A novel AMSR2 retrieval algorithm for global C-band vegetation optical depth and soil moisture (AMSR2 IB): Parameters' calibration, evaluation and inter-comparison - Archive ouverte HAL
Journal Articles Remote Sensing of Environment Year : 2024

A novel AMSR2 retrieval algorithm for global C-band vegetation optical depth and soil moisture (AMSR2 IB): Parameters' calibration, evaluation and inter-comparison

Mengjia Wang
  • Function : Author
Philippe Ciais
  • Function : Author
Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette]
Frédéric Frappart
  • Function : Author
Shengli Tao
  • Function : Author
Lei Fan
  • Function : Author
Rui Sun
  • Function : Author
Xiaojun Li
  • Function : Author
Xiangzhuo Liu
  • Function : Author
Huan Wang
  • Function : Author
Jean-Pierre Wigneron
  • Function : Author

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Ocean, Atmosphere Continental interfaces, environment

Florence Aptel  : Connect in order to contact the contributor

https://hal.science/hal-04692111

Submitted on : Monday, September 9, 2024-3:16:07 PM

Last modification on : Tuesday, October 8, 2024-6:39:40 PM

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hal-04692111 , version 1 (09-09-2024)

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Mengjia Wang, Philippe Ciais, Frédéric Frappart, Shengli Tao, Lei Fan, et al.. A novel AMSR2 retrieval algorithm for global C-band vegetation optical depth and soil moisture (AMSR2 IB): Parameters' calibration, evaluation and inter-comparison. Remote Sensing of Environment, 2024, 313, pp.114370. ⟨10.1016/j.rse.2024.114370⟩. ⟨hal-04692111⟩

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