SPTS: Single Pixel in Time-Series Triangle Model for Estimating Surface Soil Moisture
文献类型：期刊论文
| 作者 | Ma, Tian2,3; Leng, Pei3; Gao, Yu-Xin2; Aliyu Kasim, Abba3; Guo, Xiaonan2; Zhang, Xia2; Shang, Guo-Fei2; Li, Zhao-Liang1,3 |
| 刊名 | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
 |
| 出版日期 | 2025 |
| 卷号 | 63页码:13 |
| 关键词 | Land surface temperature (LST) Landsat single pixel in time series (SPTS) soil moisture |
| ISSN号 | 0196-2892 |
| DOI | 10.1109/TGRS.2024.3520716 |
| 通讯作者 | Leng, Pei(lengpei@caas.cn) |
| 英文摘要 | Surface soil moisture (SSM) is essential for understanding the interactions between the atmosphere and Earth's surface. The rapid development of remote sensing technology in recent decades has provided feasible alternatives for SSM retrieval. The triangle model is one such method that uses the relationship between land surface temperature (LST) and vegetation index (VI) on a triangular space to estimate SSM. However, the traditional LST-VI triangle models inherently suffer from two major drawbacks. First, the subjective requirements for a sufficient number of pixels are characterized by a wide range of vegetation and SSM under uniform atmospheric conditions. Second, this is the need for date-to-date calibration. To overcome these limitations, the present study proposed a novel scheme of the feature space, the single pixel in time-series (SPTS) triangle model. The basic assumption of this feature space is that a given satellite pixel for cropland or grassland will undergo distinct vegetation cover and SSM status due to natural growth and soil moisture dynamics over a relatively long period. Unique triangles for 44 sites in two networks of the International Soil Moisture Network (ISMN)-the TxSon (US) dominated by grassland and REMEDHUS (Spain) dominated by cropland-were constructed based on Landsat data over a period of similar to 10 years (2013-2023). Compared to the traditional triangle model, the proposed model reveals enhanced skills for SSM retrieval, with a decrease in root-mean-square error (RMSE) by 13.5% (similar to 0.050 m(3)/m(3)) over the study sites. |
| WOS关键词 | ERS SCATTEROMETER ; SPACE ; RESOLUTION ; RETRIEVAL |
| 资助项目 | National Natural Science Foundation of China[41921001] ; National Natural Science Foundation of China[42271384] ; Central Public Interest Scientific Institution Basal Research Fund[1610132022010] |
| WOS研究方向 | Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:001389581000010 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | National Natural Science Foundation of China ; Central Public Interest Scientific Institution Basal Research Fund |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/212462]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Leng, Pei |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China 2.Hebei GEO Univ, Sch Land Resources & Urban Rural Planning, Shijiazhuang 050031, Peoples R China 3.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Key Lab Efficient Utilizat Arid & Semiarid Arable, Beijing 100081, Peoples R China |
| 推荐引用方式 GB/T 7714 | Ma, Tian,Leng, Pei,Gao, Yu-Xin,et al. SPTS: Single Pixel in Time-Series Triangle Model for Estimating Surface Soil Moisture[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2025,63:13. |
| APA | Ma, Tian.,Leng, Pei.,Gao, Yu-Xin.,Aliyu Kasim, Abba.,Guo, Xiaonan.,...&Li, Zhao-Liang.(2025).SPTS: Single Pixel in Time-Series Triangle Model for Estimating Surface Soil Moisture.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,63,13. |
| MLA | Ma, Tian,et al."SPTS: Single Pixel in Time-Series Triangle Model for Estimating Surface Soil Moisture".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 63(2025):13. |
入库方式： OAI收割
来源：地理科学与资源研究所
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