A high spatiotemporal resolution land surface temperature research over Qinghai-Tibet Plateau for 2000-2020
文献类型：期刊论文
| 作者 | Chen, Shaohui2; Zhang, Jianglei1,2 |
| 刊名 | PHYSICS AND CHEMISTRY OF THE EARTH
 |
| 出版日期 | 2022-12-01 |
| 卷号 | 128页码:11 |
| ISSN号 | 1474-7065 |
| 关键词 | Qinghai-tibet plateau Land surface temperature Spatiotemporal fusion GEE cloud Platform |
| DOI | 10.1016/j.pce.2022.103206 |
| 通讯作者 | Chen, Shaohui(chensh@igsnrr.ac.cn) |
| 英文摘要 | As ???the third pole of the world???, the land surface temperature (LST) of the Qinghai-Tibet Plateau (QTP) has a profound impact on the climate of central Asia and even the whole earth. Studying the impact of the LST over QTP depends on long time and high spatiotemporal resolution LST dataset. However, the unavailability of such dataset has hindered LST-related researches: one of the most important reasons is that traditional spatiotemporal fusion methods such as Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM) have heavy computation demands to process big data. To fill this gap, this paper outlines one new cloud spatiotemporal fusion method by combining Google Earth Engine and STARFM to develop for the first time a 3-hourly 30 m LST dataset over the QTP from 2000 to 2020 through fusing Landsat and GLDAS-2.1 derived LST data. The outlined method first fuses the LSTs obtained from Landsat and GLDAS-2.1 data within one year to synthesize the LST of the entire QTP on one base time, and then the base time LST is spatiotemporally fused with GLDAS-2.1 LSTs on the base and prediction times to derive the 3-hourly 30 m QTP???s LSTs on prediction times. The outlined method provides a promising technical scheme for batch processing big data in combining traditional spatiotemporal fusion methods with cloud computing platforms. Derived LST dataset is validated by station observations at multiple time and spatial scales to have high accuracy, which provides a guarantee for analyzing water and heat exchange and climate change over the QTP. |
| WOS关键词 | REFLECTANCE ; FUSION |
| WOS研究方向 | Geology ; Meteorology & Atmospheric Sciences ; Water Resources |
| 语种 | 英语 |
| 出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
| WOS记录号 | WOS:000859830300004 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/185290]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Chen, Shaohui |
| 作者单位 | 1.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Key Lab Water Cycle & Related Land Surface Proc, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Chen, Shaohui,Zhang, Jianglei. A high spatiotemporal resolution land surface temperature research over Qinghai-Tibet Plateau for 2000-2020[J]. PHYSICS AND CHEMISTRY OF THE EARTH,2022,128:11. |
| APA | Chen, Shaohui,&Zhang, Jianglei.(2022).A high spatiotemporal resolution land surface temperature research over Qinghai-Tibet Plateau for 2000-2020.PHYSICS AND CHEMISTRY OF THE EARTH,128,11. |
| MLA | Chen, Shaohui,et al."A high spatiotemporal resolution land surface temperature research over Qinghai-Tibet Plateau for 2000-2020".PHYSICS AND CHEMISTRY OF THE EARTH 128(2022):11. |
入库方式： OAI收割
来源：地理科学与资源研究所
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