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Monitoring tree-crown scale autumn leaf phenology in a temperate forest with an integration of PlanetScope and drone remote sensing observations | |
Wu, Shengbiao; Wang, Jing; Yan, Zhengbing; Song, Guangqin; Chen, Yang; Ma, Qin1; Deng, Meifeng1; Wu, Yuntao1; Zhao, Yingyi; Guo, Zhengfei; Yuan, Zuoqiang2; Dai, Guanhua2; Xu, Xiangtao3; Yang, Xi4; Su, Yanjun1; Liu, Lingli1,5; Wu, Jin6 | |
2021 | |
发表期刊 | ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING |
ISSN | 0924-2716 |
卷号 | 171页码:36-48 |
摘要 | In temperate forests, autumn leaf phenology signals the end of leaf growing season and shows large variability across tree-crowns, which importantly mediates photosynthetic seasonality, hydrological regulation, and nutrient cycling of forest ecosystems. However, critical challenges remain with the monitoring of autumn leaf phenology at the tree-crown scale due to the lack of spatially explicit information for individual tree-crowns and high (spatial and temporal) resolution observations with nadir view. Recent availability of the PlanetScope constellation with a 3 m spatial resolution and near-daily nadir view coverage might help address these observational challenges, but remains underexplored. Here we developed an integration of PlanetScope with drone observations for improved monitoring of crown-scale autumn leaf phenology in a temperate forest in Northeast China. This integration includes: 1) visual identification of individual tree-crowns (and species) from drone observations; 2) extraction of time series of PlanetScope vegetation indices (VIs) for each identified tree-crown; 3) derivation of three metrics of autumn leaf phenology from the extracted VI time series, including the start of fall (SOF), middle of fall (MOF), and end of fall (EOF); and 4) accuracy assessments of the PlanetScope-derived phenology metrics with reference from local phenocams. Our results show that (1) the PlanetScopedrone integration captures large inter-crown phenological variations, with a range of 28 days, 25 days, and 30 days for SOF, MOF, and EOF, respectively, (2) the extracted crown-level phenology metrics strongly agree with those derived from local phenocams, with a root-mean-square-error (RMSE) of 4.1 days, 3.0 days and 5.4 days for SOF, MOF, and EOF, respectively, and (3) PlanetScope maps large variations in autumn leaf phenology over the entire forest landscape with spatially explicit information. These results demonstrate the ability of our proposed method in monitoring the large spatial heterogeneity of crown-scale autumn leaf phenology in the temperate forest, suggesting the potential of using high-resolution satellites to advance crown-scale phenology studies over large geographical areas. |
关键词 | Multi-scale remote sensing Phenocam High-resolution satellite MODIS Individual tree-crown Leaf phenology |
学科领域 | Geography, Physical ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology |
DOI | 10.1016/j.isprsjprs.2020.10.017 |
收录类别 | SCI |
语种 | 英语 |
WOS关键词 | LAND-SURFACE PHENOLOGY ; UNMANNED AERIAL VEHICLE ; CLIMATE-CHANGE ; TIME-SERIES ; SPRING PHENOLOGY ; PLANT PHENOLOGY ; SATELLITE DATA ; CANOPY ; RESOLUTION ; RESPONSES |
WOS研究方向 | Science Citation Index Expanded (SCI-EXPANDED) |
WOS记录号 | WOS:000604406500003 |
出版者 | ELSEVIER |
文献子类 | Article |
出版地 | AMSTERDAM |
EISSN | 1872-8235 |
资助机构 | HKU research startup fund, Seed Fund for Basic Research [201905159005] ; NSFC-Excellent Young Scholar Grant [31922090] ; 42nd Round URC PDF award ; Innovation and Technology Fund of the HKSAR, China ; Strategic Priority Research Program of the Chinese Academy of Science [XDA23080301] ; National Science Foundation through Division of Atmospheric and Geospace Sciences [1837891] ; National Science Foundation through Division of Integrative Organismal Systems [2005574] |
作者邮箱 | jinwu@hku.hk |
作品OA属性 | Bronze |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ibcas.ac.cn/handle/2S10CLM1/26437 |
专题 | 植被与环境变化国家重点实验室 |
作者单位 | 1.Univ Hong Kong, Sch Biol Sci, Pokfulam, Hong Kong, Peoples R China 2.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing, Peoples R China 3.Chinese Acad Sci, Inst Appl Ecol, Key Lab Forest Ecol & Management, Shenyang 110164, Peoples R China 4.Cornell Univ, Dept Ecol & Evolutionary Biol, Ithaca, NY USA 5.Univ Virginia, Dept Environm Sci, 291 McCormick Rd, Charlottesville, VA USA 6.Univ Chinese Acad Sci, Yuquan Rd, Beijing, Peoples R China 7.Chinese Univ Hong Kong, State Key Lab Agrobiotechnol, Hong Kong, Peoples R China |
推荐引用方式 GB/T 7714 | Wu, Shengbiao,Wang, Jing,Yan, Zhengbing,et al. Monitoring tree-crown scale autumn leaf phenology in a temperate forest with an integration of PlanetScope and drone remote sensing observations[J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,2021,171:36-48. |
APA | Wu, Shengbiao.,Wang, Jing.,Yan, Zhengbing.,Song, Guangqin.,Chen, Yang.,...&Wu, Jin.(2021).Monitoring tree-crown scale autumn leaf phenology in a temperate forest with an integration of PlanetScope and drone remote sensing observations.ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,171,36-48. |
MLA | Wu, Shengbiao,et al."Monitoring tree-crown scale autumn leaf phenology in a temperate forest with an integration of PlanetScope and drone remote sensing observations".ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING 171(2021):36-48. |
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