14 datasets found
  1. VA Fathom 2020, 100-yr, Flood Extent Map

    • data.virginia.gov
    • floodplan-vdcr.hub.arcgis.com
    Updated Jan 10, 2025
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    Virginia Department of Conservation and Recreation (2025). VA Fathom 2020, 100-yr, Flood Extent Map [Dataset]. https://data.virginia.gov/dataset/va-fathom-2020-100-yr-flood-extent-map
    Explore at:
    html, zip, geojson, kml, csv, arcgis geoservices rest apiAvailable download formats
    Dataset updated
    Jan 10, 2025
    Dataset authored and provided by
    Virginia Department of Conservation and Recreationhttp://www.dcr.virginia.gov/
    Description

    Floodplain extent from the Fathom 2020, 100-yr return period data. This non-regulatory floodplain extents is for planning purposes only.

    Other flood hazard dataset may exist in Virginia (FEMA, DCR Coastal Resilience Master Plan). DCR recommends that user utilize the best available dataset.


  2. FathomDEM v1-0 Eurasia and Africa

    • zenodo.org
    Updated Jun 12, 2025
    + more versions
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    Zenodo (2025). FathomDEM v1-0 Eurasia and Africa [Dataset]. http://doi.org/10.5281/zenodo.14511570
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    Dataset updated
    Jun 12, 2025
    Dataset provided by
    Zenodohttp://zenodo.org/
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Area covered
    Eurasia
    Description

    FathomDEM Digital Elevation model for locations east of 30W (including Europe, Africa, Asia and part of Oceania).

    FathomDEM is a global 30m DEM produced using a novel application of a hybrid vision transformer model. This model removes surface artifacts from a global radar DEM, Copernicus DEM, aligning it more closely with true topography.

    This dataset is documented in the peer reviewed article FathomDEM: an improved global terrain map using a hybrid vision
    transformer model

    FathomDEM data for locations west of 30W is available in the dataset FathomDEM v1-0 Americas

  3. r

    Victorian Statewide Marine Habitat Map 2023

    • researchdata.edu.au
    Updated May 7, 2025
    + more versions
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    Department of Environment, Land, Water and Planning (DELWP), Victorian Government (2025). Victorian Statewide Marine Habitat Map 2023 [Dataset]. https://researchdata.edu.au/statewide-marine-habitat-map-2023/2282463
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    Dataset updated
    May 7, 2025
    Dataset provided by
    Australian Ocean Data Network
    Authors
    Department of Environment, Land, Water and Planning (DELWP), Victorian Government
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 23, 2023
    Area covered
    Description

    The Statewide Marine Habitat Map 2023 was developed by DEECA applying novel machine learning methods that model and predict habitat distributions as well as a mosaic of former mapping products (listed below). The Statewide map represents 24 marine and coastal habitats complexes at Level 3, Victoria's Combined Biotope Classification Scheme (CBiCS) described by Edmunds and Flynn (2015, 2018; 2021). The final map comprises of 83% its area from predictive modelling, with the remaining 17% of area from synthesised existing habitat maps.

    Predictive Model: A total of 32,998 habitat survey sites (ground-truth records) were used within the model, along with 28 environmental properties mapped at a 10m resolution (including a Digital Elevation Model DEM (VCDEM2021), computed benthic terrain characteristics (toolkit: Walbridge et al. 2018), Chlorophyl a (IMOS 2000a), Sea Surface Temperature SST (IMOS 2000a), Net Primary Productivity NPP (IMOS 2000b), Sediments (Geoscience Australia; Li et al. 2011a,b,c), waves (Liu et al. 2022). To predict the distribution of habitats across Victorian waters the powerful and flexible Random Forest machine learning algorithm was applied. Random Forest is an ensemble model using bagging as the ensemble method and decision trees as the individual model (Breiman 2001). The modelling produced an accuracy (Out-of-bag) of 89%.

    Map Synthesis: A mosaic of former mapping products that provided higher resolution mapping by aerial imagery, field observations and high-resolution modelling were integrated into the map, classifying habitat according to the CBICS habitat classification scheme at level 3. Assessed and synthesised maps and citations include: Corangamite Coast Marine Habitat December 2009 (ANZVI0803005530); East Gippsland Marine Habitats November 2009 (ANZVI0803003974); Discovery Bay Marine National Park habitat mapping 2006 (ANZVI0803004053); Portland Coastal Habitats (ANZVI0803004236) ; Corner Inlet Mapping Marine National Park North and South 2004 (ANZVI0803004051) ; Merri Marine Sanctuary 2004 (ANZVI0803004058); Western Port Bay Biotope Mapping Fathom Pacific (2016) CBiCS-Mapping. Central Victoria Coastal Habitats (ANZVI0803004135); Mallacoota Coastal Habitats (ANZVI0803004235); Western Port Rhodolite (ANZVI0803005430) & Western Port Biogenic Reefs; Port Phillip Bay Habitat Map 2021 (ANZVI0803009278); Saltmarsh and Mangrove Habitats; DELWP 2021 Statewide Marine Habitat Map 2021 (ANZVI0803009286) and relevant citations: Ball (1999), Ball et al. (2010). Ball & Blake (2007a), Ball & Blake (2007b), Blake and Ball (2001), Blake et al. (2013), Boon et al. (2011), Cohen et al (2000), Deakin Marine Mapping (Zavalas, R et al. 2018), DELWP (1994), Edmunds &Flynn (2015), Fathom Pacific (2020), Ford et al (2016), GeoHab Victoria Estuaries Geomorphology (2010), Ierodiaconou 2007, Ierodiaconou et al. 2018, Mazor et al. (2021), Monk et al. (2011), Poore (1992), Roob and Ball (1997), Victoria Department of Transport (1999), Young et al. 2022, Zavalas, R et al. 2018.

    Applications: The Statewide Marine Habitat Map 2023 provides broad habitat complexes across the state and provides greater knowledge of the ecological diversity across Victoria¿s waters. The map should be used at broad scales of >25 m, and where information of larger habitat complexes is needed. This work can support the management of large-scale habitats, their condition, marine spatial planning, strategic management prospect (SMP), FeAST risk assessments, and other broad scale applications to support management decisions across Victoria. The habitat model and resulting map provides an updated broad-scale habitat map across Victoria¿s state waters and provides a baseline for future data to build upon.

  4. l

    Statewide Marine Habitat Map 2023

    • devweb.dga.links.com.au
    html
    Updated Jun 5, 2025
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    Environment Protection Authority (EPA) Victoria (2025). Statewide Marine Habitat Map 2023 [Dataset]. https://devweb.dga.links.com.au/data/dataset/statewide-marine-habitat-map-2023
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Jun 5, 2025
    Dataset authored and provided by
    Environment Protection Authority (EPA) Victoria
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Description

    The Statewide Marine Habitat Map 2023 was developed by DEECA applying novel machine learning methods that model and predict habitat distributions as well as a mosaic of former mapping products (listed below). The Statewide map represents 24 marine and coastal habitats complexes at Level 3, Victoria's Combined Biotope Classification Scheme (CBiCS) described by Edmunds and Flynn (2015, 2018; 2021). The final map comprises of 83% its area from predictive modelling, with the remaining 17% of area from synthesised existing habitat maps.
    Predictive Model: A total of 32,998 habitat survey sites (ground-truth records) were used within the model, along with 28 environmental properties mapped at a 10m resolution (including a Digital Elevation Model DEM (VCDEM2021), computed benthic terrain characteristics (toolkit: Walbridge et al. 2018), Chlorophyl a (IMOS 2000a), Sea Surface Temperature SST (IMOS 2000a), Net Primary Productivity NPP (IMOS 2000b), Sediments (Geoscience Australia; Li et al. 2011a,b,c), waves (Liu et al. 2022). To predict the distribution of habitats across Victorian waters the powerful and flexible Random Forest machine learning algorithm was applied. Random Forest is an ensemble model using bagging as the ensemble method and decision trees as the individual model (Breiman 2001). The modelling produced an accuracy (Out-of-bag) of 89%.
    Map Synthesis: A mosaic of former mapping products that provided higher resolution mapping by aerial imagery, field observations and high-resolution modelling were integrated into the map, classifying habitat according to the CBICS habitat classification scheme at level 3. Assessed and synthesised maps and citations include: Corangamite Coast Marine Habitat December 2009 (ANZVI0803005530); East Gippsland Marine Habitats November 2009 (ANZVI0803003974); Discovery Bay Marine National Park habitat mapping 2006 (ANZVI0803004053); Portland Coastal Habitats (ANZVI0803004236) ; Corner Inlet Mapping Marine National Park North and South 2004 (ANZVI0803004051) ; Merri Marine Sanctuary 2004 (ANZVI0803004058); Western Port Bay Biotope Mapping Fathom Pacific (2016) CBiCS-Mapping. Central Victoria Coastal Habitats (ANZVI0803004135); Mallacoota Coastal Habitats (ANZVI0803004235); Western Port Rhodolite (ANZVI0803005430) & Western Port Biogenic Reefs; Port Phillip Bay Habitat Map 2021 (ANZVI0803009278); Saltmarsh and Mangrove Habitats; DELWP 2021 Statewide Marine Habitat Map 2021 (ANZVI0803009286) and relevant citations: Ball (1999), Ball et al. (2010). Ball & Blake (2007a), Ball & Blake (2007b), Blake and Ball (2001), Blake et al. (2013), Boon et al. (2011), Cohen et al (2000), Deakin Marine Mapping (Zavalas, R et al. 2018), DELWP (1994), Edmunds &Flynn (2015), Fathom Pacific (2020), Ford et al (2016), GeoHab Victoria Estuaries Geomorphology (2010), Ierodiaconou 2007, Ierodiaconou et al. 2018, Mazor et al. (2021), Monk et al. (2011), Poore (1992), Roob and Ball (1997), Victoria Department of Transport (1999), Young et al. 2022, Zavalas, R et al. 2018. Applications: The Statewide Marine Habitat Map 2023 provides broad habitat complexes across the state and provides greater knowledge of the ecological diversity across Victoria¿s waters. The map should be used at broad scales of >25 m, and where information of larger habitat complexes is needed. This work can support the management of large-scale habitats, their condition, marine spatial planning, strategic management prospect (SMP), FeAST risk assessments, and other broad scale applications to support management decisions across Victoria. The habitat model and resulting map provides an updated broad-scale habitat map across Victoria¿s state waters and provides a baseline for future data to build upon. Full Methodology: Citation: Mazor, T., Watermeyer, K., Hobley, T., Grinter, V., Holden, R., MacDonald, K. and Ferns, L. (2023). Statewide Marine Habitat Map. Habitat Complex Modelling Method (CBiCS Level 3). The State of

  5. Twenty Fathom Groundfish Boundary Line - R7 - CDFW [ds3160]

    • gis.data.ca.gov
    • data.cnra.ca.gov
    • +3more
    Updated Mar 29, 2024
    + more versions
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    California Department of Fish and Wildlife (2024). Twenty Fathom Groundfish Boundary Line - R7 - CDFW [ds3160] [Dataset]. https://gis.data.ca.gov/datasets/CDFW::twenty-fathom-groundfish-boundary-line-r7-cdfw-ds3160
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    Dataset updated
    Mar 29, 2024
    Dataset authored and provided by
    California Department of Fish and Wildlifehttps://wildlife.ca.gov/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    This feature depicts the 20-fathom boundary line that can be used in California groundfish regulations. The 20-fathom boundary line is a connection of a series of GPS coordinates published in California regulations (California Code of Regulations Title 14, Section 35.00) that are intended to approximate underwater depth contours. This boundary, as well as the federal Rockfish Conservation Areas, are used in recreational and commercial groundfish regulations to avoid interactions with certain groundfish species of concern. For both the recreational and commercial fisheries, boundary lines may change during the year, between seasons and management area. Attributes area_name: Identifying name for a particular line at a particular depth contour, primarily distinguishes between coastwide lines and lines around islands. region: The groundfish management area that the section of the line is in.

  6. Fathom Logistics Inc Company profile with phone,email, buyers, suppliers,...

    • volza.com
    csv
    Updated Jun 24, 2025
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    Volza FZ LLC (2025). Fathom Logistics Inc Company profile with phone,email, buyers, suppliers, price, export import shipments. [Dataset]. https://www.volza.com/company-profile/fathom-logistics-inc-3062910/
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    csvAvailable download formats
    Dataset updated
    Jun 24, 2025
    Dataset provided by
    Volza
    Authors
    Volza FZ LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2014 - Sep 30, 2021
    Variables measured
    Count of exporters, Count of importers, Sum of export value, Sum of import value, Count of export shipments, Count of import shipments
    Description

    Credit report of Fathom Logistics Inc contains unique and detailed export import market intelligence with it's phone, email, Linkedin and details of each import and export shipment like product, quantity, price, buyer, supplier names, country and date of shipment.

  7. Flood Map Validation and Socio-Economic Vulnerability Data from Hurricane...

    • figshare.com
    bin
    Updated Jun 14, 2025
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    Md Zakaria Salim; Yi Qiang; Barnali Dixon; Eugene Yan; Sofía Sahagún-Covarrubias (2025). Flood Map Validation and Socio-Economic Vulnerability Data from Hurricane Helene in Pinellas County, Florida [Dataset]. http://doi.org/10.6084/m9.figshare.29275763.v1
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    binAvailable download formats
    Dataset updated
    Jun 14, 2025
    Dataset provided by
    Figsharehttp://figshare.com/
    figshare
    Authors
    Md Zakaria Salim; Yi Qiang; Barnali Dixon; Eugene Yan; Sofía Sahagún-Covarrubias
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Pinellas County, Florida
    Description

    This dataset supports the analysis conducted in the study "Did Official Flood Maps Work in Hurricane Helene? Systematic Evaluation of Official Flood Maps with Ground-truth Observations." It includes: (1) camera-based ground-truth flood extent data from Hurricane Helene in Pinellas County, Florida; (2) official flood maps from FEMA, FDEM, and Fathom; (3) population exposure and flood map performance metrics at the census block group level; (4) auxiliary datasets such as land cover and high-resolution population grids; and (5) Python scripts for calculating the Social Vulnerability Index (SoVI). The data enable spatial validation of flood risk models and investigation of socio-spatial disparities in flood map accuracy.

  8. b

    Carte de masse

    • ldf.belgif.be
    Updated May 20, 2017
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    (2017). Carte de masse [Dataset]. https://ldf.belgif.be/datagovbe?subject=https%3A%2F%2Fmetadata.vlaanderen.be%2Fsrv%2Fresources%2Fdatasets%2Fb9020d60-99cd-4cc7-a882-d4b4b83fe023
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    Dataset updated
    May 20, 2017
    Variables measured
    http://publications.europa.eu/resource/authority/data-theme/ENVI
    Description

    Die Masse-Karten wurden 1729-1730 erstellt, als die französischen Ingenieurgeographen Claude und François Masse (Vater und Sohn) das Grenzgebiet zwischen Frankreich und den südlichen Niederlanden kartographierten (aus dem später Belgien hervorging). Der Grund für diese Kartierung war der Krieg um die spanische Thronfolge, der in Europa zwischen 1701 und 1713 tobte. Der Konflikt drehte sich darum, wer Anspruch auf den spanischen Thron hatte, nachdem der letzte Nachkomme kinderlos gestorben war. Frankreich wurde von dieser Schlacht verletzt und verlor einen Teil seines Territoriums, einschließlich in Westflandern. Die neue Grenze zeigte ein kompliziertes Muster mit Enklaven entlang der Grenze. Für Frankreich war dies eine „Entschuldigung“ für eine Kartierung der gesamten Region. Die Kartierung begann 1724. Aber die Geländeaufnahmen für die Kartenblätter von Ypern, Menen, Kortrijk, Wervik, Veurne, Nieuwpoort, Ostende geschahen in 1729-1730.Ursprünglicher Maßstab 1:28.800 (1 Zoll = 400 Faden)

  9. a

    FABDEM

    • academictorrents.com
    bittorrent
    Updated Mar 24, 2022
    + more versions
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    Laurence Hawker and Jeffrey Neal and Peter Uhe and Luntadila Paulo and Jeison Sosa and James Savage and Christopher Sampson (2022). FABDEM [Dataset]. https://academictorrents.com/details/a3ce54e3de8177011a3c6e1b9ed130e0467c3f4e
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    bittorrent(496392754974)Available download formats
    Dataset updated
    Mar 24, 2022
    Dataset authored and provided by
    Laurence Hawker and Jeffrey Neal and Peter Uhe and Luntadila Paulo and Jeison Sosa and James Savage and Christopher Sampson
    License

    https://academictorrents.com/nolicensespecifiedhttps://academictorrents.com/nolicensespecified

    Description

    FABDEM (Forest And Buildings removed Copernicus DEM) is a global elevation map that removes building and tree height biases from the Copernicus GLO 30 Digital Elevation Model (DEM). The data is available at 1 arc second grid spacing (approximately 30m at the equator) for the globe. The FABDEM dataset is licensed under a Creative Commons "CC BY-NC-SA 4.0" license. For commercial use queries, please contact fabdem@fathom.global This dataset is published in support of the paper "A 30 m global map of elevation with forests and buildings removed" published by IOP in Environmental Research Letters at .

  10. Rockfish Conservation Area - R7 - CDFW [ds3144]

    • gis.data.ca.gov
    • data.cnra.ca.gov
    • +4more
    Updated Dec 31, 2024
    + more versions
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    California Department of Fish and Wildlife (2024). Rockfish Conservation Area - R7 - CDFW [ds3144] [Dataset]. https://gis.data.ca.gov/datasets/CDFW::rockfish-conservation-area-r7-cdfw-ds3144
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    Dataset updated
    Dec 31, 2024
    Dataset authored and provided by
    California Department of Fish and Wildlifehttps://wildlife.ca.gov/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    Rockfish Conservation Areas (RCAs) are closed areas for west coast groundfish fisheries and for some fisheries that may incidentally take groundfish as bycatch. The RCA boundary line is a connection of a series of GPS coordinates published in federal regulations (See 50 CFR 660.71-660.74) that are intended to approximate underwater depth contours. RCA boundaries are used in groundfish regulations to avoid interactions with certain groundfish species of concern and may change between seasons and Recreational Fishing Management Areas. The process of digitizing these boundary lines is as follows: 30, 40, 50, 100, and 150fm waypoint .csv files were downloaded from NOAA’s West Coast Groundfish Closed Areas website https://www.fisheries.noaa.gov/west-coast/sustainable-fisheries/west-coast-groundfish-closed-areas and imported into ArcGIS Pro. Each point feature was clipped to ocean waters offshore of California and merged together. “Fathom” was added as a field to each shapefile and populated with the corresponding depth in fathoms. Boundary lines for each shapefile (30, 40, 50, 100, and 150 fm) were created using the “Points to line” tool. Line Field: “area_name”. Attribute Source: Start Point. Transfer Fields: FID, area_name, Fathom. Attributes: area_name: Unique name field displaying depth and location. Fathom: Approximate depth in fathoms of contour line. Region: Describes which of the five groundfish management zones the section of the contour line is in.

  11. Groundfish Exclusion Areas - R7 - CDFW [ds3164]

    • data.cnra.ca.gov
    • data.ca.gov
    • +3more
    Updated Apr 4, 2024
    + more versions
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    California Department of Fish and Wildlife (2024). Groundfish Exclusion Areas - R7 - CDFW [ds3164] [Dataset]. https://data.cnra.ca.gov/dataset/groundfish-exclusion-areas-r7-cdfw-ds3164
    Explore at:
    arcgis geoservices rest api, geojson, kml, csv, zip, htmlAvailable download formats
    Dataset updated
    Apr 4, 2024
    Dataset authored and provided by
    California Department of Fish and Wildlifehttps://wildlife.ca.gov/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset depicts the eight Groundfish Exclusion Areas located in the Southern California Bight in the area formerly encompassed by the Cowcod Conservation Areas. The Groundfish Exclusion Areas restrict take and possession of groundfish, except for purposes of continuous transit. Fishing for non-groundfish stocks is permitted provided no groundfish are aboard. Located north of Santa Barbara Island, the Hidden Reef GEA measures 5.7 by 6.6 miles. The West of Santa Barbara Island GEA measures 12.6 by 7.9 miles. Located west of San Nicolas Island, the Potato Bank GEA measures 8.5 by 13.8 miles. To the south-west of San Nicolas Island, the 107/118 Bank GEA measures 9.1 by 6.8 miles. Located north/north-west of Tanner Bank, Cherry Bank GEA measures 13.9 by 3.9 miles, with the Seamount 109 GEA measuring 19.8 by 3.7 miles (on the southern end) located west of the bank. Roughly 25 miles west of Cortes Bank, the Northeast Bank GEA measures 6.3 by 10.1 miles. Roughly 49 miles west of San Diego, the 43-Fathom Spot GEA measures 8.0 by 11.2 miles.AttributesID: ID for each GEA.AreaName: Informal Description of each area.

  12. Coral9 Habitat Area of Particular Concern (HAPC) Reef and Banks Area

    • noaa.hub.arcgis.com
    Updated Nov 29, 2021
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    NOAA GeoPlatform (2021). Coral9 Habitat Area of Particular Concern (HAPC) Reef and Banks Area [Dataset]. https://noaa.hub.arcgis.com/datasets/noaa::aoa-gulf-of-mexico-natural-and-cultural-resources-?layer=5
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    Dataset updated
    Nov 29, 2021
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Authors
    NOAA GeoPlatform
    Area covered
    Description

    Coral 9 Reef and Banks Areas located in the Gulf of Mexico are protected coral reef habitats. Coral 9 areas include reef and bank in the northwestern Gulf of Mexico shelf includes East and West Flower Garden Banks; Stetson Bank; 29 Fathom; MacNeil; Rezak Sidner Bank; Rankin Bright Bank; Geyer Bank; McGrail Bank; Bouma Bank; Sonnier Bank; Alderice Bank; and Jakkula Bank. Due to the presence of important coral habitat, areas included in the Constraints submodel for Aquaculture Opportunity Area (AOA) suitability modeling in the region.

  13. SeaTurtleLeatherback 20120126

    • noaa.hub.arcgis.com
    • opdgig.dos.ny.gov
    • +2more
    Updated Jul 12, 2005
    + more versions
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    NOAA GeoPlatform (2005). SeaTurtleLeatherback 20120126 [Dataset]. https://noaa.hub.arcgis.com/maps/noaa::seaturtleleatherback-20120126
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    Dataset updated
    Jul 12, 2005
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Authors
    NOAA GeoPlatform
    Area covered
    Description

    Critical habitat in the Caribbean Sea area includes the waters adjacent to Sandy Point, St. Croix from the 100 fathom curve shoreward to the level of mean high tide.Critical habitat in the Pacific Ocean areas includes marine waters to a depth of 80 meters from the ocean surface and is delineated along the shoreline at the line of extreme low water, except in the case of estuaries and bays where COLREGS lines (defined at 33 CFR part 80) are used as the shoreward boundary. The seaward boundary of the nearshore Washington/Oregon area (from Cape Flattery south to Cape Blanco) is defined along the 2,000 meter isobath. The seaward boundary of the nearshore California area (from Point Arena south to Point Arguello) is defined along the 3,000 meter isobath.Link to NOAA Fisheries final rule page- U.S. West CoastLink to NOAA Fisheries final rule page- St. Croix, U.S. Virgin IslandsLink to eCFRLink to InPortLink to NOAA Fisheries Critical Habitat WebpageShapefile DownloadPDF Map (St. Croix)JPG Map (U.S. West Coast)

  14. Potentially Sensitive Biological Features by Flower Garden Banks National...

    • noaa.hub.arcgis.com
    Updated Apr 26, 2023
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    NOAA GeoPlatform (2023). Potentially Sensitive Biological Features by Flower Garden Banks National Marine Sanctuary [Dataset]. https://noaa.hub.arcgis.com/maps/68c5c6a7202449c5b6df40659d47c547_0/about
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    Dataset updated
    Apr 26, 2023
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Authors
    NOAA GeoPlatform
    Area covered
    Description

    This shapefile represents No Activity Zone, No Activity Zone Buffers, Potentially Sensitive Biological Features, and Low Relief Features at the East and West Flower Garden Banks, Stetson Bank, Horseshoe Bank, MacNeil Bank, Rankin Bank, 28 Fathom Bank, Bright Bank, Geyer Bank, Elvers Bank, McGrail Bank, Sonnier Bank, Bouma Bank, Rezak Bank, Sidner Bank, Parker Bank, and Alderdice Bank.Boundaries were created in WGS1984 UTM15N.Bathymetry Extent SelectionWhere high resolution raster is available, use that raster’s extent. However, if positive (possessing sensitive features) exploration has been conducted outside of the high resolution mapping extent AND coarse resolution bathy suggests additional features exist, use proposed Habitat Area of Particular Concern extent. However, if positive (possessing sensitive features) exploration has been conducted outside of the Habitat Area of Particular Concern extent AND coarse resolution bathy suggests additional features exist, expand extent to lease blocks fully within, and sharing a boundary, with the proposed Habitat Area of Particular Concern.Interpretation of BOEM No Activity Zones (NAZ) represents a combination of BOEM topographic stipulations for the Gulf of Mexico and isobath NAZ based on the highest resolution bathymetric data available for the area. Potentially sensitive biological features (PSBF) and low relief features (LRF) were identified using the following steps with the highest resolution bathymetery available for each bank:Location Relief Layer Creation 1. Focal Statistics 1. Neighborhood = Rectangle 2. Neighborhood Settings = 2 Cell 3. Statistics type = RANGE 4. Define Features 1. Reclassify 1. Reclass Field = Value 2. Reclassification : 1.) PSBF >= 2.4m 2.) LRF < 2.4m to >= 0.33m 3.) No Feature = <0.33m 2. Raster to Polygon 1. Remove “No Feature” polygons

  15. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Virginia Department of Conservation and Recreation (2025). VA Fathom 2020, 100-yr, Flood Extent Map [Dataset]. https://data.virginia.gov/dataset/va-fathom-2020-100-yr-flood-extent-map
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VA Fathom 2020, 100-yr, Flood Extent Map

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html, zip, geojson, kml, csv, arcgis geoservices rest apiAvailable download formats
Dataset updated
Jan 10, 2025
Dataset authored and provided by
Virginia Department of Conservation and Recreationhttp://www.dcr.virginia.gov/
Description

Floodplain extent from the Fathom 2020, 100-yr return period data. This non-regulatory floodplain extents is for planning purposes only.

Other flood hazard dataset may exist in Virginia (FEMA, DCR Coastal Resilience Master Plan). DCR recommends that user utilize the best available dataset.


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