Annual canopy cover (1973-2018) in Minnesota

These maps represent annual canopy cover from 1973-2018 for the state of Minnesota. This is an update to the original posting in February 2019 with improved maps for 2013-2015, and extended years through 2018. The canopy cover maps were created using Landsat time series methodologies with harmonization of spectral indices from the different sensors throughout the Landsat archive. The cover model was trained using dot grid intrepretation of a sample of plots from 2008 NAIP imagery, and applied across the harmonized and trend fitted Landsat spectral indices. Users should be aware that while the maps have undergone quality assessments, they have not been validated for the year outside model creation. In addition, the map years from 1973-1983 incorporate coaser resolution and lower quality Landat MSS imagery, thus confidence in these years of cover data may be lower than the remainder of the time series. For the purpose of these maps, we consider cover in a functional sense, meaning that large woody shrubs may be grouped with true tree species in the representation of cover estimates.

Additional Info

Field Value
dsAccessConst None.
dsCurrentRef These maps represent annual canopy cover from 1973-2018. This is version 2.0, an update to the original posting which only extended through 2015.
dsModifiedDate 2022-09-01 01:43:38
dsOriginator Jody Vogeler, University of Minnesota
dsPurpose Canopy cover is a frequently used forest attribute for a variety of applications including: wildlife habitat modeling, watershed monitoring, change detection, landscape level stand delineation and configuration, as well as often being linked to other aspects of forest structure and ecosystem functioning. Annual estimates of cover across the state may be utilized to match the timing of existing field data sets, as well as for assessing changes through time for research and management purposes.
gdrsDsGuid {3ec7e045-801e-42f2-ab72-682394ebf699}
spatial {"type":"Polygon","coordinates":[[[-97.23, 43.5],[-97.23, 49.37], [-89.53, 49.37], [-89.53, 43.5], [-97.23, 43.5]]]}

Dataset extent

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