中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Monitoring tree-crown scale autumn leaf phenology in a temperate forest with an integration of PlanetScope and drone remote sensing observations

文献类型:期刊论文

作者Wu, Shengbiao; Wang, Jing; Yan, Zhengbing; Song, Guangqin; Chen, Yang; Ma, Qin3; Deng, Meifeng3; Wu, Yuntao3; Zhao, Yingyi; Guo, Zhengfei
刊名ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
出版日期2021
卷号171页码:36-48
ISSN号0924-2716
关键词Multi-scale remote sensing Phenocam High-resolution satellite MODIS Individual tree-crown Leaf phenology
DOI10.1016/j.isprsjprs.2020.10.017
文献子类Article
英文摘要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.
学科主题Geography, Physical ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
电子版国际标准刊号1872-8235
出版地AMSTERDAM
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)
语种英语
出版者ELSEVIER
WOS记录号WOS:000604406500003
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]
源URL[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.Chinese Acad Sci, Inst Appl Ecol, Key Lab Forest Ecol & Management, Shenyang 110164, Peoples R China
2.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing, Peoples R China
3.Univ Hong Kong, Sch Biol Sci, Pokfulam, Hong Kong, Peoples R China
4.Chinese Univ Hong Kong, State Key Lab Agrobiotechnol, Hong Kong, Peoples R China
5.Univ Chinese Acad Sci, Yuquan Rd, Beijing, Peoples R China
6.Univ Virginia, Dept Environm Sci, 291 McCormick Rd, Charlottesville, VA USA
7.Cornell Univ, Dept Ecol & Evolutionary Biol, Ithaca, NY USA
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.

入库方式: OAI收割

来源:植物研究所

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