Difference between revisions of "Processing GeoData for CEDEUS"

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(Processing Aerial images from SECTRA)
(Processing Aerial images from SECTRA)
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This pager provides logging info and processing instructions for CEDEUS data.
 
This pager provides logging info and processing instructions for CEDEUS data.
  
== Processing Aerial images from SECTRA ==
+
== Processing Aerial Images from SECTRA ==
 
* downlading zip files with ecw images from:
 
* downlading zip files with ecw images from:
 
** 2007: http://www.sectra.gob.cl/datos_e_informacion_espacial/gran_santiago/ortofoto_2007.html
 
** 2007: http://www.sectra.gob.cl/datos_e_informacion_espacial/gran_santiago/ortofoto_2007.html

Revision as of 14:42, 4 May 2015

>> return to Cedeus IDE


This pager provides logging info and processing instructions for CEDEUS data.

Processing Aerial Images from SECTRA

  • downlading zip files with ecw images from:
  • unpacking the zip files with winrar on Windows to have finally the ecw files (I did this with winrar, as it allows to select multiple zips easily and giving one output dir)
  • converting the ECW files to GeoTIFF:
    • use QGIS under Windows (installed with OSGeo installer) to convert the files. Important, QGIS for Windows comes with ecw support, while on Ubuntu it has to be installed first... so its much easier
    • I used the QGIS function: Raster > Conversion > Translate (Convert Format) which utilized gdal_translate (of course ;)
    • apply batch processing
    • for the 16cm/px data it makes sence, I think, to use jpg compressing. This returns the smallest files, in comparing to other compression modes. Using jpg compression should be ok, as the ecw files are compressed lossy anyway (using the wavelet transform), and we have images = non-category data.
  • generate an index file:
    • the idea is to create a shapefile containing an image index, to be uploaded to GeoNode
    • in QGIS I used the function Raster > Miscellaneous > Tile Index... which utilizes gdaltindex