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diff --git a/gis/whitebox-tools/README b/gis/whitebox-tools/README index 40ed36cf0ac81..73328ae9463a7 100644 --- a/gis/whitebox-tools/README +++ b/gis/whitebox-tools/README @@ -1,19 +1,21 @@ -WhiteboxTools is an advanced geospatial data analysis platform developed by -Prof. John Lindsay at the University of Guelph's Geomorphometry and -Hydrogeomatics Research Group. WhiteboxTools can be used to perform common -geographical information systems (GIS) analysis operations, such as -cost-distance analysis, distance buffering, and raster reclassification. Remote -sensing and image processing tasks include image enhancement (e.g. panchromatic -sharpening, contrast adjustments), image mosaicing, numerous filtering -operations, simple classification (k-means), and common image transformations. -WhiteboxTools also contains advanced tooling for spatial hydrological analysis -(e.g. flow-accumulation, watershed delineation, stream network analysis, sink -removal), terrain analysis (e.g. common terrain indices such as slope, -curvatures, wetness index, hillshading; hypsometric analysis; multi-scale -topographic position analysis), and LiDAR data processing. LiDAR point clouds -can be interrogated (LidarInfo, LidarHistogram), segmented, tiled and joined, -analyized for outliers, interpolated to rasters (DEMs, intensity images), and -ground-points can be classified or filtered. WhiteboxTools is not a -cartographic or spatial data visualization package; instead it is meant to -serve as an analytical backend for other data visualization software, mainly -GIS. +WhiteboxTools is an advanced geospatial data analysis platform +developed by Prof. John Lindsay at the University of Guelph's +Geomorphometry and Hydrogeomatics Research Group. WhiteboxTools can be +used to perform common geographical information systems (GIS) analysis +operations, such as cost-distance analysis, distance buffering, and +raster reclassification. Remote sensing and image processing tasks +include image enhancement (e.g. panchromatic sharpening, contrast +adjustments), image mosaicing, numerous filtering operations, +simple classification (k-means), and common image transformations. +WhiteboxTools also contains advanced tooling for spatial hydrological +analysis (e.g. flow-accumulation, watershed delineation, stream +network analysis, sink removal), terrain analysis (e.g. common terrain +indices such as slope, curvatures, wetness index, hillshading; +hypsometric analysis; multi-scale topographic position analysis), +and LiDAR data processing. LiDAR point clouds can be interrogated +(LidarInfo, LidarHistogram), segmented, tiled and joined, analyized +for outliers, interpolated to rasters (DEMs, intensity images), and +ground-points can be classified or filtered. WhiteboxTools is not +a cartographic or spatial data visualization package; instead it is +meant to serve as an analytical backend for other data visualization +software, mainly GIS. |