Spatially Disaggregating Satellite Land Surface Temperature With a Nonlinear Model Across Agricultural Areas
文献类型：期刊论文
| 作者 | Liu, Kai2; Wang, Shudong3; Li, Xueke4; Wu, Taixia1,5 |
| 刊名 | JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
 |
| 出版日期 | 2019-11-06 |
| 页码 | 20 |
| ISSN号 | 2169-8953 |
| DOI | 10.1029/2019JG005227 |
| 通讯作者 | Wang, Shudong(wangsd@radi.ac.cn) |
| 英文摘要 | Accurate remotely sensed land surface temperature (LST) is a promising tool for predicting surface evapotranspiration (ET). The spatial resolution of commonly existing daily satellite products (i.e., Moderate Resolution Imaging Spectroradiometer [MODIS] LST) is similar to 1 km, which remains relatively low for used in estimating ET. This paper developed a model that disaggregates similar to 1-km spatial resolution MODIS-derived LST data to fine spatial resolutions of 250 m. The proposed model was achieved by using a spatial and temporal nonlinear strategy that contains the predictor variables of the Bowen ratio, the photochemical reflectance index, and the normalized difference vegetation index. The proposed disaggregation model was assessed mainly at two agriculture sites, including the Heihe River Basin in China and the Walnut Creek Watershed in the United States, during the growing seasons. The assessment procedure was conducted at both the field scale and the image scale in terms of disaggregated LST and ET. The statistical results demonstrated that the proposed model produced 250-m LST and ET that matched better with the observed values and achieved more accurate LST and ET relative to other reference ones. Our study shows that surface moisture status and vegetation physiological dynamic are important factors in improving the LST disaggregation over the agriculture region. The results of this study have the potential to improve water resource management and sustainable water use. |
| WOS关键词 | INDUCED CHLOROPHYLL FLUORESCENCE ; WATER-STRESS DETECTION ; VEGETATION INDEX ; DAILY EVAPOTRANSPIRATION ; EDDY COVARIANCE ; REGIONAL-SCALE ; SOIL-MOISTURE ; MODIS ; RESOLUTION ; ENERGY |
| 资助项目 | National Natural Science Foundation of China[41671362] ; Fundamental Research Funds for the Central Universities[2017B20514] ; Fundamental Research Funds for the Central Universities[2017B05114] |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology |
| 语种 | 英语 |
| WOS记录号 | WOS:000494590500001 |
| 出版者 | AMER GEOPHYSICAL UNION |
| 资助机构 | National Natural Science Foundation of China ; Fundamental Research Funds for the Central Universities |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/131978]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Wang, Shudong |
| 作者单位 | 1.Hohai Univ, Minist Educ, Key Lab Integrated Regulat & Resource Dev Shallow, Nanjing, Jiangsu, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R China 3.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing, Peoples R China 4.Univ Connecticut, Dept Geog, Storrs, CT USA 5.Hohai Univ, Earth Sci & Engn Sch, Nanjing, Jiangsu, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu, Kai,Wang, Shudong,Li, Xueke,et al. Spatially Disaggregating Satellite Land Surface Temperature With a Nonlinear Model Across Agricultural Areas[J]. JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES,2019:20. |
| APA | Liu, Kai,Wang, Shudong,Li, Xueke,&Wu, Taixia.(2019).Spatially Disaggregating Satellite Land Surface Temperature With a Nonlinear Model Across Agricultural Areas.JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES,20. |
| MLA | Liu, Kai,et al."Spatially Disaggregating Satellite Land Surface Temperature With a Nonlinear Model Across Agricultural Areas".JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES (2019):20. |
入库方式： OAI收割
来源：地理科学与资源研究所
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