DocumentCode :
576490
Title :
Regularization strategies for agricultural monitoring: The EnMAP vegetation analyzer (AVA)
Author :
Richter, K. ; Hank, T. ; Atzberger, C. ; Locherer, M. ; Mauser, W.
Author_Institution :
Dept. of Geogr., Ludwig-Maximilians Univ. Munich, Munich, Germany
fYear :
2012
fDate :
22-27 July 2012
Firstpage :
6613
Lastpage :
6616
Abstract :
In the frame of the German hyperspectral satellite mission “Environmental Mapping and Analysis Program” (EnMAP) a software interface is under development to facilitate the processing of the future hyperspectral data used by a range of environmental applications. For agricultural studies, the software will include the Agricultural Vegetation Analyzer (AVA) module, which is based on a look-up table (LUT) inversion of a radiative transfer model (RTM). Moreover, a statistical evaluator box (MapStat) will be implemented to validate, amongst others, the estimation of vegetation biophysical variables. Results from a hyperspectral field campaign with the Airborne Prism Experiment (APEX) instrument in Bavaria (Germany) showed that AVA can be regarded as robust and sound technique obtaining moderate to good results without the need of crop- or site specific calibration. MapStat will guarantee comparability between numerous modeling studies expected in the upcoming years within the context of the future EnMAP sensor.
Keywords :
agriculture; data analysis; geophysics computing; parameter estimation; radiative transfer; table lookup; user interfaces; vegetation mapping; APEX instrument; AVA module; Agricultural Vegetation Analyzer module; Airborne Prism Experiment; Bavaria; EnMAP vegetation analyzer; Environmental Mapping and Analysis Program; German hyperspectral satellite mission; Germany; MapStat statistical evaluator box; RTM; agricultural monitoring; agricultural studies; environmental applications; hyperspectral data processing; look up table inversion; parameter estimation; radiative transfer model; regularization strategies; software interface; vegetation biophysical variables; Agriculture; Estimation; Hyperspectral imaging; Table lookup; Vegetation mapping; APEX sensor; EnMAP-Box; agriculture; vegetation biophysical variables;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
ISSN :
2153-6996
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2012.6352083
Filename :
6352083
Link To Document :
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