Geospatial data about Florence County, South Carolina Water Mains. Export to CAD, GIS, PDF, CSV and access via API.

The data provide an estimate of flood extent following Hurricane Florence (2018) across the Piedmont and Coastal Plain of North Carolina. Flooded and non-flooded regions were delineated using a random forest classification model leveraging pre- and post-storm synthetic aperture radar from the European Space Agency's Sentinel-1 sensor, in addition to topography, floodplain, and landcover data. The classification model was trained with USGS and NCDEMS high-water marks, in addition to flooded and non-flooded regions delineated from high-resolution NOAA aerial photography; the model achieved 92% accuracy against an independent withheld sample. This effort was aimed at identifying inland flooding and not storm surge. This dataset is not intended to replace North Carolina's Floodplain Mapping Program hazard projections. For additional details regarding the methods, please see the peer-reviewed publication and archive referenced in the Credits below.Note: Do not download this raster using the map at the top of the page. Instead, click Download then "Download Florence flood extent raster." The link will take you to a page where the raster can be downloaded.

Geospatial data about Florence County, South Carolina Sewer Manhole. Export to CAD, GIS, PDF, CSV and access via API.

8 1/2 x 11 PDF of Oregon Congressional and legislative districts adopted in SB 882 in 2021.PDF Maps:PDF Maps: Oregon Redistricting (arcgis.com)Oregon Redistricting Website:https://www.oregonlegislature.gov/redistricting/

Geospatial data about Florence County, South Carolina Subdivisions. Export to CAD, GIS, PDF, CSV and access via API.

34 x 44 PDF of Oregon Congressional and legislative districts adopted in SB 882 in 2021.NOTE - 34 x 44 size maps have large file sizes and may take some computers awhile to fully open. If your PDF reader shows a blank white screen, zooming in should prompt the computer to refresh the page and show the map.PDF Maps:PDF Maps: Oregon Redistricting (arcgis.com)Oregon Redistricting Website:https://www.oregonlegislature.gov/redistricting/

This imagery was acquired by the NOAA Remote Sensing Division to support NOAA homeland 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 ~25 cm / zoom level 19.Viewer:https://storms.ngs.noaa.gov/storms/florence/index.html WMTS: https://storms.ngs.noaa.gov/storms/tilesi/services/tileserver.php/wmts

The NASA Disasters Mapping Portal contains derived products for disaster response. The Disasters Applications area promotes the use of Earth observations to improve prediction of, preparation for, response to, and recovery from natural and technological disasters. Disaster applications and applied research on natural hazards support emergency mitigation approaches, such as early warning systems, and providing information and maps to disaster response and recovery teams.

Esri ArcGIS Online (AGOL) Feature Layer for accessing the MDOT SHA Hurricane Florence Models - Inundated Parcels geospatial data product.MDOT SHA Hurricane Florence Models - Inundated Parcels data consists of polygon geometric features which represent property parcels throughout the State of Maryland predicted to be impacted by storm surge during an event similar to Hurricane Florence (2018). This data seeks to replicate conditions of an event of similar magnitude.In light of the significant damage in the state of North Carolina caused by the storm surge from Hurricane Florence on September 14, 2018, concerns about the vulnerability of the coastal communities on the Atlantic coast of Maryland and in Maryland’s portion of the Chesapeake Bay have come into focus. This data showcases a what-if scenario for coastal Maryland.MDOT SHA Hurricane Florence Models - Inundated Parcels data was produced as a result of efforts by the Maryland Department of Transportation State Highway Administration (MDOT SHA), Eastern Shore Regional GIS Cooperative (ESRGC), Salisbury University (SU), National Oceanic & Atmospheric Administration (NOAA), and the United States Geological Survey (USGS). This data was task-based, and will only be updated on an As-Needed basis where necessary.Last Updated: 10/04/2019For complete project overview and metadata information:Website: https://www.esrgc.org/project/sha-to7For more information about the data, contact Eastern Shore Regional GIS Cooperative (ESRGC):Email: esrgc@salisbury.eduFor more information, contact MDOT SHA OIT Enterprise Information Services:Email: GIS@mdot.maryland.gov

This is a cumulative total precipitation impact map for Hurricane Florence on 09/19/2018 for the past 7 days. Click on the numbers for more detailed information on who or what may have been impacted.This analysis was completed using the Enrich Layer tool in ArcGIS Online. For more information on how data is summarized using GeoEnrichment see this explanation.Original 7 day total precipitation from NOAA and the National Weather Service.

Geospatial data about Florence County, South Carolina Storm Water Drains. Export to CAD, GIS, PDF, CSV and access via API.

The GIS dataset is showing the land use and land cover of Central Germany on a 500x500 m grid. Central Germany covers the area of the federal states of Saxony, Saxony-Anhalt and Thuringia. The data is based on the Corine Land Cover (CLC) map, the German Soil Map BUEK, Natural protection areas of the BfN and statistics. For further information please see the metadata Excel sheet as well as Wochele, S., Priess, J., Thrän, D., O’Keeffe, S., (2014): Crop allocation model “CRAM” - an approach for dealing with biomass supply from arable land as part of a life cycle inventory. 22nd European Biomass Conference and Exhibition, CCH -Congress Center Hamburg, 24-25 June 2014 EU BC&E Proceedings 2014, ETA-Florence Renewable Energies, Florence. doi: 10.5071/22ndEUBCE2014-1AO.5.4

The esri Story Map uses imagery captured by NOAA after Hurricane Florence to show the extent of damage. This application was created by the esri Disaster Response Team. For more information visit: https://www.esri.com/services/disaster-response

Boundary lines and associated attributes for incorporated cities in the Commonwealth of Kentucky.

This map contains the NASA Black Marble imagery of Hurricane Florence on September 13th and September 14th of 2018. This map is featured in the Engage tab of the Hurricanes as Heat Engines Story Map. Map Data:Data: NASA Black Marble Product 9/13/2018 produced using Suomi NPP/VIIRSCredit: NASA Disasters Team, NASA Black Marble TeamData: NASA Black Marble Product 9/14/2018 produced using Suomi NPP/VIIRSCredit: NASA Disasters Team, NASA Black Marble TeamQuestions?Contact us at larc-mynasadata@mail.nasa.gov

The Hazard Exposure Map indicates where highest community exposure to surge, wind, and riverine flooding is expected for Hurricane Florence. The model is based on best-available hazard data and CoreLogic residential parcels. Parcels are weighted by flood depth, wind speed, and social vulnerability.

20190914: Inputs: CoreLogic Parcels (Residential Only), NHC Probabilistic Surge (Adv 57), PNNL RIFT 20180913 Flood Extent, Hazus Advisory 57 Windfield Output. This is a Kernel Density Map of Parcels weighted by CDC's Social Vulnerability Index (SVI), Flood Depth (ft) and Wind Speed (mph).20180913: Inputs: CoreLogic Parcels (Residential Only), NHC Probabilistic Surge (Adv 54), PNNL RIFT 20180912 Flood Extent, Hazus Advisory 53 Windfield Output. This is a Kernel Density Map of Parcels weighted by CDC's Social Vulnerability Index (SVI), Flood Depth (ft) and Wind Speed (mph).

20180911: Inputs: CoreLogic Parcels (Residential Only), FEMA Region III & Region IV Composite MEOW Surge, PNNL RIFT 20180910 Flood Extent. This is a Kernel Density Map of Parcels weighted by CDC's Social Vulnerability Index (SVI) and Flood Depth (ft). This Hazard Exposure Map does not incorporate any Wind data

The data on this CD consist of geographic information system (GIS) coverages and tabular data on the geology of Early Proterozoic and Archean rocks in part of the Early Proterozoic Penokean orogeny. The map emphasizes metasedimentary and metavolcanic rocks that were deposited along the southern margin of the Superior craton and were later deformed during continental collision at about 1850 Ma. The area includes the famous iron ranges of the south shore region of the Lake Superior district. Base maps, both as digital raster graphics (DRG) and digital line graphs (DLG) are also provided for the convenience of users. The map has been compiled from many individual studies, mostly by USGS researchers, completed during the past 50 years, including many detailed (1:24,000 scale) geologic maps. Data was compiled at 1:100,000 scale and preserves most of the details of source materials. This product is a preliminary release of the geologic map data bases during ongoing studies of the geology and metallogeny of the Penokean continental margin. Files are provided in three formats: Federal Spatial Data Transfer format (SDTS), Arc export format (.e00) files, and Arc coverages. All files can be accessed directly from the CD-ROM using either ARC/INFO 7.1.2 or later or Arc View 3.0 or later software. ESRI's Arc Explorer, a free GIS data viewer also provides display and querying capability for these files.

Esri ArcGIS Online (AGOL) Feature Layer for accessing the MDOT SHA Hurricane Florence Models - Roadway Inundation geospatial data product.MDOT SHA Hurricane Florence Models - Roadway Inundation data consists of linear geometric features which represent the geographic extent of predicted storm surge impacts to roadways throughout the State of Maryland during an event similar to Hurricane Florence (2018). This data seeks to replicate conditions of an event of similar magnitude.In light of the significant damage in the state of North Carolina caused by the storm surge from Hurricane Florence on September 14, 2018, concerns about the vulnerability of the coastal communities on the Atlantic coast of Maryland and in Maryland’s portion of the Chesapeake Bay have come into focus. This data showcases a what-if scenario for coastal Maryland.MDOT SHA Hurricane Florence Models - Roadway Inundation data was produced as a result of efforts by the Maryland Department of Transportation State Highway Administration (MDOT SHA), Eastern Shore Regional GIS Cooperative (ESRGC), Salisbury University (SU), National Oceanic & Atmospheric Administration (NOAA), and the United States Geological Survey (USGS). This data was task-based, and will only be updated on an As-Needed basis where necessary.Last Updated: 10/04/2019For complete project overview and metadata information:Website: https://www.esrgc.org/project/sha-to7For more information about the data, contact Eastern Shore Regional GIS Cooperative (ESRGC):Email: esrgc@salisbury.eduFor more information, contact MDOT SHA OIT Enterprise Information Services:Email: GIS@mdot.maryland.gov

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). For more details, see the metadata here - https://storms.ngs.noaa.gov/storms/florence/download/metadata.html

This map takes the entire path of the Hurricane Florence based on the National Hurricane Center storm history. Plotting the storm's center location and the areal extent of the tropical storm and hurricane wind field.Within each point is a visible satellite image that shows what Florence looked like at that time, with each point being a notable time during its lifecycle.Data originated from: https://www.nhc.noaa.gov/gis/Embedded within the StoryMap linked here