Soil moisture retrieval from remote sensing measurements: Current knowledge and directions for the future
文献类型：期刊论文
| 作者 | Li, Zhao-Liang3,4; Leng, Pei3; Zhou, Chenghu4; Chen, Kun-Shan2; Zhou, Fang-Cheng5; Shang, Guo-Fei1 |
| 刊名 | EARTH-SCIENCE REVIEWS
 |
| 出版日期 | 2021-07-01 |
| 卷号 | 218页码:24 |
| ISSN号 | 0012-8252 |
| 关键词 | Soil moisture Remote sensing Optical thermal Microwave Retrieval methods |
| DOI | 10.1016/j.earscirev.2021.103673 |
| 通讯作者 | Leng, Pei(lengpei@caas.cn) |
| 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. |
| WOS关键词 | VEGETATION OPTICAL DEPTH ; L-BAND RADIOMETER ; MICROWAVE DIELECTRIC BEHAVIOR ; THERMAL INERTIA ; WATER-CONTENT ; BRIGHTNESS TEMPERATURE ; AMSR-E ; SPECTRAL REFLECTANCE ; SURFACE-TEMPERATURE ; TRIANGLE METHOD |
| 资助项目 | National Natural Science Foundation of China[41921001] ; National Natural Science Foundation of China[41421001] ; National Natural Science Foundation of China[41601397] ; Second Tibetan Plateau Scientific Expedition and Research (STEP) program[2019QZKK0304] |
| WOS研究方向 | Geology |
| 语种 | 英语 |
| 出版者 | ELSEVIER |
| WOS记录号 | WOS:000670204100001 |
| 资助机构 | National Natural Science Foundation of China ; Second Tibetan Plateau Scientific Expedition and Research (STEP) program |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/163815]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 通讯作者 | Leng, Pei |
| 作者单位 | 1.Hebei GEO Univ, Sch Land Sci & Space Planning, Shijiazhuang 050031, Hebei, Peoples R China 2.Guilin Univ Technol, Coll Geomat & Geoinformat, Guilin 530001, Peoples R China 3.Chinese Acad Agr Sci, Minist Agr & Rural Affairs, Key Lab Agr Remote Sensing, Inst Agr Resources & Reg Planning, Beijing 100081, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 5.Natl Satellite Meteorol Ctr, Beijing 100081, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Zhao-Liang,Leng, Pei,Zhou, Chenghu,et al. Soil moisture retrieval from remote sensing measurements: Current knowledge and directions for the future[J]. EARTH-SCIENCE REVIEWS,2021,218:24. |
| APA | Li, Zhao-Liang,Leng, Pei,Zhou, Chenghu,Chen, Kun-Shan,Zhou, Fang-Cheng,&Shang, Guo-Fei.(2021).Soil moisture retrieval from remote sensing measurements: Current knowledge and directions for the future.EARTH-SCIENCE REVIEWS,218,24. |
| MLA | Li, Zhao-Liang,et al."Soil moisture retrieval from remote sensing measurements: Current knowledge and directions for the future".EARTH-SCIENCE REVIEWS 218(2021):24. |
入库方式： OAI收割
来源：地理科学与资源研究所
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