Esri’s Sentinel-2 Explorer is a powerful tool for exploring satellite imagery, supporting our mission to make remote sensing accessible to all. Within the Explorer, you can select specific dates, apply different renderings, create animations, and dive into spectral analysis and change detection. But what if you wanted to go further—creating your own renderings, overlaying custom data, or integrating additional datasets? This is where bringing Sentinel-2 imagery into ArcGIS Online comes in, offering the same user-friendly interface but with greater control and enhanced analysis capabilities.In this StoryMap, we’ll show just how easy it is to bring imagery from Sentinel-2 Explorer into ArcGIS Online and explore the many possibilities of imagery analysis. Want to use Landsat or Sentinel-1 data instead? No problem—this guide also works with Esri’s Landsat Explorer and Sentinel-1 Explorer, giving you even more flexibility for your remote sensing projects.

In this course, you will learn about some common types of data used for GIS mapping and analysis, and practice adding data to a file geodatabase to support a planned project.Goals Create a file geodatabase. Add data to a file geodatabase. Create an empty geodatabase feature class.

ADOT's ISTEA and related systems contain a wealth of valuable information. However, lack of integration amongst these systems prevents ADOT from realizing the full value this data may provide if accessible to a wider audience.As a part of determining an appropriate integration strategy, it is important to consider"the findings that resulted from executive surveys and interviews. A summary of key findings includes the following:Integration is expected to offer new opportunities and efficiencies although substantial cost savings do not appear likely primarily due to resource limitations.There is a need for better performance metrics. Availability and use of measurement information must be carefully considered.Integration should be small in scope, focused, and gradually implemented. Integration must be affordable using existing resources. Systems must be accessible in user friendly formats. Technical skill levels of potential users are limited.Based upon our research and understanding of ADOT resources and needs, it is our recommendation that ADOT pursue development and implementation of the INFACCS system (database link) to achieve the goal of data integration. This system has been demonstrated to the satisfaction of Marotz and ADOT TAC members and has earned the support of both groups.

In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within California’s State Waters. The program supports a large number of coastal-zone- and ocean-management issues, including the California Marine Life Protection Act (MLPA) (California Department of Fish and Wildlife, 2008), which requires information about the distribution of ecosystems as part of the design and proposal process for the establishment of Marine Protected Areas. A focus of CSMP is to map California’s State Waters with consistent methods at a consistent scale. The CSMP approach is to create highly detailed seafloor maps through collection, integration, interpretation, and visualization of swath sonar data (the undersea equivalent of satellite remote-sensing data in terrestrial mapping), acoustic backscatter, seafloor video, seafloor photography, high-resolution seismic-reflection profiles, and bottom-sediment sampling data. The map products display seafloor morphology and character, identify potential marine benthic habitats, and illustrate both the surficial seafloor geology and shallow (to about 100 m) subsurface geology. It is emphasized that the more interpretive habitat and geology data rely on the integration of multiple, new high-resolution datasets and that mapping at small scales would not be possible without such data. This approach and CSMP planning is based in part on recommendations of the Marine Mapping Planning Workshop (Kvitek and others, 2006), attended by coastal and marine managers and scientists from around the state. That workshop established geographic priorities for a coastal mapping project and identified the need for coverage of “lands” from the shore strand line (defined as Mean Higher High Water; MHHW) out to the 3-nautical-mile (5.6-km) limit of California’s State Waters. Unfortunately, surveying the zone from MHHW out to 10-m water depth is not consistently possible using ship-based surveying methods, owing to sea state (for example, waves, wind, or currents), kelp coverage, and shallow rock outcrops. Accordingly, some of the data presented in this series commonly do not cover the zone from the shore out to 10-m depth. This data is part of a series of online U.S. Geological Survey (USGS) publications, each of which includes several map sheets, some explanatory text, and a descriptive pamphlet. Each map sheet is published as a PDF file. Geographic information system (GIS) files that contain both ESRI ArcGIS raster grids (for example, bathymetry, seafloor character) and geotiffs (for example, shaded relief) are also included for each publication. For those who do not own the full suite of ESRI GIS and mapping software, the data can be read using ESRI ArcReader, a free viewer that is available at http://www.esri.com/software/arcgis/arcreader/index.html (last accessed September 20, 2013). The California Seafloor Mapping Program is a collaborative venture between numerous different federal and state agencies, academia, and the private sector. CSMP partners include the California Coastal Conservancy, the California Ocean Protection Council, the California Department of Fish and Wildlife, the California Geological Survey, California State University at Monterey Bay’s Seafloor Mapping Lab, Moss Landing Marine Laboratories Center for Habitat Studies, Fugro Pelagos, Pacific Gas and Electric Company, National Oceanic and Atmospheric Administration (NOAA, including National Ocean Service–Office of Coast Surveys, National Marine Sanctuaries, and National Marine Fisheries Service), U.S. Army Corps of Engineers, the Bureau of Ocean Energy Management, the National Park Service, and the U.S. Geological Survey. These web services for the Offshore of Point Conception map area includes data layers that are associated to GIS and map sheets available from the USGS CSMP web page at https://walrus.wr.usgs.gov/mapping/csmp/index.html. Each published CSMP map area includes a data catalog of geographic information system (GIS) files; map sheets that contain explanatory text; and an associated descriptive pamphlet. This web service represents the available data layers for this map area. Data was combined from different sonar surveys to generate a comprehensive high-resolution bathymetry and acoustic-backscatter coverage of the map area. These data reveal a range of physiographic including exposed bedrock outcrops, large fields of sand waves, as well as many human impacts on the seafloor. To validate geological and biological interpretations of the sonar data, the U.S. Geological Survey towed a camera sled over specific offshore locations, collecting both video and photographic imagery; these “ground-truth” surveying data are available from the CSMP Video and Photograph Portal at https://doi.org/10.5066/F7J1015K. The “seafloor character” data layer shows classifications of the seafloor on the basis of depth, slope, rugosity (ruggedness), and backscatter intensity and which is further informed by the ground-truth-survey imagery. The “potential habitats” polygons are delineated on the basis of substrate type, geomorphology, seafloor process, or other attributes that may provide a habitat for a specific species or assemblage of organisms. Representative seismic-reflection profile data from the map area is also include and provides information on the subsurface stratigraphy and structure of the map area. The distribution and thickness of young sediment (deposited over the past about 21,000 years, during the most recent sea-level rise) is interpreted on the basis of the seismic-reflection data. The geologic polygons merge onshore geologic mapping (compiled from existing maps by the California Geological Survey) and new offshore geologic mapping that is based on integration of high-resolution bathymetry and backscatter imagery seafloor-sediment and rock samplesdigital camera and video imagery, and high-resolution seismic-reflection profiles. The information provided by the map sheets, pamphlet, and data catalog has a broad range of applications. High-resolution bathymetry, acoustic backscatter, ground-truth-surveying imagery, and habitat mapping all contribute to habitat characterization and ecosystem-based management by providing essential data for delineation of marine protected areas and ecosystem restoration. Many of the maps provide high-resolution baselines that will be critical for monitoring environmental change associated with climate change, coastal development, or other forcings. High-resolution bathymetry is a critical component for modeling coastal flooding caused by storms and tsunamis, as well as inundation associated with longer term sea-level rise. Seismic-reflection and bathymetric data help characterize earthquake and tsunami sources, critical for natural-hazard assessments of coastal zones. Information on sediment distribution and thickness is essential to the understanding of local and regional sediment transport, as well as the development of regional sediment-management plans. In addition, siting of any new offshore infrastructure (for example, pipelines, cables, or renewable-energy facilities) will depend on high-resolution mapping. Finally, this mapping will both stimulate and enable new scientific research and also raise public awareness of, and education about, coastal environments and issues. Web services were created using an ArcGIS service definition file. The ArcGIS REST service and OGC WMS service include all Offshore of Point Conception map area data layers. Data layers are symbolized as shown on the associated map sheets.

WARNINGThis data is provided here for users of specialist GIS software only. The same information is available in a much more user-friendly format in the Services near me page on the main council website, and anyone interested in enrolling a child in school should see the page on Enrolment in Primary and Secondary Schools in DundeeDescriptionThis layer contains 5 sublayers - 1 shows all Dundee City Council Schools, and the other 4 show catchment boundaries in the following categories:Denominational PrimaryNon-denominational (Roman Catholic) PrimaryDenominational SecondaryNon-denominational (Roman Catholic) SecondaryThe Council uses catchment areas to decide where your child is given a place at school. A catchment area is an area around a single school. Children who live in this area are usually offered a place at the school. For more information please see DCC Guidance on Enrolment at P1 and S1 and on Placing Requests (208KB MS Word doc)LimitationsTBDUpdatesThis data is updated as required. This typically happens around October or November before enrolment starts for the next school year each year. The data may therefore reflect the catchments that are due to take effect at the start of the next school year. Usage This layer can be used directly in Web apps like the ArcGIS Online mapviewer, dashboards, storymaps, etc, some of which are available via the council websiteMobile apps like ArcGIS FieldDesktop apps like ArcGIS ProLinks to this layer can also be found in:Dundee Council open data portal - for technical specialists to download and exploring the data Improvement Service Spatial Hub - included in a national dataset that is collated and distributed by IS. One Dundee GIS Portal based on ArcGIS Enterprise - for DCC staff on internal DCC devices - TBDScottish Government spatial data portal - TBDdata.gov.uk - TBDUsage in other softwareThis data is also available as a Web Feature Service (WFS) for use in other GIS software such as QGIS. Integration tipsFor most integration purposes it will be easier to use one of the UPRN based items mentioned below under 'Related data'To see how to query this layer please see the 'API Explorer' or modify the examples below.Integration examplesNote that these examples output in pretty json, but the f parameter can be used to change this to other output formats such plain JSON or HTML List of all schoolsAll catchments for an XY locationRelated DataThis layer is used to create the following items for use in system integrations:UPRNs with school catchments - map layer intended for use in live integrations like Firmstep\Granicus. This can be queried to provide all the relevant catchments for a UPRN without needing to know the XY coordinates.UPRN to school catchment seedcode lookup tables - collection of CSV files intended for use in disconnected integrations like SEEMIS, but may also be used to remove dependency on a live integration in Firmstep/Granicus.

This feature layer provides polygon-based mapping of USDA ReConnect-funded broadband expansion areas and Congressionally Directed Spending (CDS) project locations across multiple states, including Minnesota (MN), Tennessee (TN), Illinois (IL), Kentucky (KY), Michigan (MI), and Texas (TX). The dataset identifies funded broadband deployment areas, supporting state and federal broadband planning efforts by mapping where investments have been allocated for rural broadband expansion. The layer is maintained and updated as new funding data becomes available; however, some states may contain out-of-date data if not noted in the change log. This information was prepared by Connected Nation under contract with multiple stakeholders and is designed to assist broadband providers, policymakers, researchers, and public agencies in analyzing broadband deployment efforts. Upon request, this data can be made available in alternate formats for accessibility. Key Features & Data Layers:

USDA ReConnect Funded Areas – Displays broadband service expansion projects funded through the USDA ReConnect Program. Congressionally Directed Spending (CDS) Areas – Identifies locations earmarked for broadband development through Congressional appropriations. State-Specific Funding Data – Includes funded projects in MN, TN, IL, KY, MI, and TX with some areas subject to updates. Service Provider-Specific Data – Includes projects from Red River, CTC, and MiEnergy, previously under review, now confirmed from official sources. Broadband Infrastructure Planning Support – Helps federal, state, and local agencies track broadband funding allocations.

Usage & Integration:

Broadband Expansion Analysis – Supports policymakers and agencies in tracking federally funded broadband projects. Stakeholder Collaboration – Provides essential data for state and local broadband planning initiatives. Funding Accountability & Transparency – Ensures public access to broadband funding information for research and oversight. Mapping & GIS Integration – Can be used in ArcGIS Online, ArcGIS Pro, and other GIS platforms for spatial analysis.

Change Log:

1/22/2025 – Updated metadata for improved clarity and documentation. 1/16/2025 – Version 5 release: Updated Minnesota data; added Red River, CTC, and MiEnergy projects from official sources.

This dataset provides a critical resource for broadband funding transparency and planning, ensuring stakeholders have accurate geospatial data on federally supported broadband expansion projects.

The Wind Integration National Dataset (WIND) Toolkit, developed by the National Renewable Energy Laboratory (NREL), provides modeled wind speeds at multiple elevations. Instantaneous wind measurements were analyzed from more than 126,000 sites in the continental United States for the years 2007–2013. The model results were mapped on a 2-km grid. A subset of the contiguous United States data for 2012 is shown here. Offshore data is shown to 50 nautical miles.Time Extent: Annual 2012Units: m/sCell Size: 2 kmSource Type: StretchedPixel Type: 32 Bit FloatData Projection: GCS WGS84Mosaic Projection:  WGS 1984 Web MercatorExtent: Contiguous United StatesSource: NREL Wind Integration National Dataset v1.1WIND is an update and expansion of the Eastern Wind Integration Data Set and Western Wind Integration Data Set. It supports the next generation of wind integration studies.Accessing Elevation InformationEach of the 9 elevation slices can be accessed, visualized, and analyzed. In ArcGIS Pro, go to the Multidimensional Ribbon and use the Elevation pull-down menu. In ArcGIS Online, it is best to use Web Map Viewer Classic where the elevation slider will automatically appear on the righthand side. The elevation slider will be available in the new Map Viewer in an upcoming release. What can you do with this layer?This layer may be added to maps to visualize and quickly interrogate each pixel value. The pop-up provides the pixel’s wind speed value.This analytical imagery tile layer can be used in analysis. For example, the layer may be added to ArcGIS Pro and proposed wind turbine locations can be used to Sample the layer at multiple elevation to determine the optimal hub height. Source data can be accessed on Amazon Web ServicesUsers of the WIND Toolkit should use the following citations:Draxl, C., B.M. Hodge, A. Clifton, and J. McCaa. 2015. Overview and Meteorological Validation of the Wind Integration National Dataset Toolkit (Technical Report, NREL/TP-5000-61740). Golden, CO: National Renewable Energy Laboratory.Draxl, C., B.M. Hodge, A. Clifton, and J. McCaa. 2015. "The Wind Integration National Dataset (WIND) Toolkit." Applied Energy 151: 355366.King, J., A. Clifton, and B.M. Hodge. 2014. Validation of Power Output for the WIND Toolkit (Technical Report, NREL/TP-5D00-61714). Golden, CO: National Renewable Energy Laboratory.

Hong Kong has a lot of real-time data which are made available by the Government of Hong Kong Special Administrative Region at https://DATA.GOV.HK/ (“DATA.GOV.HK”). These data were processed and converted to Esri File Geodatabase format and then uploaded to Esri’s ArcGIS Online platform.These series of Operations Dashboard integrate different available real-time datasets in Hong Kong to provide a dashboard interface for monitoring real-time data feed on your desktop or tablet device. The objectives are to facilitate our Hong Kong ArcGIS Online users to view these data in a spatial ready format and save their data conversion effort.These series of Operations Dashboard come in three themes, environmental, traffic and integrated.The Environmental theme contains real-time temperature, air quality health risk and air pollution concentration of different districts in Hong Kong. Traffic theme contains real-time information of estimated journey time, car park vacancy, traffic speed of major roads, traffic snapshot images and speed map panels in Hong Kong. To view it, please click here. The integrated theme combines the above two sets of data, which are environmental and traffic, and makes them into one single dashboard view. To view it, please click here.

EarthExplorerUse the USGS EarthExplorer (EE) to search, download, and order satellite images, aerial photographs, and cartographic products. In addition to data from the Landsat missions and a variety of other data providers, EE provides access to MODIS land data products from the NASA Terra and Aqua missions, and ASTER level-1B data products over the U.S. and Territories from the NASA ASTER mission. Registered users of EE have access to more features than guest users.Earth Explorer Distribution DownloadThe EarthExplorer user interface is an online search, discovery, and ordering tool developed by the United States Geological Survey (USGS). EarthExplorer supports the searching of satellite, aircraft, and other remote sensing inventories through interactive and textual-based query capabilities. Through the interface, users can identify search areas, datasets, and display metadata, browse and integrated visual services within the interface.The distributable version of EarthExplorer provides the basic software to provide this functionality. Users are responsible for verification of system recommendations for hosting the application on your own servers. By default, this version of our code is not hooked up to a data source so you will have to integrate the interface with your data. Integration options include service-based API's, databases, and anything else that stores data. To integrate with a data source simply replace the contents of the 'getDataset' and 'search' functions in the CWIC.php file.Distribution is being provided due to users requests for the codebase. The EarthExplorer source code is provided "As Is", without a warranty or support of any kind. The software is in the public domain; it is available to any government or private institution.The software code base is managed through the USGS Configuration Management Board. The software is managed through an automated configuration management tool that updates the code base when new major releases have been thoroughly reviewed and tested.Link: https://earthexplorer.usgs.gov/

The National Water Prediction Service (NWPS) APIs provide seamless access to water prediction data, including official NWS streamflow forecasts, gauge observations, National Water Model outputs, and metadata such as flood impact descriptions. These APIs allow users and systems to integrate NWPS data into decision-support tools without web scraping.

Key Features

  RESTful API: Built using OpenAPI 3.0 standards for easy integration.
  Gauge Data Access: Retrieve metadata, ratings, observed/forecast stage and flow data for specific gauges.
  Streamflow Forecasts: Access flow forecast values for specific river reaches.
  Hydrologic Ensemble Forecast Service (HEFS): Experimental API offering probabilistic streamflow forecasts and flood risk assessments.
  National Water Model Integration: Retrieve real-time and forecasted streamflow data from the National Water Model.

API Documentation and Resources

  API Documentation
  NWPS Website
  NWPS API Webinar Recording


  For more information or support, contact the NWPS team at 
  nwps.webmaster@noaa.gov.