Regional-scale management maps for forested areas of the Southeastern United States and the US Pacific Northwest

Scientific Data
Matthew MarsikMichael W Binford

Abstract

Forests in the United States are managed by multiple public and private entities making harmonization of available data and subsequent mapping of management challenging. We mapped four important types of forest management, production, ecological, passive, and preservation, at 250-meter spatial resolution in the Southeastern (SEUS) and Pacific Northwest (PNW) USA. Both ecologically and socio-economically dynamic regions, the SEUS and PNW forests represent, respectively, 22.0% and 10.4% of forests in the coterminous US. We built a random forest classifier using seasonal time-series analysis of 16 years of MODIS 16-day composite Enhanced Vegetation Index, and ancillary data containing forest ownership, roads, US Forest Service wilderness and forestry areas, proportion conifer and proportion riparian. The map accuracies for SEUS are 89% (10-fold cross-validation) and 67% (external validation) and PNW are 91% and 70% respectively with the same validation. The now publicly available forest management maps, probability surfaces for each management class and uncertainty layer for each region can be viewed and analysed in commercial and open-source GIS and remote sensing software.

References

Oct 12, 2004·Journal of Environmental Management·Vito F UricchioNicola Lopez
Dec 7, 2007·Ecology·D Richard CutlerJoshua J Lawler
Oct 22, 2013·Current Opinion in Environmental Sustainability·Tobias KuemmerleAnette Reenberg

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Citations

Nov 27, 2019·The Science of the Total Environment·C Wade RossXiong Xiong
Oct 1, 2021·Scientific Reports·Ana M G BarrosAlan A Ager

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Software Mentioned

ArcGIS Linear Density tool
GRASS GIS
NLCD
ERDAS Imagine
ED2
OpenStreetMap
randomForest R package
R
MODIS
GeoTIFF

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