Empirical Estimation of Near-Surface Air Temperature in China from MODIS LST Data by Considering Physiographic Features
文献类型：期刊论文
| 作者 | Lin, Xiaohui3; Zhang, Wen2; Huang, Yao; Sun, Wenjuan; Han, Pengfei2,3; Yu, Lingfei; Sun, Feifei |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2016 |
| 卷号 | 8期号:8 |
| 关键词 | land surface temperature air temperature complex topography MODIS |
| DOI | 10.3390/rs8080629 |
| 文献子类 | Article |
| 英文摘要 | Spatially and temporally resolved observations of near-surface air temperatures (Ta, 1.5-2 m above ground) are essential for understanding hydrothermal circulation at the land-atmosphere interface. However, the uneven spatial distribution of meteorological stations may not effectively capture the true nature of the overall climate pattern. Several studies have attempted to retrieve spatially continuous Ta from remotely sensed and continuously monitored Land Surface Temperature (LST). However, the topographical control of the relationship between LST and Ta in regions with complex topographies and highly variable weather station densities is poorly understood. The aim of this study is to improve the accuracy of Ta estimations from the Moderate Resolution Imaging Spectroradiometer (MODIS) LST via parameterization of the physiographic variables according to the terrain relief. The performances of both Terra and Aqua MODIS LST in estimating Ta have been explored in China. The results indicated that the best agreement was found between Terra nighttime LST (LSTmodn) and the observed Ta in China. In flat terrain areas, the LSTmodn product is significantly linearly correlated with Ta (R-2 > 0.80), while, in mountainous areas, the LSTmodn-Ta relationship differed significantly from simple linear correlation. By taking the physiographic features into account, including the seasonal vegetation cover (NDVI), the altitudinal gradient (RDLS), and the ambient absolute humidity (AH), the accuracy of the estimation was substantially improved. The study results indicated that the relevant environmental factors must be considered when interpreting the spatiotemporal variation of the surface energy flux over complex topography. |
| 学科主题 | Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology |
| 电子版国际标准刊号 | 2072-4292 |
| 出版地 | BASEL |
| WOS关键词 | ESTIMATING DAILY MAXIMUM ; TIBETAN PLATEAU ; ECOHYDROLOGICAL CONTROLS ; VAPOR-PRESSURE ; ENERGY BUDGET ; LAPSE RATES ; WATER-VAPOR ; LAND-COVER ; MINIMUM ; VARIABILITY |
| WOS研究方向 | Science Citation Index Expanded (SCI-EXPANDED) |
| 语种 | 英语 |
| 出版者 | MDPI |
| WOS记录号 | WOS:000382458700016 |
| 资助机构 | National Basic Research Program of China (973 Program)National Basic Research Program of China [2014CB954303] ; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [41321064, 41573069] |
| 源URL | [http://ir.ibcas.ac.cn/handle/2S10CLM1/24446]  |
| 专题 | 植被与环境变化国家重点实验室 |
| 作者单位 | 1.Chinese Acad Sci, Inst Atmospher Phys, LAPC, Beijing 100029, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China |
| 推荐引用方式 GB/T 7714 | Lin, Xiaohui,Zhang, Wen,Huang, Yao,et al. Empirical Estimation of Near-Surface Air Temperature in China from MODIS LST Data by Considering Physiographic Features[J]. REMOTE SENSING,2016,8(8). |
| APA | Lin, Xiaohui.,Zhang, Wen.,Huang, Yao.,Sun, Wenjuan.,Han, Pengfei.,...&Sun, Feifei.(2016).Empirical Estimation of Near-Surface Air Temperature in China from MODIS LST Data by Considering Physiographic Features.REMOTE SENSING,8(8). |
| MLA | Lin, Xiaohui,et al."Empirical Estimation of Near-Surface Air Temperature in China from MODIS LST Data by Considering Physiographic Features".REMOTE SENSING 8.8(2016). |
入库方式： OAI收割
来源：植物研究所
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