This dataset contains 50-ft contours for the Hot Springs shallowest unit of the Ouachita Mountains aquifer system potentiometric-surface map. The potentiometric-surface shows altitude at which the water level would have risen in tightly-cased wells and represents synoptic conditions during the summer of 2017. Contours were constructed from 59 water-level measurements measured in selected wells (locations in the well point dataset). Major streams and creeks were selected in the study area from the USGS National Hydrography Dataset (U.S. Geological Survey, 2017), and the spring point dataset with 18 spring altitudes calculated from 10-meter digital elevation model (DEM) data (U.S. Geological Survey, 2015; U.S. Geological Survey, 2016). After collecting, processing, and plotting the data, a potentiometric surface was generated using the interpolation method Topo to Raster in ArcMap 10.5 (Esri, 2017a). This tool is specifically designed for the creation of digital elevation models and imposes constraints that ensure a connected drainage structure and a correct representation of the surface from the provided contour data (Esri, 2017a). Once the raster surface was created, 50-ft contour interval were generated using Contour (Spatial Analyst), a spatial analyst tool (available through ArcGIS 3D Analyst toolbox) that creates a line-feature class of contours (isolines) from the raster surface (Esri, 2017b). The Topo to Raster and contouring done by ArcMap 10.5 is a rapid way to interpolate data, but computer programs do not account for hydrologic connections between groundwater and surface water. For this reason, some contours were manually adjusted based on topographical influence, a comparison with the potentiometric surface of Kresse and Hays (2009), and data-point water-level altitudes to more accurately represent the potentiometric surface. Select References: Esri, 2017a, How Topo to Raster works—Help | ArcGIS Desktop, accessed December 5, 2017, at ArcGIS Pro at http://pro.arcgis.com/en/pro-app/tool-reference/3d-analyst/how-topo-to-raster-works.htm. Esri, 2017b, Contour—Help | ArcGIS Desktop, accessed December 5, 2017, at ArcGIS Pro Raster Surface toolset at http://pro.arcgis.com/en/pro-app/tool-reference/3d-analyst/contour.htm. Kresse, T.M., and Hays, P.D., 2009, Geochemistry, Comparative Analysis, and Physical and Chemical Characteristics of the Thermal Waters East of Hot Springs National Park, Arkansas, 2006-09: U.S. Geological Survey 2009–5263, 48 p., accessed November 28, 2017, at https://pubs.usgs.gov/sir/2009/5263/. U.S. Geological Survey, 2015, USGS NED 1 arc-second n35w094 1 x 1 degree ArcGrid 2015, accessed December 5, 2017, at The National Map: Elevation at https://nationalmap.gov/elevation.html. U.S. Geological Survey, 2016, USGS NED 1 arc-second n35w093 1 x 1 degree ArcGrid 2016, accessed December 5, 2017, at The National Map: Elevation at https://nationalmap.gov/elevation.html.

Download .zipThis file contains the data used by the Division of Wildlife for the construction of lake maps. Data was collected in the Ohio State Plane Coordinate System for both the northern and southern state planes in the Lambert Projection Zone. Except for the lakes in extreme western Ohio which is in UTM zone 16N the majority of lakes are in UTM zone 17N and datum NAD83. Data were collected by the Ohio Division of Wildlife using a Trimble GPS Pathfinder Pro XRS receiver and Recon datalogger. Geocoding of depths typically occurred during water levels that were ± 60 cm of full recreational pool while transversing the reservoir at 100m intervals driving at a vessel speed of 2.0-2.5 m/s. Depth contour lines were derived by creating a raster file from the point bathymetry and boundary lake data. ArcGIS Spatial Analyst Interpolation tool outputs point data that is then changed into polyline contours using the Spatial Analyst Surface tool. Additional details on the digitizing process are available upon request.Contact Information:GIS Support, ODNR GIS ServicesOhio Department of Natural ResourcesDivision of Wildlife2099 Morse Rd, Bldg G-2Columbus, OH, 43283Telephone: 614-265-6516Email: gis.support@dnr.ohio.gov Data Update Frequency: As Needed

The data series "Höhenlinien Wuppertal 2015" comprises 6 contour line data sets in the German main elevation network 2016 (DHHN2016) with different equidistances (1 m, 5 m, 10 m, 20 m, 50 m and 100 m), each in 2 versions with and without exemption on the buildings of the property cadastre. Each of these 12 data sets is held in 5 different forms with regard to data format and coordinate system. All data sets are based on the Digital Terrain Model DGM1 provided by Geobasis NRW with the predominant data status in 2015 (stands 2012 and 2017 in some northern and eastern peripheral areas of the Wuppertal urban area). The DGM1 is a regular point grid generated by aircraft-based laser scanning (Lidar) with a mesh size of 1 m and a height accuracy of a single point of +/- 2 dm. All contour lines were generated with ArcGIS 10.6 and the ArcGIS Spatial Analyst extension by interpolation in DGM1 without taking into account additional terrain fracture edges. In addition to the standard behavior of the tool "Surface - Contour Line" available in the Spatial Analyst, no explicit further smoothing of the curve of the contour lines took place. The datasets from this series will not be continued. Following an update of the DGM1, the Wuppertal contour lines are re-derived under other product names. All datasets in the series are available under an Open Data license (CC BY 4.0).

The data set "10m height lines Wuppertal 2015 (with exemption)" contains contour lines with an equidistance of 10 m and exemption at the buildings from the official property cadastre information system ALKIS for the entire urban area of Wuppertal. There are 5 different characteristics with regard to data format and coordinate system. The dataset is based on the Digital Terrain Model DGM1 provided by Geobasis NRW with the predominant data status in 2015 (stands 2012 and 2017 in some northern and eastern peripheral areas of the Wuppertal urban area). The DGM1 is a regular point grid generated by aircraft-based laser scanning (Lidar) with a mesh size of 1 m and a height accuracy of a single point of +/- 2 dm. The contour lines were generated with ArcGIS 10.6 and the ArcGIS Spatial Analyst extension by interpolation in DGM1 without taking into account additional terrain fracture edges. In addition to the standard behavior of the tool "Surface - Contour Line" available in the Spatial Analyst, no explicit further smoothing of the curve of the contour lines took place. The dataset will not be continued. Following an update of the DGM1, the Wuppertal contour lines are re-derived under other product names. The dataset is available under an Open Data license (CC BY 4.0).

The data set "100m-Höhenlinien Wuppertal 2015" contains contour lines with an equidistance of 100 m for the entire urban area of Wuppertal. There are 5 different characteristics with regard to data format and coordinate system. The dataset is based on the Digital Terrain Model DGM1 provided by Geobasis NRW with the predominant data status in 2015 (stands 2012 and 2017 in some northern and eastern peripheral areas of the Wuppertal urban area). The DGM1 is a regular point grid generated by aircraft-based laser scanning (Lidar) with a mesh size of 1 m and a height accuracy of a single point of +/- 2 dm. The contour lines were generated with ArcGIS 10.6 and the ArcGIS Spatial Analyst extension by interpolation in DGM1 without taking into account additional terrain fracture edges. In addition to the standard behavior of the tool "Surface - Contour Line" available in the Spatial Analyst, no explicit further smoothing of the curve of the contour lines took place. The dataset will not be continued. Following an update of the DGM1, the Wuppertal contour lines are re-derived under other product names. The dataset is available under an Open Data license (CC BY 4.0).

The data series "Contours Wuppertal 2015" includes 6 contour data sets in the German main height network 2016 (DHHN2016) with different equidistances (1 m, 5 m, 10 m, 20 m, 50 m and 100 m), each in 2 versions with and without exemption on the buildings of the real estate cadastre. Each of these 12 datasets is available in 5 different versions in terms of data format and coordinate system. All datasets are based on the digital terrain model DGM1 provided by Geobasis NRW with the predominant data status 2015 (statuses 2012 and 2017 in some northern and eastern peripheral areas of the Wuppertal city area). The DGM1 is a regular grid of points generated by airborne laser scanning (lidar) with a mesh size of 1 m and a height accuracy of a single point of +/- 2 dm. All contour lines were generated with ArcGIS 10.6 and the ArcGIS Spatial Analyst extension through interpolation in DTM1 without considering additional terrain break edges. Beyond the standard behavior of the "Surface - Contour Line" tool available in Spatial Analyst, there was no further explicit smoothing of the curvature of the contour lines. The data sets from this series will not be continued. After an update of the DGM1, the Wuppertal contour lines are re-derived under different product designations. All datasets in the series are available under an open data license (CC BY 4.0).

The data set “100 m Height Lines Wuppertal 2015” contains elevation lines with an equidistance of 100 m for the entire city area of Wuppertal. There are 5 different types of data format and coordinate system. The data set is based on the digital terrain model DGM1 provided by Geobasis NRW with the predominant data level in 2015 (stands 2012 and 2017 in some northern and eastern peripheral areas of Wuppertal’s urban area). The DGM1 is a regular point grid generated by aircraft-assisted laser scanning (Lidar) with a mesh width of 1 m and a height accuracy of a single point of ± 2 dm. The vertical lines were created with ArcGIS 10.6 and the ArcGIS Spatial Analyst extension by interpolation in the DGM1 without taking into account additional ground breaking edges. Beyond the standard behavior of the “surface contour line” tool available in the Spatial Analyst, there was no explicit further smoothing of the curvature of the vertical lines. The record will not be continued. After an update of the DGM1, the Wuppertal height lines are newly derived under other product names. The dataset is available under an open data license (CC BY 4.0).

Download .zipThis file contains the data used by the Division of Wildlife for the construction of lake maps. Data was collected in the Ohio State Plane Coordinate System for both the northern and southern state planes in the Lambert Projection Zone. Except for the lakes in extreme western Ohio which is in UTM zone 16N the majority of lakes are in UTM zone 17N and datum NAD83. Data were collected by the Ohio Division of Wildlife using a Trimble GPS Pathfinder Pro XRS receiver and Recon datalogger. Geocoding of depths typically occurred during water levels that were ± 60 cm of full recreational pool while transversing the reservoir at 100m intervals driving at a vessel speed of 2.0-2.5 m/s. Depth contour lines were derived by creating a raster file from the point bathymetry and boundary lake data. ArcGIS Spatial Analyst Interpolation tool outputs point data that is then changed into polyline contours using the Spatial Analyst Surface tool. Additional details on the digitizing process are available upon request.Contact Information:GIS Support, ODNR GIS ServicesOhio Department of Natural ResourcesDivision of Wildlife2108 Morse Rd, Bldg G-2Columbus, OH, 43292Telephone: 614-265-6525Email: gis.support@dnr.ohio.gov Data Update Frequency: As Needed

The data set "10m contour lines Wuppertal 2015" contains contour lines with an equidistance of 10 m for the entire urban area of ​​Wuppertal. There are 5 different specifications regarding data format and coordinate system. The data set is based on the digital terrain model DGM1 provided by Geobasis NRW with the predominant data status of 2015 (statuses 2012 and 2017 in some northern and eastern peripheral areas of the Wuppertal city area). The DGM1 is a regular grid of points generated by airborne laser scanning (lidar) with a mesh size of 1 m and a height accuracy of a single point of +/- 2 dm. The contour lines were created with ArcGIS 10.6 and the ArcGIS Spatial Analyst extension through interpolation in DTM1 without considering additional terrain break edges. Beyond the standard behavior of the "Surface - Contour Line" tool available in Spatial Analyst, there was no further explicit smoothing of the curvature of the contour lines. The record is not continued. After an update of the DGM1, the Wuppertal contour lines are re-derived under different product designations. The data set is available under an open data license (CC BY 4.0).

The data set "20m contour lines Wuppertal 2015" contains contour lines with an equidistance of 20 m for the entire urban area of ​​Wuppertal. There are 5 different specifications regarding data format and coordinate system. The data set is based on the digital terrain model DGM1 provided by Geobasis NRW with the predominant data status of 2015 (statuses 2012 and 2017 in some northern and eastern peripheral areas of the Wuppertal city area). The DGM1 is a regular grid of points generated by airborne laser scanning (lidar) with a mesh size of 1 m and a height accuracy of a single point of +/- 2 dm. The contour lines were created with ArcGIS 10.6 and the ArcGIS Spatial Analyst extension through interpolation in DTM1 without considering additional terrain break edges. Beyond the standard behavior of the "Surface - Contour Line" tool available in Spatial Analyst, there was no further explicit smoothing of the curvature of the contour lines. The record is not continued. After an update of the DGM1, the Wuppertal contour lines are re-derived under different product designations. The data set is available under an open data license (CC BY 4.0).

The data set "1m contour lines Wuppertal 2015 (with exemption)" contains contour lines with an equidistance of 1 m and exemption on the buildings from the official real estate cadastre information system ALKIS for the entire urban area of ​​Wuppertal. There are 5 different specifications regarding data format and coordinate system. The data set is based on the digital terrain model DGM1 provided by Geobasis NRW with the predominant data status of 2015 (statuses 2012 and 2017 in some northern and eastern peripheral areas of the Wuppertal city area). The DGM1 is a regular grid of points generated by airborne laser scanning (lidar) with a mesh size of 1 m and a height accuracy of a single point of +/- 2 dm. The contour lines were created with ArcGIS 10.6 and the ArcGIS Spatial Analyst extension through interpolation in DTM1 without considering additional terrain break edges. Beyond the standard behavior of the "Surface - Contour Line" tool available in Spatial Analyst, there was no further explicit smoothing of the curvature of the contour lines. The record is not continued. After an update of the DGM1, the Wuppertal contour lines are re-derived under different product designations. The data set is available under an open data license (CC BY 4.0).

Abstract

The dataset was derived by the Bioregional Assessment Programme from multiple source datasets. The source datasets are identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement.

This resource contains raster datasets created using ArcGIS to analyse groundwater levels in the Namoi subregion.

Purpose

These data layers were created in ArcGIS as part of the analysis to investigate surface water - groundwater connectivity in the Namoi subregion. The data layers provide several of the figures presented in the Namoi 2.1.5\tSurface water - groundwater interactions report.

Dataset History

Extracted points inside Namoi subregion boundary. Converted bore and pipe values to Hydrocode format, changed heading of 'Value' column to 'Waterlevel' and removed unnecessary columns then joined to Updated_NSW_GroundWaterLevel_data_analysis_v01\NGIS_NSW_Bore_Join_Hydmeas_unique_bores.shp clipped to only include those bores within the Namoi subregion.

Selected only those bores with sample dates between >=26/4/2012 and <31/7/2012. Then removed 4 gauges due to anomalous ref_pt_height values or WaterElev values higher than Land_Elev values.

Then added new columns of calculations:

WaterElev = TsRefElev - Water_Leve

DepthWater = WaterElev - Ref_pt_height

Ref_pt_height = TsRefElev - LandElev

Alternatively - Selected only those bores with sample dates between >=1/5/2006 and <1/7/2006

2012_Wat_Elev - This raster was created by interpolating Water_Elev field points from HydmeasJune2012_only.shp, using Spatial Analyst - Topo to Raster tool. And using the alluvium boundary (NAM_113_Aquifer1_NamoiAlluviums.shp) as a boundary input source.

12_dw_olp_enf - Select out only those bores that are in both source files.

Then using depthwater in Topo to Raster, with alluvium as the boundary, ENFORCE field chosen, and using only those bores present in 2012 and 2006 dataset.

2012dw1km_alu - Clipped the 'watercourselines' layer to the Namoi Subregion, then selected 'Major' water courses only. Then used the Geoprocessing 'Buffer' tool to create a polygon delineating an area 1km around all the major streams in the Namoi subregion.

selected points from HydmeasJune2012_only.shp that were within 1km of features the WatercourseLines then used the selected points and the 1km buffer around the major water courses and the Topo to Raster tool in Spatial analyst to create the raster.

Then used the alluvium boundary to truncate the raster, to limit to the area of interest.

12_minus_06 - Select out bores from the 2006 dataset that are also in the 2012 dataset. Then create a raster using depth_water in topo to raster, with ENFORCE field chosen to remove sinks, and alluvium as boundary. Then, using Map Algebra - Raster Calculator, subtract the raster just created from 12_dw_olp_enf

Dataset Citation

Bioregional Assessment Programme (2017) Namoi bore analysis rasters. Bioregional Assessment Derived Dataset. Viewed 10 December 2018, http://data.bioregionalassessments.gov.au/dataset/7604087e-859c-4a92-8548-0aa274e8a226.

Dataset Ancestors

• Derived From Bioregional Assessment areas v02

• Derived From Gippsland Project boundary

• Derived From Bioregional Assessment areas v04

• Derived From Upper Namoi groundwater management zones

• Derived From Natural Resource Management (NRM) Regions 2010

• Derived From Bioregional Assessment areas v03

• Derived From Victoria - Seamless Geology 2014

• Derived From GIS analysis of HYDMEAS - Hydstra Groundwater Measurement Update: NSW Office of Water - Nov2013

• Derived From Bioregional Assessment areas v01

• Derived From GEODATA TOPO 250K Series 3, File Geodatabase format (.gdb)

• Derived From GEODATA TOPO 250K Series 3

• Derived From NSW Catchment Management Authority Boundaries 20130917

• Derived From Geological Provinces - Full Extent

• Derived From Hydstra Groundwater Measurement Update - NSW Office of Water, Nov2013

The dataset ‘1 m altitude lines Wuppertal 2015’ contains altitude lines with an equestrian distance of 1 m for the entire urban area of Wuppertal. There are 5 different types of data format and coordinate system. The dataset is based on the DGM1 digital terrain model provided by Geobasis NRW with the predominant data base 2015 (stands 2012 and 2017 in some northern and eastern peripheral areas of the Wuppertaler urban area). DGM1 is a regular point grid produced by airplane based laser scanning (lidar) with a mesh size of 1 m and an altitude accuracy of ± 2 dm. The altitude lines were generated using ArcGIS 10.6 and the ArcGIS Spatial Analyst extension by interpolation in DGM1, without taking into account additional terrain edges. Beyond the standard behaviour of the “surface — contour line” tool available in the Spatial Analyst, there was no explicit further smoothing of the curvature of the altitude lines. The dataset will not be continued. Following an update of the DGM1, the Wuppertal altitude is recalculated under other product names. The dataset is available under an open data licence (CC BY 4.0).

Download .zipThis file contains the data used by the Division of Wildlife for the construction of lake maps. Data was collected in the Ohio State Plane Coordinate System for both the northern and southern state planes in the Lambert Projection Zone. Except for the lakes in extreme western Ohio which is in UTM zone 16N the majority of lakes are in UTM zone 17N and datum NAD83. Data were collected by the Ohio Division of Wildlife using a Trimble GPS Pathfinder Pro XRS receiver and Recon datalogger. Geocoding of depths typically occurred during water levels that were ± 60 cm of full recreational pool while transversing the reservoir at 100m intervals driving at a vessel speed of 2.0-2.5 m/s. Depth contour lines were derived by creating a raster file from the point bathymetry and boundary lake data. ArcGIS Spatial Analyst Interpolation tool outputs point data that is then changed into polyline contours using the Spatial Analyst Surface tool. Additional details on the digitizing process are available upon request.Contact Information:GIS Support, ODNR GIS ServicesOhio Department of Natural ResourcesDivision of Wildlife2045 Morse Rd, Bldg G-2Columbus, OH, 43229Telephone: 614-265-6462Email: gis.support@dnr.ohio.gov Data Update Frequency: As Needed

Download .zipThis file contains the data used by the Division of Wildlife for the construction of lake maps. Data was collected in the Ohio State Plane Coordinate System for both the northern and southern state planes in the Lambert Projection Zone. Except for the lakes in extreme western Ohio which is in UTM zone 16N the majority of lakes are in UTM zone 17N and datum NAD83. Data were collected by the Ohio Division of Wildlife using a Trimble GPS Pathfinder Pro XRS receiver and Recon datalogger. Geocoding of depths typically occurred during water levels that were ± 60 cm of full recreational pool while transversing the reservoir at 100m intervals driving at a vessel speed of 2.0-2.5 m/s. Depth contour lines were derived by creating a raster file from the point bathymetry and boundary lake data. ArcGIS Spatial Analyst Interpolation tool outputs point data that is then changed into polyline contours using the Spatial Analyst Surface tool. Additional details on the digitizing process are available upon request.Contact Information:GIS Support, ODNR GIS ServicesOhio Department of Natural ResourcesDivision of Wildlife2113 Morse Rd, Bldg G-2Columbus, OH, 43297Telephone: 614-265-6530Email: gis.support@dnr.ohio.gov Data Update Frequency: As Needed

L’ensemble de données «Lignes de hauteur de 100 m Wuppertal 2015 (avec exemption)» contient des lignes d’altitude avec une équidistance de 100 m et une exemption sur les bâtiments du système d’information officiel ALKIS pour l’ensemble de la ville de Wuppertal. 5 expressions différentes concernant le format des données et le système de coordonnées sont données. L’ensemble de données est basé sur le modèle de terrain numérique DGM1 fourni par la base géographique NRW, avec la plupart des données disponibles en 2015 (stands 2012 et 2017 dans certaines zones périphériques nord et est de la zone urbaine de Wuppertal). Le DGM1 est une grille de points régulière produite par balayage laser par avion (Lidar), avec une largeur de maille de 1 m et une précision d’altitude d’un point unique de ± 2 dm. Les lignes d’altitude ont été créées avec ArcGIS 10.6 et l’extension ArcGIS Spatial Analyst grâce à l’interpolation dans le DGM1, sans tenir compte des bords de rupture de terrain supplémentaires. Au-delà du comportement standard de l’outil «surface — ligne de contour» disponible dans l’analyste spatial, il n’y a pas eu de lissage explicite de la courbe des lignes d’altitude. L’ensemble de données ne se poursuit pas. Après une mise à jour du DGM1, les lignes de hauteur Wuppertal sont redéfinies sous d’autres noms de produits. L’enregistrement est disponible sous licence Open Data (CC BY 4.0).

Download .zipThis file contains the data used by the Division of Wildlife for the construction of lake maps. Data was collected in the Ohio State Plane Coordinate System for both the northern and southern state planes in the Lambert Projection Zone. Except for the lakes in extreme western Ohio which is in UTM zone 16N the majority of lakes are in UTM zone 17N and datum NAD83. Data were collected by the Ohio Division of Wildlife using a Trimble GPS Pathfinder Pro XRS receiver and Recon datalogger. Geocoding of depths typically occurred during water levels that were ± 60 cm of full recreational pool while transversing the reservoir at 100m intervals driving at a vessel speed of 2.0-2.5 m/s. Depth contour lines were derived by creating a raster file from the point bathymetry and boundary lake data. ArcGIS Spatial Analyst Interpolation tool outputs point data that is then changed into polyline contours using the Spatial Analyst Surface tool. Additional details on the digitizing process are available upon request.Contact Information:GIS Support, ODNR GIS ServicesOhio Department of Natural ResourcesDivision of Wildlife2064 Morse Rd, Bldg G-2Columbus, OH, 43248Telephone: 614-265-6481Email: gis.support@dnr.ohio.gov Data Update Frequency: As Needed

Download .zipThis file contains the data used by the Division of Wildlife for the construction of lake maps. Data was collected in the Ohio State Plane Coordinate System for both the northern and southern state planes in the Lambert Projection Zone. Except for the lakes in extreme western Ohio which is in UTM zone 16N the majority of lakes are in UTM zone 17N and datum NAD83. Data were collected by the Ohio Division of Wildlife using a Trimble GPS Pathfinder Pro XRS receiver and Recon datalogger. Geocoding of depths typically occurred during water levels that were ± 60 cm of full recreational pool while transversing the reservoir at 100m intervals driving at a vessel speed of 2.0-2.5 m/s. Depth contour lines were derived by creating a raster file from the point bathymetry and boundary lake data. ArcGIS Spatial Analyst Interpolation tool outputs point data that is then changed into polyline contours using the Spatial Analyst Surface tool. Additional details on the digitizing process are available upon request.Contact Information:GIS Support, ODNR GIS ServicesOhio Department of Natural ResourcesDivision of Wildlife2045 Morse Rd, Bldg G-2Columbus, OH, 43229Telephone: 614-265-6462Email: gis.support@dnr.ohio.gov Data Update Frequency: As Needed

Download .zipThis file contains the data used by the Division of Wildlife for the construction of lake maps. Data was collected in the Ohio State Plane Coordinate System for both the northern and southern state planes in the Lambert Projection Zone. Except for the lakes in extreme western Ohio which is in UTM zone 16N the majority of lakes are in UTM zone 17N and datum NAD83. Data were collected by the Ohio Division of Wildlife using a Trimble GPS Pathfinder Pro XRS receiver and Recon datalogger. Geocoding of depths typically occurred during water levels that were ± 60 cm of full recreational pool while transversing the reservoir at 100m intervals driving at a vessel speed of 2.0-2.5 m/s. Depth contour lines were derived by creating a raster file from the point bathymetry and boundary lake data. ArcGIS Spatial Analyst Interpolation tool outputs point data that is then changed into polyline contours using the Spatial Analyst Surface tool. Additional details on the digitizing process are available upon request.Contact Information:GIS Support, ODNR GIS ServicesOhio Department of Natural ResourcesDivision of Wildlife2081 Morse Rd, Bldg G-2Columbus, OH, 43265Telephone: 614-265-6498Email: gis.support@dnr.ohio.gov Data Update Frequency: As Needed

Download .zipThis file contains the data used by the Division of Wildlife for the construction of lake maps. Data was collected in the Ohio State Plane Coordinate System for both the northern and southern state planes in the Lambert Projection Zone. Except for the lakes in extreme western Ohio which is in UTM zone 16N the majority of lakes are in UTM zone 17N and datum NAD83. Data were collected by the Ohio Division of Wildlife using a Trimble GPS Pathfinder Pro XRS receiver and Recon datalogger. Geocoding of depths typically occurred during water levels that were ± 60 cm of full recreational pool while transversing the reservoir at 100m intervals driving at a vessel speed of 2.0-2.5 m/s. Depth contour lines were derived by creating a raster file from the point bathymetry and boundary lake data. ArcGIS Spatial Analyst Interpolation tool outputs point data that is then changed into polyline contours using the Spatial Analyst Surface tool. Additional details on the digitizing process are available upon request.Contact Information:GIS Support, ODNR GIS ServicesOhio Department of Natural ResourcesDivision of Wildlife2045 Morse Rd, Bldg G-2Columbus, OH, 43229Telephone: 614-265-6462Email: gis.support@dnr.ohio.gov Data Update Frequency: As Needed