Forest disturbances in the Great Lakes region, 1986-2019

This data publication contains thirty-four (34) georeferenced (GeoTIFF) raster files containing annual forest disturbances predicted for the Great Lakes region for each year from 1986 to 2019. Disturbed locations were predicted using a Landsat-spectral index (i.e., tasseled-cap wetness) and the LandTrendr algorithm. Locations representing disturbed forests were further attributed into 5 disturbance classes resulting in a raster with seven (7) map classes: conversion, fire, flood, harvest, other disturbance, persistent forest, and non-forest. Additionally, this data publication contains one (1) GeoTIFF raster file containing the most recent disturbance, with respect to the year 2019, for the study area.<br>These data were produced to analyze forest disturbances across the United States portion of the Great Lakes Region for the period 1986 to 2019.<br>These data were published on 07/23/2025. On 08/04/2025, the metadata and supplemental file were updated to include citation details for the newly published article. For more information about this study and these data, see Fekety et al. (2025).