This dataset contains a coastal erosion hazards analysis for Hurricane Milton. The analysis is based on a storm-impact scaling model that combines observations of beach morphology with hydrodynamic models to predict how sandy beaches, the first line of defense for many coasts exposed to tropical storms and hurricanes, will respond during a direct landfall. Storm-induced total water levels, due to both surge and waves, are compared to beach and dune elevations to determine the probabilities of three types of coastal change - collision (dune erosion), overwash, and inundation. The storm surge elevations along the open coast were obtained from the National Oceanic and Atmospheric Administration's (NOAA) probabilistic surge forecast (psurge), which is based on conditions specific to the landfalling storm. Errors in hurricane forecasts are included in order to identify probable surge levels. The 10% exceedance surge level was used to represent the worst-case scenario. Maximum wave heights in 20-m water depth, obtained from the NOAA WaveWatch3 model 7-day forecast, were used to compute wave runup elevations at the shoreline. Dune elevations were extracted from lidar topographic surveys.

Disclaimer: This product is based on published research results of the USGS National Assessment of Coastal Change Hazards Project and is intended to indicate the potential for coastal change caused by storm surge and wave runup. This product is based on an analysis that simplifies complex coastal change processes to two important aspects - measured dune elevations and predicted total water levels. As such, the actual changes that occur during extreme storms may be different than what is described here. Results apply to open coast environments and do not consider potential coastal change along inland waters. The public should not base evacuation decisions on this product. Citizens should follow the evacuation advice of local emergency management authorities.

Incident page of curated geospatial content for TC Milton

Aerial imagery was acquired following Hurricane Milton. The aerial photography missions were conducted by the NOAA Remote Sensing Division. The images were acquired using a Digital Sensor System (DSS) version 6.

These data were compiled from the NWS Damage Assessment Toolkit. Please note, these data are considered preliminary and are subject to adjustments/revisions before being certified in the NWS Storm Database.

Original Data: These files contain classified topo/bathy lidar data generated from data collected by the Coastal Zone Mapping and Imaging Lidar (CZMIL) system and topographic lidar elevations generated from data collected using a Teledyne ALTM Galaxy PRIME sensor for the east coast of Florida and the west coast of Florida was collected by Woolpert using the Leica Chiroptera 5 and Hwakeye 5 syst...

This dataset contains modeled storm-induced extreme (98% exceedance) water levels, which includes wave runup and storm surge, at the shoreline during Hurricane Milton. Values were computed by summing modeled storm surge and parameterized wave runup. The storm surge elevations along the open coast were obtained from the National Oceanic and Atmospheric Administration's (NOAA) probabilistic surge forecast (psurge), which is based on conditions specific to the landfalling storm. Errors in hurricane forecasts are included in order to identify probable surge levels. The 10% exceedance surge level was used to represent the worst-case scenario. Maximum wave heights in 20-m water depth, obtained from the NOAA WaveWatch3 model 7-day forecast, were used to compute wave runup elevations at the shoreline.

Map that includes damage points, damage paths, and damage polygons from a tornado outbreak that occurred across South Florida on October 9th, 2024, associated with Hurricane Milton.

Dates of Images:Post-Event: October 12, 2024; October 11, 2024Pre-Event: October 2, 2024Date of Next Image:UnknownSummary:Natural Color: The Natural Color RGB provides a false composite look at the surface. This RGB uses a shortwave, the near-infrared, and red channels from the instrument.Color Infrared: The Color Infrared composite is created using the near-infrared, red, and green channels, allowing for the ability to see areas impacted from the fires. The near-infrared gives the ability to see through thin clouds. Healthy vegetation is shown as red, water is in blue.True Color: The True Color RGB composite provides a product of how the surface would look to the naked eye from space. The RGB is created using the red, green, and blue channels of the respective instrument.Suggested Use:Natural Color: areas of water will appear blue, healthy green vegetation will appear as a bright green, urban areas in various shades of magenta.Color Infrared: depicts healthy vegetation as red, water as blue. Some minor atmospheric corrections have occurred.True Color: provides a product of how the surface would look to the naked eye from space. The True Color RGB is produced using the 3 visible wavelength bands (red, green, and blue) from the respective sensor. Some minor atmospheric corrections have occurred.Satellite/Sensor:Landsat 9 Operational Land Imager (OLI)Resolution:30 metersCredits:NASA/MSFC, USGSEsri REST Endpoint:See URL section on right side of pageWMS Endpoint:https://maps.disasters.nasa.gov/ags03/services/tropical_cyclone_debby_2024/Landsat_9_Imagery_for_Tropical_Cyclone_Debby_August_2024/MapServer/WMSServerData Download:https://maps.disasters.nasa.gov/download/gis_products/event_specific/2024/hurricane_milton_202410/landsat/

This dataset contains modeled storm-induced mean water levels, which includes both waves and surge, at the shoreline during Hurricane Milton. Values were computed by summing modeled storm surge and parameterized wave setup, the increase in mean water level at the shoreline due to breaking waves. The storm surge elevations along the open coast were obtained from the National Oceanic and Atmospheric Administration's (NOAA) probabilistic surge forecast (psurge), which is based on conditions specific to the landfalling storm. Errors in hurricane forecasts are included in order to identify probable surge levels. The 10% exceedance surge level was used to represent the worst-case scenario. Maximum wave heights in 20-m water depth, obtained from the NOAA WaveWatch3 model 7-day forecast, were used to compute wave setup at the shoreline.

These data represent the probability of collision, or the likelihood that wave runup and storm surge will reach the dune toe, during Hurricane Milton. Estimates were based on observations of dune morphology and modeled storm surge and wave runup. The storm surge elevations along the open coast were obtained from the National Oceanic and Atmospheric Administration's (NOAA) probabilistic surge forecast (psurge), which is based on conditions specific to the landfalling storm. Errors in hurricane forecasts are included in order to identify probable surge levels. The 10% exceedance surge level was used to represent the worst-case scenario. Maximum wave heights in 20-m water depth, obtained from the NOAA WaveWatch3 model 7-day forecast, were used to compute wave runup elevation at the shoreline. Dune elevations were extracted from lidar surveys.

These data represent the probability of inundation, or the likelihood that storm surge and wave setup submerge the beach and dune crest, during Hurricane Milton. Estimates were based on observations of dune morphology and modeled storm surge and wave setup. The storm surge elevations along the open coast were obtained from the National Oceanic and Atmospheric Administration's (NOAA) probabilistic surge forecast (psurge), which is based on conditions specific to the landfalling storm. Errors in hurricane forecasts are included in order to identify probable surge levels. The 10% exceedance surge level was used to represent the worst-case scenario. Maximum wave heights in 20-m water depth, obtained from the NOAA WaveWatch3 model 7-day forecast, were used to compute wave setup at the shoreline. Dune elevations were extracted from lidar surveys.

Dates of Images:Post-Event: October 14, 2024; October 12, 2024Pre-Event: October 18, 2023; November 6, 2023; November 19, 2023; October 1, 2024; October 4, 2024Date of Next Image:UnknownSummary:The True Color RGB composite provides a product of how the surface would look to the naked eye from space. The RGB is created using the red, green, and blue channels of the respective instrument.The Short Wave Infrared (SWIR) RGB is a product that is created using the SWIR, NIR, and Red channels of the respective instrument.The Color Infrared composite is created using the near-infrared, red, and green channels, allowing for the ability to see areas impacted from the storm. The near-infrared gives the ability to see through thin clouds. Healthy vegetation is shown as red, water is in blue.Suggested Use:The True Color RGB provides a product of how the surface would look to the naked eye from space. The True Color RGB is produced using the 3 visible wavelength bands (red, green, and blue) from the respective sensor. Some minor atmospheric corrections have occurred.The Short Wave Infrared (SWIR) RGB is a product that can provides value in flood detection. Areas of water will appear blue, healthy green vegetation will appear as a bright green, urban areas in various shades of magenta, snow will appear as a bright blue/cyan, and bare soils being multicolor dependent on their makeup. Compare pre-event imagery to post-event imagery to identify potential flooding.A Color Infrared composite depicts healthy vegetation as red, water as blue. Some minor atmospheric corrections have occurred.Satellite/Sensor:MultiSpectral Instrument (MSI) on European Space Agency's (ESA) Copernicus Sentinel-2A/2B satellitesResolution:True Color: 10 metersCredits:NASA/MSFC, USGS, ESA CopernicusEsri REST Endpoint:See URL section on right side of pageWMS Endpoint:https://maps.disasters.nasa.gov/ags03/services/hurricane_milton_2024/sentinel2/MapServer/WMSServerData Download:https://maps.disasters.nasa.gov/download/gis_products/event_specific/2024/hurricane_milton_202410/sentinel2/

Dashboard displaying Tropical Cyclone Milton Rainfall data for select locations. NOTE: The data provided are preliminary. They are subject to updates and corrections as appropriate.The National Hurricane Center is responsible for conducting the official post-analysis of all tropical cyclones. Once compiled, the Tropical Cyclone Report is posted here: https://www.nhc.noaa.gov/data/tcr/index.php . For current official data and information, go to weather.gov.Layers displayed:Rainfall PointsRainfall Tile Layer

The U.S. Geological Survey (USGS) Remote Sensing Coastal Change (RSCC) project collects aerial imagery along coastal swaths with optimized endlap/sidelap and precise position information to create high-resolution orthomosaics, three-dimensional (3D) point clouds, and digital elevation/surface models (DEMs/DSMs) using Structure-from-Motion (SfM) photogrammetry methods. These products are valuable for measuring topographic and landscape change, and for understanding coastal vulnerability and response to disturbance events. A nadir (vertical) aerial imagery survey was conducted from Honeymoon Island to Barefoot Beach, Florida between October 16th and October 22nd, 2024, to document post-storm conditions after the passage of Hurricane Milton on October 9, 2024. The observations along the coastline cover an approximately 255-kilometer-long by 300 to 700-meter-wide swath of coastline and encompass impacted areas including both highly developed towns, such as Captiva Island, Sanibel Island, and Fort Myers Beach, as well as natural, undeveloped areas, including Cayo Costa and Lovers Key State Beaches. Low altitude (300 meters above ground level) digital aerial imagery were acquired with a manned, fixed-wing aircraft using the "Precision Airborne Camera (PAC)" System (version 2). The PAC system is operated by C.W. Wright and consists of a mounted fixed-lens digital camera, along with a custom integrated survey-grade Global Navigation Satellite System (GNSS) receiver. Data were collected in shore-parallel lines, flying at approximately 50 meters per second (m/s) and capturing true color imagery at 1 hertz (Hz), resulting in image footprints with approximately 75-80% endlap, 60-70% sidelap, and a 5.3-centimeter (cm) ground sample distance (GSD). The precise time of each image capture (flash event) was recorded, and the corresponding aircraft position was computed during post-processing of the GNSS data. Precise image positions can then be determined by accounting for the lever arm offsets between the aircraft GNSS antenna and the camera lens, which are provided in the PAC System metadata (Kranenburg and others, 2023, https://cmgds.marine.usgs.gov/data-services/rscc/PrecisionAirborneCameraSystem). Position data, provided as latitude/longitude/ellipsoid height, is referenced to the North American Datum of 1983 National Spatial Reference System 2011 (NAD83(2011)) coordinate system.

These data represent the probability of overwash, or the likelihood that wave runup and storm surge will overtop the dune crest, during Hurricane Milton. Estimates were based on observations of dune morphology and modeled storm surge and wave runup. The storm surge elevations along the open coast were obtained from the National Oceanic and Atmospheric Administration's (NOAA) probabilistic surge forecast (psurge), which is based on conditions specific to the landfalling storm. Errors in hurricane forecasts are included in order to identify probable surge levels. The 10% exceedance surge level was used to represent the worst-case scenario. Maximum wave heights in 20-m water depth, obtained from the NOAA WaveWatch3 model 7-day forecast, were used to compute wave runup elevation at the shoreline. Dune elevations were extracted from lidar surveys.

These files contain 4-band RGBN orthorectified mosaic imagery tiles generated from data collected using a Leica RCD30 digital camera. This full frame medium-format aerial survey camera collected imagery data in tandem with a bathymetric lidar sensor on a single remote sensing platform. Native imagery data is not generally in a format accessible to most Geographic Information Systems (GIS). Spec...

According to a report conducted in 2024, hashtags related to Hurricane Milton were the most used by members of U.S. Congress on X (formerly Twitter). #Bidenominc was used 774 times, and #bidenflation was used 381 times on the platform by members of congress.

This dataset contains elevation of the dune crest (m, NAVD88) for the United States coastline. The elevation of the dune crest, or top of the foredune, was extracted for open coast sandy beaches from gridded lidar topography every 10 m alongshore and then averaged in 1-km bins. Lidar surveys were collected from june 2015 to october 2018.

This project provides documentation for observations and model simulations conducted for the National Ocean Partnership Program (NOPP) Hurricane Coastal Impacts (NHCI) program. Observations collected as part of the program include data from land based stations, moored and drifting buoys, remotely sensed images; and topography, bathymetry and land cover databases. Model simulations include meteorological and hydrodynamic fields, over wash / morphological response and damage impacts. The study focuses on Hurricane Ian (2022), Hurricane Idalia (2023), Hurricane Lee (2023), Hurricane Francine (2024), Hurricane Helene (2024), and Hurricane Milton (2024).

This layer features tropical storm (hurricanes, typhoons, cyclones) tracks, positions, and observed wind swaths from the past hurricane season for the Atlantic, Pacific, and Indian Basins. These are products from the National Hurricane Center (NHC) and Joint Typhoon Warning Center (JTWC). They are part of an archive of tropical storm data maintained in the International Best Track Archive for Climate Stewardship (IBTrACS) database by the NOAA National Centers for Environmental Information.Data SourceNOAA National Hurricane Center tropical cyclone best track archive.Update FrequencyWe automatically check these products for updates every 15 minutes from the NHC GIS Data page.The NHC shapefiles are parsed using the Aggregated Live Feeds methodology to take the returned information and serve the data through ArcGIS Server as a map service.Area CoveredWorldWhat can you do with this layer?Customize the display of each attribute by using the ‘Change Style’ option for any layer.Run a filter to query the layer and display only specific types of storms or areas.Add to your map with other weather data layers to provide insight on hazardous weather events.Use ArcGIS Online analysis tools like ‘Enrich Data’ on the Observed Wind Swath layer to determine the impact of cyclone events on populations.Visualize data in ArcGIS Insights or Operations Dashboards.This map is provided for informational purposes and is not monitored 24/7 for accuracy and currency. Always refer to NOAA or JTWC sources for official guidance.If you would like to be alerted to potential issues or simply see when this Service will update next, please visit our Live Feed Status Page!