The Digital Geologic-GIS Map of Ocmulgee Mounds National Historical Park and Vicinity, Georgia is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (ocmu_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (ocmu_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (ocmu_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) A GIS readme file (ocmu_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (ocmu_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (ocmu_geology_metadata_faq.pdf). Please read the ocmu_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: Georgia Department of Natural Resources and U. S. Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (ocmu_geology_metadata.txt or ocmu_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:181,000 and United States National Map Accuracy Standards features are within (horizontally) 91.9 meters or 301.7 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

These features are a public copy of those used to create the Trout Streams of Georgia interactive map. The streams are derived from the NHD Plus V2 dataset from the US EPA. However, the stream lines are simplified to allow faster processing and will not match exactly to the lines from the NHD. Note that streams marked as heavily stocked are those on public property that receive the most stocked fish and are more easily accessible to anglers. Public lands, such as the National Forest and WMA boundaries are not exact and are meant only for reference. Please use common sense when fishing near a boundary with private property and respect the rights of property owners.For specific questions about regulations or seasons, please visit: georgiawildlife.com/Fishing/Trout You may access these data without an ArcGIS Online account, but to download you will need to create an account.

This compilation provides metadata for Geology Maps of Georgia compiled by the Environmental Protection Division, Georgia Department of Natural Resources. The document contains 8 worksheets, including information about the template, notes related to revisions of the template, Resource provider information, the data, a field list (data mapping view), and vocabularies (data valid terms) used to populate the metadata worksheet. Metadata for 27 maps are included. This resource was provided by the Georgia Department of Natural Resources and made available for access through the National Geothermal Data System.

Groundwater Recharge and Pollution Susceptibility Areas: The Georgia Planning Act requires that land-use ordinances be made in an attempt to protect ground water, be passed and enforced by local governments having jurisdiction over significant groundwater recharge areas. Within significant recharge areas, the relative degree of protection required is further defined on the basis of whether the area has high pollution susceptibility.

Southern Ecological Framework: The Southeastern Ecological Framework is landscape ecology based model that identifies primary ecological areas that are protected by some type of conservation or ecosystem management program; identifies a green infrastructure network that connects these primary ecological areas. Priority Ecological Areas provide excellent candidates for Regionally Important Resources and SEF corridors provide excellent connecting green infrastructure linkages between them. DCA has converted these from the original grid model to vectors and clipped them to the Georgia state boundary for easy use in regional planning applications. Complete documentation of SEF, with Georgia application examples, is available in the EPA Final Report (5-20-2010)

Protected River Protected River River Corridor Protection Plans are required for designated streams by the Georgia Department of Natural Resources Rules for Environmental Planning Criteria 391-3-16-.04 and are also a DCA-required natural resources planning element. This is a DCA-compiled map that differs substantially from the 'Corridor' coverage in the 'Digital Environmental Atlas of Georgia' (Georgia Geologic Survey Publication CD-1). The DNR map (compiled by the USGS) errantly contains river reservoir areas and does not include all of the stream segments downstream to the jurisdiction of the Coastal Marshland Protection Act area. (1-3-2003)

Protected Mountain: As required by the Georgia Department of Natural Resources- Environmental Protection Division- Rules for Environmental Planning Criteria 391-3-16-.05. Mountain protection is also a DCA-required natural resources planning element. This is a DCA-compiled map, based on analysis of the 1:24,000-scale National Elevation Dataset. (3-15-2002)This layer is used in map(s): Environmental Planning

The USGS Protected Areas Database of the United States (PAD-US) is the nation's inventory of protected areas, including public open space and voluntarily provided, private protected areas, identified as an A-16 National Geospatial Data Asset in the Cadastral Theme (http://www.fgdc.gov/ngda-reports/NGDA_Datasets.html). PAD-US is an ongoing project with several published versions of a spatial database of areas dedicated to the preservation of biological diversity, and other natural, recreational or cultural uses, managed for these purposes through legal or other effective means. The geodatabase maps and describes public open space and other protected areas. Most areas are public lands owned in fee; however, long-term easements, leases, and agreements or administrative designations documented in agency management plans may be included. The PAD-US database strives to be a complete “best available” inventory of protected areas (lands and waters) including data provided by managing agencies and organizations. The dataset is built in collaboration with several partners and data providers (http://gapanalysis.usgs.gov/padus/stewards/). See Supplemental Information Section of this metadata record for more information on partnerships and links to major partner organizations. As this dataset is a compilation of many data sets; data completeness, accuracy, and scale may vary. Federal and state data are generally complete, while local government and private protected area coverage is about 50% complete, and depends on data management capacity in the state. For completeness estimates by state: http://www.protectedlands.net/partners. As the federal and state data are reasonably complete; focus is shifting to completing the inventory of local gov and voluntarily provided, private protected areas. The PAD-US geodatabase contains over twenty-five attributes and four feature classes to support data management, queries, web mapping services and analyses: Marine Protected Areas (MPA), Fee, Easements and Combined. The data contained in the MPA Feature class are provided directly by the National Oceanic and Atmospheric Administration (NOAA) Marine Protected Areas Center (MPA, http://marineprotectedareas.noaa.gov ) tracking the National Marine Protected Areas System. The Easements feature class contains data provided directly from the National Conservation Easement Database (NCED, http://conservationeasement.us ) The MPA and Easement feature classes contain some attributes unique to the sole source databases tracking them (e.g. Easement Holder Name from NCED, Protection Level from NOAA MPA Inventory). The "Combined" feature class integrates all fee, easement and MPA features as the best available national inventory of protected areas in the standard PAD-US framework. In addition to geographic boundaries, PAD-US describes the protection mechanism category (e.g. fee, easement, designation, other), owner and managing agency, designation type, unit name, area, public access and state name in a suite of standardized fields. An informative set of references (i.e. Aggregator Source, GIS Source, GIS Source Date) and "local" or source data fields provide a transparent link between standardized PAD-US fields and information from authoritative data sources. The areas in PAD-US are also assigned conservation measures that assess management intent to permanently protect biological diversity: the nationally relevant "GAP Status Code" and global "IUCN Category" standard. A wealth of attributes facilitates a wide variety of data analyses and creates a context for data to be used at local, regional, state, national and international scales. More information about specific updates and changes to this PAD-US version can be found in the Data Quality Information section of this metadata record as well as on the PAD-US website, http://gapanalysis.usgs.gov/padus/data/history/.) Due to the completeness and complexity of these data, it is highly recommended to review the Supplemental Information Section of the metadata record as well as the Data Use Constraints, to better understand data partnerships as well as see tips and ideas of appropriate uses of the data and how to parse out the data that you are looking for. For more information regarding the PAD-US dataset please visit, http://gapanalysis.usgs.gov/padus/. To find more data resources as well as view example analysis performed using PAD-US data visit, http://gapanalysis.usgs.gov/padus/resources/. The PAD-US dataset and data standard are compiled and maintained by the USGS Gap Analysis Program, http://gapanalysis.usgs.gov/ . For more information about data standards and how the data are aggregated please review the “Standards and Methods Manual for PAD-US,” http://gapanalysis.usgs.gov/padus/data/standards/ .

Groundwater Recharge and Pollution Susceptibility Areas: The Georgia Planning Act requires that land-use ordinances be made in an attempt to protect ground water, be passed and enforced by local governments having jurisdiction over significant groundwater recharge areas. Within significant recharge areas, the relative degree of protection required is further defined on the basis of whether the area has high pollution susceptibility.

Southern Ecological Framework: The Southeastern Ecological Framework is landscape ecology based model that identifies primary ecological areas that are protected by some type of conservation or ecosystem management program; identifies a green infrastructure network that connects these primary ecological areas. Priority Ecological Areas provide excellent candidates for Regionally Important Resources and SEF corridors provide excellent connecting green infrastructure linkages between them. DCA has converted these from the original grid model to vectors and clipped them to the Georgia state boundary for easy use in regional planning applications. Complete documentation of SEF, with Georgia application examples, is available in the EPA Final Report (5-20-2010)

Protected River Protected River River Corridor Protection Plans are required for designated streams by the Georgia Department of Natural Resources Rules for Environmental Planning Criteria 391-3-16-.04 and are also a DCA-required natural resources planning element. This is a DCA-compiled map that differs substantially from the 'Corridor' coverage in the 'Digital Environmental Atlas of Georgia' (Georgia Geologic Survey Publication CD-1). The DNR map (compiled by the USGS) errantly contains river reservoir areas and does not include all of the stream segments downstream to the jurisdiction of the Coastal Marshland Protection Act area. (1-3-2003)

Protected Mountain: As required by the Georgia Department of Natural Resources- Environmental Protection Division- Rules for Environmental Planning Criteria 391-3-16-.05. Mountain protection is also a DCA-required natural resources planning element. This is a DCA-compiled map, based on analysis of the 1:24,000-scale National Elevation Dataset. (3-15-2002)This layer is used in map(s): Environmental Planning

Groundwater Recharge and Pollution Susceptibility Areas: The Georgia Planning Act requires that land-use ordinances be made in an attempt to protect ground water, be passed and enforced by local governments having jurisdiction over significant groundwater recharge areas. Within significant recharge areas, the relative degree of protection required is further defined on the basis of whether the area has high pollution susceptibility.

Southern Ecological Framework: The Southeastern Ecological Framework is landscape ecology based model that identifies primary ecological areas that are protected by some type of conservation or ecosystem management program; identifies a green infrastructure network that connects these primary ecological areas. Priority Ecological Areas provide excellent candidates for Regionally Important Resources and SEF corridors provide excellent connecting green infrastructure linkages between them. DCA has converted these from the original grid model to vectors and clipped them to the Georgia state boundary for easy use in regional planning applications. Complete documentation of SEF, with Georgia application examples, is available in the EPA Final Report (5-20-2010)

Protected River Protected River River Corridor Protection Plans are required for designated streams by the Georgia Department of Natural Resources Rules for Environmental Planning Criteria 391-3-16-.04 and are also a DCA-required natural resources planning element. This is a DCA-compiled map that differs substantially from the 'Corridor' coverage in the 'Digital Environmental Atlas of Georgia' (Georgia Geologic Survey Publication CD-1). The DNR map (compiled by the USGS) errantly contains river reservoir areas and does not include all of the stream segments downstream to the jurisdiction of the Coastal Marshland Protection Act area. (1-3-2003)

Protected Mountain: As required by the Georgia Department of Natural Resources- Environmental Protection Division- Rules for Environmental Planning Criteria 391-3-16-.05. Mountain protection is also a DCA-required natural resources planning element. This is a DCA-compiled map, based on analysis of the 1:24,000-scale National Elevation Dataset. (3-15-2002)This layer is used in map(s): Environmental Planning

USGS groundwater data, information, data, and maps for Georgia. In particular - Figure 2: Surface-water and ground-water data-collection stations in Georgia.

From site: The USGS provides maps, reports, and information to help others meet their needs to manage, develop, and protect America's water, energy, mineral, and land resources. We help find natural resources needed to build tomorrow, and supply scientific understanding needed to help minimize or mitigate the effects of natural hazards and environmental damage caused by human activities. The results of our efforts touch the daily lives of almost every American.

This dataset is a compilation of well logs provided by the U.S. Geological Survey in cooperation with the Georgia Department of Natural Resources, published as an Excel Spreadsheet, a Web Map service, an ESRI service, and as a Web Feature service, for the National Geothermal Data System. The available downloadable document contains 8 worksheets, including information about the template, notes related to revisions of the template, resource provider information, the data, a field list (data mapping view) and a worksheet with vocabularies for use in populating the spreadsheet (data valid terms). Fields in the data table include Well Name, API Number, Ended Drilling Date, Well Type, Bottom Logged Interval, and Log Notes.

The Digital Shoals and Underwater Hazard Areas-GIS Map of Chattahoochee River National Recreation Area, Georgia is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (chsh_shoals_and_underwater_hazards.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (chsh_shoals_and_underwater_hazards.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (chsh_shoals_and_underwater_hazards.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) A GIS readme file (chat_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (chat_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (chsh_shoals_and_underwater_hazards_metadata_faq.pdf). Please read the chat_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: GeoCorps of America. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (chsh_shoals_and_underwater_hazards_metadata.txt or chsh_shoals_and_underwater_hazards_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

This resource is a compilation of heat flow measurements provided by the Georgia Department of Natural Resources. This is the most current dataset and uses schema version 1.23. The data are available in the following formats: web feature service, web map service, ESRI service endpoint, and an Excel workbook for download. The workbook contains 6 worksheets, including information about the template, notes related to revisions of the template, resource provider information, the data, a field list (data mapping view), and vocabularies (data valid terms) for use in populating the data worksheet. This resource was provided by the Virginia Division of Geology and Mineral Resources and made available for distribution through the National Geothermal Data Systems project. The data schema has been revised and this version is deprecated. The latest data can be found in the repository at http://repository.stategeothermaldata.org/repository/resource/eaf12e0c53a4222440a8b343a21d7f85/

This feature service displays conserved lands across Georgia. Dataset is updated annually with small updates and revisions throughout the year.

Geologic-Geographic Information Systems (GIS) data related to Appalachian National Scenic Trail is delivered in a data package Zip (.zip) file. These data are a product of the NPS Geologic Resources Inventory (GRI) program, which is funded by the Inventory and Monitoring (I&M) Division and administered by the NPS Geologic Resources Division (GRD).Geologic-GIS data for Appalachian National Scenic Trail consists of geologic map footprints of available maps that intersect the 7.5’ quadrangles of interest (QOI) for the park. Each footprint depicts the respective map’s extent and contains information conveying map name, scale, publication year and type. The footprints are joined using a footprint ID as a key to a standalone table that contains a formal map reference, a Boolean showing if GIS data is available, additional map notes, and a URL link t o where the map can be downloaded, if available. Geologic-GIS map footprints are provided in ESRI file geodatabase format supported by a Pro 3.X map (.mapx) file. The Pro 3.x map displays the footprint data in thematic layers categorizing and symbolizing the footprints by publication year, map type, and scale.

The Digital Geologic-GIS Map of Little River Canyon National Preserve and Vicinity, Alabama and Georgia is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (liri_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (liri_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (liri_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) this file (liri_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (liri_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (liri_geology_metadata_faq.pdf). Please read the liri_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: Geological Survey of Alabama and Auburn University, Department of Geosciences. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (liri_geology_metadata.txt or liri_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual _location as presented by this dataset. Users of this data should thus not assume the _location of features is exactly where they are portrayed in Google Earth, ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

This Water Basin Dataset of HUC codes 2-12 that intersect with the Metropolitan North Georgia Water Planning District is published by the Natural Resources Department at the Atlanta Region from the Water Boundary Dataset of the National Hydrography Dataset.Description of the Water Boundary Dataset from the USGS:The Watershed Boundary Dataset (WBD) is a comprehensive aggregated collection of hydrologic unit data consistent with the national criteria for delineation and resolution. It defines the areal extent of surface water drainage to a point except in coastal or lake front areas where there could be multiple outlets as stated by the "Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD)" “Standard” (https://pubs.usgs.gov/tm/11/a3/). Watershed boundaries are determined solely upon science-based hydrologic principles, not favoring any administrative boundaries or special projects, nor particular program or agency. This dataset represents the hydrologic unit boundaries to the 12-digit (6th level) for the entire United States. Some areas may also include additional subdivisions representing the 14- and 16-digit hydrologic unit (HU). At a minimum, the HUs are delineated at 1:24,000-scale in the conterminous United States, 1:25,000-scale in Hawaii, Pacific basin and the Caribbean, and 1:63,360-scale in Alaska, meeting the National Map Accuracy Standards (NMAS). Higher resolution boundaries are being developed where partners and data exist and will be incorporated back into the WBD. WBD data are delivered as a dataset of polygons and corresponding lines that define the boundary of the polygon. WBD polygon attributes include hydrologic unit codes (HUC), size (in the form of acres and square kilometers), name, downstream hydrologic unit code, type of watershed, non-contributing areas, and flow modifications. The HUC describes where the unit is in the country and the level of the unit. WBD line attributes contain the highest level of hydrologic unit for each boundary, line source information and flow modifications.For more information, see https://www.usgs.gov/national-hydrography/national-hydrography-dataset

The Unpublished Digital Geomorphologic-GIS Map of Fort Frederica National Monument and Vicinity, Georgia is composed of GIS data layers and GIS tables in a 10.1 file geodatabase (fofr_geology.gdb), a 10.1 ArcMap (.MXD) map document (fofr_geology.mxd), individual 10.1 layer (.LYR) files for each GIS data layer, an ancillary map information (.PDF) document (fofr_geomorphology.pdf) which contains source map unit descriptions, as well as other source map text, figures and tables, metadata in FGDC text (.TXT) and FAQ (.HTML) formats, and a GIS readme file (fofr_gis_readme.pdf). Please read the fofr_gis_readme.pdf for information pertaining to the proper extraction of the file geodatabase and other map files. To request GIS data in ESRI 10.1 shapefile format contact Stephanie O’Meara (stephanie.omeara@colostate.edu; see contact information below). The data is also available as a 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. Google Earth software is available for free at: http://www.google.com/earth/index.html. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: Georgia Southern University, Applied Coastal Research Lab. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (fofr_metadata_faq.html; available at http://nrdata.nps.gov/geology/gri_data/gis/fofr/fofr_metadata_faq.html). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:12,000 and United States National Map Accuracy Standards features are within (horizontally) 10.16 meters or 33.33 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm). The GIS data projection is NAD83, UTM Zone 17N, however, for the KML/KMZ format the data is projected upon export to WGS84 Geographic, the native coordinate system used by Google Earth. The data is within the area of interest of Fort Frederica National Monument.

The Digital Geomorphic-GIS Map of Cumberland Island National Seashore, Georgia is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) an ESRI file geodatabase (cuis_geomorphology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro 3.X map file (.mapx) file (cuis_geomorphology.mapx) and individual Pro 3.X layer (.lyrx) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) a readme file (cuis_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (cuis_geomorphology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (cuis_geomorphology_metadata_faq.pdf). Please read the cuis_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri.htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: RWParkinson Inc. and MDA Information Systems, Inc. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (cuis_geomorphology_metadata.txt or cuis_geomorphology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:60,000 and United States National Map Accuracy Standards features are within (horizontally) 30.5 meters or 100 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS Pro, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

The Digital Geologic-GIS Map of Chickamauga and Chattanooga National Military Park and Vicinity, Georgia and Tennessee is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (chch_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (chch_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (chch_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) a readme file (chch_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (chch_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (chch_geology_metadata_faq.pdf). Please read the chch_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri.htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: University of Tennessee, Tectonics and Structural Geology Research Group and Tennessee Division of Geology. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (chch_geology_metadata.txt or chch_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

The AEM method measures regolith and rocks' bulk subsurface electrical conductivity, typically to a depth of several hundred meters. AEM survey data is widely used in Australia for mineral exploration (i.e. mapping undercover and detection of mineralisation), groundwater assessment (i.e. hydro-stratigraphy and water quality) and natural resource management (i.e. salinity assessment). Geoscience Australia (GA) has flown Large regional AEM surveys over Northern Australia, including Queensland, Northern Territory and Western Australia. The surveys were flown nominally at 20-kilometre line spacing, using the airborne electromagnetic systems that have signed technical deeds of staging with GA to ensure they can be modelled quantitatively. Geoscience Australia commissioned the survey as part of the Exploring for the Future (EFTF) program. The EFTF program is led by Geoscience Australia (GA), in collaboration with the Geological Surveys of the Northern Territory, Queensland, South Australia and Western Australia, and is investigating the potential mineral, energy and groundwater resources in northern Australia and South Australia.

We have used a machine learning modelling approach that establishes predictive relationships between the inverted flight-line modelled conductivity with a suite of national environmental and geological covariates. These covariates include terrain derivatives, gamma-ray radiometric, geological maps, climate derived surfaces and satellite imagery. Conductivity-depth values were derived from a single model using GA's deterministic 1D smooth-30-layer layered-earth-inversion algorithm. (Brodie and Richardson 2015). Three conductivity depth interval predictions are generated to interpolate the actual modelled conductivity data, which is 20km apart. These depth slices include a 0-50cm, 9-11m and 22-27m depth prediction. Each depth interval was modelled and individually optimised using the gradient boosted tree algorithm. The training cross-validation step used label clusters or groups to minimise over-fitting. Many hundreds of conductivity models are generated (i.e. ensemble modelling). Here we use the median of the models as the conductivity prediction and the upper and lower percentiles (95th and 5th) to measure model uncertainty. Grids show conductivity (S/m) in log 10 units.

Reported out-of-sample r-squares for each interval in order of increasing depth are 0.74, 0.64, and 0.67. A decline in model performance with increasing depth was expected due to the decrease in suitable covariates at greater depths. Modelled conductivities seem to be consistent with the geological, regolith, geomorphological, and climate processes in the study area. The conductivity grids are at the resolution of the covariates, which have a nominal pixel size of 85 meters.

Datasets in this data package include;

1. 0-50cm depth interval 0_50cm_median.tif; 0_50_upper.tif; 0_50_lower.tif

2. 9-11m depth interval 9_11m_median.tif; 9_11m_upper.tif; 9_11m_lower.tif

3. 22-27m depth interval 22_27_median.tif; 22_27_upper.tif; 22_27_lower.tif

4. Covariate shift; Cov_shift.tif (higher values = great shift in covariates)

Reference: Ross C Brodie & Murray Richardson (2015) Open Source Software for 1D Airborne Electromagnetic Inversion, ASEG Extended Abstracts, 2015:1, 1-3, DOI: 10.1071/ ASEG2015ab197

In 1997, a magnitude 4.6 earthquake occurred 3 to 4 km beneath the Strait of Georgia, near Vancouver. This scenario visualizes the effects of that event if it occurred today with a magnitude of 5.0. A magnitude 7.0 Georgia Strait scenario is also provided, and represents a less likely but more consequential case for comparison.