Generating daily high spatial land surface temperatures by combining ASTER and MODIS land surface temperature products for environmental process monitoring
文献类型：期刊论文
| 作者 | Wu, Mingquan1; Li, Hua1; Huang, Wenjiang1; Niu, Zheng1; Wang, Changyao1 |
| 刊名 | ENVIRONMENTAL SCIENCE-PROCESSES & IMPACTS
 |
| 出版日期 | 2015 |
| 卷号 | 17期号:8 |
| 通讯作者 | Wu, MQ (reprint author), Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing, Peoples R China. |
| 英文摘要 | There is a shortage of daily high spatial land surface temperature (LST) data for use in high spatial and temporal resolution environmental process monitoring. To address this shortage, this work used the Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM), Enhanced Spatial and Temporal Adaptive Reflectance Fusion Model (ESTARFM), and the Spatial and Temporal Data Fusion Approach (STDFA) to estimate high spatial and temporal resolution LST by combining Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) LST and Moderate Resolution Imaging Spectroradiometer (MODIS) LST products. The actual ASTER LST products were used to evaluate the precision of the combined LST images using the correlation analysis method. This method was tested and validated in study areas located in Gansu Province, China. The results show that all the models can generate daily synthetic LST image with a high correlation coefficient (r) of 0.92 between the synthetic image and the actual ASTER LST observations. The ESTARFM has the best performance, followed by the STDFA and the STARFM. Those models had better performance in desert areas than in cropland. The STDFA had better noise immunity than the other two models. |
| 研究领域[WOS] | Chemistry, Analytical ; Environmental Sciences |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000359127800006 |
| 源URL | [http://ir.ceode.ac.cn/handle/183411/38307]  |
| 专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
| 作者单位 | 1.[Wu, Mingquan 2.Li, Hua 3.Niu, Zheng 4.Wang, Changyao] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing, Peoples R China 5.[Huang, Wenjiang] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Lab Digital Earth Sci, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wu, Mingquan,Li, Hua,Huang, Wenjiang,et al. Generating daily high spatial land surface temperatures by combining ASTER and MODIS land surface temperature products for environmental process monitoring[J]. ENVIRONMENTAL SCIENCE-PROCESSES & IMPACTS,2015,17(8). |
| APA | Wu, Mingquan,Li, Hua,Huang, Wenjiang,Niu, Zheng,&Wang, Changyao.(2015).Generating daily high spatial land surface temperatures by combining ASTER and MODIS land surface temperature products for environmental process monitoring.ENVIRONMENTAL SCIENCE-PROCESSES & IMPACTS,17(8). |
| MLA | Wu, Mingquan,et al."Generating daily high spatial land surface temperatures by combining ASTER and MODIS land surface temperature products for environmental process monitoring".ENVIRONMENTAL SCIENCE-PROCESSES & IMPACTS 17.8(2015). |
入库方式： OAI收割
来源：遥感与数字地球研究所
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