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RDS-2026-0004.zip application/zip 33.2 MB 05/27/2026 01:20:PM
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Project Citation: 

US Department of Agriculture, and US Forest Service. Forest communities of northeast Minnesota based on estimated total above-ground tree biomass. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2026-05-31. https://doi.org/10.3886/E248718V1

Project Description

Project Title:  View help for Project Title Forest communities of northeast Minnesota based on estimated total above-ground tree biomass
Summary:  View help for Summary This data publication includes a fine-grain forest cover type raster based on estimated total above-ground tree biomass across northeast Minnesota from 2009 to 2020. The forest community type is a 30-meter resolution raster covering a 22,522 square kilometer area of northeast Minnesota. We combined relative total above-ground biomass estimates (years 2014 - 2018) of 23 tree species from the United States Forest Service Forest Inventory and Analysis’s (FIA) Big Data, Mapping and Analytics Platform (BIGMAP) project with forest community definitions from Minnesota Department of Natural Resources’ Native Plant Community Class-level (NPCC) information to classify each cell into one of 22 forest communities. Data are provided as both a geodatabase and a georeferenced TIFF file with attribute tables that contain specific information on NPCCs, non-forest classifications, and website sources for each.
Original Distribution URL:  View help for Original Distribution URL https://www.fs.usda.gov/rds/archive/catalog/RDS-2026-0004

Scope of Project

Subject Terms:  View help for Subject Terms environment; biota; Ecology; Ecosystems; Environment; forest communities; classification; above-ground tree biomass; Minnesota; northeast Minnesota
Geographic Coverage:  View help for Geographic Coverage Minnesota
Time Period(s):  View help for Time Period(s) 2009 – 2020
Data Type(s):  View help for Data Type(s) geographic information system (GIS) data
Collection Notes:  View help for Collection Notes DOI: https://doi.org/10.2737/RDS-2026-0004 Authors: Donner, Deahn M. ; Fowler, Jessica R. ; Hurd, Jacob C. ; Hak, John C. ; McGraw, Amanda M. ; Wilson, Barry T. ; Miranda, Brian R. ; Carstensen, Michelle ; Royo, Alejandro A. Publication year: 2026 (Downloaded 2026-05-27)


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