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