five

Forest disturbances in the Great Lakes region, 1986-2019

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NIAID Data Ecosystem2026-05-02 收录
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https://figshare.com/articles/dataset/Forest_disturbances_in_the_Great_Lakes_region_1986-2019/29963987
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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. These data were produced to analyze forest disturbances across the United States portion of the Great Lakes Region for the period 1986 to 2019. 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).
创建时间:
2025-01-02
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