Changes between Version 31 and Version 32 of Links


Ignore:
Timestamp:
Mar 30, 2015 5:40:39 PM (5 years ago)
Author:
dac
Comment:

Added RSGISLib

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  • Links

    v31 v32  
    3535 * [http://fityk.nieto.pl/ fityk] curve fitting tool (useful for full waveform LiDAR data). Free for version 0.9.8 and older.''FW''
    3636
     37 * [http://scigeo.org/articles/howto-install-latest-geospatial-software-on-linux.html Installing geospatial software on Linux]. Instructions on how to install a number of packages from source under Ubuntu / CentOS.
     38
    3739'''Tutorials'''
    3840
     
    5557 * [https://github.com/arsf/apl APL] Github page for our in-house hyperspectral processing code
    5658 * [http://www.rese.ch/products/atcor/atcor4/ ATCOR] Program for atmospheric correction of spectral remote sensing data
    57  * [https://bitbucket.org/arsf/tuiview TuiView (ARSF Fork)] Open source geospatial image viewer, supports viewing spectral profiles and opening zipped bil files (as provided with ARSF deliveries). ARSF fork can also read level1b files. Original version available from [https://bitbucket.org/chchrsc/tuiview here]
     59 * [https://bitbucket.org/arsf/tuiview TuiView (ARSF Fork)] Open source geospatial image viewer, supports viewing spectral profiles and opening zipped bil files (as provided with ARSF deliveries). ARSF fork reads level1b files by default. Original version available from [https://bitbucket.org/chchrsc/tuiview here]
    5860
    5961'''Tutorials'''
     
    7577 * [http://trac.osgeo.org/proj/ PROJ4 cartographic projections library] useful for re-projecting point data but can be difficult to use.
    7678 * [https://bitbucket.org/chchrsc/rios/ Raster I/O Simplification (RIOS)] Python library built on top of GDAL for raster processing. Reads and writes data in tiles and passes blocks of data as NumPy arrays for efficient processing of large datasets.
    77 
     79 * [http://rsgislib.org/ RSGISLib] The Remote Sensing and GIS Library. A collection of tools for processing remote sensing and GIS datasets accessed using Python bindings