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Simulation-based case studies for optimization of sensor design and image-based parameter retrieval using the EnMAP scene simulator

Authors
/persons/resource/segl

Segl,  Karl
1.4 Remote Sensing, 1.0 Geodesy and Remote Sensing, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/guanter

Guanter,  Luis
0 Pre-GFZ, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/charly

Kaufmann,  Hermann
1.4 Remote Sensing, 1.0 Geodesy and Remote Sensing, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

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Citation

Segl, K., Guanter, L., Kaufmann, H. (2010): Simulation-based case studies for optimization of sensor design and image-based parameter retrieval using the EnMAP scene simulator - Hyperspectral Workshop 2010 (Frascati, Italy 2010), Hyperspectral Workshop 2010 (Frascati, Italy 2010).


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_242256
Abstract
A simulator of hyperspectral images has been developed in the frame of the Environmental Mapping and Analysis Program (EnMAP) mission. It represents a powerful tool to simulate and process realistic EnMAP scenes under varying instrumental and environmental configurations. In this work, the EnMAP forward scene simulator has been coupled to a series of pre-processing modules (radiometric calibration and atmospheric and geometric correction) in order to build a representative end-to-end simulation model. This end-to-end simulator is able to derive EnMAP reflectance images after the complete L1 and L2 processing chain including radiometric calibration, orthorectification and atmospheric correction. Some case studies from these end-to-end simulations are presented in this poster, with emphasis put on quantitative evaluation of the influence of instrumental and processing errors on the retrieval of higher-level products.