This data is a seamless representation of Lidar derived Digital Elevation Model (DEM) for the state of Minnesota. The data represented was collected between 2021 and 2023. The...

This data represents flight paths of Minnesota's 2nd generation Lidar data generated between 2021 and 2023, during the collection of the state's 2nd generation Lidar data. Data...

A half-meter (0.5m) cell size Digital Elevation Model (DEM) raster was created from the ground classified lidar points plus the breaklines. The files are delivered in tile...

This file geodatabase contains datasets that represent elevation data.The following links can be used to obtain individual metadata pages: Contour: elev_contour.html

A half-meter (0.5m) cell size Digital Elevation Model (DEM) raster was created from the ground classified lidar points plus the breaklines. The files are delivered in tile...

A half-meter (0.5m) cell size Digital Elevation Model (DEM) raster was created from the ground classified lidar points plus the breaklines. The files are delivered in tile...

A half-meter (0.5m) cell size Digital Elevation Model (DEM) raster was created from the ground classified lidar points plus the breaklines. The files are delivered in tile...

A half-meter (0.5m) cell size Digital Elevation Model (DEM) raster was created from the ground classified lidar points plus the breaklines. The files are delivered in tile...

A half-meter (0.5m) cell size Digital Elevation Model (DEM) raster was created from the ground classified lidar points plus the breaklines. The files are delivered in tile...

A half-meter (0.5m) cell size Digital Elevation Model (DEM) raster was created from the ground classified lidar points plus the breaklines. The files are delivered in tile...

The Minnesota DNR Toolbox provides a number of convenience geoprocessing tools used regularly by MNDNR staff. Many of these may be useful to the wider public. However, some...

This dataset represents a 10m visibility raster calculated using the ArcGIS Viewshed2 tool and a custom set of tools in Python.

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...

The DNR bluff mapping tool is intended to help local governments identify bluffs in the administration of shoreland and river-related ordinances that regulate placement of...

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...

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...

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...

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...

This classification was created using high-resolution multispectral National Agriculture Imagery Program (NAIP) leaf-on imagery (2015), spring leaf-off imagery (2011- 2014),...

The lidar data for Stearns County was collected under contract by the county. Thus, the data format is not entirely consistent with some of the other lidar data collected by the...