2016 - 2017 FEMA Lidar: Franklin and St. Lawrence Counties and Oneida Sub-Basin, NY

Welcome Guest   ( Sign In )
NOAA
Product: These lidar data are processed classified LAS 1.4 files, formatted to 4,597 (Franklin and St. Lawrence) and1351 (Oneida Sub-Basin) individual 1,500-meter x 1,500-meter tiles; used to create intensity images, 3D breaklines, hydro-flattened DEMs, and contours as necessary. Geographic Extent: Seven counties in New York. East Zone AOI is Franklin and St. Lawrence Counties, Central Zone AOI is Lewis, Madison, Oneida, Onondaga, and Oswego Counties. Dataset Description: New York FEMA 2016 QL2 Lidar project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.7 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.2. Lidar data was delivered as flightline-extent unclassified LAS swaths, as processed classified LAS 1.4 files formatted to 4,597 individual 1,500-meter x 1,500-meter tiles, as tiled intensity imagery, and as tiled bare earth DEMs; all tiled to the same 1,500-meter x 1,500-meter schema. Continuous breaklines were produced in Esri file geodatabase format. Contours with a 1-foot interval were produced in Esri file geodatabase format, tiled to the same 1,500-meter x 1,500-meter schema. Ground Conditions: Lidar was collected in winter/spring of 2016/2017, while no snow was on the ground and rivers were at or below normal levels. In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Quantum Spatial, Inc. established a total of 76 ground control points that were used to calibrate the lidar to known ground locations established throughout the New York East Zone (Franklin and St. Lawrence Counties) project area. An additional 71 independent accuracy checkpoints, 71 in Bare Earth and Urban landcovers (59 NVA points), 59 in Forested, Brushland/Trees, and Tall Weeds/Crops categories (59 VVA points), were used to assess the vertical accuracy of the data. Quantum Spatial, Inc. established a total of 30 ground control points that were used to calibrate the lidar to known ground locations established throughout the New York Central Zone (Lewis, Madison, Oneida, Onondaga, and Oswego Counties) project area. An additional 64 independent accuracy checkpoints, 41 in Bare Earth and Urban landcovers (41NVA points), 23 in Forested, Brushland/Trees, and Tall Weeds/Crops categories (25 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data. The NOAA Office for Coastal Management (OCM) downloaded the 4597 las files from the New York State GIS site. The data for Frankin and St. Lawrence Counties were downloaded from this URL: ftp://ftp.gis.ny.gov/elevation/LIDAR/FEMA_FranklinStLawrence2016/. The data for the Oneida Sub-Basin area (1351 laz files) were downloaded from the USGS ftp site: ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/USGS_LPC_NY_FEMA_R2_B1_2016_LAS_2018/laz/. The data were processed to the Data Access Viewer (DAV) and https. In addition to these lidar point data, the hydro breaklines and the bare earth Digital Elevation Models (DEM) created from the lidar point data are also available. These data are available for custom download at the link provided in the URL section of this metadata record. This data set is an LAZ (compressed LAS) format file containing LIDAR point cloud data.
Select area of data to download or process  
  Usage Heat Map
 

Access to this dataset is currently limited to:
  • US academic community (with valid .edu addresses). Please log in to access these data.
  • K-12 teachers, international academics, and informal educators by application
  • OpenTopography+ members. Learn more about OT+

OpenTopography offers numerous other datasets that are free to access and use: select the OpenTopography, Community Dataspace, or Global & Regional DEMs on the Find Data map or Data Catalog.