What's new in ArcGIS tutorials July 2024
Choose candidate areas for a convenience store
A regional convenience store chain seeks to expand its network by opening a new store. There are many variables and considerations that go into determining where to open a store, but you've settled on three: distance from competitor stores, the consumption habits of the nearby population, and proximity to major roads.
In this tutorial, you'll use ArcGIS Business Analyst Web App to find candidate locations for the new store. Using points of interest search, suitability analysis, and historical traffic data, you'll consider all three criteria within your area of interest.
Derive products from satellite imagery with ArcGIS Reality for ArcGIS Pro
As a remote sensing specialist working with the City of San Diego, you have been tasked with generating Reality mapping products—a digital surface model (DSM), a True Ortho, and an integrated DSM mesh—from high resolution satellite imagery to support an upcoming harbor expansion project. The input data comprises multiple overlapping high-resolution multispectral images captured by Maxar's WorldView-3 and WorldView-2 satellite sensors. To process these images and derive high quality Reality mapping products, you'll use ArcGIS Reality for ArcGIS Pro.
In this tutorial, you'll download the input data and create a workspace to manage it. You'll then improve the image alignment using tie points and other photogrammetric processes. Finally, you'll generate a high-resolution DSM, a True Ortho, and an integrated DSM mesh from the aligned images. While this workflow will be performed at a small extent for brevity, ArcGIS Reality for ArcGIS Pro is routinely used to process much larger extents, such as the DSM mesh displayed in this example 3D scene.
Explore an urban model
The City of Fullerton, California, is planning an update to its general plan. California state law requires that general plans address land use, circulation, housing, open space, conservation, safety, and noise. A city may include additional elements based on the topics important to the city. In this tutorial, you'll review the proposed Rail District Specific Plan that city planners have built in ArcGIS Urban to give feedback. You'll also explore several other building projects around the city using analysis tool including shadow and line of sight analysis to better understand how the community landscape might change.
Manage and communicate emergency information
Emergencies—such as floods, fires, earthquakes, and storms—present recurring challenges to communities around the world. Sharing a common operational picture allows organizations to respond quickly and effectively, tracking impacts and coordinating and allocating resources. In this tutorial, you will take the role of an emergency manager in Bay St. Louis, Mississippi, responding to flooding. You will install and configure the Emergency Management Operations Solution and use it to share data with other responders and the community.
Map floods with SAR data and deep learning
Flooding is one of the most frequent and costly types of natural disasters. Flood mapping is traditionally performed using local aerial observations or ground surveys. However, when flooding is widespread, these methods become prohibitively expensive and time-consuming. Moreover, aerial observation can be challenging or impossible due to obstructive weather conditions. During flooding events, thick clouds can also prevent the use of optical satellite imagery for visualization and analysis. In such cases, synthetic aperture radar (SAR) satellite imagery is valuable, since it can penetrate through clouds and hazy atmospheric conditions, allowing continuous observation and mapping of floods.
In the Spring of 2019, severe flooding, referred to as the Great Flood of 2019, impacted 14 million people across multiple states in the Midwest of the United States. The St. Louis, Missouri, region experienced significant flooding. In this tutorial, as an image analyst for the disaster management regional agency, you are tasked with mapping the flood using a pretrained deep learning model and Sentinel-1 SAR imagery in ArcGIS Pro.
Prepare an indicator layer for an equity index
Local, state, and federal governments aim to understand their community, either through listening sessions or community meetings, and even by working across departments to build indices. An index is often used to inform decision-making but, more importantly, help leaders and communities understand the current conditions.
In this tutorial, your organization wants to build an index to help the community measure equity and identify areas for improvement. You are tasked with developing a set of indicators to identify which areas of the city are experiencing cumulative burdens.
Set up data to expand an ATM network
A bank wants to expand its ATM network. It plans to use ArcGIS Business Analyst Web App to analyze potential ATM locations based on attributes such as visibility, distance from the street, and the number of nearby parking spaces. However, sites in a default Business Analyst project don't have these attributes.
In this tutorial, you'll create a project with custom site attributes to suit the bank's needs. Then, you'll create sites for candidate ATM locations and existing ATM locations that include these attributes. When you complete this tutorial, your project will be set up for on-site data collection and analysis.