Product: Processed, classified lidar point cloud data tiles in LAS 1.4 format.

Geographic Extent: Approximately 12,808.6 square miles across northern Ohio OH_Statewide_Phase1_1 - Work Unit 182846 (Blocks 1 and 10) approximately 1369 and 732 square miles OH_Statewide_Phase1_2 - Work Unit 198017 (Blocks 11 and 12) approximately 793 and 849 square miles OH_Statewide_Phase1_3 - Work Uni...

Product: Processed, classified lidar point cloud data tiles in LAS 1.4 format. Geographic Extent: Approximately 12,101 square miles in southern Ohio Dataset Description: The OH Statewide Phase 2 2020 B20 lidar project called for the planning, acquisition, processing, and production of derivative products of QL1 lidar data to be collected at a nominal pulse spacing (NPS) of 0.35 meters. Projec...

This task is for a high-resolution data set of lidar covering the entire Wood County area (+/- 621.4 sq. mi). The lidar was collected and processed to meet a maximum Nominal Post Spacing (NPS) of 0.25 meter (16ppsm). Lidar data is a remotely sensed high resolution elevation data collected by a Leica City Mapper digital sensor active scanning (lidar) sensor. Lidar was collected on March 21 2022, and March 22, 2022 while no snow was on the ground, leaf-off and rivers were at or below normal levels. The lidar systems collect data point clouds that are used to produce highly detailed Digital Elevation Models (DEMs) of the earth's terrain, man-made structures, and vegetation. The data was developed based on a horizontal datum/projection of NAD 83(HARN) State Plane Ohio North FIPS 3401 and a vertical datum of NAVD88 in units of US Survey Feet. Lidar data was delivered as processed LAS version 1.4 files formatted to 11,524 individual 1,250' x 1,250' tiles. This dataset was downloaded by the NOAA Office for Coastal Management (OCM) from the Ohio Geographically Referenced Information Program (OGRIP) to make the data available for bulk and custom downloads from the NOAA Digital Coast Data Access Viewer.

In the Spring of 2023, Greene County obtained new orthoimagery covering the entire county (+/- 416 sq. mi). The aerial imagery was collected during leaf-off conditions with a 6-inch pixel resolution. Imagery was collected with the Leica ADS100 Airborne Digital Sensor. Along the perimeter of the project area, ortho-imagery is buffered at 100-feet. Existing ground control and lidar data will be utilized to provide the County the most economical product. The orthos are delivered as a countywide dataset, consisting of 2,500' x 2,500' uncompressed 8-bit, 4-band color GeoTIFF files. The file naming convention is as follows: sxxxxyyyy (Ohio South Zone); Please note that xxxx and yyyy represent the easting and northing coordinates (respectively) in state plane feet. Each GeoTIFF ortho file is approximately 100 megabytes in size. Additional deliverables include countywide color and color infrared MrSID (Multi resolution Seamless Image Database) images (20x and 100x compressions), tile index provided in ESRI shapefile format, and file level (USGS parser compliantand) metadata. Ownership of the data products resides with Greene County and the state of Ohio. Orthoimagery and ancillary data products produced through this contract are public domain data.

Original Product: 1-meter bare-earth raster digital elevation model (DEM) data tiles in ERDAS IMG format.

Original Dataset Geographic Extent: Covers approximately 439 square miles across Delaware County.

Original Dataset Description: The OH Clinton Delaware 2018 B18 lidar project called for the planning, acquisition, processing, and production of derivative products of lidar data to be co...

JALBTCX National Coastal Mapping Program Derived ProductsThe layers depicted in this web map were developed to serve regional geospatial data needs of USACE Districts and agency partners to discover and download products derived from USACE National Coastal Mapping Program (NCMP) high resolution, topo-bathymetric lidar and imagery. The USACE NCMP acquires high-resolution, high-accuracy topographic/bathymetric lidar elevation and imagery on a recurring basis along the sandy shorelines of the US. The program's survey footprint includes an approximately 1-mile wide swath of topography, bathymetry and imagery 500-m onshore and 1000-m offshore. The standard suite of NCMP data products include topographic/bathymetric lidar point clouds, digital surface and elevation models, shoreline vectors and both true-color and hyperspectral imagery mosaics. Value-added derivative information products may include laser reflectance images, landcover classification images, volume change metrics, and the products to help address District project requirements. USACE Headquarters initiated the NCMP in 2004. The program's update cycle follows counter-clockwise along the US West Coast, Gulf Coast, East Coast and Great Lakes approximately every 5 years. Surveys in support of USACE project-specific missions and external partners are included constituent to the current NCMP schedule and reimbursable funding. All work is coordinated with Federal mapping partners through the Interagency Working Group on Ocean and Coastal Mapping (IWGOCM) and the 3D Elevation Program (3DEP).NCMP operations are executed by the Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX). The JALBTCX mission is to perform operations, research and development in airborne lidar bathymetry and complementary technologies to support the coastal mapping and charting requirements of the US Army Corps of Engineers, the US Naval Meteorology and Oceanography Command and the National Oceanic and Atmospheric Administration. Survey operations are conducted worldwide using the Coastal Zone Mapping and Imaging (CZMIL) system and other industry-based coastal mapping and charting systems. CZMIL is JALBTCX's in-house survey capability that includes and Optech International, CZMIL 03-1 lidar instrument with simultaneous topographic and bathymetric capabilities. CZMIL is integrated with an Itres CASI-1500 hyperspectral imager and an 80 MP Leica RCD30 RGBN camera. CZMIL collects 10-kHz lidar data with spatially- and temporally-concurrent digital true-color and hyperspectral imagery.The Wetlands Classification Image Service layer can be accessed directly here: https://arcgis.usacegis.com/arcgis/rest/services/ERDC/ERDC_Wetlands_Classification/ImageServer

The 2006 OSIP digital LiDAR data was collected during the months of March and May (leaf-off conditions). The LiDAR covers the entire land area of the northern tier of Ohio (approximately 23,442 square miles. The LiDAR is delivered in county sets, consisting of 5,000' x 5,000' size tiles. Where the State borders other states (land only), the entire border of the State is buffered by at least 1,000-feet. Along the Lake Erie Shoreline ortho coverage is buffered beyond the shoreline a minimum distance of 2,500-feet. Adjacent flight lines overlap by an average of 30 percent. LiDAR was collected with Leica ALS50 digital LiDAR Systems. The file naming convention is as follows: Nxxxxyyy = 5,000' x 5,000' LiDAR Tiles located in the Ohio State Plane Coordinate System (North Zone). Sxxxxyyy = 5,000' x 5,000' LiDAR Tiles located in the Ohio State Plane Coordinate System (South Zone). Please note that xxxx and yyy represent the easting and northing coordinates (respectively) in state plane feet, The naming convention for each LiDAR tile is based upon (the bottom most-left pixel). The LiDAR was provided in LAS Format containing the above ground and bare-earth LiDAR features. Ownership of the data products resides with the State of Ohio. Orthophotography and ancillary data products produced through this contract are public domain data. LiDAR was acquired Statewide to provide a solid and very accurate base to use during the image rectification process. This same LiDAR can be supplemented with 3D breaklines to generate 2-foot and/or 4/5-foot contours. The average post spacing between LiDAR points is 7-feet. The flying altitude was 7,300-feet AMT, with the targeted flying speed at 170 knots.

Original Dataset: This task is for a high-resolution data set of lidar covering the entire Lucas County area (+/- 347.1 sq. mi). The lidar was collected and processed to meet a maximum Nominal Post Spacing (NPS) of 0.25 meter (16ppsm). Lidar data is a remotely sensed high resolution elevation data collected by a Leica CityMapper digital sensor active scanning (lidar) sensor. Lidar was collected...

Contours created for ArcGIS Online usage. Contours created using LIDAR from 2008 Ohio State Imagery Program converted to 2.5-ft pixel digital elevation modal. These contours DO NOT MEET any standards, just for reference only. One Foot Contours created by Pickaway County GIS Dept using 2008 Ohio Statewide Imagery Program (OSIP) LIDAR 2.5 - foot Pixal Digital Elevation Modal) DEM Data.T5 is for general viewing, T5 has more detail then T3 or T! but good references.Perform of the layer in the map will take longer do to the file size and more details of the contour line.THESE CONTOURS ARE FOR REFERENCE ONLY AND DOES NOT MEET ANY NATIONAL STANDARDSFor further questions contact Pickaway County GIS Dept 740-474-5823 or email jgillow@pickaway.org

This data set consists of land cover derived from high resolution orthoimagery, LiDAR data and ancillary data sources such as SSURGO and National Wetlands Inventory, and was analyzed according to the Coastal Change Analysis Program (C-CAP) protocol. This data set was developed through a collaboration between the Old Woman Creek, Ohio, National Estuarine Research Reserve and the NOAA Office for Coastal Management.

These data were created as part of the National Oceanic and Atmospheric Administration Office for Coastal Management's efforts to create an online mapping viewer called the NOAA Lake Level Viewer. It depicts potential lake level rise and fall and its associated impacts on the nation's coastal areas. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at lake level change, coastal flooding impacts, and exposed lakeshore. The viewer is a screening-level tool that uses nationally consistent data sets and analyses. Data and maps provided can be used at several scales to help gauge trends and prioritize actions for different scenarios. The NOAA Lake Level Viewer may be accessed at: https://coast.noaa.gov/llv. This metadata record describes the Lake Erie digital elevation model (DEM), which is a part of a series of DEMs produced for the National Oceanic and Atmospheric Administration Office for Coastal Management's Lake Level Viewer described above. This DEM includes the best available lidar and US Army Corps of Engineer dredge survey data known to exist at the time of DEM creation that met project specifications. This DEM includes data for Monroe and Wayne Counties in Michigan; Chautauqua and Erie Counties in New York; Ashtabula, Cuyahoga, Erie, Lake, Lorain, Lucas, Ottawa, Sandusky, and Wood Counties in Ohio; and Erie County in Pennsylvania. The DEM was produced from the following lidar data sets: 1. 2011 - 2012 USACE NCMP Topobathy Lidar: Lake Erie (MI, NY, OH, PA) 2. 2011 USACE NCMP Topobathy Lidar: MI/NY Great Lakes 3. 2008 FEMA Lidar: Erie County, NY 4. 2007 USACE NCMP Topobathy Lidar: Lake Erie (Erie County, PA) and Lake Michigan (Manitou Islands) (MI, PA) 5. 2007 USACE NCMP Topobathy Lidar: Lake Erie (NY Shoreline) 6. 2006 USACE NCMP Topobathy Lidar: Lake Erie (OH, PA), Lake Huron (MI) and Lake Michigan (Porter County, IN) 7. 2007 Pennsylvania Department of Conservation and Natural Resources (PA DCNR) Statewide Lidar 8. 2006 Ohio Statewide Imagery Program (OSIP) Lidar: North The DEM was produced from the following sonar data sets: 9. 2015 USACE Detroit District; Detroit River, MI; Livingstone Channel Reach 10. 2015 USACE Buffalo District, Ashtabula Harbor, OH 11. 2015 USACE Buffalo District, Erie Harbor, PA 12. 2015 USACE Buffalo District, Fairport Harbor, OH 13. 2015 USACE Buffalo District, Rocky River, OH 14. 2013 USACE Buffalo District; Buffalo Harbor, NY; Buffalo River and Ship Canal 15. 2014 USACE Detroit District, Point Mouillee, MI 16. 2014 USACE Buffalo District, Conneaut Harbor, OH 17. 2014 USACE Buffalo District, Dunkirk Harbor, NY 18. 2014 USACE Buffalo District, Niagara River, NY 19. 2014 USACE Buffalo District, Sandusky Harbor, OH The DEM is referenced vertically to the North American Vertical Datum of 1988 (NAVD88) with vertical units of meters and horizontally to the North American Datum of 1983 (NAD83). The resolution of the DEM is approximately 3 meters.

The contours were created using 3DEP LIDAR/ 1.25-ft pixel digital elevation modal from 2021 for Pickaway Co Area. 3DEP data was collected under a project by State of Ohio, Ohio Geographically Referenced Information Program (OGRIP), called 3D Elevation Program (3DEP) which was a collaboration between the state of Ohio and the U.S. Geological Survey (USGS) 3DEP LIDAR data was converted to 1.25-ft pixel digital elevation modal. These contours DO NOT MEET any standards, just for reference only. The contours created by Pickaway County GIS Dept using 2021 3D Elevation Program (3DEP) LIDAR/ 1.25 - foot Pixel Digital Elevation Modal) DEM Data. For information on State of Ohio 3DEP project go to: https://das.ohio.gov/technology-and-strategy/ogrip/projects/3depTHESE CONTOURS ARE FOR REFERENCE ONLY AND DOES NOT MEET ANY NATIONAL STANDARDS For further questions contact Pickaway County GIS Dept 740-474-5823 or email jgillow@pickawaypickawayohio.gov

The 2006 OSIP bare-earth Digital Elevation Model (DEM) was derived from digital LiDAR data was collected during the months of March and May (leaf-off conditions). The DEM data covers the entire land area of the northern tier of Ohio (approximately 23,442 square miles. The DEM is delivered in county sets, consisting of 5,000' x 5,000' size tiles that correspond to the tile sizes for the OSIP 1FT imagery products. Where the State borders other states (land only), the entire border of the State is buffered by at least 1,000-feet. Along the Lake Erie Shoreline ortho coverage is buffered beyond the shoreline a minimum distance of 2,500-feet. The file naming convention is as follows: Nxxxxyyy = 5,000' x 5,000' Tiles located in the Ohio State Plane Coordinate System (North Zone). Sxxxxyyy = 5,000' x 5,000' Tiles located in the Ohio State Plane Coordinate System (South Zone). Please note that xxxx and yyy represent the easting and northing coordinates (respectively) in state plane feet, The naming convention for each tile is based upon (the bottom most-left pixel). The full county mosaic is an aggregation of the tiles by county. The mosaic is devloped in the Ohio State Plane Coordinate System (North Zone).. The DEM tiles were provided in ESRI ArcINFO GRID raster and ASCII grid formats, with only the LiDAR in LAS Format containing the above ground and bare-earth LiDAR features. Ownership of the data products resides with the State of Ohio. Orthophotography and ancillary data products produced through this contract are public domain data. The LiDAR used to generate the DEM was acquired Statewide to provide a solid and very accurate base to use during the image rectification process. This same LiDAR can be supplemented with 3D breaklines to generate 2-foot and/or 4/5-foot contours. The average post spacing between LiDAR points is 7-feet. The flying altitude was 7,300-feet AMT, with the targeted flying speed at 170 knots.

2022 Greene County Digital Orthoimagery Project - In the Spring of 2022 Greene County obtained new aerial LiDAR covering the entire county (+/- 416 sq. miles). The aerial LiDAR was acquired at a point density average of 1-meter with products including LAS (ground and above ground points), ESRI Raster and ASCII (both of which are ground only points). The aerial LiDAR was collected during leaf-off conditions during the spring 2022 flying season (March-April). The LiDAR is being delivered as a countywide dataset, consisting of 2,500' x 2,500' tiles (which matches the ortho tiling system). Along the perimeter of the project area, LiDAR is buffered at 100-feet beyond the countyline. Adjacent flight lines overlap by an average of 30 percent. LiDAR was collected with Leica ALS LiDAR System. The file naming convention is as follows: asxxxyyy (Ohio South Zone); Please note that xxx and yyy represent the easting and northing coordinates (respectively) in state plane feet. Each LiDAR file is approximately 10-20 megabytes in size. Ownership of the data products resides with Greene County and the state of Ohio. LiDAR and ancillary data products produced through this contract are public domain data.

description: The counties comprised in this dataset have been chosen based on the relation to the Maumee River basin, a portion of the Lake Erie basin and correlated with the northwestern counties in Ohio which form composite continuous lidar data for the Lake Erie basin and the Great Lakes basin system. The Indiana Statewide Imagery and LiDAR project includes data captured at the following specifications: This project is comprised of Wells and Adams counties collected in 2012, as part of Area 2; Noble, DeKalb and Steuben counties collected in 2010; Allen county collected in 2009.; abstract: The counties comprised in this dataset have been chosen based on the relation to the Maumee River basin, a portion of the Lake Erie basin and correlated with the northwestern counties in Ohio which form composite continuous lidar data for the Lake Erie basin and the Great Lakes basin system. The Indiana Statewide Imagery and LiDAR project includes data captured at the following specifications: This project is comprised of Wells and Adams counties collected in 2012, as part of Area 2; Noble, DeKalb and Steuben counties collected in 2010; Allen county collected in 2009.

Original Product: 1.25 US Foot bare-earth raster digital elevation model (DEM) data tiles in GeoTIFF format.

Original Geographic Extent: This dataset covers the following areas in Ohio: OH_StatewideP3_1_B21 (Work Unit 222525) covers approximately 2317 square miles in these counties: Darke, Miami, Montgomery, Clark, Madison OH_StatewideP3_2_B21 (Work Unit 300165) covers approximately 2026...

Indiana's Statewide Lidar data is produced at 1.5-meter average post spacing for all 92 Indiana Counties covering more than 36,420 square miles. New Lidar data was captured except where previously captured Lidar data exists, or the participating County bought-up to a higher resolution of 1.0-meter average post spacing Lidar data. Existing Lidar data exists for: Porter, Steuben, Noble, De Kalb, Allen, Madison, Delaware, Hendricks, Marion, Hancock, Morgan, Johnson, Shelby, Monroe, and portions of Vermillion, Parke, Vigo, Clay, Sullivan, Knox, Gibson, and Posey. These existing Lidar datasets were seamlessly integrated into this new statewide dataset. From this seamless Lidar product a statewide 5-foot post spacing hydro-flattened DEM product was created and is also available. See the FGDC Metadata provided for more details. This statewide project is divided into three geographic areas captured over a 3-year period (2011-2013):Area 1 (2011) Indiana central counties: St. Joseph, Elkhart, Starke, Marshall, Kosciusko, Pulaski, Fulton, Cass, Miami, Wabash, Carroll, Howard, Clinton, Tipton, Boone, Hendricks, Marion, Morgan, Johnson, Monroe, Brown, Bartholomew, Lawrence, Jackson, Orange, Washington, Crawford, and Harrison. Area 2 (2012) Indiana eastern counties: LaGrange, Steuben, Noble, DeKalb, Whitley, Allen, Huntington, Wells, Adams, Grant, Blackford, Jay, Hamilton, Madison, Delaware, Randolph, Hancock, Henry, Wayne, Shelby, Rush, Fayette, Union, Decatur, Franklin, Jennings, Ripley, Dearborn, Ohio, Scott, Jefferson, Switzerland, Clark, and Floyd. Area 3 (2013) Indiana western counties: Lake, Porter, LaPorte, Newton, Jasper, Benton, White, Warren, Tippecanoe, Fountain, Montgomery, Vermillion, Parke, Putnam, Vigo, Clay, Owen, Sullivan, Greene, Knox, Daviess, Martin, Gibson, Pike, Dubois, Posey, Vanderburgh, Warrick, Spencer, and Perry.Funders of OpenTopography Hosting of the Indiana Statewide Lidar and DEM data: USDA NRCS, Indiana, ISPLS Foundation, Indiana Geographic Information Office, Indiana Office of Technology, Indiana Geological Survey, Surdex Corporation, Vectren Energy Delivery, Indiana, Woolpert, Inc., and Individual IGIC Member Donations from Jim Stout, Jeff McCann, Cele Morris, Becky McKinley, Phil Worrall, and Andy Nicholson.

This lidar dataset was collected as part of an NCALM Seed grant for Christian Roumelis at the Ohio State University. This dataset was collected to help understand the interactions between log jams, stream morphology, and groundwater in a partially burned mountain watershed. Data was collected over the Fort Collins/Loveland, Colorado area. Publications associated with this dataset can be found at NCALM's Data Tracking Center.

Link to the ScienceBase Item Summary page for the item described by this metadata record. Service Protocol: Link to the ScienceBase Item Summary page for the item described by this metadata record. Application Profile: Web Browser. Link Function: information

In the Summer of 2022, Greene County obtained new orthoimagery covering the entire county (+/- 416 sq. mi). The aerial imagery was collected during leaf-on conditions with a 6-inch pixel resolution. Imagery was collected with the Leica ADS100 Airborne Digital Sensor. Along the perimeter of the project area, ortho-imagery is buffered at 100-feet. Existing ground control and lidar data will be utilized to provide the County the most economical product. The orthos are delivered as a countywide dataset, consisting of 2,500' x 2,500' uncompressed 8-bit, 4-band color GeoTIFF files. The file naming convention is as follows: sxxxxyyyy (Ohio South Zone); Please note that xxxx and yyyy represent the easting and northing coordinates (respectively) in state plane feet. Each GeoTIFF ortho file is approximately 100 megabytes in size. Additional deliverables include countywide color and color infrared MrSID (Multi resolution Seamless Image Database) images (20x and 100x compressions), tile index provided in ESRI shapefile format, and file level (USGS parser compliantand) metadata. Ownership of the data products resides with Greene County and the state of Ohio. Orthoimagery and ancillary data products produced through this contract are public domain data.