Use the app to find the downloadable area within Jackson County - 2 Foot Contour MapThe 2-foot Contour Map shows contours that were derived from several different LiDAR projects in the Rogue Valley over the last 10 years. The map can be used to both download and view the contour data. To use the map, search or zoom in to an address. When zoomed in to a specific scale, the map will change from the downloadable areas layer to 2-foot interval contour lines. The LiDAR Project Dates layer can be used to identify the date when the elevation was collected in an area. Please note that data is available only for the valley floor areas at this time.The 2ft contours were created from 1-meter pixel DEM and then cleaned to remove very small elevation changes and to create a smooth contour line. This information should not be used to create topographic surveys or other applications where the precise elevation of a location is required. For additional information on LiDAR in Oregon or to download the source data, please visit the DOGAMI Lidar Viewer.The downloadable data is a zipped ESRI Shapefile and is projected to Oregon State Plane South (Intl Feet) with NAD 1983 datum.

Vector polygon map data of property parcels from the City of Jackonsville, Florida, containing 369,755 features.

Property parcel GIS map data consists of detailed information about individual land parcels, including their boundaries, ownership details, and geographic coordinates.

Property parcel data can be used to analyze and visualize land-related information for purposes such as real estate assessment, urban planning, or environmental management.

Available for viewing and sharing as a map in a Koordinates map viewer. This data is also available for export to DWG for CAD, PDF, KML, CSV, and GIS data formats, including Shapefile, MapInfo, and Geodatabase.

This map contains a dynamic traffic map service with capabilities for visualizing traffic speeds relative to free-flow speeds as well as traffic incidents which can be visualized and identified. The traffic data is updated every five minutes. Traffic speeds are displayed as a percentage of free-flow speeds, which is frequently the speed limit or how fast cars tend to travel when unencumbered by other vehicles. The streets are color coded as follows:Green (fast): 85 - 100% of free flow speedsYellow (moderate): 65 - 85%Orange (slow); 45 - 65%Red (stop and go): 0 - 45%Esri's historical, live, and predictive traffic feeds come directly from HERE (www.HERE.com). HERE collects billions of GPS and cell phone probe records per month and, where available, uses sensor and toll-tag data to augment the probe data collected. An advanced algorithm compiles the data and computes accurate speeds. Historical traffic is based on the average of observed speeds over the past three years. The live and predictive traffic data is updated every five minutes through traffic feeds. The color coded traffic map layer can be used to represent relative traffic speeds; this is a common type of a map for online services and is used to provide context for routing, navigation and field operations. The traffic map layer contains two sublayers: Traffic and Live Traffic. The Traffic sublayer (shown by default) leverages historical, live and predictive traffic data; while the Live Traffic sublayer is calculated from just the live and predictive traffic data only. A color coded traffic map can be requested for the current time and any time in the future. A map for a future request might be used for planning purposes. The map also includes dynamic traffic incidents showing the location of accidents, construction, closures and other issues that could potentially impact the flow of traffic. Traffic incidents are commonly used to provide context for routing, navigation and field operations. Incidents are not features; they cannot be exported and stored for later use or additional analysis. The service works globally and can be used to visualize traffic speeds and incidents in many countries. Check the service coverage web map to determine availability in your area of interest. In the coverage map, the countries color coded in dark green support visualizing live traffic. The support for traffic incidents can be determined by identifying a country. For detailed information on this service, including a data coverage map, visit the directions and routing documentation and ArcGIS Help.

These data were automated to provide an accurate high-resolution historical shoreline of Jacksonville, Florida suitable as a geographic information system (GIS) data layer. These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpretation of imagery and/or field survey. 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://www.fisheries.noaa.gov/inport/item/39808

Map books and text guides from https://floridadep.gov/parks/ogt/content/florida-circumnavigational-saltwater-paddling-trail-segments-information

This web application displays a map and information on current rip current conditions and forecasts. All data is provided by the National Weather Service (NWS) and National Oceanic and Atmospheric Administration (NOAA)

Current traffic conditions.

Know Your Zone! Find out if you are in an evacuation zone and find evacuation routes in case of an emergency.

Geospatial data about Clay County, Florida Hospital. Export to CAD, GIS, PDF, CSV and access via API.

These data were automated to provide an accurate high-resolution historical shoreline of St. Johns River, Jacksonville to Palatka, Florida suitable as a geographic information system (GIS) data layer. These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpretation of imagery and/or field survey. 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://www.fisheries.noaa.gov/inport/item/39808

These data were automated to provide an accurate high-resolution historical shoreline of Trout River to Jacksonville, St. Johns River, Florida suitable as a geographic information system (GIS) data layer. These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpretation of imagery and/or field survey. 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

This imagery was acquired by the NOAA Remote Sensing Division to support NOAA national security and emergency response requirements. In addition, it will be used for ongoing research efforts for testing and developing standards for airborne digital imagery. Individual images have been combined into a larger mosaic and tiled for distribution. The approximate ground sample distance (GSD) for each pixel is 50 cm / zoom level 18. Metadata can be found here.

NOAA Post-Ian Imagery Oct 2 2022. Jacksonville, FL. Santee—Myrtle Beach, SC. This imagery was acquired by the NOAA Remote Sensing Division to support NOAA homeland security and emergency response requirements.Credit the National Oceanic and Atmospheric Administration (NOAA) when you use these photos in a report, publication, or presentation.The aerial photography missions were conducted by the NOAA Remote Sensing Division. The images were acquired from an altitude of 2500 to 5000 feet, using a Trimble Digital Sensor System (DSS)This imagery was acquired by the NOAA Remote Sensing Division to support NOAA national security and emergency response requirements. This rapid response product was generated for use by emergency managers for visual analysis of damage in the area. It is not intended for mapping, charting or navigation. In addition, it will be used for ongoing research efforts for testing and developing standards for airborne digital imagery.Supplemental Information: The ground sample distance (GSD) for each pixel is 30 cm. In an effort to acquire imagery in a timely manner after the event, clouds may be present in the imagery. Be advised that the Bounding Coordinates reflect the extents of the images acquired for this event and do not imply full image coverage of the area.Source: HereMetadata: Here

Urban heat islands are small areas where temperatures are unnaturally high - usually due to dense buildings, expansive hard surfaces, or a lack of tree cover or greenspace. People living in these communities are exposed to more dangerous conditions, especially as daytime high and nighttime low temperatures increase over time. NOAA Climate Program Office and CAPA Strategies have partnered with cities around the United States to map urban heat islands. Using Sentinel-2 satellite thermal data along with on-the-ground sensors, air temperature and heat indexes are calculated for morning, afternoon, and evening time periods. The NOAA Visualization Lab, part of the NOAA Satellite and Information Service, has made the original heat mapping data available as dynamic image services.Dataset SummaryPhenomenon Mapped: heat indexUnits: degrees Fahrenheit Cell Size: 30 metersPixel Type: 32 bit floating pointData Coordinate Systems: WGS84 Mosaic Projection: WGS84 Extent: cities within the United StatesSource: NOAA and CAPA StrategiesPublication Date: September 20, 2021What can you do with this layer?This imagery layer supports communities' UHI spatial analysis and mapping capabilities. The symbology can be manually changed, or a processing template applied to the layer will provide a custom rendering. Each city can be queried.Related layers include Morning Heat Index and Evening Heat Index. Cities IncludedBoulder, CO Brooklyn, NY Greenwich Village, NY Columbia, SC Columbia, MO Columbus, OH Knoxville, TN Jacksonville, FL Las Vegas, NV Milwaukee, WI Nashville, TN Omaha, NE Philadelphia, PA Rockville, MD Gaithersburg, MD Takoma Park, MD San Francisco, CA Spokane, WA Abingdon, VA Albuquerque, NM Arlington, MA Woburn, MA Arlington, VA Atlanta, GA Charleston, SC Charlottesville, VA Clarksville, IN Farmville, VA Gresham, OR Harrisonburg, VA Kansas City, MO Lynchburg, VA Manhattan, NY Bronx, NY Newark, NJ Jersey City, NJ Elizabeth, NJ Petersburg, VA Raleigh, NC Durham, NC Richmond, VA Richmond, IN Salem, VA San Diego, CA Virginia Beach, VA Winchester, VA Austin, TX Burlington, VT Cincinnati, OH Detroit, MI El Paso, TX Houston, TX Jackson, MS Las Cruces, NM Miami, FL New Orleans, LA Providence, RI Roanoke, VA San Jose, CA Seattle, WA Vancouver, BC Canada Boston, MA Fort Lauderdale, FL Honolulu, HI Boise, ID Nampa, ID Los Angeles, CA Yonkers, NY Oakland, CA Berkeley, CA San Juan, PR Sacramento, CA San Bernardino, CA Victorville, CA West Palm Beach, FL Worcester, MA Washington, D.C. Baltimore, MD Portland, ORCities may apply to be a part of the Heat Watch program through the CAPA Strategies website. Attribute Table Informationcity_name: Afternoon Heat Index Observations in Floating-Point (°F)

FEEDS.DBO.TROPICAL_FORECAST_ERROR_CONE

Subaquatic vegetation maps of selected springs in the SJRWMD. Survey data originally collected and compiled by Dial Cordy and Associates, Jacksonville Beach, FL 32250. Field mapping completed during the Fall of 2007 and published June 2008.This data set is intended to identify submerged aquatic vegetation (SAV) species distribution along the length of Alexander Springs, Blue Springs, Juniper Springs, Rock Springs, Silver Glen Springs, and Wekiva River.

Date of Image:10/2/2022Date of Next Image:UnknownSummary:The Advanced Rapid Imaging and Analysis (ARIA) team at NASA's Jet Propulsion Laboratory and California Institute of Technology created the multi-temporal coherence-based Damage Proxy Map (DPM2) depicting areas that are likely damaged in Florida state in the U.S. due to Hurricane Ian in September 2022. This map was derived from synthetic aperture radar (SAR) images acquired by the Copernicus Sentinel-1 satellites operated by the European Space Agency (ESA) from 05 April 2022 to 02 October 2022.Suggested Use:The color variation from pale yellow to red indicates increasingly more significant surface change (drop in radar reflection coherence). Preliminary validation was done by comparing with the Media reports and other images.This damage proxy map should be used as guidance to identify damaged areas or areas affected by flood and may be less reliable over vegetated areas. The changes in radar reflections from flooded land and damaged buildings cannot be separated easily. For example, the scattered colored pixels over vegetated areas may be false positives, and the lack of colored pixels over vegetated areas does not necessarily mean no damage.Satellite/Sensor:Copernicus Sentinel-1 Synthetic Aperture Radar (SAR)Resolution:30 metersCredits:Sentinel-1 data were accessed through the Copernicus Open Hub and the Alaska Satellite Facility server. The product contains modified Copernicus Sentinel data (2022), processed by ESA and analyzed by the NASA-JPL/Caltech ARIA team. NASA's Earth Applied Sciences Disasters Program provided part of the funding.For more information about ARIA, visit: http://aria.jpl.nasa.govEsri REST Endpoint:See URL section on right side of pageWMS Endpoint:https://maps.disasters.nasa.gov/ags04/services/hurricane_ian_2022/aria_dpm/MapServer/WMSServerData Download:https://aria-share.jpl.nasa.gov/202209-Hurricane_Ian_USA/DPM/