description: Contours dataset current as of 2001. Elevation contour data are a fundamental base map layer for large scale mapping and GIS analysis..; abstract: Contours dataset current as of 2001. Elevation contour data are a fundamental base map layer for large scale mapping and GIS analysis..

Geospatial data about Collier County, Florida Base Flood Elevation Contours. Export to CAD, GIS, PDF, CSV and access via API.

This dataset contains contour lines representing the base of treatable water for most areas in Oklahoma. The dataset was created by and is maintained by the Oklahoma Corporation Commission. The purpose of this dataset is to show the depth to the base of treatable groundwater for most areas in the state of Oklahoma.

© Oklahoma Corporation Commission

This layer is part of Vicmap Elevation 1-5 Contours & Relief, a subset of Vicmap Elevation. It contains relief features represented by lines at 1 metre intervals with some areas at 5 metres …Show full descriptionThis layer is part of Vicmap Elevation 1-5 Contours & Relief, a subset of Vicmap Elevation. It contains relief features represented by lines at 1 metre intervals with some areas at 5 metres intervals. Data has been derived from Melbourne Water base maps and converted to Microstation .DGN format. Data is incomplete ie. there are "holes" in the data where for example there are quarries, or large building sites.

(Link to Metadata) This dataset is derived from the multi-resolution National Elevation Dataset (NED), at resolutions of both 1/3 arc-second (approx. 10 meters) and in limited areas, 1/9 arc-second (approx. 3 meters). Contours derived from this data may appear to have ?shifted? when compared to the 7.5 minute USGS Quad Maps, i.e., Digital Raster Graphics, for a variety of reasons: 1) The NED is a multi-resolution dataset, e.g., areas with LiDAR source data have superseded the original "quad" contours; 2) A result of the original contour vectors undergoing a NAD27 to NAD83 conversion, then the contour vector-to-raster resampling that produced the initial grid, followed by a resampling of that initial 10m grid to the 1/3 arc-second NED (~10.29m) and finally the raster-to-vector conversion yielding the current contours. VCGI extracted the Vermont portion of the NED and re-projected into Vermont State Plane Meters NAD83 (vertical units in feet). Production artifacts were filtered out of this source data prior to acquisition resulting in a much-improved base of elevation data for calculating contours, slope and hydrologic derivatives. The NED is the primary elevation data product produced and distributed by the USGS. The NED provides the best available public domain raster elevation data of the conterminous United States, Alaska, Hawaii, and territorial islands in a seamless format. The NED is derived from diverse source data, processed to a common coordinate system and unit of vertical measure. The source data are distributed in geographic coordinates in units of decimal degrees, and in conformance with the North American Datum of 1983 (NAD 83). The source elevation values are provided in units of meters, and are referenced to the North American Vertical Datum of 1988 (NAVD 88) over the conterminous United States. The NED is updated on a nominal two month cycle to integrate newly available, improved elevation source data.

This geologic map database compiles, in digital form, geologic data previously published as printed maps showing the altitude of the base of Dakota Sandstone and equivalent rocks on the Colorado Plateau in Arizona, Colorado, New Mexico, and Utah. Data were compiled from U.S. Geological Survey 1:250,000-scale geologic maps and other topical maps that included structure contours of the base of the Dakota Sandstone. Surface and subsurface data compiled include mapped polygons of the Dakota Sandstone and equivalent units, faults, fold axes, structure contours, and bedding attitudes calculated from the structure contours. All data were compiled as a GeMS digital database. This digital geologic database is a companion dataset to an interpretive USGS report "Methodology for Compilation of Previously Published Contour Data Showing the Altitude of the Base of Dakota Sandstone on the Colorado Plateau, Arizona, Colorado, New Mexico, and Utah". These digital data are a compilation of data from previously published maps of the base of the Dakota Formation made digital for the first time, providing a digital dataset for future scientific and resource evaluations of the Colorado Plateau region. The dataset includes a geographic information system geodatabase that contains mapped contacts and faults, map unit polygons of the Dakota Sandstone and stratigraphic equivalents, fold axes, structure contour lines, and point data of bedding attitudes. Vector data are attributed according to the USGS National Cooperative Geologic Mapping Program’s GeMS digital geologic map schema. The spatial data are accompanied by non-spatial tables that describe the sources of geologic information, a description of geologic map units, a glossary of terms, and a Data Dictionary that duplicates the Entity and Attribute information contained in the metadata file. To maximize usability, spatial data are also distributed as shapefiles and tabular data are distributed as ascii text files in comma separated values (CSV) format.

This digital geospatial data set consists of structure contours of the base of the Laramie-Fox Hills aquifer and the base of the Arapahoe aquifer along the Front Range of Colorado. The U.S. Geological Survey developed this data set as part of a project described in the report, "Structure, Outcrop, and Subcrop of the Bedrock Aquifers Along the Western Margin of the Denver Basin, Colorado" (Robson and others, 1998).

Abstract The dataset was derived by the Bioregional Assessment Programme. The parent 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 dataset consists of a geodatabase containing polyline Feature Classes which show 50m interval contour lines for the top of formation elevation for each of the Galilee Basin subregion hydrogeological formations, as …Show full descriptionAbstract The dataset was derived by the Bioregional Assessment Programme. The parent 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 dataset consists of a geodatabase containing polyline Feature Classes which show 50m interval contour lines for the top of formation elevation for each of the Galilee Basin subregion hydrogeological formations, as sourced from the dataset - Galilee Top of Formation Elevations v03 (GUID: 8911f763-a618-452f-829b-58497369f8e8). Purpose Provides a polylne dataset for the alternative display and visualisation of the top of hydrogeological formation elevations in the Galilee Basin subregion Dataset History Contour lines were created using the Contour (3D Analyst) tool in ArcCatalog v10.2. The individual top of formation elevation rasters, in the Galilee Top of Formations Elevation v03 (GUID: 8911f763-a618-452f-829b-58497369f8e8) dataset, were used as the input rasters. Contour interval was set at 50m, Base contour and Z factor were left with their default value of 0 and 1 respectively. Dataset Citation Bioregional Assessment Programme (XXXX) Galilee top of formation contours v03. Bioregional Assessment Derived Dataset. Viewed 07 December 2018, http://data.bioregionalassessments.gov.au/dataset/7abd81ec-d689-43b5-a1f8-c013a5dd6cda. Dataset Ancestors Derived From Galilee top of formations elevations v02 Derived From Galilee QDEX - Queensland Digital Exploration Reports: Interpreted Seismic Sections v01 Derived From Queensland petroleum exploration data - QPED Derived From Galilee top of formations elevations v01 Derived From GAL Aquifer Formation Extents v02 Derived From QLD Department of Natural Resources and Mines Groundwater Database Extract 20142808 Derived From Galilee top of formation elevations v03 Derived From GAL Aquifer Formation Extents v01 Derived From Queensland Geological Digital Data - Detailed state extent, regional. November 2012 Derived From Geoscience Australia, 1 second SRTM Digital Elevation Model (DEM) Derived From Phanerozoic OZ SEEBASE v2 GIS

The U.S. Geological Survey and its partners have collaborated to complete airborne geophysical surveys for areas of the North and South Platte River valleys and Lodgepole Creek in western Nebraska. The objective of the surveys was to map the aquifers and bedrock topography of selected areas to help improve the understanding of groundwater-surface-water relationships to be used in water management decisions. Frequency-domain (2008 and 2009) and time-domain (2010) helicopter electromagnetic surveys were completed, using a unique survey flight line design, to collect resistivity data that can be related to lithologic information for refinement of groundwater model inputs. To make the geophysical data useful to multidimensional groundwater models, numerical inversion is necessary to convert the measured data into a depth-dependent subsurface resistivity model. This inversion model, in conjunction with sensitivity analysis, geological ground truth (boreholes), and geological interpretation, is used to characterize hydrogeologic features. The two- and three- dimensional interpretation provides the groundwater modeler with a high- resolution hydrogeologic framework and a quantitative estimate of framework uncertainty. This method of creating hydrogeologic frameworks improved the understanding of the actual flow path orientation by redefining the location of the paleochannels and associated bedrock highs. The improved models represent the hydrogeology at a level of accuracy not achievable using previous data sets.

This dataset consists of contours showing the altitude of the top surface of well-consolidated bedrock at the base of the shallow groundwater system in the Lower Gunnison River Basin in Delta, Montrose, Ouray, and Gunnison Counties, Colorado. Bedrock altitude was contoured from values in the raster dataset bralt. The U.S. Geological Survey prepared this dataset in cooperation with the Colorado Water Conservation Board.

BY USING THIS WEBSITE OR THE CONTENT THEREIN, YOU AGREE TO THE TERMS OF USE. Data collected between 3/29/17 and 5/3/17. Contours created on 12/13/18. The 1-foot elevation contours were presented as a feature class in an Esri ArcGIS 10.3 File Geodatabase. The contours were derived from Bare-Earth (DEMs) created from QL2 LiDAR data. Source Data Description: MI 2016 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 meter. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LIDAR Specification, Version 1.2. The data was developed based on a horizontal projection/datum of Michigan State Plane South, NAD83(2011), international feet and vertical datum of NAVD1988 (GEOID12A), international feet. Deliverables included classified LAS, Raw LAS, Bare-Earth hydro-flattened DEMs, Breaklines and Intensity images. Ground Conditions: LiDAR was collected in spring or fall, while no snow was on the ground and rivers were at or below normal levels.

Data created for use in planning, design, assessment, research, general mapping and hydrologic modeling.

Bedrock Geology of Champaign County, Illinois, map layers (shapefiles).
Layers included: 1) Champaign County bedrock units. 2) Champaign County bedrock surface contours. Contour interval of 25 feet. 3) Colchester coal surface contours. Contour interval of 50 feet. 4) Kimmswick Limestone top contours, in the Mahomet dome area. Contour interval of 20 feet. 5) New Albany shale base contour. Contour interval of 100 feet. Shapefiles (map layers) containing Bedrock Geology of Champaign County, Illinois.

2017 Cook County 1 ft. elevation contours for PLSS Township Area 20. Data is derived from 2017 lidar. If you plan on downloading this dataset it is recommended to use the File Geodatabase option. The shapefile format may not work for larger datasets.Details about creating the one foot contours:The contours were processed by the Cook County GIS Department in order to add contour classifications as Index Contours (every 5 feet), Intermediate Contours (every 1 foot), Index Depression Contours, and Intermediate Depression Contours. To create the classification Cook County GIS used the Identify Contour tool in ArcPro. The input was the contour feature and the 2017 DEM that was delivered along with the LiDAR data. Details about the LiDAR Acquisition:IL 4 County QL1 Lidar project called for the Planning, Acquisition, processing and derivative products of lidar data to be collected at a derived nominal pulse spacing (NPS) of 1 point every 0.35 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.2. The data was developed based on a horizontal projection/datum of NAD83 (2011), State Plane, U.S Survey Feet and vertical datum of NAVD88 (GEOID12B), U.S. Survey Feet. Lidar data was delivered as processed Classified LAS 1.4 files, formatted to 15,414 individual 2500 ft x 2500 ft tiles, as tiled Reflectance Imagery, and as tiled bare earth DEMs; all tiled to the same 2500 ft x 2500 ft schema.Ground Conditions: Lidar was collected April-May 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, Ayers established a total of 66 ground control points that were used to calibrate the lidar to known ground locations established throughout the WI Kenosha-Racine Counties and IL 4 County QL1 project area. An additional 195 independent accuracy checkpoints, 116 in Bare Earth and Urban landcovers (116 NVA points), 79 in Tall Grass and Brushland/Low Trees categories (79 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the dataDetails about the DEM:To acquire detailed surface elevation data for use in conservation planning, design, research, floodplain mapping, dam safety assessments and elevation modeling, etc. Classified LAS files are used to show the manually reviewed bare earth surface. This allows the user to create Reflectance Images, Breaklines and Raster DEM. The purpose of these lidar data was to produce high accuracy 3D hydro-flattened Digital Elevation Model (DEM) with a 2 foot cell size. These raw lidar point cloud data were used to create classified lidar LAS files, Reflectance Images, 3D breaklines, 1 foot contours, and hydro-flattened DEMs as necessary.

This dataset details features of Marine Plain in the Vestfold Hills, Antarctica. The dataset includes coastline, 5 metre interval contours and lake shores. These data were captured from aerial photography and are the basis of the Marine Plain Orthophoto Map published for the Australian Antarctic Division in 1993. This map is available from a URL provided in this metadata record.

Statewide elevation contour lines (10-ft intervals) derived from a digital elevation model originally produced as part of the 2011 Northeast Lidar Project. The source data are also available on a tile-by-tile basis in shapefile format from RIGIS.

In 1999, the U.S. Geological Survey (USGS), in partnership with the South Carolina Sea Grant Consortium, began a study to investigate processes affecting shoreline change along the northern coast of South Carolina, focusing on the Grand Strand region. Previous work along the U.S. Atlantic coast shows that the structure and composition of older geologic strata located seaward of the coast heavily influences the coastal behavior of areas with limited sediment supply, such as the Grand Strand. By defining this geologic framework and identifying the transport pathways and sinks of sediment, geoscientists are developing conceptual models of the present-day physical processes shaping the South Carolina coast. The primary objectives of this research effort are: 1) to provide a regional synthesis of the shallow geologic framework underlying the coastal upland, shoreface and inner continental shelf, and define its role in coastal evolution and modern beach behavior; 2) to identify and model the physical processes affecting coastal ocean circulation and sediment transport, and to define their role in shaping the modern shoreline; and 3) to identify sediment sources and transport pathways; leading to construction of a regional sediment budget.

Legacy product - no abstract available

This dataset contain the 1:20,000 scale contour elevation text converted from the Provincial Digital Base Mapping Project.