SMOS-IC data record of soil moisture and L-VOD: Historical development, applications and perspectives-Reference-Cited by-同舟云学术

SMOS-IC data record of soil moisture and L-VOD: Historical development, applications and perspectives

Published:2021-03 Issue: Volume:254 Page:112238
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Wigneron Jean-Pierre,Li Xiaojun,Frappart Frédéric,Fan Lei,Al-Yaari Amen,De Lannoy Gabrielle,Liu Xiangzhuo,Wang Mengjia,Le Masson Erwan,Moisy Christophe

Funder

Centre National d’Etudes Spatiales

China Scholarship Council

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference108 articles.

1. The global SMOS level 3 daily soil moisture and brightness temperature maps;Al Bitar;Earth Syst. Sci. Data,2017

2. Soil moisture analyses at ECMWF: evaluation using global ground-based in situ observations;Albergel;J. Hydrometeorol.,2012

3. Skill and global trend analysis of soil moisture from Reanalyses and microwave remote sensing;Albergel;J. Hydrometeorol.,2013

4. Global-scale evaluation of two satellite-based passive microwave soil moisture datasets (SMOS and AMSR-E) with respect to land data assimilation system estimates;Al-Yaari;Remote Sens. Environ.,2014

5. The AQUI soil moisture network for satellite microwave remote sensing validation in South-Western France;Al-Yaari;Remote Sens.,2018

Cited by 145 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. P-band radiometry for enhanced vegetation optical depth (VOD) and soil moisture retrieval in dense crop canopies;Remote Sensing of Environment;2024-11

2. 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;2024-11

3. Water deficit and storm disturbances co-regulate Amazon rainforest seasonality;Science Advances;2024-09-06

4. On the parsimony, interpretability and predictive capability of a physically−based model in the optical domain for estimating soil moisture content;Geoderma;2024-09

5. Satellite-based monitoring of China's above-ground biomass carbon sink from 2015 to 2021;Agricultural and Forest Meteorology;2024-09