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Nebraska LiDAR

This layer represents the grids for available LiDAR data from the State of Nebraska. The grid polygons were downloaded from the Nebraska DNR data portal then attributed with URLs linking to the DEM and metadata files within the specific tile. There is an additional link to the LiDAR project page for LAS request because Nebraska does not offer a direct LiDAR download. When the user selects a tile, the pop-up bubble will show all available data with tile and project name.

Data Info

2009 South Central

LIDAR has been collected for South-Central Nebraska. The project is a collaboration of several partners to obtain 0.7m Ground Sample Distance (GSD) LIDAR for a portion of the Platte River and 1.4m GSD LIDAR for the rest of the study area.

Rainwater Basin Joint Venture, Platte River Recovery Implementation Program, DNR, USGS, Central Platte NRD, Tri-Basin NRD, Lower Republican NRD, Little Blue NRD, Upper Big Blue NRD, Kansas GIS Policy Board, USDA-NRCS Kansas and USDA-NRCS Nebraska worked together and provided funding to make this happen. Significant funding was provided by Nebraska Environmental Trust, Natural Resources Conservation Service’s Conservation Innovation Grant, and Interrelated Water Management Plan Program Fund. The U.S. Fish & Wildlife Service and Nebraska Game and Parks Commission made in-kind contributions in the LIDAR of personnel time.

Vertical accuracy was specified to meet a standard of RMSE=18.5cm (Accuracy=0.36m at 95% confidence level) for the 1.4m GSD area. The vertical accuracy for the 0.7m GSD area was specified to meet a standard of 9.2 cm RMSE (Accuracyz = 0.18m at the 95% confidence level). Points were to be classified in the following classes:

Class 1- Unclassified

Class 2- Ground

Class 7- Low point and noise

Class 9- water

Class 12- overlap

It was collected in leaf-off conditions.

Eventually the LAS format point cloud data will be made available on USGS’s Center for LIDAR Information Coordination and Knowledge (CLICK) website, but meanwhile it can be obtained from DNR. LAS, 1m DEMs and 2m DEMs are available for the main South-Central Nebraska area; the 2m DEMs are available below for download. Only LAS is available for the 0.7m GSD Platte River area.

 
2010 Eastern Nebraska

LIDAR has been collected for Eastern Nebraska. The project was funded by the Nebraska USDA-NRCS to obtain high-resolution digital elevation data developed from 1.4m GSD minimum resolution LIDAR for the entire study area. The study area includes parts of the following counties: Butler, Cass, Howard, Johnson, Merrick, Nance, Nemaha, Otoe, Platte, Polk, and Saunders. Please see the Index below for exact locations..

Vertical accuracy was specified to meet a standard of RMSE=18.5cm (Accuracyz=0.36m at 95% confidence level). Horizontal accuracy was specified to meet or exceed 0.6m RMSE (Accuracy=1.04m at the 95% confidence level). Points were to be classified in the following classes: Points were to be classified in the following classes:

Class 1- Unclassified

Class 2- Ground

Class 7- Low point and noise

It was collected in leaf-off conditions between Fall of 2010 and Spring of 2011.

The USDA-NRCS obtained and shared with Nebraska DNR LAS files, 1m DEMs, and 2 foot contours for this project. The NRCS DEMS were edge-matched to existing LIDAR, including data obtained by the Nebraska Iowa Regional Orthophotography Consortium (NIROC) in 2010 and data from the Prairie Creek project, funded by the Central Platte Natural Resource District (CPNRD) also flown in 2010. For more information on the NIROC and CPNRD Prairie Creek LIDAR date sets, see the below listed contacts. The Index provided below shows the areas covered by the NRCS and NIROC LIDAR data. DNR produced 2m DEMs from the NRCS 1m DEMs for the NRCS and NIROC LIDAR data by resampling the NRCS 1m DEMs through ArcGIS Spatial Analyst using the bilinear interpolation technique. This technique was chosen because it is the preferred technique for continuous surfaces, such as elevation data.

 
2011 NRCS & USACE - Nebraska - LiDAR

LIDAR has been collected for twenty-one counties in Nebraska. The project was funded by the Nebraska USDA-NRCS to obtain high-resolution digital elevation data developed from 1.4m GSD minimum resolution LIDAR for the entire study area. The study area includes parts of the following counties: Knox, Cedar, Dixon, Dakota, Thurston, Burt, Washington, Dodge, Colfax, Platte, Richardson, Pawnee, Gage, Buffalo, Dawson, Lincoln, Perkins, Chase, Hayes, Dundy, and Hitchcock. Please see the Index below for exact locations.

Vertical accuracy was specified to meet a standard of RMSE=18.5cm (Accuracyz=0.36m at 95% confidence level). Horizontal accuracy was specified to meet or exceed 0.6m RMSE (Accuracy=1.04m at the 95% confidence level). Points were to be classified in the following classes:

Class 1- Unclassified

Class 2- Ground

Class 7- Low point and noise

Class 8- Model Keypoints (masspoints)

It was collected in leaf-off conditions Spring of 2012.

The USDA-NRCS obtained and shared with Nebraska DNR LAS files, 1m DEMs, and 2 foot contours for this project. The NRCS DEMS were edge-matched to existing LIDAR, including data obtained by the Nebraska Iowa Regional Orthophotography Consortium (NIROC) in 2010, the 2010 Eastern LiDAR Project collected also by the NRCS, and the 2009 South Central Project collected by the Rainwater Basin Joint Venture and partners. Information about the Eastern Nebraska LiDAR and the South Central LiDAR projects and data downloads are available on NDNR’s website at this location: http://dnr.ne.gov/databank/spat.html. For more information on the NIROC data set, see the below listed contact. The Index provided below shows the areas covered by the NRCS and NIROC LIDAR data. DNR produced 2m DEMs from the NRCS 1m DEMs by resampling the NRCS 1m DEMs through ArcGIS Spatial Analyst using the bilinear interpolation technique. This technique was chosen because it is the preferred technique for continuous surfaces, such as elevation data. The 2m DEMs are available below for download.

2011 USACE – Riverine – LIDAR LIDAR has been collected along the following rivers in Nebraska: the Missouri, the Elkhorn, and the Platte. The projects were funded by the United States Army Corps of Engineers with the purpose of assessing damages from inundations. Please see the Index below for exact LiDAR locations.

Vertical accuracy of the three datasets range from RMSE=18.5cm (Accuracyz=0.36m at 95% confidence level) to .14 feet RMSEz. Horizontal accuracy vary from 0.6m RMSE (Accuracy=1.04m at the 95% confidence level) to 1.25 feet RMSEr. Please check the below listed metadata per riverine dataset for accuracy specifications. Points were classified in the following classes:

Class 1- Unclassified

Class 2- Ground

Class 7- Low point and noise

Class 8- Model Keypoints (masspoints)

Class 9- Water

Class 12- Points removed due to redundancy

Generally speaking nominal pulse spacing ranged from 1.4 meters to 5 feet in LiDAR grids provided by the LiDAR Vendors. The grids below are provided in coordinate system Nebraska State Plane Feet, 6 feet cell size. Additional data formats such as LAS point clouds, contours, orthophotos, hillshades, and hydro break lines are also available by contacting NDNR directly. *These are often large datasets and will require at least a 500Gb hard drive to transfer data; please plan appropriately.

Missouri River - USACE 2011 shapefile index has invalid coordinates.

 
2012 NRCS

1205 square miles of LiDAR and Digital Imagery 2 meter GSD LiDAR 1' pixel imagery to be collected and processed by Pixxures Develop bare-earth digital surface model (DSM) from LIDAR data Bare-earth DSM delivered in 3 formats (see deliverable list) Tiling scheme to be developed by Merrick. Breaklines will be captured to develop a digital terrain model (DTM) Discrete spot elevations to collected. Interpolate two-foot (2') contours from DSM Contours and DTM delivered in Microstation V8i Select Series format All data to meet ASPRS Class 2 specifications for 1"=200' scale products. Final 1' color orthos delivered in GeoTIFF format Ground control provided by Midland.