| The GRASS Image Processing Environment is an effort to improve the remote sensing capabilities of GRASS GIS within its future incarnation as in version 7. The remote sensing capacities of GRASS GIS have always been limited to the minimum, i.e. georeferencing, classification, filtering and transform. The prevailing assumption was that scripting was largely used for most of the processing of satellite imagery. With the enhanced number of sensor types, and complexity of scientific applications related to satellite processing, having simplified ways of producing some imagery products became paramount. This took form in a set of modules written in C. Due to the author specialisation, the modules are so far only about the use of public domain common sensors (MODIS, Landsat, etc...), and generic land and water related parameters (water, vegetation, etc.).
This article presents the integration, porting and homogenizing of 50+ modules, all related to exploiting commonly used, freely downloadable satellite imagery. Selected suites of models, chained together are presented as an example of analysis of water consumption through the processing of evapotranspiration models. |