Radar-optical fusion of Sentinel-1/2 for high-resolution NDVI reconstruction and landscape-driven carbon flux assessment in Kuala Selangor, Malaysia (2020-2024)
文献类型：期刊论文
| 作者 | Jia, Pengfei1,2; Shafri, Helmi Zulhaidi Mohd1,2; Yu, Shengrui1,2; Zheng, Zhi1,2; You, Shiqing3; Shariff, Abdul Rashid Mohamed4 |
| 刊名 | INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
 |
| 出版日期 | 2025-12-01 |
| 卷号 | 145页码:104966 |
| 关键词 | Cloud-resilient fusion network (CRFNet) NDVI reconstruction Radar-optical fusion Net ecosystem productivity Landscape metrics |
| ISSN号 | 1569-8432 |
| DOI | 10.1016/j.jag.2025.104966 |
| 产权排序 | 3 |
| 文献子类 | Article |
| 英文摘要 | Reliable quantification of carbon fluxes in humid tropical regions is constrained by persistent cloud cover, heterogeneous land mosaics, and the limited resolution of existing products. To address these challenges, this study developed a Cloud-Resilient Fusion Network (CRFNet) that integrates Sentinel-1 SAR backscatter with cloud-screened Sentinel-2 NDVI using a CNN-BiLSTM-multi-head attention architecture. The framework reconstructed 10 m NDVI time series in Kuala Selangor, Malaysia (2020-2024), achieving annual R2 above 0.82 and RMSE below 0.12, thereby improving temporal continuity under heavy cloud-rainfall interference. The reconstructed NDVI was used to drive a light-use-efficiency model for net ecosystem productivity (NEP) estimation, supported by temperature-based heterotrophic respiration. Results showed a 7.4 % decline in mean annual NEP across five years, with degraded mangroves and sloping croplands emerging as hotspots of sink-tosource transitions. Landscape analysis revealed strong structure-function coupling: stable forests and mangroves were characterized by large cohesive patches with largest patch index values above 40 % and edge density below 20 m ha-1, while croplands and degraded slopes exhibited higher patch numbers, reduced patch dominance, and greater edge complexity, which increased carbon source risk. By linking fine-scale NDVI reconstruction with process-based carbon modeling and landscape metrics, this study provides a transferable workflow for highresolution carbon flux monitoring and a robust scientific basis for carbon budget assessment, ecosystem management, and carbon-neutrality planning in tropical monsoon regions. |
| URL标识 | 查看原文 |
| WOS研究方向 | Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:001632415600001 |
| 出版者 | ELSEVIER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/219393]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Shafri, Helmi Zulhaidi Mohd |
| 作者单位 | 1.Univ Putra Malaysia UPM, Fac Engn, Dept Civil Engn, Serdang 43400, Selangor, Malaysia; 2.Univ Putra Malaysia UPM, Fac Engn, Geospatial Informat Sci Res Ctr GISRC, Serdang 43400, Selangor, Malaysia; 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; 4.Univ Putra Malaysia UPM, Fac Engn, Dept Agr & Biol Engn, Serdang 43400, Selangor, Malaysia |
| 推荐引用方式 GB/T 7714 | Jia, Pengfei,Shafri, Helmi Zulhaidi Mohd,Yu, Shengrui,et al. Radar-optical fusion of Sentinel-1/2 for high-resolution NDVI reconstruction and landscape-driven carbon flux assessment in Kuala Selangor, Malaysia (2020-2024)[J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,2025,145:104966. |
| APA | Jia, Pengfei,Shafri, Helmi Zulhaidi Mohd,Yu, Shengrui,Zheng, Zhi,You, Shiqing,&Shariff, Abdul Rashid Mohamed.(2025).Radar-optical fusion of Sentinel-1/2 for high-resolution NDVI reconstruction and landscape-driven carbon flux assessment in Kuala Selangor, Malaysia (2020-2024).INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,145,104966. |
| MLA | Jia, Pengfei,et al."Radar-optical fusion of Sentinel-1/2 for high-resolution NDVI reconstruction and landscape-driven carbon flux assessment in Kuala Selangor, Malaysia (2020-2024)".INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 145(2025):104966. |
入库方式： OAI收割
来源：地理科学与资源研究所
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