NEW ASCAT VEGETATION OPTICAL DEPTH (IB-VOD) RETRIEVALS OVER AFRICA

被引:0
|
作者
Liu, Xiangzhuo [1 ]
Wigneron, J-P [1 ]
Frappart, Frederic [2 ,3 ]
Baghdadi, Nicolas [4 ]
Zribi, Mehrez [5 ]
Jagdhuber, Thomas [6 ]
Li, Xiaojun [1 ]
Wang, Mengjia [1 ,7 ]
Fan, Lei [8 ]
Moisy, Christophe [1 ]
机构
[1] INRAE, UMR1391 ISPA, Villenave Dornon, France
[2] Lab Etud Geophys & Oceanog Spatiales LEGOS, F-31400 Toulouse, France
[3] Geosci Environm Toulouse GET, F-31400 Toulouse, France
[4] Univ Montpellier, TETIS, IRSTEA, 500 Rue Francois Breton, F-34093 Montpellier 5, France
[5] Univ Toulouse, CESBIO, CNRS UPS IRD CNES, 18 Av Edouard Belin,Bpi 2801, F-31401 Toulouse 9, France
[6] DLR Microwaves & Radar Inst, German Aerosp Ctr DLR, D-82234 Oberpfaffenhofen, Wessling, Germany
[7] Beijing Normal Univ, Fac Geog Sci, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
[8] Nanjing Univ Informat Sci & Technol, Sch Geog Sci, Nanjing, Peoples R China
关键词
ASCAT; VOD; Water Cloud Model;
D O I
10.1109/IGARSS39084.2020.9324232
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:5011 / 5013
页数:3
相关论文
共 50 条
  • [1] ASCAT IB: A radar-based vegetation optical depth retrieved from the ASCAT scatterometer satellite
    Liu, Xiangzhuo
    Wigneron, Jean-Pierre
    Fan, Lei
    Frappart, Frederic
    Ciais, Philippe
    Baghdadi, Nicolas
    Zribi, Mehrez
    Jagdhuber, Thomas
    Li, Xiaojun
    Wang, Mengjia
    Bai, Xiaojing
    Moisy, Christophe
    [J]. REMOTE SENSING OF ENVIRONMENT, 2021, 264
  • [2] ASCAT and SMOS soil moisture retrievals: A Comparison over Europe and Northern Africa
    Fascetti, F.
    Pierdicca, N.
    Pulvirenti, L.
    Crapolicchio, R.
    [J]. 2014 13TH SPECIALIST MEETING ON MICROWAVE RADIOMETRY AND REMOTE SENSING OF THE ENVIRONMENT (MICRORAD), 2014, : 10 - 13
  • [3] Global Monitoring of the Vegetation Dynamics from the Vegetation Optical Depth (VOD): A Review
    Frappart, Frederic
    Wigneron, Jean-Pierre
    Li, Xiaojun
    Liu, Xiangzhuo
    Al-Yaari, Amen
    Fan, Lei
    Wang, Mengjia
    Moisy, Christophe
    Le Masson, Erwan
    Lafkih, Zacharie Aoulad
    Valle, Clement
    Ygorra, Bertrand
    Baghdadi, Nicolas
    [J]. REMOTE SENSING, 2020, 12 (18)
  • [4] AEROSOL OPTICAL DEPTH RETRIEVALS OVER THE KONZA PRAIRIE
    BRUEGGE, CJ
    HALTHORE, RN
    MARKHAM, B
    SPANNER, M
    WRIGLEY, R
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 1992, 97 (D17) : 18743 - 18758
  • [6] Error Propagation in Microwave Soil Moisture and Vegetation Optical Depth Retrievals
    Feldman, Andrew F.
    Chaparro, David
    Entekhabi, Dara
    [J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2021, 14 : 11311 - 11323
  • [7] Assimilation of vegetation optical depth retrievals from passive microwave radiometry
    Kumar, Sujay, V
    Holmes, Thomas R.
    Bindlish, Rajat
    de Jeu, Richard
    Peters-Lidard, Christa
    [J]. HYDROLOGY AND EARTH SYSTEM SCIENCES, 2020, 24 (07) : 3431 - 3450
  • [8] A comparison of ASCAT and SMOS soil moisture retrievals over Europe and Northern Africa from 2010 to 2013
    Fascetti, Fabio
    Pierdicca, Nazzareno
    Pulvirenti, Luca
    Crapolicchio, Raffaele
    Munoz-Sabater, J.
    [J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2016, 45 : 135 - 142
  • [9] QUANTIFYING AND REDUCING UNCERTAINTY IN MICROWAVE VEGETATION OPTICAL DEPTH AND SOIL MOISTURE RETRIEVALS
    Feldman, Andrew F.
    Chaparro, David
    Entekhabi, Dara
    [J]. 2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022), 2022, : 5586 - 5589
  • [10] Soil moisture and vegetation optical depth retrievals over heterogeneous scenes using LEWIS L-band radiometer
    Barree, M.
    Mialon, A.
    Pellarin, T.
    Parrens, M.
    Biron, R.
    Lemaitre, F.
    Gascoin, S.
    Kerr, Y. H.
    [J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2021, 102