What's new in ArcGIS tutorials Oct - Dec 2025
Share a scene
Any map or scene has an audience. Usually, the audience is diverse and can range from GIS experts to the public. This tutorial shows you the tools necessary to create an easy and intuitive 3D presentation of your scene and your story. Whether you are informing your team about the latest development projects, publishing research results, or sharing hiking trails with the public—the tools for presenting scenes make your scene accessible to everyone.
This tutorial is the third in the series called Get started with Scene Viewer. If you are new to Scene Viewer or haven't completed the first two tutorials in the series, it is recommended that you complete the other tutorials first: Explore a scene and Create a scene.
Classify a lidar point cloud
The City of Copenhagen, Denmark, is redeveloping the district of Tuborg Havn, and they want to use a lidar point cloud for modeling the neighborhood in 3D. This will support further urban planning activities. In this tutorial, as a remote sensing analyst for the city, you will classify lidar cloud points representing the ground, buildings, vegetation, or noise. You will also learn to filter the points based on their assigned class for visualization and processing. Classifying a point cloud is a key step to support many workflows, such as creating elevation rasters or extracting 3D buildings and trees, and help better communicate what the world around us looks like.
Configure a map for a bilingual app
In this tutorial, you're a GIS professional working for the United States National Park Service. You've been tasked with creating a map of the Santa Monica Mountains National Recreation Area near Los Angeles. Specifically, your map will need to display information in pop-ups about trailheads and trails in both English and Spanish.
First, you'll review the attribute tables of the trailhead and trail layers available to you. Then, you'll use Arcade to build pop-ups for each layer. Finally, you'll confirm the map delivers the information required in both languages.
Explore Landsat imagery of a volcano eruption
In 2018, the eruption of the Kilauea volcano on Hawaii's Big Island was a major event and caused significant destruction. In this tutorial, you'll prepare and explore Landsat satellite imagery captured before, during, and after the eruption. Landsat is the longest running satellite program for Earth observation in the world. It has captured millions of images that provide continuous, global coverage over several decades, making Landsat an unparalleled resource for analysts and decision makers. You'll access this data as a ready-to-use online imagery layer available through ArcGIS Living Atlas of the World.
Extract high-resolution land cover with GeoAI
High-resolution land cover layers are valuable tools for mapping and understanding the environment. They provide detailed information about the different types of land cover—such as vegetation, buildings, water bodies, and roads—at a fine-grained spatial resolution. One approach to creating such layers is to use GeoAI applied to drone imagery, classifying the imagery pixels into their corresponding land cover types. While it is possible to train your own deep learning model for this task, you can also take advantage of a pretrained model provided by ArcGIS Living Atlas of the World.
In this tutorial, focused on the township of Alexandra, South Africa, you'll try out this approach in ArcGIS Online, with the goal of identifying green spaces and computing their overall surface area. Information about green space distribution is crucial for urban planning, resource allocation, and social development initiatives.
Try the Utility Network Migration Wizard
In this tutorial, you'll assume the role of a GIS analyst at a small municipal government tasked with a pilot project to migrate your organization's geometric networks to Utility Network. Your small city has departments that manage data for electric, gas, water, wastewater, and stormwater. This tutorial includes sample data and instructions for migrating each of these five geometric networks, so you can focus on using the dataset that interests you most. You'll use the Utility Network Migration Wizard to create a utility network using an existing geometric network. While you are guided through this process by the wizard, you must understand the basic workings of the network so you can set sources and sinks, set the tier definition for the network, and map source classes to the proper asset types. Once you complete the wizard, your geometric network features will be migrated into a utility network.
Get started with ArcGIS Flight
In this tutorial, you have been assigned to capture high-quality drone imagery of the University of Redlands campus for a future housing construction assessment. The imagery you collect will be used to generate high-fidelity 3D products of the campus and infrastructure, enabling evaluation for new planned developments.
Predict home prices with regression analysis and machine learning
You've created three statistical models that were trained on and tested using real home sales price data in King County, Washington. In this tutorial, you'll use these models to predict the sales prices of homes that have not been sold yet. Then, you'll compare the results to better understand the advantages and disadvantages of each modeling approach.