Downscaling Solar-Induced Chlorophyll Fluorescence to a 0.05° Monthly Product Using AVHRR Data in East Asia (1995-2003)
文献类型：期刊论文
| 作者 | Jin, Yan1; Ge, Yong2,3; Fan, Haoyu1; Li, Zeshuo1; Jia, Yan1; Liu, Yaojie4; Liu, Hongyan1 |
| 刊名 | IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
 |
| 出版日期 | 2024 |
| 卷号 | 17页码:6379-6393 |
| 关键词 | AVHRR GOME high-resolution reconstruction random forest kriging (RFK) solar-induced chlorophyll fluorescence (SIF) |
| ISSN号 | 1939-1404 |
| DOI | 10.1109/JSTARS.2024.3369332 |
| 通讯作者 | Liu, Yaojie(liuyaojie@nuist.edu.cn) |
| 英文摘要 | Satellite-based solar-induced chlorophyll fluorescence (SIF) has emerged as a valuable tool for monitoring the photosynthetic activity of vegetation at both regional and global scales. Downscaling techniques offer the opportunity to utilize coarse-spatial-resolution SIF products for investigating carbon cycles and ecological processes at finer resolutions. However, the lack of pre-2000 downscaled products and the limited utilization of residual information in existing models pose challenges in fully harnessing the potential of SIF downscaling. In this study, we generated a new monthly SIF product, DSIFRFK*_EA0.05, at a resolution of 0.05(degrees) in East Asia from July 1995 to June 2003. Random forest kriging (RFK) was employed, incorporating GOME SIF, AVHRR data, ERA5 climate data, and using the optimal explanatory variables. Compared with other downscaled results, the produced DSIFRFK*_EA0.05 has higher accuracy and more accurate details of SIF distribution with the highest mean R-2 value of 0.83 and smallest root mean squared error value of 0.08 mW/m(2)/nm/sr. The DSIFRFK*_EA0.05 estimates showed a strong correlation with gross primary productivity data from eight flux sites (R-2 = 0.73), as well as high correlation coefficient values of 0.73, 0.88, and 0.89 with three other fine-resolution products. This study addresses the gap in statistical downscaling of SIF before 2000 and demonstrates the feasibility of utilizing AVHRR data for fine-resolution SIF prediction. Our developed product offers improved detail compared to the original GOME SIF, thereby enhancing the application of satellite SIF for understanding early carbon cycles and ecological processes at a finer resolution. |
| WOS关键词 | CONVOLUTIONAL NEURAL-NETWORK ; GOME-2 ; RETRIEVAL ; PHOTOSYNTHESIS ; INTERPOLATION ; SIF |
| 资助项目 | National Natural Science Foundation of China |
| WOS研究方向 | Engineering ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:001188473800019 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/204016]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Liu, Yaojie |
| 作者单位 | 1.Nanjing Univ Posts & Telecommun, Sch Internet Things, Nanjing 210023, Peoples R China 2.Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 3.Jiangxi Normal Univ, Key Lab Poyang Lake Wetland & Watershed Res, Minist Educ, Nanchang 330022, Peoples R China 4.Nanjing Univ Informat Sci & Technol, Sch Geog Sci, Nanjing 210023, Peoples R China |
| 推荐引用方式 GB/T 7714 | Jin, Yan,Ge, Yong,Fan, Haoyu,et al. Downscaling Solar-Induced Chlorophyll Fluorescence to a 0.05° Monthly Product Using AVHRR Data in East Asia (1995-2003)[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2024,17:6379-6393. |
| APA | Jin, Yan.,Ge, Yong.,Fan, Haoyu.,Li, Zeshuo.,Jia, Yan.,...&Liu, Hongyan.(2024).Downscaling Solar-Induced Chlorophyll Fluorescence to a 0.05° Monthly Product Using AVHRR Data in East Asia (1995-2003).IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,17,6379-6393. |
| MLA | Jin, Yan,et al."Downscaling Solar-Induced Chlorophyll Fluorescence to a 0.05° Monthly Product Using AVHRR Data in East Asia (1995-2003)".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 17(2024):6379-6393. |
入库方式： OAI收割
来源：地理科学与资源研究所
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