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Mississippi LiDAR

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Source: Mississippi Geospatial Clearinghouse
Updated: 1/8/2015
Records: 27,000+
This layer represents the polygonal grids for available LiDAR data from the State of Mississippi. When the user selects a tile, the pop-up bubble will show URLs linking to ZIP files and metadata.  There are three main project areas outlined below. 
 

Data Info

MS River Delta

LiDAR collected at 1.0 points per square meter (1.0m GSD) for the entire portion of the Mississippi River Delta in the Vicksburg District. This area was flown during snow free and leaf-off conditions.

Beginning date: 20090219

Ending date: 20100802

Attribute accuracy report: The project area requires LiDAR to be collected on average of 1.0 meter point spacing or better and vertical accuracy of 15.0 centimeters RMSE or better to support 2' contour generation when combined with breaklines.

Vertical accuracy report: Deliverables were tested by both Photo Science for both vertical and horizontal accuracy. All data are seamless from one tile to the next, no gaps or no-data areas exists. The vertical unit of the data file is in survey feet with 2-decimal point precision. Vertical positional accuracy assessment: 0.09m RMSE

Camp Shelby

The post-spacing for this project is 3-meter. This project was broken into 3 parts, Acquisition, Part A Processing, and Part B Processing. Acquisition was tasked by Mississippi Geographic Information, LLC (MGI); Work Order No. ED-5. Part A Processing was tasked by MGI; Work Order No. ED-7. Part B Processing was tasked by MGI; Work Order No. ED-8. EarthData International, Inc. (EarthData) is a member of MGI and was authorized to undertake this project in accordance with the terms and conditions of the Professional Services Agreement between MGI and the Mississippi Department of Environmental Quality (MDEQ), dated February 17, 2004, and in accordance with MGI Task Order No. 18a. This project is being delivered to the City of Hattiesburg, Camp Shelby, USGS, and MDEQ.

Attribute accuracy report: Airborne lidar data was acquired at an altitude of 8,000 ft (2,438 m) above mean terrain with a swath width of 5,823.57 ft (1,775.03 m), which yields an average post spacing of lidar points of no greater than 9.84 ft (3 m). The project was designed to achieve a vertical accuracy of the lidar points at 7.28 in (18.5 cm) root mean square error (RMSE).

Horizontal accuracy report: The lidar data fully comply with FEMA guidance as published in Appendix A, April, 2003.

Vertical accuracy report: The lidar data fully comply with FEMA guidance as published in Appendix A, April 2003. When compared to GPS survey grade points in generally flat non-vegetated areas, at least 95% of the positions have an error less than or equal to 37 cm (equivalent to rootmean square error of 18.5 cm if errors were normally distributed).

Hinds County

The post-spacing for this project is 4-meter. This project was tasked by Mississippi Geographic Information, LLC (MGI); Work Order No. ED-6. EarthData International, Inc. is a member of MGI and was authorized to undertake this project in accordance with the terms and conditions of the Professional Services Agreement between MGI and the Mississippi Department of Environmental Quality (MDEQ), dated February 17, 2004, and in accordance with MGI Task Order No. 18a.

Attribute accuracy report: Airborne lidar data was acquired at an altitude of 9,500' (2896 m) above mean terrain with a swath width of 7870.12 ft (2398.82 m), which yields an average post spacing of lidar points of no greater than 13.12 ft (4 m). The project was designed to achieve a vertical accuracy of the lidar points at 7.28 in (18.5 cm) root mean square error (RMSE).

Horizontal accuracy report: The lidar data fully comply with FEMA guidance as published in Appendix A, April, 2003.

Vertical accuracy report: The lidar data fully comply with FEMA guidance as published in Appendix A, April 2003. When compared to GPS survey grade points in generally flat non-vegetated areas, at least 95% of the positions have an error less than or equal to 37 cm (equivalent to root mean square error of 18.5 cm if errors were normally distributed).