Supplemental material
GIScience & Remote Sensing
Volume 60, 2023 - Issue 1
Research Article
An innovative lightweight 1D-CNN model for efficient monitoring of large-scale forest composition: a case study of Heilongjiang Province, China
Ye Maa School of Forestry, Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, Northeast Forestry University, Harbin, P. R. China;b Northeast Asia Biodiversity Research Center, Northeast Forestry University, Harbin, China
https://orcid.org/0000-0002-6476-6967View further author information
https://orcid.org/0000-0002-6476-6967View further author information, Zhen Zhena School of Forestry, Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, Northeast Forestry University, Harbin, P. R. China;c Department of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology, Ulsan, South Koreahttps://orcid.org/0000-0001-9281-4260View further author information
https://orcid.org/0000-0001-9281-4260View further author information, , & Yinghui Zhaoa School of Forestry, Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, Northeast Forestry University, Harbin, P. R. China;b Northeast Asia Biodiversity Research Center, Northeast Forestry University, Harbin, ChinaCorrespondence[email protected]
https://orcid.org/0000-0002-1933-8357View further author information
https://orcid.org/0000-0002-1933-8357View further author information