL dataset.

Parameters
pszProj4GeoidgridsValue of proj.4 geoidgrids parameter.
pbErrorIf not NULL, the pointed value will be set to TRUE if an error occurred.
Returns
a dataset. If not NULL, it must be closed with GDALClose().
Since
GDAL 2.2

◆ GDALPolygonize()

CPLErr GDALPolygonize ( GDALRasterBandH  hSrcBand,
GDALRasterBandH  hMaskBand,
OGRLayerH  hOutLayer,
int  iPixValField,
char **  papszOptions,
GDALProgressFunc  pfnProgress,
void *  pProgressArg 
)

Create polygon coverage from raster data.

This function creates vector polygons for all connected regions of pixels in the raster sharing a common pixel value. Optionally each polygon may be labeled with the pixel value in an attribute. Optionally a mask band can be provided to determine which pixels are eligible for processing.

Note that currently the source pixel band values are read into a signed 32bit integer buffer (Int32), so floating point or complex bands will be implicitly truncated before processing. If you want to use a version using 32bit float buffers, see GDALFPolygonize().

Polygon features will be created on the output layer, with polygon geometries representing the polygons. The polygon geometries will be in the georeferenced coordinate system of the image (based on the geotransform of the source dataset). It is acceptable for the output layer to already have features. Note that GDALPolygonize() does not set the coordinate system on the output layer. Application code should do this when the layer is created, presumably matching the raster coordinate system.

The algorithm used attempts to minimize memory use so that very large rasters can be processed. However, if the raster has many polygons or very large/complex polygons, the memory use for holding polygon enumerations and active polygon geometries may grow to be quite large.

The algorithm will generally produce very dense polygon geometries, with edges that follow exactly on pixel boundaries for all non-interior pixels. For non-thematic raster data (such as satellite images) the result will essentially be one small polygon per pixel, and memory and output layer sizes will be substantial. The algorithm is primarily intended for relatively simple thematic imagery, masks, and classification results.

Parameters
hSrcBandthe source raster band to be processed.
hMaskBandan optional mask band. All pixels in the mask band with a value other than zero will be considered suitable for collection as polygons.
hOutLayerthe vector feature layer to which the polygons should be written.
iPixValFieldthe attribute field index indicating the feature attribute into which the pixel value of the polygon should be written.
papszOptionsa name/value list of additional options
"8CONNECTED": May be set to "8" to use 8 connectedness. Otherwise 4 connectedness will be applied to the algorithm
pfnProgresscallback for reporting algorithm progress matching the GDALProgressFunc() semantics. May be NULL.
pProgressArgcallback argument passed to pfnProgress.
Returns
CE_None on success or CE_Failure on a failure.

◆ GDALRasterizeGeometries()

CPLErr GDALRasterizeGeometries ( GDALDatasetH  hDS,
int  nBandCount,
int *  panBandList,
int  nGeomCount,
OGRGeometryH pahGeometries,
GDALTransformerFunc  pfnTransformer,
void *  pTransformArg,
double *  padfGeomBurnValue,
char **  papszOptions,
GDALProgressFunc  pfnProgress,
void *  pProgressArg 
)

Burn geometries into raster.

Rasterize a list of geometric objects into a raster dataset. The geometries are passed as an array of OGRGeometryH handlers.

If the geometries are in the georeferenced coordinates of the raster dataset, then the pfnTransform may be passed in NULL and one will be derived internally from the geotransform of the dataset. The transform needs to transform the geometry locations into pixel/line coordinates on the raster dataset.

The output raster may be of any GDAL supported datatype, though currently internally the burning is done either as GDT_Byte or GDT_Float32. This may be improved in the future. An explicit list of burn values for each geometry for each band must be passed in.

The papszOption list of options currently only supports one option. The "ALL_TOUCHED" option may be enabled by setting it to "TRUE".

Parameters
hDSoutput data, must be opened in update mode.
nBandCountthe number of bands to be updated.
panBandListthe list of bands to be updated.
nGeomCountthe number of geometries being passed in pahGeometries.
pahGeometriesthe array of geometries to burn in.
pfnTransformertransformation to apply to geometries to put into pixel/line coordinates on raster. If NULL a geotransform based one will be created internally.
pTransformArgcallback data for transformer.
padfGeomBurnValuethe array of values to burn into the raster. There should be nBandCount values for each geometry.
papszOptionsspecial options controlling rasterization
  • "ALL_TOUCHED": May be set to TRUE to set all pixels touched by the line or polygons, not just those whose center is within the polygon or that are selected by brezenhams line algorithm. Defaults to FALSE.
  • "BURN_VALUE_FROM": May be set to "Z" to use the Z values of the geometries. dfBurnValue is added to this before burning. Defaults to GDALBurnValueSrc.GBV_UserBurnValue in which case just the dfBurnValue is burned. This is implemented only for points and lines for now. The M value may be supported in the future.
  • "MERGE_ALG": May be REPLACE (the default) or ADD. REPLACE results in overwriting of value, while ADD adds the new value to the existing raster, suitable for heatmaps for instance.
  • "CHUNKYSIZE": The height in lines of the chunk to operate on. The larger the chunk size the less times we need to make a pass through all the shapes. If it is not set or set to zero the default chunk size will be used. Default size will be estimated based on the GDAL cache buffer size using formula: cache_size_bytes/scanline_size_bytes, so the chunk will not exceed the cache. Not used in OPTIM=RASTER mode.
pfnProgressthe progress function to report completion.
pProgressArgcallback data for progress function.
Returns
CE_None on success or CE_Failure on error.

◆ GDALRasterizeLayers()

CPLErr GDALRasterizeLayers ( GDALDatasetH  hDS,
int  nBandCount,
int *  panBandList,
int  nLayerCount,
OGRLayerH pahLayers,
GDALTransformerFunc  pfnTransformer,
void *  pTransformArg,
double *  padfLayerBurnValues,
char **  papszOptions,
GDALProgressFunc  pfnProgress,
void *  pProgressArg 
)

Burn geometries from the specified list of layers into raster.

Rasterize all the geometric objects from a list of layers into a raster dataset. The layers are passed as an array of OGRLayerH handlers.

If the geometries are in the georeferenced coordinates of the raster dataset, then the pfnTransform may be passed in NULL and one will be derived internally from the geotransform of the dataset. The transform needs to transform the geometry locations into pixel/line coordinates on the raster dataset.

The output raster may be of any GDAL supported datatype, though currently internally the burning is done either as GDT_Byte or GDT_Float32. This may be improved in the future. An explicit list of burn values for each layer for each band must be passed in.

Parameters
hDSoutput data, must be opened in update mode.
nBandCountthe number of bands to be updated.
panBandListthe list of bands to be updated.
nLayerCountthe number of layers being passed in pahLayers array.
pahLayersthe array of layers to burn in.
pfnTransformertransformation to apply to geometries to put into pixel/line coordinates on raster. If NULL a geotransform based one will be created internally.
pTransformArgcallback data for transformer.
padfLayerBurnValuesthe array of values to burn into the raster. There should be nBandCount values for each layer.
papszOptionsspecial options controlling rasterization:
  • "ATTRIBUTE": Identifies an attribute field on the features to be used for a burn in value. The value will be burned into all output bands. If specified, padfLayerBurnValues will not be used and can be a NULL pointer.
  • "CHUNKYSIZE": The height in lines of the chunk to operate on. The larger the chunk size the less times we need to make a pass through all the shapes. If it is not set or set to zero the default chunk size will be used. Default size will be estimated based on the GDAL cache buffer size using formula: cache_size_bytes/scanline_size_bytes, so the chunk will not exceed the cache.
  • "ALL_TOUCHED": May be set to TRUE to set all pixels touched by the line or polygons, not just those whose center is within the polygon or that are selected by brezenhams line algorithm. Defaults to FALSE.
  • "BURN_VALUE_FROM": May be set to "Z" to use the Z values of the geometries. The value from padfLayerBurnValues or the attribute field value is added to this before burning. In default case dfBurnValue is burned as it is. This is implemented properly only for points and lines for now. Polygons will be burned using the Z value from the first point. The M value may be supported in the future.
  • "MERGE_ALG": May be REPLACE (the default) or ADD. REPLACE results in overwriting of value, while ADD adds the new value to the existing raster, suitable for heatmaps for instance.
pfnProgressthe progress function to report completion.
pProgressArgcallback data for progress function.
Returns
CE_None on success or CE_Failure on error.

◆ GDALRasterizeLayersBuf()

CPLErr GDALRasterizeLayersBuf ( void *  pData,
int  nBufXSize,
int  nBufYSize,
GDALDataType  eBufType,
int  nPixelSpace,
int  nLineSpace,
int  nLayerCount,
OGRLayerH pahLayers,
const char *  pszDstProjection,
double *  padfDstGeoTransform,
GDALTransformerFunc  pfnTransformer,
void *  pTransformArg,
double  dfBurnValue,
char **  papszOptions,
GDALProgressFunc  pfnProgress,
void *  pProgressArg 
)

Burn geometries from the specified list of layer into raster.

Rasterize all the geometric objects from a list of layers into supplied raster buffer. The layers are passed as an array of OGRLayerH handlers.

If the geometries are in the georeferenced coordinates of the raster dataset, then the pfnTransform may be passed in NULL and one will be derived internally from the geotransform of the dataset. The transform needs to transform the geometry locations into pixel/line coordinates of the target raster.

The output raster may be of any GDAL supported datatype, though currently internally the burning is done either as GDT_Byte or GDT_Float32. This may be improved in the future.

Parameters
pDatapointer to the output data array.
nBufXSizewidth of the output data array in pixels.
nBufYSizeheight of the output data array in pixels.
eBufTypedata type of the output data array.
nPixelSpaceThe byte offset from the start of one pixel value in pData to the start of the next pixel value within a scanline. If defaulted (0) the size of the datatype eBufType is used.
nLineSpaceThe byte offset from the start of one scanline in pData to the start of the next. If defaulted the size of the datatype eBufType * nBufXSize is used.
nLayerCountthe number of layers being passed in pahLayers array.
pahLayersthe array of layers to burn in.
pszDstProjectionWKT defining the coordinate system of the target raster.
padfDstGeoTransformgeotransformation matrix of the target raster.
pfnTransformertransformation to apply to geometries to put into pixel/line coordinates on raster. If NULL a geotransform based one will be created internally.
pTransformArgcallback data for transformer.
dfBurnValuethe value to burn into the raster.
papszOptionsspecial options controlling rasterization:
  • "ATTRIBUTE": Identifies an attribute field on the features to be used for a burn in value. The value will be burned into all output bands. If specified, padfLayerBurnValues will not be used and can be a NULL pointer.
  • "ALL_TOUCHED": May be set to TRUE to set all pixels touched by the line or polygons, not just those whose center is within the polygon or that are selected by brezenhams line algorithm. Defaults to FALSE.
  • "BURN_VALUE_FROM": May be set to "Z" to use the Z values of the geometries. dfBurnValue or the attribute field value is added to this before burning. In default case dfBurnValue is burned as it is. This is implemented properly only for points and lines for now. Polygons will be burned using the Z value from the first point. The M value may be supported in the future.
  • "MERGE_ALG": May be REPLACE (the default) or ADD. REPLACE results in overwriting of value, while ADD adds the new value to the existing raster, suitable for heatmaps for instance.
pfnProgressthe progress function to report completion.
pProgressArgcallback data for progress function.
Returns
CE_None on success or CE_Failure on error.

◆ GDALReprojectionTransform()

int GDALReprojectionTransform ( void *  pTransformArg,
int  bDstToSrc,
int  nPointCount,
double *  padfX,
double *  padfY,
double *  padfZ,
int *  panSuccess 
)

Perform reprojection transformation.

Actually performs the reprojection transformation described in GDALCreateReprojectionTransformer(). This function matches the GDALTransformerFunc() signature. Details of the arguments are described there.

◆ GDALSetGenImgProjTransformerDstGeoTransform()

void GDALSetGenImgProjTransformerDstGeoTransform ( void *  hTransformArg,
const double *  padfGeoTransform 
)

Set GenImgProj output geotransform.

Normally the "destination geotransform", or transformation between georeferenced output coordinates and pixel/line coordinates on the destination file is extracted from the destination file by GDALCreateGenImgProjTransformer() and stored in the GenImgProj private info. However, sometimes it is inconvenient to have an output file handle with appropriate geotransform information when creating the transformation. For these cases, this function can be used to apply the destination geotransform.

Parameters
hTransformArgthe handle to update.
padfGeoTransformthe destination geotransform to apply (six doubles).

◆ GDALSetTransformerDstGeoTransform()

void GDALSetTransformerDstGeoTransform ( void *  pTransformArg,
const double *  padfGeoTransform 
)

Set ApproxTransformer or GenImgProj output geotransform.

This is a layer above GDALSetGenImgProjTransformerDstGeoTransform() that checks that the passed hTransformArg is compatible.

Normally the "destination geotransform", or transformation between georeferenced output coordinates and pixel/line coordinates on the destination file is extracted from the destination file by GDALCreateGenImgProjTransformer() and stored in the GenImgProj private info. However, sometimes it is inconvenient to have an output file handle with appropriate geotransform information when creating the transformation. For these cases, this function can be used to apply the destination geotransform.

Parameters
pTransformArgthe handle to update.
padfGeoTransformthe destination geotransform to apply (six doubles).

◆ GDALSieveFilter()

CPLErr GDALSieveFilter ( GDALRasterBandH  hSrcBand,
GDALRasterBandH  hMaskBand,
GDALRasterBandH  hDstBand,
int  nSizeThreshold,
int  nConnectedness,
char **  papszOptions,
GDALProgressFunc  pfnProgress,
void *  pProgressArg 
)

Removes small raster polygons.

The function removes raster polygons smaller than a provided threshold size (in pixels) and replaces replaces them with the pixel value of the largest neighbour polygon.

Polygon are determined (per GDALRasterPolygonEnumerator) as regions of the raster where the pixels all have the same value, and that are contiguous (connected).

Pixels determined to be "nodata" per hMaskBand will not be treated as part of a polygon regardless of their pixel values. Nodata areas will never be changed nor affect polygon sizes.

Polygons smaller than the threshold with no neighbours that are as large as the threshold will not be altered. Polygons surrounded by nodata areas will therefore not be altered.

The algorithm makes three passes over the input file to enumerate the polygons and collect limited information about them. Memory use is proportional to the number of polygons (roughly 24 bytes per polygon), but is not directly related to the size of the raster. So very large raster files can be processed effectively if there aren't too many polygons. But extremely noisy rasters with many one pixel polygons will end up being expensive (in memory) to process.

Parameters
hSrcBandthe source raster band to be processed.
hMaskBandan optional mask band. All pixels in the mask band with a value other than zero will be considered suitable for inclusion in polygons.
hDstBandthe output raster band. It may be the same as hSrcBand to update the source in place.
nSizeThresholdraster polygons with sizes smaller than this will be merged into their largest neighbour.
nConnectednesseither 4 indicating that diagonal pixels are not considered directly adjacent for polygon membership purposes or 8 indicating they are.
papszOptionsalgorithm options in name=value list form. None currently supported.
pfnProgresscallback for reporting algorithm progress matching the GDALProgressFunc() semantics. May be NULL.
pProgressArgcallback argument passed to pfnProgress.
Returns
CE_None on success or CE_Failure if an error occurs.

◆ GDALSimpleImageWarp()

int GDALSimpleImageWarp ( GDALDatasetH  hSrcDS,
GDALDatasetH  hDstDS,
int  nBandCount,
int *  panBandList,
GDALTransformerFunc  pfnTransform,
void *  pTransformArg,
GDALProgressFunc  pfnProgress,
void *  pProgressArg,
char **  papszWarpOptions 
)

Perform simple image warp.

Copies an image from a source dataset to a destination dataset applying an application defined transformation. This algorithm is called simple because it lacks many options such as resampling kernels (other than nearest neighbour), support for data types other than 8bit, and the ability to warp images without holding the entire source and destination image in memory.

The following option(s) may be passed in papszWarpOptions.

  • "INIT=v[,v...]": This option indicates that the output dataset should be initialized to the indicated value in any area valid data is not written. Distinct values may be listed for each band separated by columns.
Parameters
hSrcDSthe source image dataset.
hDstDSthe destination image dataset.
nBandCountthe number of bands to be warped. If zero, all bands will be processed.
panBandListthe list of bands to translate.
pfnTransformthe transformation function to call. See GDALTransformerFunc().
pTransformArgthe callback handle to pass to pfnTransform.
pfnProgressthe function used to report progress. See GDALProgressFunc().
pProgressArgthe callback handle to pass to pfnProgress.
papszWarpOptionsadditional options controlling the warp.
Returns
TRUE if the operation completes, or FALSE if an error occurs.

◆ GDALSuggestedWarpOutput()

CPLErr GDALSuggestedWarpOutput ( GDALDatasetH  hSrcDS,
GDALTransformerFunc  pfnTransformer,
void *  pTransformArg,
double *  padfGeoTransformOut,
int *  pnPixels,
int *  pnLines 
)

Suggest output file size.

This function is used to suggest the size, and georeferenced extents appropriate given the indicated transformation and input file. It walks the edges of the input file (approximately 20 sample points along each edge) transforming into output coordinates in order to get an extents box.

Then a resolution is computed with the intent that the length of the distance from the top left corner of the output imagery to the bottom right corner would represent the same number of pixels as in the source image. Note that if the image is somewhat rotated the diagonal taken isn't of the whole output bounding rectangle, but instead of the locations where the top/left and bottom/right corners transform. The output pixel size is always square. This is intended to approximately preserve the resolution of the input data in the output file.

The values returned in padfGeoTransformOut, pnPixels and pnLines are the suggested number of pixels and lines for the output file, and the geotransform relating those pixels to the output georeferenced coordinates.

The trickiest part of using the function is ensuring that the transformer created is from source file pixel/line coordinates to output file georeferenced coordinates. This can be accomplished with GDALCreateGenImgProjTransformer() by passing a NULL for the hDstDS.

Parameters
hSrcDSthe input image (it is assumed the whole input images is being transformed).
pfnTransformerthe transformer function.
pTransformArgthe callback data for the transformer function.
padfGeoTransformOutthe array of six doubles in which the suggested geotransform is returned.
pnPixelsint in which the suggest pixel width of output is returned.
pnLinesint in which the suggest pixel height of output is returned.
Returns
CE_None if successful or CE_Failure otherwise.

◆ GDALSuggestedWarpOutput2()

CPLErr GDALSuggestedWarpOutput2 ( GDALDatasetH  hSrcDS,
GDALTransformerFunc  pfnTransformer,
void *  pTransformArg,
double *  padfGeoTransformOut,
int *  pnPixels,
int *  pnLines,
double *  padfExtent,
int  nOptions 
)

Suggest output file size.

This function is used to suggest the size, and georeferenced extents appropriate given the indicated transformation and input file. It walks the edges of the input file (approximately 20 sample points along each edge) transforming into output coordinates in order to get an extents box.

Then a resolution is computed with the intent that the length of the distance from the top left corner of the output imagery to the bottom right corner would represent the same number of pixels as in the source image. Note that if the image is somewhat rotated the diagonal taken isn't of the whole output bounding rectangle, but instead of the locations where the top/left and bottom/right corners transform. The output pixel size is always square. This is intended to approximately preserve the resolution of the input data in the output file.

The values returned in padfGeoTransformOut, pnPixels and pnLines are the suggested number of pixels and lines for the output file, and the geotransform relating those pixels to the output georeferenced coordinates.

The trickiest part of using the function is ensuring that the transformer created is from source file pixel/line coordinates to output file georeferenced coordinates. This can be accomplished with GDALCreateGenImgProjTransformer() by passing a NULL for the hDstDS.

Parameters
hSrcDSthe input image (it is assumed the whole input images is being transformed).
pfnTransformerthe transformer function.
pTransformArgthe callback data for the transformer function.
padfGeoTransformOutthe array of six doubles in which the suggested geotransform is returned.
pnPixelsint in which the suggest pixel width of output is returned.
pnLinesint in which the suggest pixel height of output is returned.
padfExtentFour entry array to return extents as (xmin, ymin, xmax, ymax).
nOptionsOptions, currently always zero.
Returns
CE_None if successful or CE_Failure otherwise.

◆ GDALTPSTransform()

int GDALTPSTransform ( void *  pTransformArg,
int  bDstToSrc,
int  nPointCount,
double *  x,
double *  y,
double *  z,
int *  panSuccess 
)

Transforms point based on GCP derived polynomial model.

This function matches the GDALTransformerFunc signature, and can be used to transform one or more points from pixel/line coordinates to georeferenced coordinates (SrcToDst) or vice versa (DstToSrc).

Parameters
pTransformArgreturn value from GDALCreateTPSTransformer().
bDstToSrcTRUE if transformation is from the destination (georeferenced) coordinates to pixel/line or FALSE when transforming from pixel/line to georeferenced coordinates.
nPointCountthe number of values in the x, y and z arrays.
xarray containing the X values to be transformed.
yarray containing the Y values to be transformed.
zarray containing the Z values to be transformed.
panSuccessarray in which a flag indicating success (TRUE) or failure (FALSE) of the transformation are placed.
Returns
TRUE.

◆ GDALTransformGeolocations()

CPLErr GDALTransformGeolocations ( GDALRasterBandH  hXBand,
GDALRasterBandH  hYBand,
GDALRasterBandH  hZBand,
GDALTransformerFunc  pfnTransformer,
void *  pTransformArg,
GDALProgressFunc  pfnProgress,
void *  pProgressArg,
char **  papszOptions 
)

Transform locations held in bands.

The X/Y and possibly Z values in the identified bands are transformed using a spatial transformer. The changes values are written back to the source bands so they need to updatable.

Parameters
hXBandthe band containing the X locations (usually long/easting).
hYBandthe band containing the Y locations (usually lat/northing).
hZBandthe band containing the Z locations (may be NULL).
pfnTransformerthe transformer function.
pTransformArgthe callback data for the transformer function.
pfnProgresscallback for reporting algorithm progress matching the GDALProgressFunc() semantics. May be NULL.
pProgressArgcallback argument passed to pfnProgress.
papszOptionslist of name/value options - none currently supported.
Returns
CE_None on success or CE_Failure if an error occurs.

◆ GDALTriangulationComputeBarycentricCoefficients()

int GDALTriangulationComputeBarycentricCoefficients ( GDALTriangulation psDT,
const double *  padfX,
const double *  padfY 
)

Computes barycentric coefficients for each triangles of the triangulation.

Parameters
psDTtriangulation.
padfXx coordinates of the points. Must be identical to the one passed to GDALTriangulationCreateDelaunay().
padfYy coordinates of the points. Must be identical to the one passed to GDALTriangulationCreateDelaunay().
Returns
TRUE in case of success.
Since
GDAL 2.1

◆ GDALTriangulationComputeBarycentricCoordinates()

int GDALTriangulationComputeBarycentricCoordinates ( const GDALTriangulation psDT,
int  nFacetIdx,
double  dfX,
double  dfY,
double *  pdfL1,
double *  pdfL2,
double *  pdfL3 
)

Computes the barycentric coordinates of a point.

Parameters
psDTtriangulation.
nFacetIdxindex of the triangle in the triangulation
dfXx coordinate of the point.
dfYy coordinate of the point.
pdfL1(output) pointer to the 1st barycentric coordinate.
pdfL2(output) pointer to the 2nd barycentric coordinate.
pdfL3(output) pointer to the 2nd barycentric coordinate.
Returns
TRUE in case of success.
Since
GDAL 2.1

◆ GDALTriangulationCreateDelaunay()

GDALTriangulation* GDALTriangulationCreateDelaunay ( int  nPoints,
const double *  padfX,
const double *  padfY 
)

Computes a Delaunay triangulation of the passed points.

Parameters
nPointsnumber of points
padfXx coordinates of the points.
padfYy coordinates of the points.
Returns
triangulation that must be freed with GDALTriangulationFree(), or NULL in case of error.
Since
GDAL 2.1

◆ GDALTriangulationFindFacetBruteForce()

int GDALTriangulationFindFacetBruteForce ( const GDALTriangulation psDT,
double  dfX,
double  dfY,
int *  panOutputFacetIdx 
)

Returns the index of the triangle that contains the point by iterating over all triangles.

If the function returns FALSE and *panOutputFacetIdx >= 0, then it means the point is outside the hull of the triangulation, and *panOutputFacetIdx is the closest triangle to the point.

Parameters
psDTtriangulation.
dfXx coordinate of the point.
dfYy coordinate of the point.
panOutputFacetIdx(output) pointer to the index of the triangle, or -1 in case of failure.
Returns
index >= 0 of the triangle in case of success, -1 otherwise.
Since
GDAL 2.1

◆ GDALTriangulationFindFacetDirected()

int GDALTriangulationFindFacetDirected ( const GDALTriangulation psDT,
int  nFacetIdx,
double  dfX,
double  dfY,
int *  panOutputFacetIdx 
)

Returns the index of the triangle that contains the point by walking in the triangulation.

If the function returns FALSE and *panOutputFacetIdx >= 0, then it means the point is outside the hull of the triangulation, and *panOutputFacetIdx is the closest triangle to the point.

Parameters
psDTtriangulation.
nFacetIdxindex of first triangle to start with. Must be >= 0 && < psDT->nFacets
dfXx coordinate of the point.
dfYy coordinate of the point.
panOutputFacetIdx(output) pointer to the index of the triangle, or -1 in case of failure.
Returns
TRUE in case of success, FALSE otherwise.
Since
GDAL 2.1

◆ GDALTriangulationFree()

void GDALTriangulationFree ( GDALTriangulation psDT)

Free a triangulation.

Parameters
psDTtriangulation.
Since
GDAL 2.1

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