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New ascat vegetation optical depth (IB-VOD) retrievals over Africa Xiangzhuo Liu 2035749-0 J.-P. Wigneron d843c1e53d5407018c94fe8c3e07e821 inrae.fr jean-pierre-wigneron 736098 239812-736098 https://orcid.org/0000-0001-5345-3618 https://scholar.google.fr/citations?user=Hfo-3FcAAAAJ&hl=fr https://www.idref.fr/090178858 Frédéric Frappart 21a5f52595ede3c6b111a70449a85bee inrae.fr ffrappart 1338014 54587-1338014 https://orcid.org/0000-0002-4661-8274 https://www.idref.fr/10905024X Nicolas Baghdadi 434ca16932a07d698c6a47db37155932 inrae.fr nicolas-baghdadi 736141 49716-736141 https://orcid.org/0000-0002-9461-4120 https://www.idref.fr/147699614 Mehrez Zribi c2a03dcd04b80bcd21019b60400cd73c ird.fr 808773 779096-808773 https://orcid.org/0000-0001-6141-8222 https://www.idref.fr/147699487 https://scholar.google.fr/citations?user=ZWSUrVYAAAAJ https://viaf.org/viaf/209252627 http://isni.org/isni/0000000358592929 Thomas Jagdhuber 1866125-0 Xiaojun Li 48df4ec06c949dfd4db2c6a773a954f8 inra.fr 1078253 1408799-1078253 https://orcid.org/0000-0002-3831-4852 Mengjia Wang 1670012-0 Lei Fan baaf7a09d1f0c9324e7dac4b912ab6e5 swu.edu.cn 801650 1376655-801650 https://orcid.org/0000-0002-1834-5088 Christophe Moisy 8dddbd8406de3edb476a36d45ed91ef3 inrae.frc.m 1309376 654160-1309376 https://orcid.org/0000-0003-0696-1139 Jean-Pierre Wigneron d843c1e53d5407018c94fe8c3e07e821 inrae.fr TOSCA (Terre Ocean Surfaces Continentales et Atmosphere) CNES, France (Centre National d'Etudes Spatiales) China Scholarship Council 2021-03-10 18:18:01 2025-11-23 03:25:38 2021-03-10 18:39:19 2020-09-26 0 inra_etatDocument_local_0 inra_publicVise_local_SC contributor Jean-Pierre Wigneron d843c1e53d5407018c94fe8c3e07e821 inrae.fr CCSD hal-03165644 https://hal.inrae.fr/hal-03165644 liu:hal-03165644 <i>IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium</i>, Sep 2020, Waikoloa, Hawaii, United States. pp.5011-5013, <a target="_blank" href="https://dx.doi.org/10.1109/IGARSS39084.2020.9324232">⟨10.1109/IGARSS39084.2020.9324232⟩</a> IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, Sep 2020, Waikoloa, Hawaii, United States. pp.5011-5013, ⟨10.1109/IGARSS39084.2020.9324232⟩ CIRAD - Centre de coopération internationale en recherche agronomique pour le développement Sciences De l'Environnement INSU - Institut National des Sciences de l'Univers AgroParisTech Université de Toulouse CNRS - Centre national de la recherche scientifique CNES - Centre national d'études spatiales Observatoire Midi-Pyrénées CESBIO : Centre d'études spatiales de la biosphère Laboratoire des Mécanismes et Transfert en Géologie GET : Geosciences -Environnement- Toulouse GIP Bretagne Environnement TETIS Archive ouverte en agrobiosciences Institut National de Recherche en Agriculture, Alimentation et Environnement INRAE Occitanie Montpellier INRAE Occitanie Toulouse UMR ISPA : Interactions Sol Plante Atmosphère Université Toulouse 3 Université de Toulouse / Toulouse INP Université de Toulouse / Toulouse INP TEST3-HALCNRS collection test Département MathNum Réseau télédétection INRAE Réseau "Systèmes Agricoles et Eau" Ecologie et biodiversité collection test 5 Institut écologie et environnement du CNRS Test MathNum Virtual Symposium International No No Yes No New ascat vegetation optical depth (IB-VOD) retrievals over Africa Xiangzhuo Liu 2035749-0 J.-P. Wigneron d843c1e53d5407018c94fe8c3e07e821 inrae.fr jean-pierre-wigneron 736098 239812-736098 https://orcid.org/0000-0001-5345-3618 https://scholar.google.fr/citations?user=Hfo-3FcAAAAJ&hl=fr https://www.idref.fr/090178858 Frédéric Frappart 21a5f52595ede3c6b111a70449a85bee inrae.fr ffrappart 1338014 54587-1338014 https://orcid.org/0000-0002-4661-8274 https://www.idref.fr/10905024X Nicolas Baghdadi 434ca16932a07d698c6a47db37155932 inrae.fr nicolas-baghdadi 736141 49716-736141 https://orcid.org/0000-0002-9461-4120 https://www.idref.fr/147699614 Mehrez Zribi c2a03dcd04b80bcd21019b60400cd73c ird.fr 808773 779096-808773 https://orcid.org/0000-0001-6141-8222 https://www.idref.fr/147699487 https://scholar.google.fr/citations?user=ZWSUrVYAAAAJ https://viaf.org/viaf/209252627 http://isni.org/isni/0000000358592929 Thomas Jagdhuber 1866125-0 Xiaojun Li 48df4ec06c949dfd4db2c6a773a954f8 inra.fr 1078253 1408799-1078253 https://orcid.org/0000-0002-3831-4852 Mengjia Wang 1670012-0 Lei Fan baaf7a09d1f0c9324e7dac4b912ab6e5 swu.edu.cn 801650 1376655-801650 https://orcid.org/0000-0002-1834-5088 Christophe Moisy 8dddbd8406de3edb476a36d45ed91ef3 inrae.frc.m 1309376 654160-1309376 https://orcid.org/0000-0003-0696-1139 IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium 2020-09-26 2020-10-02 Waikoloa, Hawaii United States IEEE 5011-5013 2021 10.1109/IGARSS39084.2020.9324232 000664335304204 English ASCAT VOD Water Cloud Model Sciences of the Universe [physics]/Continental interfaces, environment Environmental Sciences/Environmental Engineering Conference papers Conference papers Conference papers

Vegetation Optical Depth (VOD) plays an important role in monitoring the earth ecosystems. There are many VOD products released based on different satellites and frequencies. But most of the VOD products are derived from passive microwave data, and very few active VOD products have been released to date. This study investigated retrievals of the active microwave VOD product from C-band ASCAT (Advanced SCATterometer) observations using the water cloud model in large areas. To achieve this, the ASCAT backscatter data and ECMWF soil moisture data were used as inputs to retrieve ASCAT VOD over the whole Africa. The correlation between the retrieved VOD product and proxies of vegetation density (Saatchi biomass) were used to evaluate the model performance.

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