Changes between Version 2 and Version 3 of OsgVpbBuildEnvLinux

Timestamp:

Jul 31, 2010, 7:01:22 PM (14 years ago)

Author:

Torben Dannhauer

Comment:

--

OsgVpbBuildEnvLinux

@@ -253 +253 @@
 Take care @@+++ NOT @@ to call the compile script again, in this case all compiled tasks will be resetted to status "pending"
 
-
-
-== Source data aquisition ==
-
-The following source data could be used:
-* Digital Elevation Data
- * Free global elevation data with 3 arcs resolution: SRTM data (NASA)
- * Free local high resolution elevation models: DEM data (www.viewfinderpanoramas.org)
-* Textures/Orthophotos
- * Free global low resolution texture data : Bluemarble Next Generation (NASA)
- * Free local low/medium resolution texture data: Landsat (NASA)
- * Commercial global medium/high resolution texture data: Landsat (atlogis.com, ...)
- * Commercial high resolution national texture data: e.g. Germany (Geocontent), USA (USGS), ...
-
-
-=== SRTM-Data ===
-
-SRTM data with 3 arcs are available for free at
-* http://www.csi.cgiar.org/index.asp (american server, very slow)
-* ftp://xftp.jrc.it/pub/srtmV4/ (european mirror, very fast)
-
-Local high resolution DEM data (mainly based on SRTM)
-* http://www.viewfinderpanoramas.org/dem3.html
-
-Tip:
-Because SRTM data is delivery in many small .zip or tar.gz files, download and unpack it automatically:
-<code>
-wget -r ftp://xftp.jrc.it/pub/srtmV4/tiff/
-for zipfile in *.zip;do unzip -o "$zipfile" -d unpacked; done
-</code>
-
-
-=== US texture data ===
-
-Local High and global resolution Texture and DEM data
-* http://edcsns17.cr.usgs.gov/EarthExplorer/
-* http://glovis.usgs.com
-
-To use LANDSAT arial images, read https://zulu.ssc.nasa.gov/mesid/tutorial/LandsatTutorial-V1.html for introduction. LANDSAT datasets are deliverey with up to seven images, each representing a different sensor with different wavelength. Three of this files (sensors for RGB) must be combined for the raw "natural" image.
-
-The image merging is possible with gdal_merge.py (available in FWTools):
-<code>
-gdal_merge.py -o outfile.tif R_sensor.tif  G_sensor.tif B_sensor.tif
-</code>
-
-=== National high resolution data ===
-
-National high resolution data is available from many companies. Germany: !GeoContent
-
-
-== compress Data ===
-
-To shift system load from HDD to CPU, compress all textures lossless with LZW. This will increase rendering time a lot, because usually the HDD ist the bottleneck.
-{{{
-gdal_translate -co "COMPRESS=LZW" unsw ToDo
-}}}
-
-=== Moon Data ===
-
-To animate earth rising above moon horizon, it could be usefull to model the moon.
-
-http://lunar.arc.nasa.gov/dataviz/datamaps/index.html
+See TerrainData for data sources.
 
 == Troubleshooting ==