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作 者:Xiaomei Zhang Guojin He Shijie Yan Tengfei Long Xueli Peng Zhaoming Zhang Guizhou Wang
机构地区:[1]China Remote Sensing Satellite Ground Station,Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing,People’s Republic of China [2]School of Electrical and Communication Engineering,University of Chinese Academy of Sciences,Beijing,100049,People’s Republic of China [3]College of Resources and Environment,University of Chinese Academy of Sciences,Beijing,100049,People’s Republic of China
出 处:《International Journal of Digital Earth》2023年第1期1008-1021,共14页国际数字地球学报(英文)
基 金:supported by the Strategic Priority Research Program of the Chinese Academy of Sciences(XDA 19090300,XDA 19090124);the National Natural Science Foundation of China(61731022);the Second Tibetan Plateau Scientific Expedition and Research Program(2019QZKK030701);Chinese Academy of Sciences Net-work Security and Informatization Special Project(CAS-WX2021PY-0107-01).
摘 要:To assess the status and change trend of forest in China,an indicator framework was developed using SDG sub-indicators.In this paper,we propose an improved methodology and a set of workflows for calculating SDG indicators.The main modification include the use of moderate and high spatial resolution satellite data,as well as state-of-the-art machine learning techniques for forest cover classification and estimation of forest above-ground biomass(AGB).This research employs GF-1 and GF-2 data with enhanced texture information to map forest cover,while time series Landsat data is used to estimate forest AGB across the whole territory of China.The study calculate two SDG sub-indicators:SDG_(15.1.1) for forest area and SDG_(15.2.1) for sustainable forest management.The evaluation results showed that the total forest area in China was approximately 219 million hectares at the end of 2021,accounting for about 23.51%of the land area.The average annual forest AGB from 2015 to 2021 was estimated to be 105.01Mg/ha,and the overall trend of forest AGB change in China was positive,albeit with some spatial differences.
关 键 词:Remote sensing sustainability forest status assessment SDG_(15.1.1) SDG_(15.2.1)
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