The Merit of Estimating High-Resolution Soil Moisture Using Combined Optical, Thermal, and Microwave Data
文献类型：期刊论文
| 作者 | Li, Ji; Leng, Guoyong; Peng, Jian |
| 刊名 | IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
 |
| 出版日期 | 2023 |
| 卷号 | 20页码:2503405 |
| ISSN号 | 1545-598X |
| 关键词 | Land surface temperature Microwave theory and techniques microwave remote sensing soil moisture (SM) triple collocation (TC) vegetation index |
| DOI | 10.1109/LGRS.2023.3291761 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Tremendous progress has been made in estimating soil moisture (SM) from satellite remote sensing data. Several global-scale coarse-resolution products have also been generated and released for various applications in the Earth system. However, high-resolution SM estimation is still in its infancy. Currently, two main methods are used for this purpose: downscaling approaches and direct retrieval from microwave and optical/thermal data. Several studies have attempted to comprehensively evaluate the performance of these approaches and have found that each method has its own strengths and weaknesses, with no single method outperforming the others. In this study, we aim to investigate the advantages of integrating optical, thermal, and microwave data to estimate SM by leveraging an intensive SM network and triple collocation (TC) method. First, we determined the best-performing coarse-resolution microwave SM product through the TC approach. Second, we generated 1-km SM using a downscaling approach based on land surface temperature and vegetation index, utilizing the best-performing SMAP L3 descending product. Third, we evaluated the high-resolution downscaled SM, Sentinel 1 SM, and SMAP/Sentinel 1 combined SM products using SM measurements from the REMEDHUS station network, ETOPO1 elevation, Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) precipitation, and the European Space Agency (ESA) CCI land cover map. Finally, we investigated and demonstrated the advantages of merging these products through point-scale evaluation and large-scale spatial pattern comparison. |
| WOS关键词 | PRODUCT |
| WOS研究方向 | Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| WOS记录号 | WOS:001041986700012 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/194619]  |
| 专题 | 陆地水循环及地表过程院重点实验室_外文论文 |
| 作者单位 | 1.Leipzig University 2.Chinese Academy of Sciences 3.Institute of Geographic Sciences & Natural Resources Research, CAS 4.Helmholtz Association 5.Helmholtz Center for Environmental Research (UFZ) |
| 推荐引用方式 GB/T 7714 | Li, Ji,Leng, Guoyong,Peng, Jian. The Merit of Estimating High-Resolution Soil Moisture Using Combined Optical, Thermal, and Microwave Data[J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,2023,20:2503405. |
| APA | Li, Ji,Leng, Guoyong,&Peng, Jian.(2023).The Merit of Estimating High-Resolution Soil Moisture Using Combined Optical, Thermal, and Microwave Data.IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,20,2503405. |
| MLA | Li, Ji,et al."The Merit of Estimating High-Resolution Soil Moisture Using Combined Optical, Thermal, and Microwave Data".IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 20(2023):2503405. |
入库方式： OAI收割
来源：地理科学与资源研究所
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