Difference between revisions of "LIDAR"

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<h1> LIDAR and Multi-beam Swath bathymetry data </h1>
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== Modules ==
 
== Modules ==
  
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* [http://grass.ibiblio.org/grass63/manuals/html63_user/r.fillnulls.html r.fillnulls] - Fills no-data areas in raster maps using v.surf.rst splines interpolation.
 
* [http://grass.ibiblio.org/grass63/manuals/html63_user/r.fillnulls.html r.fillnulls] - Fills no-data areas in raster maps using v.surf.rst splines interpolation.
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== Swath Bathymetry Tools ==
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* The [http://david.p.finlayson.googlepages.com/swathwidth v.swathwidith] module by David Finlayson for planning surveys. (development page)
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* An example of [http://bambi.otago.ac.nz/hamish/grass/gdal/sidescan_warp.html post-processing scanned paper sidescan swaths] using thin plate spline warping with [http://www.gdal.org/ GDAL's] "<tt>gdalwarp -tps</tt>" function. (debugging page)
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== LIDAR Tools ==
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*  [http://grass.ibiblio.org/grass63/manuals/html63_user/r.terraflow.html r.terraflow] - computation of flow direction, flow accumulation and other basic topographic terrain indices from massive raster digital elevation models (DEM). From the Duke University [http://terrain.cs.duke.edu/ STREAM] project.
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* [http://mpa.itc.it/markus/grass61/demos/rlake/ Flood simulation] using [http://grass.ibiblio.org/grass63/manuals/html63_user/r.lake.html r.lake]. Includes fancy NVIZ visualization of Trento, Italy, by Markus Neteler.
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== Sample data ==
 
== Sample data ==

Revision as of 18:34, 3 December 2006

LIDAR and Multi-beam Swath bathymetry data

Modules

Import

  • r.in.xyz - Create a raster map from an assemblage of many coordinates using univariate statistics.
    (example)
  • v.in.ascii - Import data from an ASCII file to GRASS vector format.
    Limited to a few million data points unless topology and database creation is skipped

Analysis

  • v.lidar.growing - Building contour determination and Region Growing algorithm for determining the building inside.
  • v.lidar.correction - Correction of the v.lidar.growing output. It is the last of the three algorithms for LIDAR filtering.

Surface generation

  • v.surf.rst - Spatial approximation and topographic analysis using regularized spline with tension.
  • v.surf.idw - Surface interpolation from vector point data by Inverse Distance Squared Weighting.
  • r.fillnulls - Fills no-data areas in raster maps using v.surf.rst splines interpolation.


Swath Bathymetry Tools

  • The v.swathwidith module by David Finlayson for planning surveys. (development page)

LIDAR Tools

  • r.terraflow - computation of flow direction, flow accumulation and other basic topographic terrain indices from massive raster digital elevation models (DEM). From the Duke University STREAM project.


Sample data

Widely used in GRASS tutorials

Other

  • USGS Center for LIDAR Information Coordination and Knowledge (aka CLICK) - USGS LiDAR point cloud distribution site
    http://lidar.cr.usgs.gov
  • EarthScope Spatial Data Explorer - A java application for querying, browsing, and acquiring data from the EarthScope Spatial Data Repository. Currently includes a number of LiDAR datasets.
    http://www.earthscope.org/data/lidar.php