Assessing the Potential of 10-m Resolution TVDI Based on Downscaled LST to Monitor Soil Moisture in Tang River Basin, China
文献类型：期刊论文
| 作者 | Cheng, Lin5; Liu, Suxia4,5; Mo, Xingguo4,5; Hu, Shi; Zhou, Haowei; Xie, Chaoshuai5; Nielsen, Sune3; Grosen, Henrik3; Bauer-Gottwein, Peter |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2023-02-01 |
| 卷号 | 15期号:3 |
| 关键词 | temperature vegetation dryness index land surface temperature data mining sharpener soil moisture unmanned aerial systems |
| ISSN号 | 2072-4292 |
| DOI | 10.3390/rs15030744 |
| 文献子类 | Article |
| 英文摘要 | Soil moisture is a key parameter in hydrological research and drought management. The inversion of soil moisture based on land surface temperature (LST) and NDVI triangular feature spaces has been widely used in various studies. Remote sensing provides regional LST data with coarse spatial resolutions which are insufficient for field scale (tens of meters). In this study, we bridged the data gap by adopting a Data Mining Sharpener algorithm to downscale MODIS thermal data with Vis-NIR imagery from Sentinel-2. To evaluate the downscaling algorithm, an unmanned aerial system (UAS) equipped with a thermal sensor was used to capture the ultra-fine resolution LST at three sites in the Tang River Basin in China. The obtained fine-resolution LST data were then used to calculate the Temperature Vegetation Dryness Index (TVDI) for soil moisture monitoring. Results indicated that downscaled LST data from satellites showed spatial patterns similar to UAS-measured LST, although discrepancies still existed. Based on the fine-resolution LST data, a 10-m resolution TVDI map was generated. Significant negative correlations were observed between the TVDI and in-situ soil moisture measurements (Pearson's r of -0.67 and -0.71). Overall, the fine-resolution TVDI derived from the downscaled LST has a high potential for capturing spatial soil moisture variation. |
| WOS关键词 | LAND-SURFACE TEMPERATURE ; THERMAL INERTIA ; EVAPOTRANSPIRATION ; SENTINEL-2 ; DISAGGREGATION ; PRODUCTS ; IMAGERY ; SMAP |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| WOS记录号 | WOS:000935696900001 |
| 出版者 | MDPI |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/190344]  |
| 专题 | 陆地水循环及地表过程院重点实验室_外文论文 |
| 作者单位 | 1.Tech Univ Denmark, Dept Environm & Resource Engn, DK-2800 Lyngby, Denmark 2.Drone Syst, DK-8210 Aarhus, Denmark 3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100190, Peoples R China 4.Univ Chinese Acad Sci, Sino Danish Coll, Beijing 100049, Peoples R China 5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Cheng, Lin,Liu, Suxia,Mo, Xingguo,et al. Assessing the Potential of 10-m Resolution TVDI Based on Downscaled LST to Monitor Soil Moisture in Tang River Basin, China[J]. REMOTE SENSING,2023,15(3). |
| APA | Cheng, Lin.,Liu, Suxia.,Mo, Xingguo.,Hu, Shi.,Zhou, Haowei.,...&Bauer-Gottwein, Peter.(2023).Assessing the Potential of 10-m Resolution TVDI Based on Downscaled LST to Monitor Soil Moisture in Tang River Basin, China.REMOTE SENSING,15(3). |
| MLA | Cheng, Lin,et al."Assessing the Potential of 10-m Resolution TVDI Based on Downscaled LST to Monitor Soil Moisture in Tang River Basin, China".REMOTE SENSING 15.3(2023). |
入库方式： OAI收割
来源：地理科学与资源研究所
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