A Value-Consistent Method for Downscaling SMAP Passive Soil Moisture With MODIS Products Using Self-Adaptive Window
文献类型：期刊论文
| 作者 | Wen Fengping1,3; Zhao Wei1,3 ; Wang Qunming2; Sanchez Nilda4
|
| 刊名 | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
 |
| 出版日期 | 2020 |
| 卷号 | 58期号:2页码:913-924 |
| 关键词 | Area-to-point kriging (ATPK) downscaling geographically weighted regression (GWR) Moderate Resolution Imaging Spectroradiometer (MODIS) self-adaptive window soil moisture (SM) Soil Moisture Active Passive (SMAP) |
| ISSN号 | 0196-2892 |
| DOI | 10.1109/TGRS.2019.2941696 |
| 产权排序 | 1 |
| 通讯作者 | Zhao, Wei(zhaow@imde.ac.cn) |
| 文献子类 | Article |
| 英文摘要 | Many remote sensing soil moisture (SM) products have been developed with global coverage. However, most of them are derived from passive microwave observations with very coarse resolution, greatly constraining the applications at regional scales. To increase the spatial resolution, a downscaling method is developed to downscale the 36-km Soil Moisture Active Passive L3 SM (SMAP SM) product to 1 km using the Moderate Resolution Imaging Spectroradiometer (MODIS) products (8-d land surface temperature, LST, and 16-d normalized difference vegetation index, NDVI). In this method, a linking model is first established between SM and LST and NDVI, and a self-adaptive window method is applied with the use of the geographically weighted regression (GWR) method to obtain an optimal local regression. Then, the uncertainty of the linking model, expressed as the regression residual, is redistributed to fine-resolution pixels to analyze the consistency before and after downscaling. The method was applied to the Iberian Peninsula to produce the 8-d downscaled SM product in 2016. The downscaled SM was validated with the in-situ SM network (REMEDHUS). A good agreement was found between the two data sets, with a correlation coefficient (R) of 0.87 and an unbiased root-mean-squared error (ubRMSE) of 0.043 m(3)/m(3) at a network level. At station level, the R is larger than 0.6 for all the REMEDHUS stations, with an ubRMSE smaller than 0.06 m(3)/m(3). The evaluation indicates the good potential of the proposed method in the SM downscaling, which achieves a robust consistency and provides rich spatial information while maintaining good accuracy. |
| 电子版国际标准刊号 | 1558-0644 |
| WOS关键词 | LAND-SURFACE TEMPERATURE ; REMOTE-SENSING APPROACH ; HIGH-RESOLUTION ; SPATIAL SCALES ; SMOS ; RETRIEVAL ; VALIDATION ; VEGETATION ; DISAGGREGATION ; VARIABILITY |
| 资助项目 | National Natural Science Foundation of China[41771409] ; 135 Strategic Program of the Institute of Mountain Hazards and Environment, Chinese Academy of Sciences (CAS)[SDS-135-1708] ; CAS Light of West China Program ; Youth Innovation Promotion Association CAS[2016333] ; Spanish Ministry of Science, Innovation and Universities, State Research Agency (AEI) ; European Regional Development Fund[ESP2017-89463-C3-3-R] |
| WOS研究方向 | Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000510710600013 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | National Natural Science Foundation of China ; 135 Strategic Program of the Institute of Mountain Hazards and Environment, Chinese Academy of Sciences (CAS) ; CAS Light of West China Program ; Youth Innovation Promotion Association CAS ; Spanish Ministry of Science, Innovation and Universities, State Research Agency (AEI) ; European Regional Development Fund |
| 源URL | [http://ir.imde.ac.cn/handle/131551/33873]  |
| 专题 | 成都山地灾害与环境研究所_数字山地与遥感应用中心 |
| 通讯作者 | Zhao Wei |
| 作者单位 | 1.Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China; 2.Tongji Univ, Coll Surveying & Geoinformat, Shanghai 200092, Peoples R China; 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China; 4.Univ Salamanca USAL, Inst Hispanoluso Invest Agr CIALE, Villamayor 37185, Spain |
| 推荐引用方式 GB/T 7714 | Wen Fengping,Zhao Wei,Wang Qunming,et al. A Value-Consistent Method for Downscaling SMAP Passive Soil Moisture With MODIS Products Using Self-Adaptive Window[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2020,58(2):913-924. |
| APA | Wen Fengping,Zhao Wei,Wang Qunming,&Sanchez Nilda.(2020).A Value-Consistent Method for Downscaling SMAP Passive Soil Moisture With MODIS Products Using Self-Adaptive Window.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,58(2),913-924. |
| MLA | Wen Fengping,et al."A Value-Consistent Method for Downscaling SMAP Passive Soil Moisture With MODIS Products Using Self-Adaptive Window".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 58.2(2020):913-924. |
入库方式： OAI收割
来源：成都山地灾害与环境研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。