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Spatial database of planted forests in East Asia using machine learning  (code, training datasets, and models)

Version 2 2023-05-31, 20:42
Version 1 2023-01-06, 16:33
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posted on 2023-05-31, 20:42 authored by Akane AbbasiAkane Abbasi, Xiaolu TangXiaolu Tang, Nancy Harris, Elizabeth Goldman, Javier G. P. Gamarra, Martin Herold, Hyun Seok Kim, Weixue LuoWeixue Luo, Carlos Alberto Silva, Nadezhda M. Tchebakova, Ankita Mitra, Yelena Finegold, Mohammad Reza Jahanshahi, Cesar Ivan Alvarez Mendoza, Jingjing LiangJingjing Liang

Training datasets, code, and saved random forests (RF) models to re-produce the main map products (https://doi.org/10.6084/m9.figshare.21774725.v2)

Funding

The World Resources Institute (WRI) project “Mapping planted forests in China,” the Department of Forestry and Natural Resources, Purdue University, and Takenaka Scholarship Foundation

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