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gis/whitebox-tools: Wrap README at 72 columns.

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Signed-off-by: B. Watson <yalhcru@gmail.com>
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B. Watson 2022-03-13 14:58:31 -04:00
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gis/whitebox-tools/README
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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.