Styler is a configurable app template that allows you to easily design and style mapping applications with Calcite colors, themes and layouts. The template produces modern applications that allow you to visualize and explore a web map. The user interface includes a navigation bar, dropdown menu and a set of window panels for common operations such as changing basemaps and toggling full screen view. The template is built with Calcite Maps, Bootstrap, and the new ArcGIS API for Javascript 4.0. This application can be easily customized by downloading the source code and changing the default HTML and CSS styles.Configurable OptionsUse Styler to present a web map and configure it using the following options:Title, Subtitle and About panel.Light and dark themes for application and widgetsBackground and foreground colors for Navbar, Dropdown and PanelsSize of title bar and text.Top and bottom layouts.Display a Search box to enable navigation to addresses and places.Use CasesApply custom colors, themes and layouts to the Navbar, Dropdown Menu, Panels, and WidgetsPresent a map based application that includes a legend and the ability to change the basemap.Get Started This application can be created in the following ways:Click the Create a Web App button on this pageShare a map and choose to Create a Web AppOn the Content page, click Create - App - From Template Click the Download button to access the source code. Do this if you want to host the app on your own server and optionally customize it to add features or change styling.Click Create a Web App on the item detail page for a web map.

The ArcGIS Javascript API lets developers build GIS web applications. The Javascript API is one of many that could be used but it's a great starting place. Students may also be interested in the Python API or others!

Author: Megan Banaski (mbanaski@esri.com) and Max Ozenberger (mozenberger@esri.com)Last Updated: 1/1/2024Intended Environment: WebPurpose:Exercise A1: Review HTML, CSS, and JavaScript This lab is part of GitHub repository that contains short labs that step you through the process of developing a web application with ArcGIS API for JavaScript.The labs start from ground-zero and work through the accessing different aspects of the API and how to begin to build an application and add functionality.Requirements: Here are the resources you will use for the labs.ArcGIS for Developers - Account, Documentation, Samples, Apps, DownloadsEsri Open Source Projects - More source codeA simple guide for setting up a local web server (optional)Help with HTML, CSS, and JavaScript

Learn state-of-the-art skills to build compelling, useful, and fun Web GIS apps easily, with no programming experience required.Building on the foundation of the previous three editions, Getting to Know Web GIS, fourth edition,features the latest advances in Esri’s entire Web GIS platform, from the cloud server side to the client side.Discover and apply what’s new in ArcGIS Online, ArcGIS Enterprise, Map Viewer, Esri StoryMaps, Web AppBuilder, ArcGIS Survey123, and more.Learn about recent Web GIS products such as ArcGIS Experience Builder, ArcGIS Indoors, and ArcGIS QuickCapture. Understand updates in mobile GIS such as ArcGIS Collector and AuGeo, and then build your own web apps.Further your knowledge and skills with detailed sections and chapters on ArcGIS Dashboards, ArcGIS Analytics for the Internet of Things, online spatial analysis, image services, 3D web scenes, ArcGIS API for JavaScript, and best practices in Web GIS.Each chapter is written for immediate productivity with a good balance of principles and hands-on exercises and includes:A conceptual discussion section to give you the big picture and principles,A detailed tutorial section with step-by-step instructions,A Q/A section to answer common questions,An assignment section to reinforce your comprehension, andA list of resources with more information.Ideal for classroom lab work and on-the-job training for GIS students, instructors, GIS analysts, managers, web developers, and other professionals, Getting to Know Web GIS, fourth edition, uses a holistic approach to systematically teach the breadth of the Esri Geospatial Cloud.AUDIENCEProfessional and scholarly. College/higher education. General/trade.AUTHOR BIOPinde Fu leads the ArcGIS Platform Engineering team at Esri Professional Services and teaches at universities including Harvard University Extension School. His specialties include web and mobile GIS technologies and applications in various industries. Several of his projects have won specialachievement awards. Fu is the lead author of Web GIS: Principles and Applications (Esri Press, 2010).Pub Date: Print: 7/21/2020 Digital: 6/16/2020 Format: Trade paperISBN: Print: 9781589485921 Digital: 9781589485938 Trim: 7.5 x 9 in.Price: Print: $94.99 USD Digital: $94.99 USD Pages: 490TABLE OF CONTENTSPrefaceForeword1 Get started with Web GIS2 Hosted feature layers and storytelling with GIS3 Web AppBuilder for ArcGIS and ArcGIS Experience Builder4 Mobile GIS5 Tile layers and on-premises Web GIS6 Spatial temporal data and real-time GIS7 3D web scenes8 Spatial analysis and geoprocessing9 Image service and online raster analysis10 Web GIS programming with ArcGIS API for JavaScriptPinde Fu | Interview with Esri Press | 2020-07-10 | 15:56 | Link.

Imagine that you have been asked to update your organization's web pages. The web pages that you must update were built using a combination of Hypertext Markup Language (HTML), cascading style sheets (CSS), and JavaScript. You have never coded a web page, let alone even know what the acronym HTML stands for. The question of how to start the task begins to overwhelm you. This web course is designed to help you understand the basics of HTML, learn how to apply CSS to a web page, and get you started coding JavaScript.After completing this course, you will be able to perform the following tasks:Differentiate between HTML, CSS, and JavaScript.Recognize code type within a web map application handled in questions for understanding.Given code, alter the position and style of components within a web map app.

Meet Earth EngineGoogle Earth Engine combines a multi-petabyte catalog of satellite imagery and geospatial datasets with planetary-scale analysis capabilities and makes it available for scientists, researchers, and developers to detect changes, map trends, and quantify differences on the Earth's surface.SATELLITE IMAGERY+YOUR ALGORITHMS+REAL WORLD APPLICATIONSLEARN MOREGLOBAL-SCALE INSIGHTExplore our interactive timelapse viewer to travel back in time and see how the world has changed over the past twenty-nine years. Timelapse is one example of how Earth Engine can help gain insight into petabyte-scale datasets.EXPLORE TIMELAPSEREADY-TO-USE DATASETSThe public data archive includes more than thirty years of historical imagery and scientific datasets, updated and expanded daily. It contains over twenty petabytes of geospatial data instantly available for analysis.EXPLORE DATASETSSIMPLE, YET POWERFUL APIThe Earth Engine API is available in Python and JavaScript, making it easy to harness the power of Google’s cloud for your own geospatial analysis.EXPLORE THE APIGoogle Earth Engine has made it possible for the first time in history to rapidly and accurately process vast amounts of satellite imagery, identifying where and when tree cover change has occurred at high resolution. Global Forest Watch would not exist without it. For those who care about the future of the planet Google Earth Engine is a great blessing!-Dr. Andrew Steer, President and CEO of the World Resources Institute.CONVENIENT TOOLSUse our web-based code editor for fast, interactive algorithm development with instant access to petabytes of data.LEARN ABOUT THE CODE EDITORSCIENTIFIC AND HUMANITARIAN IMPACTScientists and non-profits use Earth Engine for remote sensing research, predicting disease outbreaks, natural resource management, and more.SEE CASE STUDIESREADY TO BE PART OF THE SOLUTION?SIGN UP NOWTERMS OF SERVICE PRIVACY ABOUT GOOGLE

The web service publishing DMP 1G data is designed for a displaying of the detailed elevation model via a web interface in 3D, in Web Mercator coordinate reference system. Service provides data in a specialized data format LERC (https://github.com/Esri/lerc), that enables efficient data compression with regard to fast data transmission and displaying data in 3D applications. For the displaying data it is possible to use existing Esri application such as Scene Viewer (https://www.esri.com/software/scene-viewer), ArcGIS Pro (http://www.esri.com/en/software/arcgis-pro), or ArcGIS Earth (http://www.esri.com/software/arcgis-earth).The service can also be used for displaying the elevation model in 3D in a proper web application using a library ArcGiS API for JavaScript 4.x or native applications using ArcGIS Runtime SDK.

This file contains the digital vector boundaries for Nomenclature of Territorial Units for Statistics Level 1, in the United Kingdom, as at January 2018.

NUTS areas in England and Wales are unchanged but there are changes in Scotland (at NUTS2) and in Northern Ireland (NUTS3). In Scotland a fifth NUTS2 area has been created (Southern Scotland), while in Northen Ireland the new NUTS3 areas will now match the 11 local government districts.

• Full resolution - extent of the realm (usually this is the Mean Low Water mark but in some cases boundaries extend beyond this to include off shore islands);
  
• Full resolution - clipped to the coastline (Mean High Water mark);
  
• Generalised (20m) - clipped to the coastline (Mean High Water mark);
  
• Super generalised (200m) - clipped to the coastline (Mean High Water mark) and
  
• Ultra generalised (500m) - clipped to the coastline (Mean High Water mark).
  

Contains both Ordnance Survey and ONS Intellectual Property Rights.

Download File Sizes

• Full resolution - extent of the realm (30 MB)
• Full resolution - clipped to the coastline (34 MB)
• Generalised (20m) - clipped to the coastline (3 MB)
• Super generalised (200m) - clipped to the coastline (648 KB)
• Ultra generalised (500m) - clipped to the coastline (263 KB).

https://cdn.arcgis.com/cdn/20886/js/jsapi/dojo/resources/blank.gif" />

REST URL of ArcGIS for INSPIRE View Service – https://ons-inspire.esriuk.com/arcgis/rest/services/Eurostat_Boundaries/NUTS_Level_1_January_2018_Boundaries/MapServer/exts/InspireView

REST URL of ArcGIS for INSPIRE Feature Download Service – https://ons-inspire.esriuk.com/arcgis/rest/services/Eurostat_Boundaries/NUTS_Level_1_January_2018_Boundaries/MapServer/exts/InspireFeatureDownload

REST URL of Feature Service (use these URLs in maps, where you can view pop-up information and change the styling) - https://ons-inspire.esriuk.com/arcgis/rest/services/Eurostat_Boundaries/NUTS_Level_1_January_2018_Boundaries/FeatureServer

This web application highlights some of the capabilities for accessing Landsat imagery layers, powered by ArcGIS for Server, accessing Landsat Public Datasets running on the Amazon Web Services Cloud. The layers are updated with new Landsat images on a daily basis.

Created for you to visualize our planet and understand how the Earth has changed over time, the Esri Landsat Explorer app provides the power of Landsat satellites, which gather data beyond what the eye can see. Use this app to draw on Landsat's different bands to better explore the planet's geology, vegetation, agriculture, and cities. Additionally, access the entire Landsat archive to visualize how the Earth's surface has changed over the last forty years.

Quick access to the following band combinations and indices is provided:

• Agriculture : Highlights agriculture in bright green; Bands 6, 5, 2
• Natural Color : Sharpened with 15m panchromatic band; Bands 4, 3, 2 +8
• Color Infrared : Healthy vegetation is bright red; Bands 5, 4 ,3
• SWIR (Short Wave Infrared) : Highlights rock formations; Bands 7, 6, 4
• Geology : Highlights geologic features; Bands 7, 6, 2
• Bathymetric : Highlights underwater features; Bands 4, 3, 1
• Panchromatic : Panchromatic images at 15m; Band 8
• Vegetation Index : Normalized Difference Vegetation Index(NDVI); (Band 5 - Band 4)/(Band 5 + Band 4)
• Moisture Index : Normalized Difference Moisture Index (NDMI); (Band 5 - Band 6)/(Band 5 + Band 6)
• SAVI : Soil Adjusted Veg. Index); Offset + Scale*(1.5*(Band 5 - Band 4)/(Band 5 + Band 4 + 0.5))
• Water Index : Offset + Scale*(Band 3 - Band 6)/(Band 3 + Band 6)
• Burn Index : Offset + Scale*(Band 5 - Band 7)/(Band 5 + Band 7)
• Urban Index : Offset + Scale*(Band 5 - Band 6)/(Band 5 + Band 6)

Important Note: This item is in mature support as of February 2024 and is no longer being updated. A new version of this item is available for your use.This web application highlights some of the capabilities for accessing Landsat imagery layers, powered by ArcGIS for Server, accessing Landsat Public Datasets running on the Amazon Web Services Cloud. The layers are updated with new Landsat images on a daily basis.Created for you to visualize our planet and understand how the Earth has changed over time, the Esri Landsat Explorer app provides the power of Landsat satellites, which gather data beyond what the eye can see. Use this app to draw on Landsat's different bands to better explore the planet's geology, vegetation, agriculture, and cities. Additionally, access the entire Landsat archive to visualize how the Earth's surface has changed over the last forty years.Quick access to the following band combinations and indices is provided:Agriculture : Highlights agriculture in bright green; Bands 6, 5, 2Natural Color : Sharpened with 15m panchromatic band; Bands 4, 3, 2 +8Color Infrared : Healthy vegetation is bright red; Bands 5, 4 ,3 SWIR (Short Wave Infrared) : Highlights rock formations; Bands 7, 6, 4Geology : Highlights geologic features; Bands 7, 6, 2Bathymetric : Highlights underwater features; Bands 4, 3, 1Panchromatic : Panchromatic images at 15m; Band 8Vegetation Index : Normalized Difference Vegetation Index(NDVI); (Band 5 - Band 4)/(Band 5 + Band 4)Moisture Index : Normalized Difference Moisture Index (NDMI); (Band 5 - Band 6)/(Band 5 + Band 6)SAVI : Soil Adjusted Veg. Index); Offset + Scale*(1.5*(Band 5 - Band 4)/(Band 5 + Band 4 + 0.5))Water Index : Offset + Scale*(Band 3 - Band 6)/(Band 3 + Band 6)Burn Index : Offset + Scale*(Band 5 - Band 7)/(Band 5 + Band 7)Urban Index : Offset + Scale*(Band 5 - Band 6)/(Band 5 + Band 6)Optionally, you can also choose the "Custom Bands" or "Custom Index" option to create your own band combinationsThe Time tool enables access to a temporal time slider and a temporal profile of different indices for a selected point. The Time tool is only accessible at larger zoom scales. It provides temporal profiles for NDVI (Normalized Difference Vegetation Index), NDMI (Normalized Difference Moisture Index) and Urban Index. The Identify tool enables access to information on the images, and can also provide a spectral profile for a selected point. The Stories tool will direct you to pre-selected interesting locations.The application is written using Web AppBuilder for ArcGIS accessing imagery layers using ArcGIS API for JavaScript.The following Imagery Layers are being accessed : Multispectral Landsat - Provides access to 30m 8-band multispectral imagery and a range of functions that provide different band combinations and indices.Pansharpened Landsat - Provides access to 15m 4-band (Red, Green, Blue and NIR) panchromatic-sharpened imagery.Panchromatic Landsat - Provides access to 15m panchromatic imagery. These imagery layers can be accessed through the public group Landsat Community on ArcGIS Online.

Author: Megan Banaski (mbanaski@esri.com) and Max Ozenberger (mozenberger@esri.com)Last Updated: 1/1/2024Intended Environment: WebPurpose:Exercise E5: Style layer popup This lab is part of GitHub repository that contains short labs that step you through the process of developing a web application with ArcGIS API for JavaScript.The labs start from ground-zero and work through the accessing different aspects of the API and how to begin to build an application and add functionality.Requirements: Here are the resources you will use for the labs.ArcGIS for Developers - Account, Documentation, Samples, Apps, DownloadsEsri Open Source Projects - More source codeA simple guide for setting up a local web server (optional)Help with HTML, CSS, and JavaScript

This file contains the digital vector boundaries for Nomenclature of Territorial Units for Statistics Level 1, in the United Kingdom, as at January 2018.

NUTS areas in England and Wales are unchanged but there are changes in Scotland (at NUTS2) and in Northern Ireland (NUTS3). In Scotland a fifth NUTS2 area has been created (Southern Scotland), while in Northen Ireland the new NUTS3 areas will now match the 11 local government districts.

• Full resolution - extent of the realm (usually this is the Mean Low Water mark but in some cases boundaries extend beyond this to include off shore islands);
  
• Full resolution - clipped to the coastline (Mean High Water mark);
  
• Generalised (20m) - clipped to the coastline (Mean High Water mark);
  
• Super generalised (200m) - clipped to the coastline (Mean High Water mark) and
  
• Ultra generalised (500m) - clipped to the coastline (Mean High Water mark).
  

Contains both Ordnance Survey and ONS Intellectual Property Rights.

Download File Sizes

• Full resolution - extent of the realm (30 MB)
• Full resolution - clipped to the coastline (34 MB)
• Generalised (20m) - clipped to the coastline (3 MB)
• Super generalised (200m) - clipped to the coastline (648 KB)
• Ultra generalised (500m) - clipped to the coastline (263 KB).

https://cdn.arcgis.com/cdn/20886/js/jsapi/dojo/resources/blank.gif" />

REST URL of ArcGIS for INSPIRE View Service – https://ons-inspire.esriuk.com/arcgis/rest/services/Eurostat_Boundaries/NUTS_Level_1_January_2018_Boundaries/MapServer/exts/InspireView

REST URL of ArcGIS for INSPIRE Feature Download Service – https://ons-inspire.esriuk.com/arcgis/rest/services/Eurostat_Boundaries/NUTS_Level_1_January_2018_Boundaries/MapServer/exts/InspireFeatureDownload

REST URL of Feature Service (use these URLs in maps, where you can view pop-up information and change the styling) - https://ons-inspire.esriuk.com/arcgis/rest/services/Eurostat_Boundaries/NUTS_Level_1_January_2018_Boundaries/FeatureServer

More Metadata"Bedrock" is one of four layers which collectively describe the subsurface geologic formation, structural geology and surficial deposits. "Bedrock" is the subsurface expression of the geologic formations near the ground surface as mapped by outcrops and well borings. The geology of Loudoun County, Virginia, was mapped in 1988 through 1991 under a cooperative agreement between the U.S. Geological Survey (USGS) and the Loudoun County Department of Environmental Resources. This geologic map was compiled in 1993 from a series of detailed published and unpublished field investigations at scales of 1:12,000 and 1:24,000. Some of these same data were compiled as a digital geologic map at 1:100,000 scale (Burton and others, 1992a) and were the basis for a cost-benefit analysis of the societal value of geologic maps (Bernknopf and others, 1993). The data was later revised and published by USGS in the Open File Report, MAP OF-99-150, GEOLOGIC MAP OF LOUDOUN COUNTY, VIRGINIA By Scott Southworth, W.C. Burton, J.S. Schindler, and A.J. Froelich1 with contributions on the geology of the Piedmont province by A.A. Drake, Jr., and R.E. Weems and an aeromagnetic survey by D.L. Daniels, W.F. Hanna, and R.E. Bracken.

RTB Maps is a cloud-based electronic Atlas. We used ArGIS 10 for Desktop with Spatial Analysis Extension, ArcGIS 10 for Server on-premise, ArcGIS API for Javascript, IIS web services based on .NET, and ArcGIS Online combining data on the cloud with data and applications on our local server to develop an Atlas that brings together many of the map themes related to development of roots, tubers and banana crops. The Atlas is structured to allow our participating scientists to understand the distribution of the crops and observe the spatial distribution of many of the obstacles to production of these crops. The Atlas also includes an application to allow our partners to evaluate the importance of different factors when setting priorities for research and development. The application uses weighted overlay analysis within a multi-criteria decision analysis framework to rate the importance of factors when establishing geographic priorities for research and development. Datasets of crop distribution maps, agroecology maps, biotic and abiotic constraints to crop production, poverty maps and other demographic indicators are used as a key inputs to multi-objective criteria analysis www.rtb.cgiar.org/RTBMaps

Based on the World Ocean Atlas' global ocean variable measurements we classified the oceanic water bodies into 37 volumetric regions, called ecological marine units. These volumetric region units can be used to support climate change impact studies, conservation priority setting, and marine spatial planning. Read more about how these regions were created in the research article A Three-Dimensional Mapping of the Ocean based on Environmental Data, which appeared in March 2017 in the Oceanography journal.This application visualizes ecological marine units using voxel scene layers. You can read more about voxel layers in the ArcGIS Pro documentation. This application was built using ArcGIS API for JavaScript (read more about web voxel layers). The original netCDF dataset can be found here. The code for the application is available on GitHub.Related work:Ecological Marine Units Explorer - a web application that visualizes the ocean as a 3D grid.Esri's website on Ecological Marine Units.

Author: Megan Banaski (mbanaski@esri.com) and Max Ozenberger (mozenberger@esri.com)Last Updated: 1/1/2024Intended Environment: WebPurpose:Exercise C3: Add a Feature Layer or Add a Scene Layer This lab is part of GitHub repository that contains short labs that step you through the process of developing a web application with ArcGIS API for JavaScript.The labs start from ground-zero and work through the accessing different aspects of the API and how to begin to build an application and add functionality.Requirements: Here are the resources you will use for the labs.ArcGIS for Developers - Account, Documentation, Samples, Apps, DownloadsEsri Open Source Projects - More source codeA simple guide for setting up a local web server (optional)Help with HTML, CSS, and JavaScript

The datasets used for this manuscript were derived from multiple sources: Denver Public Health, Esri, Google, and SafeGraph. Any reuse or redistribution of the datasets are subjected to the restrictions of the data providers: Denver Public Health, Esri, Google, and SafeGraph and should consult relevant parties for permissions.1. COVID-19 case dataset were retrieved from Denver Public Health (Link: https://storymaps.arcgis.com/stories/50dbb5e7dfb6495292b71b7d8df56d0a )2. Point of Interests (POIs) data were retrieved from Esri and SafeGraph (Link: https://coronavirus-disasterresponse.hub.arcgis.com/datasets/6c8c635b1ea94001a52bf28179d1e32b/data?selectedAttribute=naics_code) and verified with Google Places Service (Link: https://developers.google.com/maps/documentation/javascript/reference/places-service)3. The activity risk information is accessible from Texas Medical Association (TMA) (Link: https://www.texmed.org/TexasMedicineDetail.aspx?id=54216 )The datasets for risk assessment and mapping are included in a geodatabase. Per SafeGraph data sharing guidelines, raw data cannot be shared publicly. To view the content of the geodatabase, users should have installed ArcGIS Pro 2.7. The geodatabase includes the following:1. POI. Major attributes are locations, name, and daily popularity.2. Denver neighborhood with weekly COVID-19 cases and computed regional risk levels.3. Simulated four travel logs with anchor points provided. Each is a separate point layer.

National Library of Scotland Historic Maps APIHistorical Maps of Great Britain for use in mashups and ArcGIS Onlinehttps://nls.tileserver.com/https://maps.nls.uk/projects/api/index.htmlThis seamless historic map can be:embedded in your own websiteused for research purposesused as a backdrop for your own markers or geographic dataused to create derivative work (such as OpenStreetMap) from it.The mapping is based on out-of-copyright Ordnance Survey maps, dating from the 1920s to the 1940s.The map can be directly opened in a web browser by opening the Internet address: https://nls.tileserver.com/The map is ready for natural zooming and panning with finger pinching and dragging.How to embed the historic map in your websiteThe easiest way of embedding the historical map in your website is to copy < paste this HTML code into your website page. Simple embedding (try: hello.html):You can automatically position the historic map to open at a particular place or postal address by appending the name as a "q" parameter - for example: ?q=edinburgh Embedding with a zoom to a place (try: placename.html):You can automatically position the historic map to open at particular latitude and longitude coordinates: ?lat=51.5&lng=0&zoom=11. There are many ways of obtaining geographic coordinates. Embedding with a zoom to coordinates (try: coordinates.html):The map can also automatically detect the geographic location of the visitor to display the place where you are right now, with ?q=auto Embedding with a zoom to coordinates (try: auto.html):How to use the map in a mashupThe historic map can be used as a background map for your own data. You can place markers on top of it, or implement any functionality you want. We have prepared a simple to use JavaScript API to access to map from the popular APIs like Google Maps API, Microsoft Bing SDK or open-source OpenLayers or KHTML. To use our map in your mashups based on these tools you should include our API in your webpage: ... ...

This data is part of the series of maps that covers the whole of Australia at a scale of 1:250 000 (1cm on a map represents 2.5km on the ground) and comprises 513 maps. This is the largest scale at which published topographic maps cover the entire continent. Data is downloadable in various distribution formats.

Continuously updated US flooding information from the National Weather Service shows observed flooding locations, current & forecast precipitation, and flood warning areas. The stream gauges and weather watches layers allow you to identify features to get specific information such as flooding height, weather related issue, and severity. For a map that focuses on more general weather reports and current radar, see our Severe Weather Map.

About the data:

Stream gauges with flooding: This is an aggregated live feed derived from the NOAA/USGS Stream Gauges site using the National Weather Service’s River Observation data.

Flood Warnings (short and long term): This is an aggregated live feed derived from the NOAA Weather Warnings Watches and Advisory data provided through the Common Alerting Protocol (CAP) Alert system.

72-hour Forecast Total Precipitation: The data displaying forecast precipitation for the next 72 hours is Quantitative Precipitation Forecast (QPF). QPF is the amount of expected rainfall (in hundredths of inches) every six hours. This data is recorded by NDFD at 0000, 0600, 1200 and 1800. Organization: NDFD (National Digital Forecast Database)

Radar: Provided by AccuWeather, Inc.. For more information on the predictive services AccuWeather provides visit the ArcGIS Marketplace.