First mapping of subsurface soil temperature profiles by integrating diurnal cycles of microwave and thermal infrared observations
文献类型：期刊论文
| 作者 | Chen, Dabiao10; Xue, Huazhu10; Zhao, Tianjie9; Xiong, Yuyang8; Li, Ning9; Zheng, Jingyao9; Cao, Yipeng9; Bai, Yu9; Qu, Songbo9; Yao, Ling6,7 |
| 刊名 | ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
 |
| 出版日期 | 2026-06-01 |
| 卷号 | 236页码:309-329 |
| 关键词 | Soiltemperature profile Diurnal soil thermal model Fengyun MODIS |
| ISSN号 | 0924-2716 |
| DOI | 10.1016/j.isprsjprs.2026.04.012 |
| 产权排序 | 4 |
| 文献子类 | Article |
| 英文摘要 | Soil temperature (ST) is a fundamental meteorological variable that governs energy, water, and carbon exchanges across the land-atmosphere interface, with profound implications for hydrological forecasting, ecological modeling, and climate change projections. Despite its critical importance, global subsurface soil temperature profiles remain poorly characterized by existing remote sensing capabilities, which are limited to instantaneous, single-depth retrievals with inadequate temporal sampling. This study proposes a Diurnal Soil Thermal (DST) model founded on the one-dimensional heat conduction equation, representing daytime temperature propagation as a harmonic wave and nighttime cooling as an exponential decay. Building upon this physical model, we propose the Diurnal Soil Thermal-Mapping Algorithm for Profiles (DST-MAP), which integrates land surface temperature observations from Fengyun-3 multi-frequency microwave radiometer and MODIS thermal infrared sensors to retrieve diurnal temperature cycle parameters. The damping depth characterizing vertical attenuation is constrained by soil texture and satellite-derived soil moisture using a physically based parameterization. DST-MAP generates continuous hourly soil temperature estimates at 5, 10, 20, and 30 cm depths. Validation against in situ measurements from 450 + stations demonstrate robust performance, with correlation coefficients exceeding 0.87 and root-mean-square errors (RMSE) of 3.5-4.5 K across all depths. Accuracy is highest in shallow layers, progressively attenuating with depth yet remaining reliable even at 30 cm. Triple Collocation Analysis (TCA) among DST-MAP, MERRA-2, and GLDAS indicates theoretical uncertainties below 4 K for most land areas, with DST-MAP exhibiting superior consistency in arid regions compared to MERRA-2 and comparable performance to GLDAS. This work establishes an observation-driven, physically grounded framework for hourly-resolved subsurface temperature profiling that captures the complete diurnal thermal evolution, providing essential support for the development of next-generation land surface hydrothermal coupling models and satellite payloads. |
| URL标识 | 查看原文 |
| WOS关键词 | LAND-SURFACE TEMPERATURE ; ACTIVE LAYER ; IN-SITU ; VALIDATION ; ALGORITHM ; FEEDBACK |
| WOS研究方向 | Physical Geography ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:001741191500001 |
| 出版者 | ELSEVIER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/221486]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 通讯作者 | Zhao, Tianjie |
| 作者单位 | 1.Chinese Acad Sci, Natl Space Sci Ctr, Beijing 100190, Peoples R China 2.Nanjing Univ, Int Inst Earth Syst Sci, Nanjing, Peoples R China; 3.Sun Yat sen Univ, Sch Geospatial Engn & Sci, Zhuhai 519082, Peoples R China; 4.Chinese Acad Sci, Inst Tibetan Plateau Res, Natl Tibetan Plateau Data Ctr, State Key Lab Tibetan Plateau Earth Syst Environm, Beijing 100101, Peoples R China; 5.Tongji Univ, Coll Surveying & Geoinformat, Shanghai 200092, Peoples R China; 6.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China; 7.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China; 8.Nanjing Univ, Sch Geog & Ocean Sci, Nanjing 210023, Jiangsu, Peoples R China; 9.Chinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing & Digital Earth, Beijing 100101, Peoples R China; 10.Henan Polytech Univ, Sch Surveying & Land Informat Engn, Jiaozuo 454000, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Chen, Dabiao,Xue, Huazhu,Zhao, Tianjie,et al. First mapping of subsurface soil temperature profiles by integrating diurnal cycles of microwave and thermal infrared observations[J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,2026,236:309-329. |
| APA | Chen, Dabiao.,Xue, Huazhu.,Zhao, Tianjie.,Xiong, Yuyang.,Li, Ning.,...&Shi, Jiancheng.(2026).First mapping of subsurface soil temperature profiles by integrating diurnal cycles of microwave and thermal infrared observations.ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,236,309-329. |
| MLA | Chen, Dabiao,et al."First mapping of subsurface soil temperature profiles by integrating diurnal cycles of microwave and thermal infrared observations".ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING 236(2026):309-329. |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。