Microwave Remote Sensing of Soil Moisture

Author:

Zeng Jiangyuan1ORCID,Peng Jian23ORCID,Zhao Wei4ORCID,Ma Chunfeng5ORCID,Ma Hongliang6ORCID

Affiliation:

1. State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China

2. Department of Remote Sensing, Helmholtz Centre for Environmental Research—UFZ, 04318 Leipzig, Germany

3. Remote Sensing Centre for Earth System Research—RSC4Earth, Leipzig University, 04103 Leipzig, Germany

4. Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610299, China

5. Heihe Remote Sensing Experimental Research Station, Key Laboratory of Remote Sensing of Gansu Province, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China

6. INRAE, UMR 1114 EMMAH, UMT CAPTE, Provence-Alpes-Côte d’Azur, F-84000 Avignon, France

Abstract

Soil moisture is an important component of the global terrestrial ecosystem and has been recognized as an Essential Climate Variable (ECV) by the Global Climate Observing System (GCOS) [...]

Funder

National Natural Science Foundation of China

Youth Innovation Promotion Association CAS

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Reference27 articles.

1. Mason, P.J., Zillman, J.W., Simmons, A., Lindstrom, E.J., Harrison, D.E., Dolman, H., Bojinski, S., Fischer, A., Latham, J., and Rasmussen, J. (2010). Implementation Plan for the Global Observing System for Climate in Support of the UNFCCC (2010 Update), Word Meteorological Organization (WMO).

2. High-resolution observations from space to address new applications in hydrology;Brocca;Innovation,2023

3. Reconstruction of a global 9 km, 8-day SMAP surface soil moisture dataset during 2015–2020 by spatiotemporal fusion;Yang;J. Remote Sens.,2022

4. Climate change: Strategies for mitigation and adaptation;Wang;Innov. Geosci.,2023

5. Improved SMAP dual-channel algorithm for the retrieval of soil moisture;Chaubell;IEEE Trans. Geosci. Remote Sens.,2020

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