COMPARATIVE ANALYSIS OF TWO VEGETATION INDICES FOR BACKSCATTER SIMULATION AND SOIL MOISTURE RETRIEVAL
文献类型：期刊论文
| 作者 | Hu, Jiliu2,3; Fan, Dong2,3,4; Tang, Bo-Hui2,3,4,5; Fu, Li2,3; Chen, Quan2,3; Yao, Panpan7; Luo, Fuli1; Zhang, Zhen2,3,4; Chen, Junyi2,3,4; Ge, Zhongxi2,3,4 |
| 刊名 | IGARSS 2025-2025 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM
 |
| 出版日期 | 2025 |
| 卷号 | N/A页码:2491-2494 |
| 关键词 | Soil moisture backscatter radar vegetation index optical vegetation index |
| ISSN号 | 2153-6996 |
| DOI | 10.1109/IGARSS55030.2025.11243518 |
| 产权排序 | 4 |
| 文献子类 | Proceedings Paper |
| 英文摘要 | Vegetation scattering is one of the key factors affecting the accuracy of soil moisture retrieval using active microwave remote sensing. Currently,the parameters used to represent vegetation scattering in forward model are primarily classified into optical vegetation indices (OVIs) and radar vegetation indices (RVIs). However, the comparative effectiveness of these two types of indices for backscatter simulation and soil moisture retrieval has not been thoroughly investigated. In this study, we analyze the impact of OVI and RVI on backscattering simulation and soil moisture retrieval using Mironov dielectric constant model, Oh surface roughness model and the water cloud model. The analysis is based on Sentinel-1 C-band data and in-situ soil moisture measurements from the Zamarron site in Spanish. The results indicate that the root mean square error (RMSE) of the backscatter simulation is 1.61dB for OVI and 1.25 dB for RVI. In terms of soil moisture retrieval accuracy, the RMSE is 0.049m(3)/m(3) for OVI and 0.047 m(3)/m(3) for RVI. |
| URL标识 | 查看原文 |
| WOS关键词 | MODEL |
| WOS研究方向 | Physical Geography ; Geology ; Instruments & Instrumentation ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:001697407700526 |
| 出版者 | IEEE |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/221254]  |
| 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 | Fan, Dong |
| 作者单位 | 1.Southwest Forestry Univ, Civil Engn, Kunming 650224, Yunnan, Peoples R China; 2.Kunming Univ Sci & Technol, Fac Land Resources Engn, Kunming 650093, Yunnan, Peoples R China; 3.Yunnan Key Lab Quantitat Remote Sensing, Kunming 650093, Yunnan, Peoples R China; 4.Yunnan Int Joint Lab Integrated Sky Ground Intell, Kunming 650093, Yunnan, Peoples R China; 5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China; 6.Natl Geomat Ctr China, Beijing 100830, Peoples R China 7.North China Univ Water Resources & Elect Power, Coll Surveying & Geoinformat, Zhengzhou 450046, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Hu, Jiliu,Fan, Dong,Tang, Bo-Hui,et al. COMPARATIVE ANALYSIS OF TWO VEGETATION INDICES FOR BACKSCATTER SIMULATION AND SOIL MOISTURE RETRIEVAL[J]. IGARSS 2025-2025 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM,2025,N/A:2491-2494. |
| APA | Hu, Jiliu.,Fan, Dong.,Tang, Bo-Hui.,Fu, Li.,Chen, Quan.,...&Wang, Zhen.(2025).COMPARATIVE ANALYSIS OF TWO VEGETATION INDICES FOR BACKSCATTER SIMULATION AND SOIL MOISTURE RETRIEVAL.IGARSS 2025-2025 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM,N/A,2491-2494. |
| MLA | Hu, Jiliu,et al."COMPARATIVE ANALYSIS OF TWO VEGETATION INDICES FOR BACKSCATTER SIMULATION AND SOIL MOISTURE RETRIEVAL".IGARSS 2025-2025 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM N/A(2025):2491-2494. |
入库方式： OAI收割
来源：地理科学与资源研究所
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