globalchange  > 气候变化与战略
DOI: 10.1016/j.earscirev.2021.103673
Title:
Soil moisture retrieval from remote sensing measurements: Current knowledge and directions for the future
Author: Li Z.-L.; Leng P.; Zhou C.; Chen K.-S.; Zhou F.-C.; Shang G.-F.
Source Publication: Earth Science Reviews
ISSN: 00128252
Publishing Year: 2021
Volume: 218
Language: 英语
keyword in Chinese: Microwave ; Optical/thermal ; Remote sensing ; Retrieval methods ; Soil moisture
Keyword: algorithm ; data set ; electromagnetic method ; land surface ; microwave radiation ; remote sensing ; soil moisture ; spatiotemporal analysis
English Abstract: Soil moisture (SM) is an essential parameter for understanding the interactions and feedbacks between the atmosphere and the Earth's surface through energy and water cycles. Knowledge of the spatiotemporal distribution of land surface SM has long been a challenge in the remote sensing community. Over the past 50 years, electromagnetic spectra, from the optical/thermal to the microwave regions, have been intensively investigated for SM retrieval, providing a number of algorithms, models and products that are available for actual applications nowadays. However, certain issues with respect to retrieval accuracy, spatiotemporal resolution, and data consistency exist and remain unsolved between the state-of-the-art of SM retrieval and readily-used SM datasets for various domains at field, regional/watershed or global scales. In particular, several new theories and algorithms for SM retrieval proposed in recent years have not been well documented in previous articles. Therefore, a critical review of the established and emerging SM retrieval methods with respect to their advantages and disadvantages is necessary. In present study, future directions for each method are highlighted to address the scientific challenges of SM retrieval in the new era of rapid data expansion. © 2021 Elsevier B.V.
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Document Type: 期刊论文
Identifier: http://119.78.100.158/handle/2HF3EXSE/166445
Appears in Collections:气候变化与战略

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Affiliation: Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture and Rural Affairs/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, 100081, China; State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; College of Geomatics and Geoinformation, Guilin University of Technology, Guilin, 530001, China; National Satellite Meteorological Center, Beijing, 100081, China; School of Land Science and Space Planning, Hebei GEO University, Shijiazhuang, 050031, China

Recommended Citation:
Li Z.-L.,Leng P.,Zhou C.,et al. Soil moisture retrieval from remote sensing measurements: Current knowledge and directions for the future[J]. Earth Science Reviews,2021-01-01,218
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