Total file size: about 367M in zip format and about 600M after extracted. (To download: click the Download button at the upper right area of this page)Alternatively, you can download the data by chapters:- Go to https://go.esri.com/gtkwebgis4- Under Group Categories on the left, click each chapter, you will see the data file to download for that chapter.

This tutorial will teach you how to take time-series data from many field sites and create a shareable online map, where clicking on a field location brings you to a page with interactive graph(s).

The tutorial can be completed with a sample dataset (provided via a Google Drive link within the document) or with your own time-series data from multiple field sites.

Part 1 covers how to make interactive graphs in Google Data Studio and Part 2 covers how to link data pages to an interactive map with ArcGIS Online. The tutorial will take 1-2 hours to complete.

An example interactive map and data portal can be found at: https://temple.maps.arcgis.com/apps/View/index.html?appid=a259e4ec88c94ddfbf3528dc8a5d77e8

Coconuts and coconut products are an important commodity in the Tongan economy. Plantations, such as the one in the town of Kolovai, have thousands of trees. Inventorying each of these trees by hand would require lots of time and manpower. Alternatively, tree health and location can be surveyed using remote sensing and deep learning. In this lesson, you'll use the Deep Learning tools in ArcGIS Pro to create training samples and run a deep learning model to identify the trees on the plantation. Then, you'll estimate tree health using a Visible Atmospherically Resistant Index (VARI) calculation to determine which trees may need inspection or maintenance.

To detect palm trees and calculate vegetation health, you only need ArcGIS Pro with the Image Analyst extension. To publish the palm tree health data as a feature service, you need ArcGIS Online and the Spatial Analyst extension.

In this lesson you will build skills in these areas:

• Creating training schema
• Digitizing training samples
• Using deep learning tools in ArcGIS Pro
• Calculating VARI
• Extracting data to points

Learn ArcGIS is a hands-on, problem-based learning website using real-world scenarios. Our mission is to encourage critical thinking, and to develop resources that support STEM education.

In this tutorial, you will explore some of the many ways to work with image services in ArcGIS Pro using data from the ArcGIS Living Atlas of the World.

The ArcGIS INSPIRE Open Data solution is designed for European public data authorities to publish, share, and use streamlined INSPIRE data and services as open data. This story map describes the capabilities provided in the solution and how you can leverage these capabilities in your organization.When the INSPIRE community started talking about simplifying and mainstreaming technical requirements, we saw an exciting opportunity to look at INSPIRE in a modern context. INSPIRE Open Data supports the European Strategy for Data. It makes INSPIRE data easier to use through Alternative Encodings and helps you apply FAIR data principles (findable, accessible, interoperable, and reusable) consistent with the PSI-2/Open Data Directive.

An ArcGIS Blog tutorial that guides you through creating your first dashboard using ArcGIS Dashboards.ArcGIS Dashboards is a configurable web app available in ArcGIS Online that enables users to convey information by presenting interactive charts, gauges, maps, and other visual elements that work together on a single screen.In this tutorial you will create a simple dashboard using ArcGIS Dashboards. The dashboard uses a map of medical facilities in Los Angeles County (sample data only) and includes interactive chart and list elements._Communities around the world are taking strides in mitigating the threat that COVID-19 (coronavirus) poses. Geography and location analysis have a crucial role in better understanding this evolving pandemic.When you need help quickly, Esri can provide data, software, configurable applications, and technical support for your emergency GIS operations. Use GIS to rapidly access and visualize mission-critical information. Get the information you need quickly, in a way that’s easy to understand, to make better decisions during a crisis.Esri’s Disaster Response Program (DRP) assists with disasters worldwide as part of our corporate citizenship. We support response and relief efforts with GIS technology and expertise.More information...

This tutorial requires the Image Analyst Extension and focuses on using the FMV player in Pro to view video. Learn more about all the capabilities of FMV.

This resource contains the test data for the GeoServer OGC Web Services tutorials for various GIS applications including ArcGIS Pro, ArcMap, ArcGIS Story Maps, and QGIS. The contents of the data include a polygon shapefile, a polyline shapefile, a point shapefile, and a raster dataset; all of which pertain to the state of Utah, USA. The polygon shapefile is of every county in the state of Utah. The polyline is of every trail in the state of Utah. The point shapefile is the current list of GNIS place names in the state of Utah. The raster dataset covers a region in the center of the state of Utah. All datasets are projected to NAD 1983 Zone 12N.

Overview and How-to Tutorial Videos for Using NEWTS Data Video 1: Overview of NEWTS Database Video 2: How-to tutorial for EPA Flue Gas Desulfurization (FGD) Effluent NEWTS dataset Video 3: How-to tutorial for USGS Produced Waters NEWTS dataset Video 4: How-to tutorial for EPA Ash NEWTS dataset Video 5: How-to tutorial for Quillinan, et al 2018 DOE Geothermal Technology Office REE dataset Video 6: Tutorial video on navigating the NEWTS Dashboard, with an overview of NEWTS and navigating between the NEWTS Dashboard and Datasets (https://netl-doe.maps.arcgis.com/apps/dashboards/a5fa4192f7c6478dab3d6180d9c30b84) Video 7: Additional tutorial video on navigating the NEWTS Dashboard and investigating specific data points in the Dashboard and Datasets Video 8: Re-record of recent webinar giving an overview of the NEWTS Database and Dashboard, including interacting with the NEWTS Dashboard, locating specific data points, and finding the relevant streams in the NEWTS Database and datasets on EDX. Includes overview of the datasets, case studies, and steps for taking stream data from the database and modeling stream data in OLI Studio and Geochemist's Workbench. Note: Video 3 tutorial is also applicable to the USGS Brackish Water NEWTS dataset.

This notebook was derived from a Learn ArcGIS lesson. For another way to complete this workflow, try the Get Started with Insights for ArcGIS lesson.An extended version of this notebook and other data science workflows like it will be available in ArcGIS Notebooks, coming to ArcGIS Enterprise at the 10.7 release.One indicator of a region's growth is the number of permits issued for new construction. Exploring and analyzing permit activity can help regional planners ensure that development occurs in accordance to the area's long-term goals. One area that has recently experienced rapid growth is Montgomery County, Maryland, a suburban county near Washington, D.C. County planners want to observe spatial and temporal growth trends, find out why certain areas are growing faster than others, and communicate key information about the county's growth to the public.

Mapping Our World Using GIS is a 1:1 set of instructional materials for teaching basic concepts found in middle school world geography. Each module consists of multiple files.

The Mapping Our World collection is at: http://esriurl.com/MOW.

All Esri GeoInquiries can be found at: http://www.esri.com/geoinquiries

        This computer activity will show you how to start the ArcGIS Online program. You will be guided

through the basics of using ArcGIS Online map viewer to explore maps. After you do this activity, you will be prepared to complete other GIS activities.

Instructions on how to search ArcGIS Online for a layer containing Plate Boundaries (published / owned by the Education Team at Esri Canada) and then to add the Plate Boundaries layer to a Web Map.Document designed to support the Natural Hazards - Earthquakes story map

GoalsSymbolize dense point features.Add and label reference data.Configure a layout for print maps.

Crowdsourcing is a way to obtain information from the public by enlisting the services of the general public or volunteers via the Internet. This can be a valuable source of information during a disaster if it is done in a way that answers important questions, for instance:

• Where are roads obstructed by standing water?

• What homes have individuals that need assistance evacuating?

• Where are debris that needs to be removed?

Tutorial Audience: GIS / Technology SpecialistsEnd User Audience: Emergency Management Planning and Operations Staff

Problem: The emergency management agency has requested that you prepare a crowdsourcing solution in advance of the next disaster. The data collected must be structured in a way so that it is informative and actionable for decision makers. Your crowdsourcing app should be:

• Fast and easy to use for the Public.

• The database behind it should contain structured information that answers specific questions for emergency managers (e.g. Where are the hazards? How severe is it? Where should we focus our resources?).

• Allows for submitting attachments such as photos.

Solution: Survey123 Web FormRequirements: You will need a license for ArcGIS Online to complete this tutorial.Note: This tutorial works with the Public Information Application Tutorial.

PurposeThis job aid will lead the GIS analyst through the process of manually creating an incident map journal and how to create additional pages for the journal. This process should be used at the beginning of an incident and then the journal should be maintained to assure it remains viable. The incident map journal serves as a curated center to place maps, apps, and dashboards relevant to the incident.

This job aid assumes a working knowledge of how to create maps, apps, and dashboards on ArcGIS Online. For a tutorial, go to the Create apps from maps - ArcGIS Tutorial.Example workflow for the Geo-Enabled Plans Session at InSPIRE. Job Aid developed by FEMA GIS to enable GIS analysts to rapidly spin-up a standardized incident journal.

In this tutorial, you will explore ArcGIS Pro orthomapping capability for using satellite imagery to create terrain and imagery products.

In this tutorial, you'll learn how to build a raster function template (RFT) in ArcGIS Pro to support a processing workflow for assessing vegetation coverage and relative health.

The Geoscience Australia’s Semi-automated Morphological Mapping Tools (GA-SaMMT) were developed as ArcGIS Pro Python tools using Python 3+ to map ten bathymetric high and eight bathymetric low Morphology Features (defined in Dove et al., 2020; cf. Nanson et al., 2023). These tools comprise seven toolboxes: 1. The BathymetricHigh.pyt toolbox is used to map bathymetric high features, and includes three tools: (i) TPI Tool Bathymetric High; (ii) TPI LMI Tool Bathymetric High; (iii) and Openness Tool Bathymetric High. 2. The BathymetricLow.pyt toolbox is used to map bathymetric low features, and includes three tools: (i) TPI Tool Bathymetric Low; (ii) TPI CI Tool Bathymetric Low; and (iii) Openness Tool Bathymetric Low. 3. The AddAttributes.pyt toolbox is used to calculate attributes for bathymetric high and low features, and includes six tools: (i) Add Shape Attributes High Tool; (ii) Add Shape Attributes Low Tool; (iii) Add Topographic Attributes High Tool; (iv) Add Topographic Attributes Low Tool; (v) Add Profile Attributes High Tool; and (vi) Add Profile Attributes Low Tool. 4. The AddAttributesFast.pyt toolbox is also used to calculate attributes for bathymetric high and low features, and has the advantage (over the AddAttributes.pyt toolbox) of having multiprocessing capabilities. This version of the add attributes toolbox contains four tools: (i) Add Shape Attributes High Tool Fast; (ii) Add Shape Attributes Low Tool Fast; (iii) Add Profile Attributes High Tool Fast; and (iv) Add Profile Attributes Low Tool Fast. The two add topographic attributes tools do not require multiprocessing capabilities to improve their performance. 5. The ClassificationFeature.pyt toolbox is used to classify bathymetric high and low features into Morphological Feature categories defined in Dove et al. (2020), and includes two tools: (i) Classify Bathymetric High Features; and (ii) Classify Bathymetric Low Features. 6. The Accessory_Tools.pyt toolbox provides four accessory tools to help the mapping processes: (i) Merge Connected Features Tool; (ii) Connect Nearby Linear Features Tool; (iii) Connect Nearby Linear HF Features Tool; and (iv) Update Feature Boundary Tool. 7. The Surface.pyt toolbox is used to map three classes of Morphological surfaces (Dove et al., 2020), and includes two tools: (i) Morphological Surface Tool Bathymetry; and (ii) Morphological Surface Tool Slope. The system and data format requirements of these ArcGIS tools are described in the tutorials and user guide that accompany the tools, which also include sampled data and step-by-step examples of their application. Further details of these tools, including their description, graphic illustrations and usages, and python code examples, are also available in their metadata. These tools have been applied to many study areas with real world applications, including those published in Huang et al. (2023) which should be used as the key reference to the GA-SaMMT. Dove, D., Nanson, R., Bjarnadóttir, L., Guinan, J., Gafeira, J., Post, A., Dolan, M.; Stewart, H.; Arosio, R, Scott, G. (October, 2020). A two-part seabed geomorphology classification scheme (v.2); Part 1: morphology features glossary. Zenodo. http://doi.org/10.5281/zenodo.4075248 Nanson, R., Arosio, R., Gafeira, J., McNeil, M., Dove, D., Bjarnadóttir, L., Dolan, M., Guinan, J., Post, A., Webb, J., & Nichol, S. (2023). A two-part seabed geomorphology classification scheme; Part 2: Geomorphology classification framework and glossary (Version 1.0) (1.0). Zenodo. https://doi.org/10.5281/zenodo.7804019 Huang, Z., Nanson, R., McNeil, M., Wenderlich, M., Gafeira, J., Post, A, Nichol, S., 2023. Rule-based semi-automated tools for mapping seabed morphology from bathymetry data, Frontiers in Marine Science, 10, 1236788.

In this tutorial, you will explore ArcGIS Pro orthomapping capability for using digital aerial imagery to create terrain and imagery products.

This collection of images depict Boston, Massachusetts, with particular emphasis on Dorchester Avenue. Some of the images contain photographs of the area, while others detail Dorchester Avenue's history using a timeline. The images are associated with chapters 1 through 4 of the PLAN South Boston Dorchester Avenue report, which contains the history, current conditions, outreach initiatives, goals, and objectives of a proposed plan to create a new mixed-use urban district in Boston, Massachusetts.These images are intended for use in the Storify a planning report tutorial, which details the process of creating a story in ArcGIS StoryMaps for the plan. The story includes maps and a scene that showcase the proposed district. The plan itself was created by the Boston Planning & Development Agency (BPDA).