Annual maps of forest and evergreen forest in the contiguous United States during 2015–2017 from analyses of PALSAR-2 and Landsat images

Wang, Jie; Xiao, Xiangming; Qin, Yuanwei; Dong, Jinwei; Zhang, Geli; Yang, Xuebin; Wu, Xiaocui; Biradar, Chandrashekhar; Hu, Yang

doi:https://doi.org/10.5194/essd-16-4619-2024

Articles | Volume 16, issue 10

https://doi.org/10.5194/essd-16-4619-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-16-4619-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 16, issue 10

Data description paper

|

11 Oct 2024

Data description paper |

| 11 Oct 2024

Annual maps of forest and evergreen forest in the contiguous United States during 2015–2017 from analyses of PALSAR-2 and Landsat images

Jie Wang, Xiangming Xiao, Yuanwei Qin, Jinwei Dong, Geli Zhang, Xuebin Yang, Xiaocui Wu, Chandrashekhar Biradar, and Yang Hu

Data sets

30m PALSAR-2/Landsat-based Forest and Evergreen Forest maps in CONUS from 2015 to 2017 Jie Wang et al. https://doi.org/10.6084/m9.figshare.21270261

Short summary

Existing satellite-based forest maps have large uncertainties due to different forest definitions and mapping algorithms. To effectively manage forest resources, timely and accurate annual forest maps at a high spatial resolution are needed. This study improved forest maps by integrating PALSAR-2 and Landsat images. Annual evergreen and non-evergreen forest-type maps were also generated. This critical information supports the Global Forest Resources Assessment.