Annual canopy cover (1973-2015) in Minnesota

These maps represent annual canopy cover from 1973-2015 for the state of Minnesota. They 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. New map versions that further minimize processing seam lines and ETM+ scan line error artifacts, as well as update the data set through 2018, are coming soon.

Additional Info

Field Value
Last Updated February 27, 2019, 11:02
Created February 27, 2019, 11:02
dsAccessConst None.
dsCurrentRef These maps represent annual canopy cover from 1973-2015. Efforts are currently underway to update the time series through 2018.
dsMetadataUrl ftp://ftp.gisdata.mn.gov/pub/gdrs/data/pub/us_mn_state_dnr/env_annual_canopy_cover/metadata/metadata.html
dsModifiedDate 2019-02-27 01:09:31
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. <br/>

Dataset extent