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TwitterThe Digital Geologic-GIS Map of Saint Croix National Riverway and Vicinity, Minnesota and Wisconsin 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 (sacn_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 (sacn_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 (sacn_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 (sacn_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (sacn_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 (sacn_geology_metadata_faq.pdf). Please read the sacn_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: Minnesota Geological Survey, Wisconsin Geological and Natural History Survey and National Park Service. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (sacn_geology_metadata.txt or sacn_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 1:250,000 and United States National Map Accuracy Standards features are within (horizontally) 127 meters or 416.7 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).
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TwitterThese data provide an accurate high-resolution shoreline compiled from imagery of St Croix, VI . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://inport.nmfs.noaa.gov/inport/item/39808
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TwitterThe Digital Geologic Map of St. Croix and Buck Island Reef National Monument, U.S. Virgin Islands is composed of GIS data layers complete with ArcMap 9.2 layer (.LYR) files, two ancillary GIS tables, a Windows Help File with ancillary map text, figures and tables, a FGDC metadata record and a 9.2 ArcMap (.MXD) Document that displays the digital map in 9.2 ArcGIS. The data were completed as a component of the Geologic Resource Evaluation (GRE) program, a National Park Service (NPS) Inventory and Monitoring (I&M) funded program that is administered by the NPS Geologic Resources Division (GRD). Source geologic maps and data used to complete this GRE digital dataset are listed in the Source Citation sections(s) of this metadata record. All GIS and ancillary tables were produced as per the NPS GRE Geology-GIS Geodatabase Data Model v. 1.4. (available at: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm). The GIS data is available as a 9.2 personal geodatabase (buis_geology.mdb), and as shapefile (.SHP) and DBASEIV (.DBF) table files. The GIS data projection is NAD83, UTM Zone 20N. That data is within the area of interest of Buck Island Reef National Monument.
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TwitterThese water quality data are one of many studies being done to assess and monitor coral reef ecosystems.The intent of this work is three fold: (1) to spatially characterize and monitor the distribution, abundance, and size of both reef fishes and macro-invertebrates (conch, lobster, Diadema); (2) to relate this information to in-situ data collected on water quality and associated habitat parameters; (3) to use this information to establish the knowledge base necessary for enacting management decisions in a spatial setting and to establish the efficacy of those management decisions. Toward this end, the Center for Coastal Monitoring and Assessment's Biogeography Branch (BB) has completed its fourth year and is beginning its fifth year of work in the US Virgin Islands and Puerto Rico. It is critical, with recent changes in management at both locations (e.g. implementation of MPAs) as well as proposed changes (e.g. zoning to manage multiple human uses) that action is taken now to accurately describe and characterize the fish/macro-invertebrate populations in these areas. It is also important that BB work closely with the individuals responsible for recommending and implementing these management strategies. Recognizing this, BB has been collaborating with partners at the University of Puerto Rico, National Park Service, US Geological Survey and the Virgin Islands Department of Planning and Natural Resources.To quantify patterns of spatial distribution and make meaningful interpretations, we must first have knowledge of the underlying variables determining species distribution. The basis for this work therefore, is the nearshore benthic habitats maps (less than 100 ft depth) created by NOAA's Biogeography Program in 2001 and NOS' bathymetry models. Using ArcView GIS software, the digitized habitat maps are stratified to select sampling stations. Sites are randomly selected within these strata to ensure coverage of the entire study region and not just a particular reef or seagrass area. At each site, fish, macro-invertebrates, and associated water quality and habitat information is then quantified following standardized protocols. By relating the data collected in the field back to the habitat maps and bathymetric models, BB is able to model and map species level and community level information. These protocols are standardized throughout the US Caribbean to enable quantification and comparison of reef fish abundance and distribution trends between locations. Armed with the knowledge of where "hot spots" of species richness and diversity are likely to occur in the seascape, the BB is in a unique position to answer questions about the efficacy of marine zoning strategies (e.g. placement of no fishing, anchoring, or snorkeling locations), and what locations are most suitable for establishing MPAs. Knowledge of the current status of fish/macro-invertebrate communities coupled with longer term monitoring will enable evaluation of management efficacy, thus it is essential to future management actions.
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TwitterThis data layer represents a 2001 benthic habitat map visualizing the major and detailed structural features and biological cover of the benthos for St. Croix.
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TwitterCC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
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The project is a cooperative effort between NOAA's National Centers for Coastal Ocean Science (NCCOS), U.S. Geological Survey, National Park Service, and the National Geophysical Data Center, to produce benthic habitat maps and georeferenced imagery for the U.S. Virgin Islands. This project was was conducted in support of the U.S. Coral Reef Task Force.NCCOS acquired aerial photographs of the nearshore waters of Puerto Rico and the U.S. Virgin Islands in 1999. These images, along with field sampling for validation, were used to create geographic information system (GIS) maps of the study area’s coral reefs, seagrass beds, mangrove forests, and other important marine habitats. Mapped areas encompass the insular shelf between the shoreline and shelf edge, except where turbidity prevented visualization of the bottom. Products include GIS maps of benthic habitats, aerial photographs, an online benthic habitat atlas, along with a detailed methods manual for creating the benthic habitat maps.For more information, visit the project web site at https://coastalscience.noaa.gov/project/benthic-habitat-mapping-puerto-rico-virgin-islands/
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TwitterA Coastal Use Mapping Project is designed to collect information on how a community is using a coastal or marine area. The data helps resource managers understand both the range and intensity of key activities. These data were created as part of the Human Uses Mapping Workshops, held in St. Croix, U.S. Virgin Islands (USVI), in April, 2015. Representatives (see Credits) from different marine sectors (recreation, watersports, marina, charter boating, SCUBA diving, and fishing industries) as well as NGOs and territorial and federal governmental partners met to provide first-hand information on the spatial and temporal distribution of human use activities in the nearshore of St. Croix, USVI with a particular focus in the St. Croix East End Marine Park (STXEEMP). This information was captured using the method of “participatory mapping.” Participatory mapping provides participants a map on which to indicate the location of their human use activities, while moderators generate representative spatial data files in real time. E-Beam™ technology was used to aid the participatory mapping method. This work represents an ongoing effort by TNC, USVI DPNR, and NOAA’s Coral Reef Conservation Program (CRCP) to update human use data throughout USVI in support of resource managers. This project was conducted by The Nature Conservancy with support from the National Oceanic and Atmospheric Administration’s Coral Reef Conservation Program (NOAA CRCP) through Cooperative Agreement #NA13NOS4820145. Through this Partnership, TNC and NOAA work on site level management and conservation strategies for the STXEEMP. The STXEEMP management and staff supported the project by identifying stakeholders, creating outreach materials and advertising the event.
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TwitterThis feature class was created by aggregating the mangrove classed polygons from available benthic habitat maps and the National Oceanic and Atmospheric Administration's (NOAA) Coastal Change Analysis Program and dissolving them into a single map of mangrove presence in St. Croix.
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Twitter[From The Landmap Project: Introduction, "http://www.landmap.ac.uk/background/intro.html"]
A joint project to provide orthorectified satellite image mosaics of Landsat,
SPOT and ERS radar data and a high resolution Digital Elevation Model for the
whole of the UK. These data will be in a form which can easily be merged with
other data, such as road networks, so that any user can quickly produce a
precise map of their area of interest.
Predominately aimed at the UK academic and educational sectors these data and
software are held online at the Manchester University super computer facility
where users can either process the data remotely or download it to their local
network.
Please follow the links to the left for more information about the project or
how to obtain data or access to the radar processing system at MIMAS. Please
also refer to the MIMAS spatial-side website,
"http://www.mimas.ac.uk/spatial/", for related remote sensing materials.
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TwitterThe National Centers for Coastal Ocean Science (NCCOS), Center for Coastal Monitoring and Assessment, Biogeography Branch (CCMA-BB) worked with partners to assess and characterize the marine environment in and around the St. Croix East End Marine Park. The Park was established in 2003. At the time of creation there were substantial data gaps hindering baseline establishments to measure performance of the management zones. NCCOS and territorial partners characterized the land and seascape conditions and the marine communities within the park zones. These characterizations revealed relevant threats to the coral reef ecosystem health and are essential for management actions. Relating data collected in the field back to habitat and bathymetric maps, CCMA-BB is then able to model and map species level and community level information.
Data within this set contain Acropora species, Nassau grouper, and other fauna of special concern (i.e. conch, sea urchins, lobster, and the lionfish). There is also data containing benthic habitat survey zones and analyses, land characterization (such as dirt road location, land development index, and landcover data), fish richness, and the overall impact on the Park. Data is in geospatial maps and tables with associated metadata.
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TwitterFEMA, as the administrator of the National Flood Insurance Program (NFIP), has created Advisory Base Flood Elevations (ABFEs) and storm erosion areas for the United States Virgin Islands (USVI). The ABFE information, storm erosion data, and related layers depicted on this web service for the USVI can serve as a guide to understanding current flood and erosion hazard conditions that communities should build to in order to reduce impacts of similar events in the future. All elevations included on the map are referenced to the Virgin Island Vertical Datum of 2009 (VIVD 09).Data DownloadGIS data and PDF maps that support this web map can be downloaded at the locations indicated below:GIS Data in shapefile format can be downloaded by clicking hereGIS Data in ESRI's File GeoDatabase format can be downloaded by clicking herePDF Maps:Map panels for the entire territory, in Portable Document Format (PDF) can be downloaded by clicking here. The downloaded zip file contains map panels for the entire study area. A grid of all map panels (panel index) in PDF format for St.Thomas and St.John can be accessed here.A grid of all map panels (panel index) in PDF format for St.Croix can be accessed here.Individual map panels can be accessed directly from the map viewer, by locating the panel of interest and by clicking on the panel to activate a pop-up that contains the link to the panel.
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TwitterFour digital water-surface profile maps for a 14-mile reach of the Mississippi River near Prairie Island in Welch, Minnesota from the confluence of the St. Croix River at Prescott, Wisconsin to upstream of the United States Army Corps of Engineers (USACE) Lock and Dam No. 3 in Welch, Minnesota, were created by the U.S. Geological Survey (USGS) in cooperation with the Prairie Island Indian Community. The water-surface profile maps depict estimates of the areal extent and depth of inundation corresponding to selected water levels (stages) at the USGS streamgage Mississippi River at Prescott, Wisconsin (USGS station number 05344500). Current conditions for estimating near-real-time areas of water inundation by use of USGS streamgage information may be obtained on the internet at http://waterdata.usgs.gov/. Water-surface profiles were computed for the stream reach using HEC-GeoRAS software by means of a one-dimensional step-backwater HEC-RAS hydraulic model using the steady-state flow computation option. The hydraulic model used in this study was previously created by the USACE . The original hydraulic model previously created extended beyond the 14-mile reach used in this study. After obtaining the hydraulic model from USACE, the HEC-RAS model was calibrated by using the most current stage-discharge relations at the USGS streamgage Mississippi River at Prescott, Wisconsin (USGS station number 05344500). The hydraulic model was then used to determine four water-surface profiles for flood stages referenced to 37.00, 39.00, 40.00, and 41.00-feet of stage at the USGS streamgage on the Mississippi River at Prescott, Wisconsin (USGS station number 05344500). The simulated water-surface profiles were then combined with a digital elevation model (DEM, derived from light detection and ranging (LiDAR) in Geographic Information System (GIS) data having a 0.35-foot vertical and 1.97-foot root mean square error horizontal resolution) in order to delineate the area inundated at each stage. The calibrated hydraulic model used to produce digital water-surface profile maps near Prairie Island, as part of the associated report, is documented in the U.S. Geological Survey Scientific Investigations Report 2021-5018 (https://doi.org/10.3133/ sir20215018). The data provided in this data release contains three zip files: 1) MissRiverPI_DepthGrids.zip, 2) MissRiverPI_InundationLayers.zip, and 3) ModelArchive.zip. The MissRiverPI_DepthGrids.zip and MissRiverPI_InundationLayers.zip files contain model output water-surface profile maps as shapefiles (.shp) and Keyhole Markup Language files (.kmz) that can be opened using Esri GIS systems (.shp files) or Google Earth (.kmz files), while the ModelArchive.zip contains model inputs, outputs, and calibration data used in creating the water-surface profiles maps.
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TwitterThis dataset delineates the boundaries of the St. Croix and Leopold Wetland Management Districts as of May 2017. The primary source for this information is the USFWS Realty program, current in May 2017 and not beyond. The audience of this map is the general public, particularly those with an interest in Migratory Bird Conservation Fund acquisitions within the NWR system.
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TwitterThis Open-File Report provides digital data (shapefiles and .e00 files) for the bedrock geology in the Port Wing, Solon Springs, and parts of the Duluth and Sandstone quadrangles in Wisconsin. A Miscellaneous Investigations Series map (I map) is currently in review with analogous data in paper format.
This map portrays the geology of part of the Midcontinent rift system (MRS) along the southern extension of the Lake Superior syncline in northern Wisconsin. The map area contains the St. Croix horst, a rift graben filled with Mesoproterozoic rocks of the Keweenawan Supergroup that was subsequently inverted. The horst exposes about 15 - 20 km of strata that record the opening of the Midcontinent rift, its subsequent transition to a thermal subsidence basin, and eventual inversion. About 3 km of underlying Mesoproterozoic strata, including the Gogebic iron range, and about 10 km of Neoarchean rocks, exposed in the southernmost part of the map area lie to the southeast of the horst.
The nearly flat-lying continental red beds of the Oronto and Bayfield Groups, the youngest strata of the Keweenawan Supergroup, overlie the volcanic rocks.
A wealth of geologic data exists for the area as a result of many individual studies over the last hundred years, but much has remained unpublished in theses, dissertations, and other reports of limited availability. This map has incorporated most of that data (see list of data sources) and includes results of our investigations conducted from 1992 to 2000. Our studies were designed to fill gaps in existing data and reconcile conflicting interpretations on some aspects of the geology of the region.
The purpose of this map is to complete digital coverage of quadrangles with significant exposure of rocks of the Midcontinent rift in Wisconsin and Michigan at a scale of 1:100,000.
[Summary provided by the USGS.]
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TwitterThe "Map Image Layer - Watershed Boundaries" is the Map Image Layer of Watershed Boundaries. It has been designed specifically for use in ArcGIS Online (and will not directly work in ArcMap or ArcPro). This data has been modified from the original source data to serve a specific business purpose. This data is for cartographic purposes only.The Watershed Boundaries Data Group contains the following layers: DNR Catchments (MnDNR)HUC 12 Boundaries (USGS)HUC 12 IWM Group Boundaries (MPCA)HUC 10 Boundaries (USGS)HUC 8 Boundaries (USGS): HUC 8s represent part or all of a surface drainage basin, a combination of drainage basins, or a distinct hydrologic feature. There are 80 HUC 2s in Minnesota. (i.e. Zumbro (07040004))HUC 6 Boundaries (USGS): HUC 6s are areas which divide the subregions into more than 350 hydrologic accounting units. Minnesota has 17 of the nations hydrologic accounting units: Northwestern Lake Superior (040101), St. Louis (040102), Southwestern Lake Superior (040103), Mississippi Headwaters (070101), Upper Mississippi-Crow-Rum (070102), Minnesota (070200), St. Croix (070300), Upper Mississippi-Black-Root (070400), Upper Mississippi-Maquoketa-Plum (070600), Upper Mississippi-Skunk-Wapsipinicon (070801), Iowa (070802), Des Moines (071000), Upper Red (090201), Lower Red (090203), Rainy (090300), Big Sioux (101702), Missouri-Little Sioux (102300).HUC 4 Boundaries (USGS): HUC 4s are geographic subregions which are drained by a river system, a reach of river and its tributaries in that reach, a closed basin, or a group of streams forming a coastal drainage areas. Minnesota has 12 of the nations 222 subregions: Western Lake Superior (0401), Mississippi Headwaters (0701), Minnesota (0702), St. Croix (0703), Upper Mississippi-Black-Root (0704), Upper Mississippi-Maquoketa-Plum (0706), Upper Mississippi-Iowa-Skunk-Wapsipinicon (0708), Des Moines (0710), Red (0902), Rainy (0903), Missouri-Big Sioux (1017), Missouri-Little Sioux (1023).HUC 2 Boundaries (USGS): HUC 2s are geographic regions which contain the drainage of a major river or a series of rivers. Minnesota has 4 of the nations 21 regions: Great Lakes (R04), Upper Mississippi (R07), Souris-Red-Rainy (R09), and Missouri (R10).These datasets have not been optimized for fast display (but rather they maintain their original shape/precision), therefore it is recommend that filtering is used to show only the features of interest. For more information about using filters please see "Work with map layers: Apply Filters": https://doc.arcgis.com/en/arcgis-online/create-maps/apply-filters.htmFor additional information about the Watershed Boundary Dataset please see:United States Geological Survey Water-Supply Paper 2294: https://pubs.usgs.gov/wsp/wsp2294/Hydrologic Units, The National Atlas of the United State of America: https://pubs.usgs.gov/gip/hydrologic_units/pdf/hydrologic_units.pdfNational Hydrography Dataset, Watershed Boundary Dataset: https://www.usgs.gov/core-science-systems/ngp/national-hydrography/watershed-boundary-dataset
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TwitterThis dataset delineates the boundaries of the St. Croix and Leopold Wetland Management Districts as of May 2017. The primary source for this information is the USFWS Realty program, current in May 2017 and not beyond. The audience of this map is the general public, particularly those with an interest in Migratory Bird Conservation Fund acquisitions within the NWR system.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Waterway Network This National Geospatial Data Asset (NGDA) dataset, shared as a United States Army Corps of Engineers (USACE) feature layer, displays national navigable waterway routes. Per USACE, “The National Waterway Network (NWN) is a geographic database of navigable waterways and channels in and around the United States, for analytical studies of navigation performance, for compiling commodity flow statistics, and for mapping purposes.” St Croix River Data currency: Current federal service (Waterway Network)NGDAID: 153 (Navigable Waterway Routes (National) - National Geospatial Data Asset (NGDA) Waterway Lines)For more information, please visit: Definition of Navigable Waters of the USSupport documentation: Navigable Waterway Network LinesFor feedback, please contact: Esri_US_Federal_Data@esri.com NGDA Theme Community This data set is part of the NGDA Transportation Theme Community. Per the Federal Geospatial Data Committee (FGDC), Transportation is defined as the "means and aids for conveying persons and/or goods. The transportation system includes both physical and non-physical components related to all modes of travel that allow the movement of goods and people between locations". For other NGDA Content: Esri Federal Datasets
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This map was developed as a complement to the USVI Coral Reef Restoration Plan. The Plan draws heavily upon the Mission: Iconic Reefs approach, developed by NOAA’s Coral Reef Conservation Program (CRCP) and partners in Florida (NOAA 2020). The USVI Plan allows territorial managers and local experts a strong guiding voice in restoration efforts and the ability to highlight specific prioritized reefs. This Plan is focused only on USVI coral reefs occurring in marine waters managed by the USVI government. The Plan and map facilitate improved communication and coordination across multiple inter-island partners and provide a benchmark of stated goals and targets in order to track coral restoration progress at 6 prioritized sites, four on St. Croix and two on St. Thomas. Please visit the Coral Reef Initiative at https://dpnr.vi.gov/coastal-zone-management/what-we-do/coral-reef-initiative/ to find the US Virgin Islands Coral Reef Restoration Plan for more information.
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TwitterThis section provides the Simplified Geographic Description for each unit designated as Nassau Grouper Critical Habitat.The 20 Designated Critical Habitat Units for Nassau Grouper include: Navassa Island Unit. Waters surrounding Navassa Island. Area = 2.46 sq. km.Puerto Rico Unit 1 - Mona Island and Monito. Waters surrounding Mona Island and Monito to the 50m contour. Area = 30.65 sq. km.Puerto Rico Unit 2 - Desecheo Island. Waters surrounding the island to the 50m contour. Area = 4.28 sq. km.Puerto Rico Unit 3 - Southwest. Waters off the southwest coast of the Puerto Rico main island. Area = 112.39 sq. km.Puerto Rico Unit 4 - Northeast. Waters off the northeast coast of the Puerto Rico main island. Area = 48.75 sq. km.Puerto Rico Unit 5 - Vieques Island. Waters off the west and northeast, east, and southeast coasts of the island. Area = 9.49 sq. km.Puerto Rico Unit 6 - Culebra/Culebrita Islands. The Culebra area consists of waters off the southeastern Culebra coastline. The Culebrita area consists of waters off the western and southern coasts of the island. Area = 4.15 sq. km.United States Virgin Island Unit 1- St Thomas. Waters off the east coast of St. Thomas Island and waters off the southwest, south, and southeast coast of the Water Island. Area = 9.18 sq. km.United States Virgin Island Unit 2- St. John. Waters off the east coast of the island. Area = 6.55 sq. km.United States Virgin Island Unit 3- St. Croix. Waters off the east end of St. Croix Island and waters off the north coast of Buck Island. Area = 50.35 sq. km.Florida Unit 1 – Biscayne Bay/Key Largo. Waters south of Rickenbacker Causeway, including portions of waters from the coastline into Biscayne Bay, and waters off the eastern coastline to 80°29'21" W, 25° 01' 59" N. Area = 1,279.69 sq. km.Florida Unit 2 - Marathon. Waters off the southern shoreline approximately between Knights Key to 80°55'51"W, 24° 46' 26" N. Area = 172.38 sq. km.Florida Unit 3 - Big Pine Key to Geiger Key. Waters off the south side of coastline and US 1 from approximately Geiger Key to Big Pine Key. Area = 372.37 sq. km.Florida Unit 4 - Key West. Shoal waters south of Woman Key. Area = 127.09 sq. km.Florida Unit 5 - New Ground Shoal. New Ground Shoal waters. Area = 31.04 sq. km.Florida Unit 6 - Halfmoon Shoal. Halfmoon Shoal waters. Area = 33.62 sq. km.Florida Unit 7 - Dry Tortugas. Waters encompassing Loggerhead Key and waters surrounding Garden Key and Bush Key. Area = 4.43 sq. km.Spawning Site Unit 1 - Bajo de Sico. All waters encompassed by 100m isobath bounded in the Bajo de Sico spawning area bound within the following coordinates: A) 67°26’13”W, 18°15’23”N, B) 67°23’ 08”W, 18°15’26”N, C) 67°26’ 06”W, 18°12’55”N, and D) 67°26’ 13”W, 18°12’56”N. Area = 10.74 sq. km.Spawning Site Unit 2 - Grammanik Bank/Hind Bank. All waters which make up the Hind Bank and the Grammanik Bank, interconnecting waters between these banks, and waters extending out to the 200 fathom line directly south from Grammanik Bank. Area = 59.69 sq. km. Spawning Site Unit 3 - Riley's Hump. All waters encompassing Riley's Hump (centroid 83.1085642°W 24.4948905°N) out to the -35m isobath on the north, west, and east side of the hump, and extending out to the 50m isobath on the south side of the hump to include the escarpment on the southern face of the bank. Area=15.35 sq. km.Source of Base Data for Unit Boundaries: The shoreline was created using the existing Acropora critical habitat designation (from NOAA NCCOS Benthic Habitat Mapping 2000-2002 - land and mangrove attribute combined for shoreline). For PR and USVI units, shoreline data using The NCCOS Benthic Habitat Mapping program provides baseline data and maps at https://coastalscience.noaa.gov/project/benthic-habitat-mapping-puerto-rico-virgin-islands/. For the Continental US, this shoreline is consistent with the US Medium Resolution Shoreline. Contours were derived from the National Geophysical Data Center’s 2004 U.S. Coastal Relief Model https://www.ngdc.noaa.gov/mgg/coastal/crm.html. The NCCOS Benthic Habitat Mapping program provides data and maps at http://products.coastalscience.noaa.gov/collections/benthic/default.aspx, which was used to pull in substrate data. For the Florida Units, benthic substrate and bathymetry data were pulled from the FWC Florida Unified Reef Tract at https://myfwc.com/research/gis/fisheries/unified-reef-map/. Benthic data was also used from The Nature Conservancy and can be downloaded here: https://sites.google.com/view/caribbean-marine-maps. For Spawning Site Unit 3 - Riley's Hump, bathymetry contours (i.e. isobaths) were pulled from the NCEI's CUDEM, or Continuously Updated Digital Elevation Models. (https://noaa.maps.arcgis.com/home/item.html?id=bf72d32c6a00407bb67a285845a7fa32) The CUDEM Raster was downloaded (Global Mosaic Elevation Values) and clipped to the site in ArcPro. The Contour Tool was set to 5m intervals. The CUDEM is built in 10m increments, as noted using the 1/3 arcseconds. Did not use the 1/9 arc second model, which corresponds to 3 meter increments. The CUDEM uses LiDAR data and is an orthometric vertical datum, and compiles data from NGDC, NOS, USGS, NMFS, etc. For more information, please vist: https://www.ncei.noaa.gov/products/coastal-relief-model. Riley's Hump (the geographic feature, not the critical habitat unit) was identified as the fully enclosed -30m hump located at 83.1085642°W 24.4948905°N (centroid). Standardized metadata has been prepopulated for the Fields and Values and the standard spatial reference is the World Geodetic System 1984 geographic coordinate system (GCS_WGS_1984, EPSG well-known identifier 4326).Attribute Values:Shape = Feature Class, Polygon Data.ID = Species IDScientific Name = Genus speciesCommon Name = Common Name of speciesListing Status = Federal status of a taxon under the federal Endangered Species Act. Critical Habitat Status = Status of Critical Habitat Designation (i.e. Proposed or Designated)Unit = Location of Identified Critical HabitatTaxon = TaxonLead Office = NMFS Regional OfficeFederal Register Notice = Public official notice of RulePublication Date = Publication Date of Federal Register Notice Effective Date = Effective Date of RuleArea SqKm = Area of Unit in Square KilometersCreate Date = Last Date Polygon and Attribute Data were ModifiedNotes = notesInPort URL = MetaData URL Link (InPort)Habitat Type = general location of critical habitatseCFR = Electronic Code of Federal RegulationsShape_Length = dynamic geodatabase field. Automatically calculated in the units of the output coordinate system specified by the Spatial Reference parameter by ESRI. Shape_Area = dynamic geodatabase field. Automatically calculated in the units of the output coordinate system specified by the Spatial Reference parameter by ESRI.
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TwitterThe Digital Geologic-GIS Map of Saint Croix National Riverway and Vicinity, Minnesota and Wisconsin 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 (sacn_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 (sacn_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 (sacn_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 (sacn_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (sacn_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 (sacn_geology_metadata_faq.pdf). Please read the sacn_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: Minnesota Geological Survey, Wisconsin Geological and Natural History Survey and National Park Service. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (sacn_geology_metadata.txt or sacn_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 1:250,000 and United States National Map Accuracy Standards features are within (horizontally) 127 meters or 416.7 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).