气候变化领域集成服务门户(CCPortal): Soil moisture retrieval from remote sensing measurements: Current knowledge and directions for the future

CCPortal

DOI	10.1016/j.earscirev.2021.103673
	Soil moisture retrieval from remote sensing measurements: Current knowledge and directions for the future
	Li Z.-L.; Leng P.; Zhou C.; Chen K.-S.; Zhou F.-C.; Shang G.-F.
发表日期	2021
ISSN	00128252
卷号	218
英文摘要	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.
关键词	Microwave Optical/thermal Remote sensing Retrieval methods Soil moisture
英文关键词	algorithm; data set; electromagnetic method; land surface; microwave radiation; remote sensing; soil moisture; spatiotemporal analysis
语种	英语
来源期刊	Earth Science Reviews
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/204076
作者单位	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
推荐引用方式 GB/T 7714	Li Z.-L.,Leng P.,Zhou C.,et al. Soil moisture retrieval from remote sensing measurements: Current knowledge and directions for the future[J],2021,218.
APA	Li Z.-L.,Leng P.,Zhou C.,Chen K.-S.,Zhou F.-C.,&Shang G.-F..(2021).Soil moisture retrieval from remote sensing measurements: Current knowledge and directions for the future.Earth Science Reviews,218.
MLA	Li Z.-L.,et al."Soil moisture retrieval from remote sensing measurements: Current knowledge and directions for the future".Earth Science Reviews 218(2021).