176 | | * i.gcp: Manages Ground Control Points (GCPs) non-interactively. |
177 | | * i.image.bathymetry: Satellite Derived Bathymetry (SDB) from multispectral images |
178 | | * i.landsat8.qc: Reclass Landsat8 QA band according to acceptable pixel quality as defined by the user |
179 | | * i.landsat8.swlst: Practical split-window algorithm estimating Land Surface Temperature from Landsat 8 OLI/TIRS imagery |
180 | | * i.lswt: Compute LSWT from TOA Brightness Temperatures |
181 | | * i.ortho.corr: Correct orthophoto taking part of the near orthophotos using the camera angle map |
182 | | * i.segment.stats: Calculates statistics describing raster areas |
183 | | * i.segment.uspo: Unsupervised segmentation parameter optimization |
184 | | * r.change.info: Landscape change assessment |
185 | | * r.colors.cubehelix: Create or apply a cubehelix color table to a GRASS raster map |
186 | | * r.colors.matplotlib: Convert or apply a Matplotlib color table to a GRASS raster map |
187 | | * r.euro.ecosystem: Sets colors and categories of European ecosystem raster data set |
188 | | * r.jpdf: From two series of input raster maps, calculates the joint probability function and outputs the probabilities of occurrence in the specified bins. |
189 | | * r.mcda.promethee: Multicirtieria decision analysis based on PROMETHEE method |
190 | | * r.neighborhoodmatrix: Calculates a neighborhood matrix for a raster map with regions |
191 | | * r.object.geometry: Calculates geometry parameters for raster objects. |
192 | | * r.out.legend: Create and export image file with legend of a raster map |
193 | | * r.quantile.ref: Determines quantile for input value from reference raster map layers. |
194 | | * r.randomforest: Provides supervised random forest classification |
195 | | * r.series.decompose: Program calculates decomposition of time series X |
196 | | * r.terrain.texture: Pit and peak density |
197 | | * r.tri: Terrain Ruggedness Index |
198 | | * r.vector.ruggedness: Vector Ruggedness Measure |
199 | | * r3.what: Queries 3D raster in specified 2D or 3D coordinates. |
200 | | * v.class.mlR: Provides supervised support vector machine classification |
201 | | * v.clip: Extracts features of input map which overlay features of clip map. |
202 | | * v.explode: Explode polylines, splitting them to separate lines (uses v.split + v.category) |
203 | | * v.in.gbif: importing of GBIF species distribution data |
204 | | * v.in.natura2000: importing of Natura 2000 spatial data of protected areas |
205 | | * v.in.osm: Imports OpenStreetMap data into GRASS GIS. |
206 | | * v.in.redlist: importing of IUCN Red List Spatial Data |
207 | | * v.maxent.swd: Export raster values at given point locations as text file in SWD format for input in Maxent |
208 | | * v.mrmr: Perform Minimum Redundancy Maximum Relevance Feature Selection on a GRASS Attribute Table |
209 | | * v.sort.points: Sorts a vector point map according to a numeric column |
210 | | * v.strds.stats: Calculates univariate statistics from given space-time raster datasets based on a vector map |
211 | | * v.stream.order: Compute the stream order of stream networks stored in a vector map at specific outlet vector points |
212 | | * v.surf.tps: Performs thin plate spline interpolation with regularization and covariables |
213 | | * v.tin.to.rast: Converts (rasterize) a TIN map into a raster map |
214 | | * v.what.spoly: Queries vector map with overlaping spaghetti polygons (e.g. Landsat footprints) at given location. Polygons must have not intersected boundaries. |
| 176 | * G7A:i.gcp: Manages Ground Control Points (GCPs) non-interactively. |
| 177 | * G7A:i.image.bathymetry: Satellite Derived Bathymetry (SDB) from multispectral images |
| 178 | * G7A:i.landsat8.qc: Reclass Landsat8 QA band according to acceptable pixel quality as defined by the user |
| 179 | * G7A:i.landsat8.swlst: Practical split-window algorithm estimating Land Surface Temperature from Landsat 8 OLI/TIRS imagery |
| 180 | * G7A:i.lswt: Compute LSWT from TOA Brightness Temperatures |
| 181 | * G7A:i.ortho.corr: Correct orthophoto taking part of the near orthophotos using the camera angle map |
| 182 | * G7A:i.segment.stats: Calculates statistics describing raster areas |
| 183 | * G7A:i.segment.uspo: Unsupervised segmentation parameter optimization |
| 184 | * G7A:r.change.info: Landscape change assessment |
| 185 | * G7A:r.colors.cubehelix: Create or apply a cubehelix color table to a GRASS raster map |
| 186 | * G7A:r.colors.matplotlib: Convert or apply a Matplotlib color table to a GRASS raster map |
| 187 | * G7A:r.euro.ecosystem: Sets colors and categories of European ecosystem raster data set |
| 188 | * G7A:r.jpdf: From two series of input raster maps, calculates the joint probability function and outputs the probabilities of occurrence in the specified bins. |
| 189 | * G7A:r.mcda.promethee: Multicirtieria decision analysis based on PROMETHEE method |
| 190 | * G7A:r.neighborhoodmatrix: Calculates a neighborhood matrix for a raster map with regions |
| 191 | * G7A:r.object.geometry: Calculates geometry parameters for raster objects. |
| 192 | * G7A:r.out.legend: Create and export image file with legend of a raster map |
| 193 | * G7A:r.quantile.ref: Determines quantile for input value from reference raster map layers. |
| 194 | * G7A:r.randomforest: Provides supervised random forest classification |
| 195 | * G7A:r.series.decompose: Program calculates decomposition of time series X |
| 196 | * G7A:r.terrain.texture: Pit and peak density |
| 197 | * G7A:r.tri: Terrain Ruggedness Index |
| 198 | * G7A:r.vector.ruggedness: Vector Ruggedness Measure |
| 199 | * G7A:r3.what: Queries 3D raster in specified 2D or 3D coordinates. |
| 200 | * G7A:v.class.mlR: Provides supervised support vector machine classification |
| 201 | * G7A:v.clip: Extracts features of input map which overlay features of clip map. |
| 202 | * G7A:v.explode: Explode polylines, splitting them to separate lines (uses v.split + v.category) |
| 203 | * G7A:v.in.gbif: importing of GBIF species distribution data |
| 204 | * G7A:v.in.natura2000: importing of Natura 2000 spatial data of protected areas |
| 205 | * G7A:v.in.osm: Imports OpenStreetMap data into GRASS GIS. |
| 206 | * G7A:v.in.redlist: importing of IUCN Red List Spatial Data |
| 207 | * G7A:v.maxent.swd: Export raster values at given point locations as text file in SWD format for input in Maxent |
| 208 | * G7A:v.mrmr: Perform Minimum Redundancy Maximum Relevance Feature Selection on a GRASS Attribute Table |
| 209 | * G7A:v.sort.points: Sorts a vector point map according to a numeric column |
| 210 | * G7A:v.strds.stats: Calculates univariate statistics from given space-time raster datasets based on a vector map |
| 211 | * G7A:v.stream.order: Compute the stream order of stream networks stored in a vector map at specific outlet vector points |
| 212 | * G7A:v.surf.tps: Performs thin plate spline interpolation with regularization and covariables |
| 213 | * G7A:v.tin.to.rast: Converts (rasterize) a TIN map into a raster map |
| 214 | * G7A:v.what.spoly: Queries vector map with overlaping spaghetti polygons (e.g. Landsat footprints) at given location. Polygons must have not intersected boundaries. |