Remote Sensing of Autumn Phenology by Including Surface Soil Temperature: Algorithm Development, Calibration, and Validation
文献类型：期刊论文
| 作者 | Yuan, Huanhuan1,4; Wang, Xiaoyue1,5; Jassal, Rachhpal S.3; Lu, Linlin2; Peng, Jie1,5; Wu, Chaoyang1,5 |
| 刊名 | IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
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| 出版日期 | 2022 |
| 卷号 | 15页码:6485-6494 |
| 关键词 | Earth Observing System Vegetation mapping Forestry Indexes Ecosystems Spatial resolution Temperature distribution Climate change end of growing season (EOS) forests soil temperature |
| ISSN号 | 1939-1404 |
| DOI | 10.1109/JSTARS.2022.3196494 |
| 通讯作者 | Wang, Xiaoyue(wangxy@igsnrr.ac.cn) |
| 英文摘要 | Phenology exercises a critical control on annual terrestrial ecosystem carbon uptake and indicates interaction between climate and vegetation. Solely vegetation index is insufficient to accurately detect the end of growing season (EOS). Soil temperature (T-s) plays a modulating role in soil microbial functioning and plant growth, while its impact on EOS remains largely unknown. Hence, we compared the potential between T-s and air temperature (T-a) as the indicators of EOS by using flux data from 14 deciduous broadleaf forests, 24 evergreen needleleaf forests (ENF), 7 mixed forests, and 23 nonforests over Northern temperate and boreal regions (30 degrees-60 degrees N) for 2001-2014. The widely used NDVI-based double-logistic approach failed to capture EOS variability for these ecosystems, and we derived a new EOS algorithm with a soil temperature-based scaler, which improved the EOS modeling for all plant functional types. We found that T-s at different depths showed varied abilities for EOS modeling, and T-s at the 0-10 cm depth provided the best estimates of EOS in terms of both numbers of significant sites and the correlation coefficients (R). Estimated EOS occurred earlier by on average 2.9 days than the current MODIS phenology product for similar to 56.5% pixels, especially for the ENF ecosystems (similar to 5.5 days). Our study suggests the usefulness of surface soil temperature for autumn leaf senescence phenology modeling, and that combination of environmental variables with the current modeling strategy can improve our understanding of autumn phenology with future climate change. |
| WOS关键词 | GREEN-UP DATE ; VEGETATION PHENOLOGY ; CLIMATE-CHANGE ; SPRING PHENOLOGY ; PLANT PHENOLOGY ; MODIS ; FOREST ; SATELLITE ; MODEL ; LATITUDE |
| 资助项目 | Strategic Priority Research Program of the Chinese Academy of Sciences[XDA26010202] ; National Natural Science Foundation of China[41901359] ; National Natural Science Foundation of China[42071329] ; Research on Vegetation Phenology Dynamic and Influence[GYZX210507] |
| WOS研究方向 | Engineering ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000843270500015 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | Strategic Priority Research Program of the Chinese Academy of Sciences ; National Natural Science Foundation of China ; Research on Vegetation Phenology Dynamic and Influence |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/166649]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Wang, Xiaoyue |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China 2.Chinese Acad Sci, Aerosp Informat Res Inst, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China 3.Univ British Columbia, Fac Land & Food Syst, Vancouver, BC V6T 1Z4, Canada 4.Minist Ecol & Environm, Nanjing Inst Environm Sci, Nanjing 210042, Peoples R China 5.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yuan, Huanhuan,Wang, Xiaoyue,Jassal, Rachhpal S.,et al. Remote Sensing of Autumn Phenology by Including Surface Soil Temperature: Algorithm Development, Calibration, and Validation[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2022,15:6485-6494. |
| APA | Yuan, Huanhuan,Wang, Xiaoyue,Jassal, Rachhpal S.,Lu, Linlin,Peng, Jie,&Wu, Chaoyang.(2022).Remote Sensing of Autumn Phenology by Including Surface Soil Temperature: Algorithm Development, Calibration, and Validation.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,15,6485-6494. |
| MLA | Yuan, Huanhuan,et al."Remote Sensing of Autumn Phenology by Including Surface Soil Temperature: Algorithm Development, Calibration, and Validation".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 15(2022):6485-6494. |
入库方式： OAI收割
来源：地理科学与资源研究所
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