Enhanced Surface Soil Moisture Retrieval at High Spatial Resolution From the Integration of Satellite Observations and Soil Pedotransfer Functions
文献类型：期刊论文
| 作者 | Leng, Pei3; Li, Zhao-Liang3; Liao, Qian-Yu2; Geng, Yun-Jing3; Yan, Qiu-Yu3; Zhang, Xia1; Shang, Guo-Fei1 |
| 刊名 | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
 |
| 出版日期 | 2022 |
| 卷号 | 60页码:11 |
| ISSN号 | 0196-2892 |
| 关键词 | Soil Remote sensing Earth Artificial satellites Hydraulic systems Soil measurements Spatial resolution Soil hydraulic characteristics soil pedotransfer functions (PTF) surface soil moisture (SSM) trapezoid method |
| DOI | 10.1109/TGRS.2022.3222493 |
| 通讯作者 | Li, Zhao-Liang(lizhaoliang@caas.cn) |
| 英文摘要 | Trapezoidal configurations constituted by land surface temperature and fractional vegetation cover have been frequently used to estimate surface soil moisture (SSM). Determination of the SSM status over the trapezoidal dry and wet edges is required to decouple the volumetric SSM content from the trapezoid-derived M0 because of the coupling of volumetric SSM content and soil texture (i.e., soil moisture availability, $M_{0}$ ). Currently, soil hydraulic characteristics generated from soil pedotransfer functions (PTFs) provide a preferred solution for describing the SSM status over trapezoidal dry and wet edges; however, most PTFs have been developed from laboratory-based soil measurements that have not been fully integrated into remote sensing models for SSM retrieval. This study investigated a practical calibration approach for PTF-derived soil hydraulic characteristics to enhance SSM retrieval using these trapezoidal configurations. Three years of high-resolution SSM measurements were estimated using trapezoidal configurations with Landsat-8 data over a semiarid network in Spain. For the uncalibrated trapezoid, fair accuracy with a root-mean-square error (RMSE) of 0.062 $\text{m}<^>{3}/\text{m}<^>{3}$ and a bias of 0.040 $\text{m}<^>{3}/\text{m}<^>{3}$ was achieved when compared with in situ measurements. Furthermore, a practical PTF-calibration approach with local measurements was proposed and subsequently integrated into the trapezoid to obtain SSM values. Our results indicated enhanced SSM estimates with an RMSE of 0.050 $\text{m}<^>{3}/\text{m}<^>{3}$ and a bias of 0.012 $\text{m}<^>{3}/\text{m}<^>{3}$ with the calibrated PTF. Finally, we found that the calibrated trapezoid can eliminate overestimation and underestimation when the SSM was lower or higher, respectively, which occurred frequently for optical SSM retrievals. |
| WOS关键词 | TEXTURE ; TEMPERATURE ; CALIBRATION ; PARAMETERS |
| 资助项目 | Major S&T Project (Innovation 2030) of China[2021ZD0113704] ; National Natural Science Foundation of China[41921001] ; Central Public-Interest Scientific Institution Basal Research Fund[CAAS-ZDRW202107] ; Second Tibetan Plateau Scientific Expedition and Research(STEP) Program[2019QZKK0304] |
| WOS研究方向 | Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| WOS记录号 | WOS:000893634400011 |
| 资助机构 | Major S&T Project (Innovation 2030) of China ; National Natural Science Foundation of China ; Central Public-Interest Scientific Institution Basal Research Fund ; Second Tibetan Plateau Scientific Expedition and Research(STEP) Program |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/188338]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Li, Zhao-Liang |
| 作者单位 | 1.Hebei GEO Univ, Sch Land Resources & Urban Rural Planning, Shijiazhuang 050031, Hebei, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 3.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Beijing 100081, Peoples R China |
| 推荐引用方式 GB/T 7714 | Leng, Pei,Li, Zhao-Liang,Liao, Qian-Yu,et al. Enhanced Surface Soil Moisture Retrieval at High Spatial Resolution From the Integration of Satellite Observations and Soil Pedotransfer Functions[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2022,60:11. |
| APA | Leng, Pei.,Li, Zhao-Liang.,Liao, Qian-Yu.,Geng, Yun-Jing.,Yan, Qiu-Yu.,...&Shang, Guo-Fei.(2022).Enhanced Surface Soil Moisture Retrieval at High Spatial Resolution From the Integration of Satellite Observations and Soil Pedotransfer Functions.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,60,11. |
| MLA | Leng, Pei,et al."Enhanced Surface Soil Moisture Retrieval at High Spatial Resolution From the Integration of Satellite Observations and Soil Pedotransfer Functions".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 60(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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