This Open Geospatial Consortium (OGC) compliant Web Map Service (WMS) includes a mosaic of historical USGS topographic maps of New Jersey surveyed from 1881 to 1924.

The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the State Plane Coordinate System. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000.

description: The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual- chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the Delaware (FIPS 0700) State Plane projection and coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000. Coastal study data as defined in FEMA Gudelines and Specifications, Appendix D: Guidance for Coastal Flooding Analyses and Mapping, submitted as a result of a coastal study. Appendix D notes that a variety of analytical methodologies may be used to establish Base (1-percent-annual-chance) Flood Elevations (BFEs) and floodplains throughout coastal areas of the United States. Appendix D itemizes references for the methodologies currently in use by FEMA for specific coastal flood hazards, provides general guidance for documentation of a coastal flood hazard analysis, specifies flood hazard analysis procedures for the Great Lakes coasts, and outlines intermediate data submissions for coastal flood hazard analyses with new storm surge modeling and revised stillwater flood level (SWFL). (Source: FEMA Guidelines and Specs, Appendix D Guidance for Coastal Flooding Analyses and Mapping, Section D.1); abstract: The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual- chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the Delaware (FIPS 0700) State Plane projection and coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000. Coastal study data as defined in FEMA Gudelines and Specifications, Appendix D: Guidance for Coastal Flooding Analyses and Mapping, submitted as a result of a coastal study. Appendix D notes that a variety of analytical methodologies may be used to establish Base (1-percent-annual-chance) Flood Elevations (BFEs) and floodplains throughout coastal areas of the United States. Appendix D itemizes references for the methodologies currently in use by FEMA for specific coastal flood hazards, provides general guidance for documentation of a coastal flood hazard analysis, specifies flood hazard analysis procedures for the Great Lakes coasts, and outlines intermediate data submissions for coastal flood hazard analyses with new storm surge modeling and revised stillwater flood level (SWFL). (Source: FEMA Guidelines and Specs, Appendix D Guidance for Coastal Flooding Analyses and Mapping, Section D.1)

This map is used to author a map service for the My Government Services application.

The Sussex coast was mapped during several visits to the area using AGDS, and drop down video. On interest was the location of reef areas and chalk outcrops thoughout the area in addtion to general biological mapping for conservation.

Abstract not available.

Hazard and hydraulic categories; extents and categorisations based on the Flood Planning Level (1% AEP flood + 500mm freeboard).

This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information. This data set consists of georeferenced digital map data and computerized attribute data. The map data are in a soil survey area extent format and include a detailed, field verified inventory of soils and miscellaneous areas that normally occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. A special soil features layer (point and line features) is optional. This layer displays the location of features too small to delineate at the mapping scale, but they are large enough and contrasting enough to significantly influence use and management. The soil map units are linked to attributes in the National Soil Information System relational database, which gives the proportionate extent of the component soils and their properties.

This map is no longer available. Please contact your state mapping authority for coverage in this area.

This dataset contains both a PDF report of the LEAR in question, and an Excel spreadsheet of data that sits behind the graphs and maps in the report. The report can be found under Additional Documention section below, and the spreadsheet of backing under Raw Files.

Geospatial data about Sussex County, Delaware Parcels. Export to CAD, GIS, PDF, CSV and access via API.

Abstract not available.

At this scale 1cm on the map represents 1km on the ground. Each map covers a minimum area of 0.5 degrees longitude by 0.5 degrees latitude or about 54 kilometres by 54 kilometres. The contour interval is 20 metres. Many maps are supplemented by hill shading.

Link to the ScienceBase Item Summary page for the item described by this metadata record. Service Protocol: Link to the ScienceBase Item Summary page for the item described by this metadata record. Application Profile: Web Browser. Link Function: information

Abstract not available.

Link to the ScienceBase Item Summary page for the item described by this metadata record. Service Protocol: Link to the ScienceBase Item Summary page for the item described by this metadata record. Application Profile: Web Browser. Link Function: information

Sussex County building footprints

The datasets include shapefiles obtained by dissolving segmented polygons classified via a Random Forest classifier at five map site studies in the Falklands, along with the raster outputs of the pixel-based Random Forest classification at the same sites. The fine scale habitat maps are available for 5 study areas: (1) Stanley Common and Cape Pembroke , (2) Steeple Jason Island, (3) Cochon Island, Kidney Island and the Murrell Peninsula, (4) Minefield 7 and (5) Port Sussex. The map was developed by the DPLUS065 Coastal Habitat Mapping project for the Falkland Islands. Both WorldView 2 and 3 satellite imagery, obtained thanks to a Digital Globe Foundation grant, and drone imagery were used as baseline data for the modelling exercise. Two sites were selected for fine scale habitat mapping for specific purposes: identifying the distribution of calafate (invaseive species plant) at Port Sussex and providing accurate elevation model for the minefield 7 site (cape Pembroke area). Further information on the habitat mapping workflow can be found in the following document: FalklandIslandsFineScale_CoastalHabitatMapping_Narrative.pdf

This map depicts the lands dedicated as open space within Sussex County, NJ

Mid Sussex District Council Polling Stations. Point data showing the location and distribution of electoral polling stations for the Mid Sussex District Council area. The Council defines a polling station as the unit created by a ballot box, Presiding Officer & polling staff. More than one polling station can be assigned to a single venue or location. For this reason the data (although flat file in practice) contains a many to one relationship between polling stations and venues. Where multiple polling stations have been assigned to the same venue, then they will share the same grid reference in addition to address. A Derived Data Exemption has been granted by the Ordnance Survey in respect of this data and it can accordingly be used under the terms of the Open Government Licence v3.0. Attribute fields included: 1. STATNUM = Mid Sussex DC polling station number. 2.STATNAME = Polling station name. 3. MSERCODE = Mid Sussex DC Electoral Registration code. 4. PARENTVENU = Is venue location to multiple polling stations? 5. VENUE = Polling station location. 6. STREET = Street name. 7. TOWN = Town/Village. 8. POSTCODE = Postcode.