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Assessing landsat-8 and sentinel-2 spectral-temporal features for mapping tree species of northern plantation forests in Heilongjiang Province,China

引用

Forest Ecosystems 2022年第3期9卷 344-356页

作者： Mengyu Wang Yi Zheng Chengquan Huang Ran Meng Yong Pang Wen Jia Jie Zhou Zehua Huang Linchuan Fang Feng Zhao Key Laboratory of Geographical Process Analysis&Simulation of Hubei Province/College of Urban and Environmental Sciences Central China Normal UniversityWuhan430079China Department of Geographical Sciences University of MarylandCollege ParkMD20742USA Macro Agriculture Research Institute Interdisciplinary Sciences Research InstituteCollege of Resources and EnvironmentHuazhong Agricultural UniversityWuhan430070China Institute of Forest Resource Information Techniques Chinese Academy of ForestryBeijing100091China Key Laboratory of Forestry Remote Sensing and Information System National Forestry and Grassland AdministrationBeijing100091China

Background:Accurate mapping of tree species is highly desired in the management and research of plantation forests,whose ecosystem services are currently under ***-series multispectral satellite images,e.g.,from landsat-8(L8)and sentinel-2(S2),have been proven useful in mapping general forest types,yet we do not know quantitatively how their spectral features(e.g.,red-edge)and temporal frequency of data acquisitions(e.g.,16-day vs.5-day)contribute to plantation forest mapping to the species ***,it is unclear to what extent the fusion of L8 and S2 will result in improvements in tree species mapping of northern plantation forests in ***:We designed three sets of classification experiments(i.e.,single-date,multi-date,and spectral-temporal)to evaluate the performances of L8 and S2 data for mapping keystone timber tree species in northern *** first used seven pairs of L8 and S2 images to evaluate the performances of L8 and S2 key spectral features for separating these tree species across key growing *** we extracted the spectral-temporal features from all available images of different temporal frequency of data acquisition(i.e.,L8 time series,S2 time series,and fusion of L8 and S2)to assess the contribution of image temporal frequency on the accuracy of tree species mapping in the study ***:1)S2 outperformed L8 images in all classification experiments,with or without the red edge bands(0.4%–3.4%and 0.2%–4.4%higher for overall accuracy and macro-F1,respectively);2)NDTI(the ratio of SWIR1 minus SWIR2 to SWIR1 plus SWIR2)and Tasseled Cap coefficients were most important features in all the classifications,and for time-series experiments,the spectral-temporal features of red band-related vegetation indices were most useful;3)increasing the temporal frequency of data acquisition can improve overall accuracy of tree species mapping for up to 3.2%(from 90.1%using single-date imagery to 93.3%using S2 time-series),yet similar ov

关键词： Tree species mapping Plantation forests Red-edge features Temporal frequency of data acquisition fusion of landsat-8 and sentinel-2

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