IB-CAS  > 植被与环境变化国家重点实验室
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
ISSN0924-2716
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
DOI10.1016/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
EISSN1872-8235
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
被引频次:44[WOS]   [WOS记录]     [WOS相关记录]
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
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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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