Caroline/MD_caroline_aspect

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Service Description: These lidar data are processed Quality Level 1 (QL1) Bare-Earth DEM files, formatted to formatted to 2211 individual 1800 m x 1200 m tiles at 0.5 meter resolution. Geographic Extent: Geographic Extent: Four counties of Maryland, including Kent, Talbot, Caroline, and Dorchester counties. Dataset Description: The Delaware 2023, Work Unit 300433 Lidar project called for the Planning, Acquisition, processing and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.35 meters for QL1 data. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification 2023, revision A. The data was developed based on a horizontal projection/datum of NAD83 (2011), State Plane Maryland FIPS 1900, meters and vertical datum of NAVD88 (GEOID18), meters. Lidar data was delivered as processed Classified LAS 1.4 files, formatted to 4791 individual formatted to 2211 individual 1800 m x 1200 m tiles and as tiled bare earth DEMs; all tiled to the same 1800 m x 1200 m schema. Ground Conditions: Lidar was collected in the spring 2023, while no snow was on the ground and waterways were at low tide. In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, a total of 197 checkpoints were used to calibrate the lidar to known ground locations established throughout the project area. A total of 110 Non-Vegetated Vertical Accuracy (NVA) points were used. A total of 87 Vegetated Vertical Accuracy (VVA) points were used. These checkpoints were not used to calibrate or post process the data. DEM tiles in this collection have been hydro-flattened using breaklines with a downstream constraint rather than assigning a single flat elevation across the river. This process can cause slight variations in river elevations which are not easily detected when inspecting the DEM. Those variations however can become amplified in slope and aspect products and result in artifacts such as a tinning effect in the water. These artifacts are expected and not considered errors in the data.

Name: Caroline/MD_caroline_aspect_m

Description: These lidar data are processed Quality Level 1 (QL1) Bare-Earth DEM files, formatted to formatted to 2211 individual 1800 m x 1200 m tiles at 0.5 meter resolution. Geographic Extent: Geographic Extent: Four counties of Maryland, including Kent, Talbot, Caroline, and Dorchester counties. Dataset Description: The Delaware 2023, Work Unit 300433 Lidar project called for the Planning, Acquisition, processing and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.35 meters for QL1 data. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification 2023, revision A. The data was developed based on a horizontal projection/datum of NAD83 (2011), State Plane Maryland FIPS 1900, meters and vertical datum of NAVD88 (GEOID18), meters. Lidar data was delivered as processed Classified LAS 1.4 files, formatted to 4791 individual formatted to 2211 individual 1800 m x 1200 m tiles and as tiled bare earth DEMs; all tiled to the same 1800 m x 1200 m schema. Ground Conditions: Lidar was collected in the spring 2023, while no snow was on the ground and waterways were at low tide. In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, a total of 197 checkpoints were used to calibrate the lidar to known ground locations established throughout the project area. A total of 110 Non-Vegetated Vertical Accuracy (NVA) points were used. A total of 87 Vegetated Vertical Accuracy (VVA) points were used. These checkpoints were not used to calibrate or post process the data. DEM tiles in this collection have been hydro-flattened using breaklines with a downstream constraint rather than assigning a single flat elevation across the river. This process can cause slight variations in river elevations which are not easily detected when inspecting the DEM. Those variations however can become amplified in slope and aspect products and result in artifacts such as a tinning effect in the water. These artifacts are expected and not considered errors in the data.

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Caroline/MD_caroline_aspect_m (ImageServer)