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Vegetation optical depth retrieval from AMSR-E/AMSR2 observations using L-MEB inversion

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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https://hal.inrae.fr/hal-03165647
Contributor : Jean-Pierre Wigneron <>
Submitted on : Wednesday, March 10, 2021 - 6:21:04 PM
Last modification on : Thursday, May 6, 2021 - 10:50:49 AM

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Mengjia Wang, Jean-Pierre Wigneron, Rui Sun, Philippe Ciais, Martin Brandt, et al.. Vegetation optical depth retrieval from AMSR-E/AMSR2 observations using L-MEB inversion. IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, Sep 2020, Waikoloa, United States. pp.5003-5006, ⟨10.1109/IGARSS39084.2020.9323204⟩. ⟨hal-03165647⟩

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