[OSGeo-Discuss] Creating Value from Raster Data

[Alex Mandel]

One might argue that slippy maps and tile caches have added a lot of
value to raster data or at least demand.

But more directly on the topic in addition to GDAL.
GRASS http://www.perrygeo.net/wordpress/?p=104
See pg 115+ from Open Source GIS A GRASS Approach (Neteler, Mitasova)

More generically aside from extraction, there's combinatorial calculation:
Calculation of NDVI for vegetation analysis (NIR and Red bands)
Looking for fires in MODIS data (Thermal band math)
Watershed flows from DEMs
Solar radiation analysis (Think solar panel placement)
etc.

Specifically it sounds like you're talking about Unsupervised/Supervised
classification

A lot of these can be done with any RASTER based analysis application.

So SAGA has some tools, and I can't quite remember but INPE in Brazil
was working on some FOSS Image classification software too.

Thanks,
Alex

On 01/04/2011 03:52 PM, Landon Blake wrote:
> I'm working on a magazine article for ACSM Bulliten entitled "Creating
> Value From Raster Data". The target audience will be land surveyors. I
> was hoping some of the OSGeo guys would be able to help me with a few
> questions as I do my research for the article:
> 
>  
> 
> -          Are there any open source alternatives to automated feature
> creation from raster data, such as is possible with ENVI
> (http://www.ittvis.com/ProductServices/ENVI.aspx) ?
> 
> -          Does anyone know of research or work being done with the
> development of open source algorithms and programming libraries to
> enable automated feature creation from raster data?
> 
> -          Can you think of ways to create value from raster data other
> than extraction of vector features?
> 
>  
> 
> Thanks for any suggestions and information.
> 
>  
> 
> Landon
>