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High-resolution global mature and young oil palm plantation subclass maps for 2020

International Journal of Digital Earth 2023年第1期16卷 2168-2188页

作者： You Xu Dongjie Fu Hao Yu Fenzhen Su Vincent Lyne Rong Fan Bin He Tingting Pan Jiasheng Tang Faculty of Geomatics Lanzhou Jiaotong UniversityLanzhouPeople’s Republic of China State Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijingPeople’s Republic of China College of Resources and Environment University of Chinese Academy of SciencesBeijingPeople’s Republic of China School of Geography and Ocean Sciences Nanjing UniversityNanjingPeople’s Republic of China National-Local Joint Engineering Research Center of Technologies and Applications for National Geographic State Monitoring LanzhouPeople’s Republic of China Gansu Provincial Engineering Laboratory for National Geographic State Monitoring LanzhouPeople’s Republic of China IMAS-Hobart University of TasmaniaTasmaniaAustralia

Accurate high-resolution maps of oil palm plantations underpin effective management of environmental and socio-economic impacts at global,regional,and national ***,young industrial and highly irregular small-holder plantations are mostly unmapped and not included in official FAO *** issue is addressed here by discriminating global oil palm plantation in 2020 into four subclasses:Industrial Mature oil palm(IMOP);Industrial Young oil palm(IYOP);Smallholder Mature oil palm(SMOP);and Smallholder Young oil palm(SYOP).Data,resolved to 4.77 m,from Planet&NICFI,Sentinel-1/2,were combined with other layers using the image-oriented classification and regression tree(CART)algorithm which performed best in classification *** show that SMOP dominates distributional extent,but it was also the most accurately mapped subclass typically found at 500–1000 m *** had the most extensive altitude range of 500–1300 m,while IYOP and SYOP were found at similar altitudes of 500–800 m and 500–900 m *** developments in South East Asia show oil palm plantations expanding into new areas with a slope of 24 *** provide data to support Sustainable Development Goal by assisting future oil palm-related development planning and monitoring in the world’s major oil palm-growing countries.

关键词： oil palm subclass oil palm map spatial mapping Planet&NICFI Sentinel-1/2 deforestation SDG 15

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