The Experts below are selected from a list of 192 Experts worldwide ranked by ideXlab platform

Tomislav Hengl - One of the best experts on this subject based on the ideXlab platform.

  • Soil organic carbon stock (0–30 cm) in kg/m2 time-series 2001–2015 based on the land cover changes
    2019
    Co-Authors: Ichsani Wheeler, Tomislav Hengl
    Abstract:

    Estimated SOC loss based on the European Space Agency (ESA) Climate Change Initiative (ESACCI-LC) land cover maps 2001–2015. This only shows estimated SOC loss (in kg/m2) as a result of change in land use / land cover (assuming standard change factors based on the literature and IPCC reports). Methodology produced for the purpose of the Land Degradation Neutrality (UNCCD) project. Processing steps are described in detail here. Antartica is not included. To access and visualize maps use: https://landgis.opengeohub.org All Files internally compressed using "COMPRESS=DEFLATE" creation option in GDAL. File Naming Convention: sol = theme: soil, organic.carbon.stock = variable: soil organic carbon stock in kg/m2, msa.kgm2 = determination method: derived from carbon content, bulk density and coarse fragments, m = mean value, 250m = spatial resolution / block support: 250 m, b0..30cm = vertical reference: standard layer 0-30 cm below surface, 2014 = time reference: year 2014, v0.2 = version number: 0.2,

  • Predicted USDA soil orders at 250 m (probabilities)
    2019
    Co-Authors: Tomislav Hengl, Travis Nauman
    Abstract:

    Distribution of the USDA orders (12) based on machine learning predictions of great groups (https://doi.org/10.5281/zenodo.1476844) from global compilation of soil proFiles. To learn more about soil orders and great groups please refer to the Illustrated Guide to Soil Taxonomy - NRCS - USDA. Processing steps are described in detail here. Antartica is not included. To access and visualize maps use: https://landgis.opengeohub.org If you discover a bug, artifact or inconsistency in the LandGIS maps, or if you have a question please use some of the following channels: Technical issues and questions about the code: https://github.com/Envirometrix/LandGISmaps/issues  General questions and comments: https://disqus.com/home/forums/landgis/ All Files internally compressed using "COMPRESS=DEFLATE" creation option in GDAL. File Naming Convention: sol = theme: soil, order = variable: USDA order, usda.histosols = determination method: USDA soil taxonomy class Histosols, p = probability, 250m = spatial resolution / block support: 250 m, s0..0cm = vertical reference: soil surface, 1950..2017 = time reference: period 1950-2017, v0.1 = version number: 0.1,

  • Monthly precipitation in mm at 1 km resolution based on SM2RAIN-ASCAT 2007-2018
    2019
    Co-Authors: Tomislav Hengl
    Abstract:

    Monthly precipitation in mm based on SM2RAIN-ASCAT 2007-2018 (https://doi.org/10.5281/zenodo.2615278). Downscaled to 1 km resolution using gdalwarp (cubic splines) and an average between WorldClim (http://biogeo.ucdavis.edu/data/worldclim/v2.0/), CHELSA Climate (https://www.wsl.ch/lud/chelsa/data/climatologies/prec/) and IMERGE monthly product (ftp://jsimpson.pps.eosdis.nasa.gov/NRTPUB/imerg/gis/ see Files e.g. "3B-MO-L.GIS.IMERG.20180601.V05B.tif"). Processing steps are available here. Antartica is not included. To access and visualize maps use: https://landgis.opengeohub.org If you discover a bug, artifact or inconsistency in the LandGIS maps, or if you have a question please use some of the following channels: Technical issues and questions about the code: https://github.com/Envirometrix/LandGISmaps/issues  General questions and comments: https://disqus.com/home/forums/landgis/ All Files internally compressed using "COMPRESS=DEFLATE" creation option in GDAL. File Naming Convention: clm = theme: climate, precipitation = variable: precipitation, sm2rain.oct = determination method: SM2RAIN-ASCAT long-term average values for October, m = mean value, 1km = spatial resolution / block support: 1 km, s0..0cm = vertical reference: land surface, 2007..2018 = time reference: from 2007 to 2018, v0.2 = version number: 0.2,

  • Global landform and lithology class at 250 m based on the USGS global ecosystem map
    2018
    Co-Authors: Tomislav Hengl
    Abstract:

    Layers include: lithology (15) and landform (7) indicator maps (0-100%). Derived from the USGS Global Ecosystem Map, i.e. the EcoTapestry map. Water bodies masked out. Antartica is not included. All Files internally compressed using "COMPRESS=DEFLATE" creation option in GDAL. File Naming Convention: dtm = theme: digital terrain models / relief and soil, lithology = variable: lithological class, usgs.ecotapestry = determination method: USGS Global Ecosystem Map, p = probability 0-100%, 250m = spatial resolution / block support: 1 km, s0..0cm = vertical reference: land surface, 2014 = time reference: year 2014, v1.0 = version number: 1.0,

  • Tree-covered and intact forest landscapes BC1000, 1995, 2000, 2005, 2010, 2013, 2016 at 250 m
    2018
    Co-Authors: Tomislav Hengl
    Abstract:

    Based on the UNEP historic forest cover map, ESA land cover time series and intact forest landscape (IFL 2000, 2013 and 2016) data. Processing steps are described in detail here. Antartica is not included. All Files internally compressed using "COMPRESS=DEFLATE" creation option in GDAL. File Naming Convention: ldg = theme: land degradation, forest.cover = variable: forest / tree cover, esacci.ifl = determination method: combination of ESA land cover and IFL maps, c = factor, 250m = spatial resolution / block support: 250 m, s0..0cm = vertical reference: land surface, 1995 = time reference: year 1995, v0.1 = version number: 0.1,

Ohio Geographically Referenced Information Program - One of the best experts on this subject based on the ideXlab platform.

  • 2006 OSIP OGRIP: Upland Counties LiDAR Survey
    downloadable data, 2016
    Co-Authors: Ohio Geographically Referenced Information Program
    Abstract:

    This data set is an LAZ (compressed LAS) format File containing LIDAR point cloud data. 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.

  • USGS High Resolution Orthoimagery for Dublin, Ohio: 17TLE150520_201303_0x0750m_4B_2
    downloadable data, 2014
    Co-Authors: Ohio Geographically Referenced Information Program
    Abstract:

    "2013 City of Dublin Digital Orthoimagery Project ? In the spring of 2013 City of Dublin obtained new orthoimagery covering the entire city service area (~105 square miles). Products produced were 4-band, 8-bit orthophotos with a 0.25-foot ground sample distance (GSD). The aerial imagery was collected during leaf-off conditions at a minimum resolution of 3-inch resolution. The orthos are delivered as a citywide dataset, consisting of 1,250' x 1,250' uncompressed 8-bit, 4-band color geotiff Files. Horizontal accuracy is based upon NMAS Standards for 1"=100' scale base mapping. All ortho tiles are full image tiles. Adjacent flight lines overlap by an average of 30 percent. Imagery was collected with Leica ADS80 digital cameras and rectified using LiDAR data. The File Naming Convention is as follows: bsxxxyyy (Ohio South Zone); Please note that xxx and yyy represent the easting and northing coordinates (respectively) in state plane feet. Each geotiff ortho File is approximately 100 megabytes in size. Ownership of the data products resides with the City of Dublin and the state of Ohio. Orthoimagery and ancillary data products produced through this contract are public domain data." An orthoimage is remotely sensed image data in which displacement of features in the image caused by terrain relief and sensor orientation have been mathematically removed. Orthoimagery combines the image characteristics of a photograph with the geometric qualities of a map. There is no image overlap between adjacent Files. Data received at Earth Resources Observation and Science Center (EROS) were reprojected from: Projection: NAD_1983_HARN_StatePlane_Ohio_South_FIPS_3402_Feet Resolution: 3 inch Type: 4 Band to: Standard Product Projection: NAD_1983_UTM_Zone_17N Standard Product Resolution: 0.0750 m Rows: 20000 Columns: 20000 and resampled to align to the U.S. National Grid (USNG) using The National Map. The Naming Convention is based on the U.S. National Grid (USNG), taking the coordinates of the SW corner of the orthoimage. The metadata were imported and updated for display through The National Map at http://nationalmap.gov/viewer.html Chip-level metadata are provided in HTML and XML format. Data were compressed utilizing IAS software. The compression was JPEG2000 Lossy Compressed. The File format created was .jp2.

  • USGS High Resolution Orthoimagery for Montgomery County, Ohio: 16SGK470190_201303_0x1500m_4B_1
    downloadable data, 2014
    Co-Authors: Ohio Geographically Referenced Information Program
    Abstract:

    "The 2013 Montgomery County Digital Orthoimagery Project - In the Spring of 2013, Montgomery County obtained new orthoimagery covering the entire county (+/- 464 sq. miles). Products produced were 4-band, 8-bit orthophotos with a 0.5-foot ground sample distance (GSD). The aerial imagery was collected during leaf-off conditions at a minimum resolution of 6-inch resolution. The orthos are delivered as a countywide dataset, consisting of 2,500' x 2,500' uncompressed 8-bit, 4-band color geotiff Files. Horizontal accuracy is based upon NMAS Standards for 1"=100' scale base mapping. Along the perimeter of the project area, ortho-imagery is buffered at 100-feet. Adjacent flight lines overlap by an average of 30 percent. Imagery was collected with Leica ADS80 digital cameras and rectified using LiDAR data. 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 geotiff ortho File is approximately 100 megabytes in size. Ownership of the data products resides with Montgomery County and the state of Ohio. Orthoimagery and ancillary data products produced through this contract are public domain data." An orthoimage is remotely sensed image data in which displacement of features in the image caused by terrain relief and sensor orientation have been mathematically removed. Orthoimagery combines the image characteristics of a photograph with the geometric qualities of a map. There is no image overlap between adjacent Files. Data received at Earth Resources Observation and Science Center (EROS) were reprojected from: Projection: NAD_1983_HARN_StatePlane_Ohio_South_FIPS_3402_Feet Resolution: 6 inch Type: 4 Band to: Standard Product Projection: NAD_1983_UTM_Zone_16N Standard Product Resolution: 0.1500 m Rows: 10000 Columns: 10000 and resampled to align to the U.S. National Grid (USNG) using The National Map. The Naming Convention is based on the U.S. National Grid (USNG), taking the coordinates of the SW corner of the orthoimage. The metadata were imported and updated for display through The National Map at http://nationalmap.gov/viewer.html Chip-level metadata are provided in HTML and XML format. Data were compressed utilizing IAS software. The compression was JPEG2000 Lossy Compressed. The File format created was .jp2.

  • USGS High Resolution Orthoimagery for Marion County, Ohio: 17TKE970985_201304_0x3000m_4B_1
    downloadable data, 2014
    Co-Authors: Ohio Geographically Referenced Information Program
    Abstract:

    "2013 OSIP Base Digital Orthoimagery Project - The 2013 OSIP digital orthoimagery was collected during the months of March and April (leaf-off conditions). Products produced were 4-band, 8-bit orthophotos with a 1.0-foot ground sample distance (GSD). The aerial imagery was collected during leaf-off conditions at a minimum resolution of 1.0-foot. The orthos are delivered as countywide datasets, consisting of 5,000' x 5,000' uncompressed 8-bit, 4-band color geotiff Files. Horizontal accuracy is based upon NMAS Standards for 1"=200' scale base mapping. Along the perimeter of the project area, ortho-imagery is buffered at 1,000-feet (state borders covered by land) and 2,500-feet along the Lake Erie Shoreline. Adjacent flight lines overlap by an average of 30 percent. Imagery was collected with Leica ADS80 digital cameras and rectified using LiDAR data. The File Naming Convention is as follows: sxxxxyyy (Ohio South Zone); Please note that xxxx and yyy represent the easting and northing coordinates (respectively) in state plane feet. The Naming Convention is based upon the previous OSIP project. Each geotiff ortho File is approximately 100 megabytes in size. Ownership of the data products resides with OGRIP and the state of Ohio. Orthoimagery 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." An orthoimage is remotely sensed image data in which displacement of features in the image caused by terrain relief and sensor orientation have been mathematically removed. Orthoimagery combines the image characteristics of a photograph with the geometric qualities of a map. There is no image overlap between adjacent Files. Data received at Earth Resources Observation and Science Center (EROS) were reprojected from: Projection: NAD_1983_StatePlane_Ohio_North_FIPS_3401_feet Resolution: 1 foot Type: 4 Band to: Standard Product Projection: NAD_1983_UTM_Zone_17N Standard Product Resolution: 0.3000 m Rows: 5000 Columns: 5000 and resampled to align to the U.S. National Grid (USNG) using The National Map. The Naming Convention is based on the U.S. National Grid (USNG), taking the coordinates of the SW corner of the orthoimage. The metadata were imported and updated for display through The National Map at http://nationalmap.gov/viewer.html Chip-level metadata are provided in HTML and XML format. Data were compressed utilizing IAS software. The compression was JPEG2000 Lossy Compressed. The File format created was .jp2.

  • USGS High Resolution Orthoimagery for Union County, Ohio: 17TLE090640_201304_0x3000m_4B_1
    downloadable data, 2014
    Co-Authors: Ohio Geographically Referenced Information Program
    Abstract:

    "2013 OSIP Base Digital Orthoimagery Project - The 2013 OSIP digital orthoimagery was collected during the months of March and April (leaf-off conditions). Products produced were 4-band, 8-bit orthophotos with a 1.0-foot ground sample distance (GSD). The aerial imagery was collected during leaf-off conditions at a minimum resolution of 1.0-foot. The orthos are delivered as countywide datasets, consisting of 5,000' x 5,000' uncompressed 8-bit, 4-band color geotiff Files. Horizontal accuracy is based upon NMAS Standards for 1"=200' scale base mapping. Along the perimeter of the project area, ortho-imagery is buffered at 1,000-feet (state borders covered by land) and 2,500-feet along the Lake Erie Shoreline. Adjacent flight lines overlap by an average of 30 percent. Imagery was collected with Leica ADS80 digital cameras and rectified using LiDAR data. The File Naming Convention is as follows: nxxxxyyy (Ohio North Zone); Please note that xxxx and yyy represent the easting and northing coordinates (respectively) in state plane feet. The Naming Convention is based upon the previous OSIP project. Each geotiff ortho File is approximately 100 megabytes in size. Ownership of the data products resides with OGRIP and the state of Ohio. Orthoimagery 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." An orthoimage is remotely sensed image data in which displacement of features in the image caused by terrain relief and sensor orientation have been mathematically removed. Orthoimagery combines the image characteristics of a photograph with the geometric qualities of a map. There is no image overlap between adjacent Files. Data received at Earth Resources Observation and Science Center (EROS) were reprojected from: Projection: NAD_1983_HARN_StatePlane_Ohio_North_FIPS_3401_Feet Resolution: 1 foot Type: 4 Band to: Standard Product Projection: NAD_1983_UTM_Zone_17N Standard Product Resolution: 0.3000 m Rows: 5000 Columns: 5000 and resampled to align to the U.S. National Grid (USNG) using The National Map. The Naming Convention is based on the U.S. National Grid (USNG), taking the coordinates of the SW corner of the orthoimage. The metadata were imported and updated for display through The National Map at http://nationalmap.gov/viewer.html Chip-level metadata are provided in HTML and XML format. Data were compressed utilizing IAS software. The compression was JPEG2000 Lossy Compressed. The File format created was .jp2.

Ichsani Wheeler - One of the best experts on this subject based on the ideXlab platform.

  • Soil organic carbon stock (0–30 cm) in kg/m2 time-series 2001–2015 based on the land cover changes
    2019
    Co-Authors: Ichsani Wheeler, Tomislav Hengl
    Abstract:

    Estimated SOC loss based on the European Space Agency (ESA) Climate Change Initiative (ESACCI-LC) land cover maps 2001–2015. This only shows estimated SOC loss (in kg/m2) as a result of change in land use / land cover (assuming standard change factors based on the literature and IPCC reports). Methodology produced for the purpose of the Land Degradation Neutrality (UNCCD) project. Processing steps are described in detail here. Antartica is not included. To access and visualize maps use: https://landgis.opengeohub.org All Files internally compressed using "COMPRESS=DEFLATE" creation option in GDAL. File Naming Convention: sol = theme: soil, organic.carbon.stock = variable: soil organic carbon stock in kg/m2, msa.kgm2 = determination method: derived from carbon content, bulk density and coarse fragments, m = mean value, 250m = spatial resolution / block support: 250 m, b0..30cm = vertical reference: standard layer 0-30 cm below surface, 2014 = time reference: year 2014, v0.2 = version number: 0.2,

  • Soil organic carbon content in x 5 g / kg at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution
    2018
    Co-Authors: Tomislav Hengl, Ichsani Wheeler
    Abstract:

    Soil organic carbon content in × 5 g / kg (to convert to % divide by 2) at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution. Predicted from a global compilation of soil points. Processing steps are described in detail here. Antartica is not included. All Files internally compressed using "COMPRESS=DEFLATE" creation option in GDAL. File Naming Convention: sol = theme: soil, organic.carbon = variable: soil organic carbon content in x 5 g / kg, usda.6a1c = determination method: laboratory method code, m = mean value, 250m = spatial resolution / block support: 250 m, b10..10cm = vertical reference: 10 cm depth below surface, 1950..2017 = time reference: period 1950-2017, v0.1 = version number: 0.1,

  • Soil organic carbon content in x 5 g / kg at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution
    2018
    Co-Authors: Tomislav Hengl, Ichsani Wheeler
    Abstract:

    Soil organic carbon content in × 5 g / kg (to convert to % divide by 2) at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution. Predicted from a global compilation of soil points. Processing steps are described in detail here. Antartica is not included. To access and visualize maps use: https://landgis.opengeohub.org All Files internally compressed using "COMPRESS=DEFLATE" creation option in GDAL. File Naming Convention: sol = theme: soil, organic.carbon = variable: soil organic carbon content in x 5 g / kg, usda.6a1c = determination method: laboratory method code, m = mean value, 250m = spatial resolution / block support: 250 m, b10..10cm = vertical reference: 10 cm depth below surface, 1950..2017 = time reference: period 1950-2017, v0.2 = version number: 0.2,

  • Soil organic carbon stock (0–30 cm) in kg/m2 time-series 2001–2015 based on the land cover changes
    2018
    Co-Authors: Ichsani Wheeler, Tomislav Hengl
    Abstract:

    Estimated SOC loss based on the European Space Agency (ESA) Climate Change Initiative (ESACCI-LC) land cover maps 2001–2015. This only shows estimated SOC loss (in kg/m2) as a result of change in land use / land cover (assuming standard change factors based on the literature and IPCC reports). Methodology produced for the purpose of the Land Degradation Neutrality (UNCCD) project. Processing steps are described in detail here. Antartica is not included. All Files internally compressed using "COMPRESS=DEFLATE" creation option in GDAL. File Naming Convention: sol = theme: soil, organic.carbon.stock = variable: soil organic carbon stock in kg/m2, msa.kgm2 = determination method: derived from carbon content, bulk density and coarse fragments, m = mean value, 250m = spatial resolution / block support: 250 m, b0..30cm = vertical reference: standard layer 0-30 cm below surface, 2014 = time reference: year 2014, v0.1 = version number: 0.1,

Dataviewer. - One of the best experts on this subject based on the ideXlab platform.

  • 2006 OSIP OGRIP Coastal Counties LiDAR Survey
    2018
    Co-Authors: At Https, Dataviewer.
    Abstract:

    This data set is an LAZ (compressed LAS) format File containing LIDAR point cloud data. 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 contact information: Contact Name: Jeff Smith Contact Org: State of Ohio, through the Office of Information Technology, Investment and Governance Division, for the Office of Information Technology, Services Delivery Division and the Ohio Geographically Referenced Information Program (OGRIP) Title: Project Administrator Phone: 614.466.4747 Email: gis.support@oit.ohio.gov

  • 2006 OSIP OGRIP: Upland Counties LiDAR Survey
    2018
    Co-Authors: At Https, Dataviewer.
    Abstract:

    This data set is an LAZ (compressed LAS) format File containing LIDAR point cloud data. 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 contact information: Contact Name: Jeff Smith Contact Org: State of Ohio, through the Office of Information Technology, Investment and Governance Division, for the Office of Information Technology, Services Delivery Division and the Ohio Geographically Referenced Information Program (OGRIP) Title: Project Administrator Phone: 614.466.4747 Email: gis.support@oit.ohio.gov

At Https - One of the best experts on this subject based on the ideXlab platform.

  • 2006 OSIP OGRIP Coastal Counties LiDAR Survey
    2018
    Co-Authors: At Https, Dataviewer.
    Abstract:

    This data set is an LAZ (compressed LAS) format File containing LIDAR point cloud data. 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 contact information: Contact Name: Jeff Smith Contact Org: State of Ohio, through the Office of Information Technology, Investment and Governance Division, for the Office of Information Technology, Services Delivery Division and the Ohio Geographically Referenced Information Program (OGRIP) Title: Project Administrator Phone: 614.466.4747 Email: gis.support@oit.ohio.gov

  • 2006 OSIP OGRIP: Upland Counties LiDAR Survey
    2018
    Co-Authors: At Https, Dataviewer.
    Abstract:

    This data set is an LAZ (compressed LAS) format File containing LIDAR point cloud data. 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 contact information: Contact Name: Jeff Smith Contact Org: State of Ohio, through the Office of Information Technology, Investment and Governance Division, for the Office of Information Technology, Services Delivery Division and the Ohio Geographically Referenced Information Program (OGRIP) Title: Project Administrator Phone: 614.466.4747 Email: gis.support@oit.ohio.gov