Articles | Volume 16, issue 10
https://doi.org/10.5194/essd-16-4619-2024
https://doi.org/10.5194/essd-16-4619-2024
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

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Cited articles

Achard, F., Eva, H., and Mayaux, P.: Tropical forest mapping from coarse spatial resolution satellite data: production and accuracy assessment issues, Int. J. Remote Sens., 22, 2741–2762, 2001. 
Betts, M. G., Wolf, C., Ripple, W. J., Phalan, B., Millers, K. A., Duarte, A., Butchart, S. H., and Levi, T.: Global forest loss disproportionately erodes biodiversity in intact landscapes, Nature, 547, 441–444, 2017. 
Bonan, G. B.: Forests and climate change: Forcings, feedbacks, and the climate benefits of forests, Science, 320, 1444–1449, 2008. 
Burrill, E. A., DiTommaso, A. M., Turner, J. A., Pugh, S. A., Menlove, J., Christiansen, G., Perry, C. J., and Conkling, B. L.: The Forest Inventory and Analysis Database: database description and user guide version 9.0.1 for Phase 2, U. S. Department of Agriculture, Forest Service, http://www.fia.fs.fed.us/library/database-documentation/ (last access: 21 October 2021), 1026 p, 2021. 
CEC (Commission for Environmental Cooperation): Ecological regions of North America: Toward a common perspective, Commission for Environmental Cooperation, Montreal, Canada, https://gaftp.epa.gov/EPADataCommons/ORD/Ecoregions/cec_na/CEC_NAeco.pdf (last access: 1 October 2024), 1997. 
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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.
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