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ReSe - Remote Sensing Applications

 

What We Do

 

ReSe Applications Schläpfer provides Remote Sensing Applications that are being used for processing multispectral and hyperspectral images. The sensing of the environment is commonly done by means of airborne or spaceborne systems. Our dedicated software applications enhance the gathered spectral imaging data, applying direct orthorectification (PARGE), atmospheric and topographic correction (ATCOR), as well as allowing for validation and research using Modtran® (MODO). The imaging spectroscopy, or chemical sensing alternatively, serves in the fields of environmental research, geological exploration (mineral spectroscopy), agricultural and forestry industries, airborne reconnaissance, as well as for mapping applications.

The provided software applications MODO, PARGE, and ATCOR are designed to process remote sensing data derived from airborne and spaceborne systems the like. The software is used by data provider, researchers and commercial end users. It builds upon IDL technology to extend remote sensing software packages like ENVI.

Airborne Remote Sensing

In the processing chain of airborne systems, our two major applications PARGE and ATCOR-4 are used:

Furthermore, MODO may be used for the design, the validation and for application development based on airborne systems.

A list of sensors and sensor suppliers supported by PARGE and ATCOR-4 is given below (in alphabetical order):

 

Satellite Remote Sensing

The ATCOR-3 atmospheric correction software is built for the processing of standard satellite remote sensing systems. A complete compilation of currently supported systems is given in our List of supported Satellite Sensors.

Satellite ATCOR technology has been licensed by DLR to Leica ERDAS and PCI Geomatics for inclusion in their image processing systems, whereas the original implementation of ATCOR is further developed and maintained by ReSe Applications Schläpfer. Our ATCOR technology is used in operational processing chains for satellite systems such as the RapidEye sensor.

 
 
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last modified: DS, ReSe, 20.12.16