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TCMA 1-Meter Land Cover Classification
A high-resolution (1-meter) land cover classification raster dataset was completed for three different geographic areas in Minnesota: Duluth, Rochester, and the seven-county... -
Rochester 1-Meter Land Cover Classification
A high-resolution (1-meter) land cover classification raster dataset was completed for three different geographic areas in Minnesota: Duluth, Rochester, and the seven-county... -
Minnesota Land Cover Classification and Impervious Surface Area by Landsat an...
This is a 15-meter raster dataset of a land cover and impervious surface classification for 2013, level two classification. The classification was created using a combination... -
Duluth 1-Meter Land Cover Classification
A high-resolution (1-meter) land cover classification raster dataset was completed for three different geographic areas in Minnesota: Duluth, Rochester, and the seven-county... -
TCMA 1-Meter Urban Tree Canopy Classification
This classification was created using high-resolution multispectral National Agriculture Imagery Program (NAIP) leaf-on imagery (2015), spring leaf-off imagery (2011- 2014),... -
Hillshade, Lidar-derived, Minnesota
The hillshade is a black-and-white image showing elevation changes in the landscape. It is created from a digital elevation model as if the elevation surface were illuminated by... -
Minnesota 3DGeo 1000-Meter Tile Index
Minnesota’s 3D Geomatics Committee (3DGeo) - Data Acquisition Workgroup and committee partners have created a new statewide tile indexing scheme for storing, managing, and... -
Minnesota 3DGeo 500-Meter Tile Index
Minnesota’s 3D Geomatics Committee (3DGeo) - Data Acquisition Workgroup and committee partners have created a new statewide tile indexing scheme for storing, managing, and... -
MnModel Visibility Viewshed, Minnesota
This dataset represents a 10m visibility raster calculated using the ArcGIS Viewshed2 tool and a custom set of tools in Python. -
MnModel Digital Terrain Model (Pits Removed), Minnesota
This dataset was developed for use in Mn/Model4 archaeological predictive model. NOTE: The compressed dataset is over 4 GB in size due to the high resolution scale and statewide...
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