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 a hypothetical light source shining from the northwest.

Product: Processed, classified lidar point cloud data tiles in LAS 1.4 format. Geographic Extent: This dataset covers approximately 5847 square miles in southeast Minnesota and consists of 3 deliveries or blocks. MN_SEDriftless_1 (Work Unit 228969) - Approximately 1,741 square miles in southeast Minnesota, including Dakota, Dodge, Freeborn, Mower, Rice, Scott, Steele, and Waseca counties MN...

Fugro Horizons Inc. acquired highly accurate Light Detection and Ranging (lidar) elevation data for the Twin Cities metropolitan region in east-central Minnesota in Spring and Fall 2011, with some reflights in Spring 2012. The data cover Anoka, Benton, Carver, Dakota, Goodhue, Hennepin, Isanti, Kanabec, Meeker, Mille Lacs, Morrison, Ramsey, Scott, Sherburne and Washington counties.

Most of the data was collected at 1.5 points/square meter. Smaller areas were collected with 2 points/square meter and with 8 points/square meter:
1. 1.5 points/square meter covers Morrison, Mille Lacs, Benton, Isanti, Sherburne, Anoka, Meeker, Hennepin, Washington, Carver, Scott, and Goodhue counties.
2. 2 points/square meter covers the Dakota Block (southern 2/3 of Dakota County)
3. 8 points/square meter covers portions of Minneapolis/St. Paul and the City of Maple Grove
See map of block boundaries: https://www.mngeo.state.mn.us/chouse/elevation/metro_data_delivery_dates.pdf

Data are in the UTM Zone 15 coordinate system, NAD83 (HARN), NAVD88 Geoid09, meters. The tiling scheme is 16th USGS 1:24,000 quadrangle tiles.

The vendor delivered the data to the Minnesota Department of Natural Resources (DNR) in several formats:

1. One-meter digital elevation model
2. Edge-of-water breaklines
3. Classified LAS formatted point cloud data

DNR staff quality-checked the data and created three additional products: two-foot contours, building outlines and hillshades.

This metadata record was created at the Minnesota Geospatial Information Office using information supplied by the vendor and by DNR.

The project vendor, Woolpert, Inc., acquired highly accurate Light Detection and Ranging (lidar) elevation data for the Arrowhead Region in Northeast Minnesota in Spring 2011. The data cover Carlton, Cook, Lake and St. Louis counties, part of Itasca County, and Voyageurs National Park in Koochiching County. Lidar data are in the UTM Zone 15 coordinate system, NAD83 96 NAVD88 Geoid09, meters. The tiling scheme is 16th USGS 1:24,000 quadrangle tiles.

The vendor delivered the data to the Minnesota Department of Natural Resources (DNR) in several formats:

1) One-meter digital elevation model
2) Edge-of-water breaklines
3) Classified LAS formatted point cloud data

DNR staff created two additional products: two-foot contours and building outlines.

This metadata record was created at the Minnesota Geospatial Information Office by combining information supplied by Woolpert and DNR.

Product: Processed, classified lidar point cloud data tiles in LAZ 1.4

Geographic Extent: Approximately 10,966 square miles in southeast Minnesota.

MN_CentralMissRiver_1 (Work Unit 230948) - covering approximately 495 square miles MN_CentralMissRiver_2 (Work Unit 300156) - covering approximately 2621 square miles MN_CentralMissRiver_3 (Work Unit 300157) - covering approximately 2786 sq...

This dataset is a LAS (industry-standard binary format for storing large point clouds) dataset containing light detection and ranging (LiDAR) data and sonar data representing the beach and near-shore topography of Lake Superior at Minnesota Point, Duluth, Minnesota. Average point spacing of the LAS files in the dataset are as follows: LiDAR, 0.137 meters (m); multi-beam sonar, 1.029 m; single-beam sonar, 0.999 m. The LAS dataset was used to create a 10-m (32.8084 feet) digital elevation model (DEM) of the approximately 5.9 square kilometer (2.3 square mile) surveyed area using the "LAS dataset to raster" tool in Esri ArcGIS, version 10.7. LiDAR data were collected August 10, 2019 using a boat-mounted Optech ILRIS scanner and methodology similar to that described by Huizinga and Wagner (2019). Multi-beam sonar data were collected August 7-11, 2019 using an R2Sonic 2024 sonar unit and methodology similar to that described by Richards and Huizinga (2018). Single-beam sonar data were collected August 27-28, 2019 using a CEESCOPE single-beam echosounder and methodology similar to that described by Wilson and Richards (2006).

The project vendor, Woolpert, Inc., acquired highly accurate Light Detection and Ranging (lidar) elevation data for the Duluth area during the Fall of 2012. Lidar data are in the UTM Zone 15 coordinate system, NAD83 96, NAVD88 Geoid09 meters tiled by USGS 1/16, 1:24,000 quadrangles.

The vendor delivered the data to the Minnesota Department of Natural Resources (DNR) in several formats:

1) One-meter digital elevation model
2) Edge-of-water breaklines
3) Classified LAS formatted point cloud data

DNR staff created four additional products: two-foot contours, building outlines, hillshades and a difference grid between this data and lidar data collected in 2011.

This metadata record was created at the Minnesota Geospatial Information Office by combining information supplied by Woolpert and DNR.

Geographic Extent: Approximately 11,485 square miles in southwest Minnesota.

MN_RiverWest_1 (Work Unit 300408) - covering approximately 4151 square miles MN_RiverWest_2 (Work Unit 300409) - covering approximately 3170 square miles MN_RiverWest_3 (Work Unit 300410) - covering approximately 4164 square miles

Dataset Description of Original Data: LIDAR-derived binary (.las) files containin...

This dataset contains lidar-derived elevation products for the Minnesota portion of the Red River of the North Basin. The Minnesota Department of Natural Resources (DNR) processed the data to make it consistent with other lidar data available in Minnesota, including converting it to UTM Zone 15 coordinates and tiling to 3.25 square mile blocks based on 1/16 of a standard USGS 1:24,000 quadrangle.

Data covers the following Minnesota counties: Becker, Beltrami, Big Stone, Clay, Clearwater, Grant, Kittson, Koochiching (northern portion), Lake of the Woods, Mahnomen, Marshall, Norman, Otter Tail, Pennington, Polk, Red Lake, Roseau, Stevens, Traverse, Wilkin. Products included are: One- and three-meter DEMs, one- and three-meter hillshades, and two-foot contours, plus a tile index map for each county. Since breaklines were not available for all of the Minnesota portion of the basin, the data has not been hydro-flattened.

The original data was provided by the International Water Institute (IWI) and the United States Geological Survey. IWI's Red River Basin Mapping Initiative acquired a highly accurate digital elevation model (DEM) for the Red River of the North Basin south of the U.S./Canada border in UTM Zone 14 coordinates.

This metadata record was created at the Minnesota Geospatial Information Office by combining information from the IWI and DNR.

description: The original data was classified bare-earth LiDAR DEM and photogrammetrically derived breaklines generated from LiDAR Intensity stereo-pairs in ESRI ASCII 3D Generate format and Microstation SE .dgn format for Blue Earth County, Minnesota. The data was further processed by the Minnesota Department of Natural Resources to create and distribute feature classes in this geodatabase version. The LiDAR data for Blue Earth County was collected under contract by the county. Thus, the data format is not entirely consistent with some of the other LiDAR data available in Minnesota. Specifically, the Blue Earth county collect only required classification of Bare Earth in the LiDAR LAS files, so there is no information on buildings, vegetation, or model key points. Breaklines captured as part of this effort are also a bit different since they are 3D Polyline features rather than 3D Polygon features. They also include road centerlines, stream courses and other features that are not part of the Statewide collect specifications. Note: This metadata record was created at the Minnesota Geospatial Information Office using information supplied by Optimal Geomatics, Inc., Blue Earth County, and the Minneosta Department of Natural Resources.; abstract: The original data was classified bare-earth LiDAR DEM and photogrammetrically derived breaklines generated from LiDAR Intensity stereo-pairs in ESRI ASCII 3D Generate format and Microstation SE .dgn format for Blue Earth County, Minnesota. The data was further processed by the Minnesota Department of Natural Resources to create and distribute feature classes in this geodatabase version. The LiDAR data for Blue Earth County was collected under contract by the county. Thus, the data format is not entirely consistent with some of the other LiDAR data available in Minnesota. Specifically, the Blue Earth county collect only required classification of Bare Earth in the LiDAR LAS files, so there is no information on buildings, vegetation, or model key points. Breaklines captured as part of this effort are also a bit different since they are 3D Polyline features rather than 3D Polygon features. They also include road centerlines, stream courses and other features that are not part of the Statewide collect specifications. Note: This metadata record was created at the Minnesota Geospatial Information Office using information supplied by Optimal Geomatics, Inc., Blue Earth County, and the Minneosta Department of Natural Resources.

This dataset is a LAS dataset containing light detection and ranging (lidar) data and sonar data representing the beach and near-shore topography of Lake Superior at Minnesota Point, Duluth, Minnesota. The LAS dataset was used to create a digital elevation model (DEM) of the approximately 2.27 square kilometer surveyed area. Lidar data were collected July 23, 2020 using a boat mounted Velodyne unit. Multibeam sonar data were collected July 20th and 23rd, 2020 using a Norbit integrated wide band multibeam system compact (iWBMSc) sonar unit. Methodology similar to Wagner, D.M., Lund, J.W., and Sanks, K.M., 2020 was used.

Original Product: These are Digital Elevation Model (DEM) data for Minnesota as part of the required deliverables for the MN_RainyLake_2020_B20 project. Class 2 (ground) LiDAR points in conjunction with the hydro breaklines were used to create a 0.5 meter hydro-flattened Raster DEM.

Original Dataset Geographic Extent: 8 counties in Minnesota, covering approximately 11,620 total square miles....

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 State of Minnesota. Specifically, the Stearns County collect required classification of only Bare Earth returns in the LiDAR LAS files, so there is no information on buildings, vegetation, or model key points.

Breaklines captured as part of this effort are also a bit different. In Stearns County, the breaklines are 3D Polyline features rather than 3D Polygon features. They also include road centerlines, stream courses and other features that are not part of the Statewide collect specifications.

The following data was delivered to the Minnesota Department of Natural Resources (DNR):

1. Bare Earth LAS files
2. 1-foot DEMs
3. Breaklines (edge of water, curb and centerlines)

DNR staff created the two-foot contours.

Note: This metadata record was created at the Minnesota Geospatial Information Office using information supplied by DNR and Merrick & Co.

County-wide LiDAR (Light Detection And Ranging) DSM (digital surface model) data collection enhanced with hydrological breaklines and other enhancements where necessary via photogrammetric methods (stereo compiled) to derive a DTM (digital terrain model) accurate enough to support 2.0-foot contours.

The LiDAR data for Rice 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 State of Minnesota. Specifically, the Rice County collect required classification of only Bare Earth in the LiDAR LAS files, so there is no information on buildings, vegetation, or model key points.

Breaklines captured as part of this effort are also a bit different. In Rice County the breaklines are 3D Polyline features rather than 3D Polygon features. They also include road centerlines, stream courses and other features that are not part of the Statewide collect specifications.

Note: This metadata record was created at the Minnesota Geospatial Information Office by combining information from Rice County, Aero-Metric (now Quantum Spatial), and the Minnesota Department of Natural Resources.

The lidar data for McLeod 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 State of Minnesota. Specifically, the McLeod County collect required classification of only Bare Earth in the lidar LAS files, so there is no information on buildings, vegetation, or model key points. The LAS data used for this process were acquired from the U.S. Geological Survey. No breaklines were available for processing this data.

This metadata record was created at the Minnesota Geospatial Information Office using information supplied by McLeod County and the Minnesota Department of Natural Resources.

AeroMetric (now Quantum Spatial) acquired highly accurate Light Detection and Ranging (LiDAR) elevation data for the Minnesota portion of the Minnesota River Basin. The project area of approximately 17,260 square miles covered the following 25 Minnesota counties: Brown, Chippewa, Cottonwood, Douglas, Faribault, Jackson, Kandiyohi, Lac qui Parle, Le Sueur, Lincoln, Lyon, Martin, Murray, Nicollet, Nobles, Pipestone, Pope, Redwood, Renville, Rock, Sibley, Swift, Waseca, Watonwan, and Yellow Medicine.

LiDAR data acquisition, control and QC surveys were completed during the spring and fall leaf-off periods: April 8 - May 5 and November 2 - 19, 2010. The tiling scheme is 16th USGS 1:24,000 quadrangle tiles. Aerometric delivered the data to the Minnesota Department of Natural Resources (DNR) in several formats: LAS, geodatabase, DEM and breaklines.

DNR staff created three additional products: two-foot contours, building outlines and hillshades.

Note: This metadata record was created at the Minnesota Geospatial Information Office by combining information supplied by AeroMetric and DNR.

This data is representation of Lidar flight paths for the state of Minnesota. The data represented was generated between 2021 and 2023, during the collection of 2nd generation Lidar data which was collected on Lidar Acquisition Block (LABs) levels. Some LABs have further been broken down into work units, please see https://www.mngeo.state.mn.us/chouse/elevation/lidar.html for additonal information on LABs.

The flight path vector polygons were delivered to MnGeo by vendors for the respective LABs and/or work units Lidar was for. These we then aggregated into a single map service to provide information on time of data collection of Minnesota's 2nd generation Lidar data.

The lidar data for Wright County was collected under contract by the county, thus the data format is not entirely consistent with some of the other lidar data collected for the State of Minnesota. Specifically, the Wright County collect required classification of only Bare Earth in the lidar LAS files, so there is no information on buildings, vegetation, or model key points.

Breaklines captured as part of this effort are also a bit different. In Wright County the breaklines are 3D Polyline features rather than 3D Polygon features. They also include road centerlines, stream courses and other features that are not part of the Statewide collect specifications.

This metadata record was created at the Minnesota Geospatial Information Office by combining information supplied by Merrick, Wright County, and the Minnesota Department of Natural Resources.

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 of multitemporal Landsat 8 data and LiDAR data with Object-based image analysis. By using objects instead of pixels we were able to utilize multispectral data along with spatial and contextual information of objects such as shape, size, texture and LiDAR-derived metrics to distinguish different land cover types. While OBIA has become the standard procedure for classification of high resolution imagery we found that it works equally well with Landsat imagery. For the objects classified as urban or developed, a regression model relating the Landsat greenness variable to percent impervious was developed to estimate and map the percent impervious surface area at the pixel level.

This dataset was funded by the the Minnesota Environment and Natural Resources Trust Fund (ENRTF).

This dataset consists of three files containing northing, easting, and elevation ("XYZ") information for light detection and ranging (lidar) data representing the beach topography and near-shore bathymetry of Minnesota Point near the Duluth Entry of Lake Superior, Duluth, Minnesota. The point data is the same as that in the LAS dataset used to create a digital elevation model (DEM) for the approximate 1.87 square kilometer surveyed area. Lidar data were collected using a boat mounted Velodyne VLP-16 unit. Multibeam sonar data were collected using a Norbit integrated wide band multibeam system compact (iWBMSc) sonar unit. Single-beam sonar data were collected using a Ceescope sonar unit. All elevation data were collected June 22-24, 2021. Methodology similar to Wagner, D.M., Lund, J.W., and Sanks, K.M., 2020 was used.