A novel approach for Quasi-Global daily continuous surface soil moisture downscaling at 500-m resolution using CYGNSS observations
文献类型：期刊论文
| 作者 | Wang, Jundong1,6,7,8; Yang, Ting6,8; Zhu, Wanxue5; Li, Shiji4; Tang, Zixuan3,7; Wan, Wei2; Sun, Zhigang1,6,7,8 |
| 刊名 | INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
 |
| 出版日期 | 2026-02-01 |
| 卷号 | 146页码:105137 |
| 关键词 | Surface SoilMoisture (SSM) downscaling Cyclone Global Navigation Satellite System (CYGNSS) Previously-Observed Behavior Interpolation (POBI) algorithm OPtical TRApezoid Model (OPTRAM) Bayesian algorithm |
| ISSN号 | 1569-8432 |
| DOI | 10.1016/j.jag.2026.105137 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Accurate Surface Soil Moisture (SSM) with high spatiotemporal resolution is essential for hydrological modeling and agricultural applications. The Cyclone Global Navigation Satellite System (CYGNSS) provides quasi-global SSM with relatively high temporal resolution, while its coarse spatial resolution limits regional usability. This study proposed a novel approach to generate daily continuous quasi-global SSM at 500-m resolution by integrating CYGNSS observations with optical imagery, without relying on in-situ SSM inputs. The method includes: (1) reconstruction of daily Surface Reflectivity (SR) using the Previously-Observed Behavior Interpolation (POBI) algorithm and retrieval of 9-km SSM via a modified Reflectivity-Vegetation-Roughness (R-V-R) model; (2) constructing a direct relationship between SSM and optical reflectance using the enhanced OPtical TRApezoid Model (OPTRAM) as the foundational basis for subsequent downscaling process; (3) downscale coarse-resolution CYGNSS SSM using the Bayesian algorithm without requiring any in-situ SSM observations as inputs. The framework is applied over August 2019-2022 and validated against in-situ SSM from 194 International Soil Moisture Network (ISMN) sites across diverse climate and land cover conditions. Results show improved spatial detail while maintaining accuracy, with a mean unbiased root-mean-square error (ubRMSE) of 0.061 cm3/cm3 and a positive GDOWN value of 0.017, indicating effective SSM downscaling. In addition, the proposed method outperforms both Linear and Random Forest models while maintaining robust performance. Overall, it offers a scalable solution for generating high-resolution, daily SSM products directly from satellite data. |
| URL标识 | 查看原文 |
| WOS关键词 | OPTICAL TRAPEZOID MODEL |
| WOS研究方向 | Physical Geography ; Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:001681987000001 |
| 出版者 | ELSEVIER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/221018]  |
| 专题 | 禹城站农业生态系统研究中心_外文论文 |
| 通讯作者 | Yang, Ting; Sun, Zhigang |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China; 2.Peking Univ, Inst Remote Sensing & Geog Informat Syst, Sch Earth & Space Sci, Beijing 100871, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China; 4.China Agr Univ, Coll Land Sci & Technol, Beijing 100083, Peoples R China; 5.Guangdong Acad Sci, Inst Ecoenvironm & Soil Sci, Natl Reg Joint Engn Res Ctr Soil Pollut Control &, Guangdong Key Lab Integrated Agroenvironm Pollut C, Guangzhou 510650, Peoples R China; 6.Shandong Dongying Inst Geog Sci, Dongying 257000, Peoples R China; 7.Univ Chinese Acad Sci, Beijing 100049, Peoples R China; 8.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, CAS Engn Lab Yellow River Delta Modern Agr, Beijing 100101, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Wang, Jundong,Yang, Ting,Zhu, Wanxue,et al. A novel approach for Quasi-Global daily continuous surface soil moisture downscaling at 500-m resolution using CYGNSS observations[J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,2026,146:105137. |
| APA | Wang, Jundong.,Yang, Ting.,Zhu, Wanxue.,Li, Shiji.,Tang, Zixuan.,...&Sun, Zhigang.(2026).A novel approach for Quasi-Global daily continuous surface soil moisture downscaling at 500-m resolution using CYGNSS observations.INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,146,105137. |
| MLA | Wang, Jundong,et al."A novel approach for Quasi-Global daily continuous surface soil moisture downscaling at 500-m resolution using CYGNSS observations".INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 146(2026):105137. |
入库方式： OAI收割
来源：地理科学与资源研究所
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