Vegetation Optical Depth Retrieval from AMSR-E/AMSR2 Observations Using L-MEB Inversion

Mengjia Wang,Rui Sun,Rasmus Fensholt,Xiangzhuo Liu,Yi Liu,Martin Brandt,Jean-Pierre Wigneron,Lei Fan,Frederic Frappart,Philippe Ciais,Xiaojun Li

doi:10.1109/igarss39084.2020.9323204

Vegetation Optical Depth Retrieval from AMSR-E/AMSR2 Observations Using L-MEB Inversion

Mengjia Wang, Rui Sun + Show 9 more

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https://doi.org/10.1109/igarss39084.2020.9323204

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Publication Date: Sep 26, 2020

License type: cc-by-nc

Affiliation: Atmosphere Plant Soil Interactions, National Research Institute for Agriculture, Food and Environment, State Key Laboratory of Remote Sensing Science, Beijing Normal University, University of Copenhagen, Nanjing University of Information Science and Technology, French National Centre for Scientific Research, Laboratoire des Sciences du Climat et de l'Environnement, CEA Saclay, Versailles Saint-Quentin-en-Yvelines University, University of Paris-Saclay, Atomic Energy and Alternative Energies Commission

#Vegetation Optical Depth #Copernicus Global Land Service + Show 8 more

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Abstract

Decade years of efforts on the retrieval of soil moisture based on radiative transfer model have largely improved the accuracy of soil moisture (SM). This paper focus on the other parameter, namely vegetation optical depth (VOD). We retrieved X-band VOD from AMSR-E and AMSR2 observations by inverting the L-MEB model (Wigneron et al. 2007 [1]) at X-band, considering that SM was known. As SM input to the L-MEB inversion we used the ECMWF SM product. This step avoids correlation between VOD and SM retrievals from the mono-angular AMSR-E observations. In a first step we evaluated the retrieved VOD with the Copernicus Global Land Service (CGLS) LAI. The evaluation results indicate our model has a great potential for VOD retrievals from AMSR-E/2 satellite data.

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