Changes between Version 1 and Version 2 of OsgTerrainData

Timestamp:

Jul 31, 2010, 7:02:13 PM (14 years ago)

Author:

Torben Dannhauer

Comment:

--

OsgTerrainData

@@ -2 +2 @@
 
 = Terrain Data (DEM / Textures) =
+
+
+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