Mapping Annual Global Forest Gain From 1983 to 2021 With Landsat Imagery

Mapping Annual Global Forest Gain From 1983 to 2021 With Landsat Imagery

The world's forests are experiencing rapid changes due to land use and climate change. However, a detailed map of global forest gain at fine spatial and temporal resolutions is still missing. To fill this gap, we developed an automatic framework for mapping annual forest gain globally usi...

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Bibliographic Details
Main Authors:	Zhenrong Du, Le Yu, Jianyu Yang, David Coomes, Kasturi Kanniah, Haohuan Fu, Peng Gong
Format:	Article
Language:	English
Published:	IEEE 2023-01-01
Series:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:	Change detection forest disturbance land cover Landsat-based detection of trends in disturbance and recovery (LandTrendr)
Online Access:	https://ieeexplore.ieee.org/document/10103610/

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