Esri Tutorials Spotlight: Image Analysis
ArcGIS offers a comprehensive collection of tools and capabilities to perform image analysis including classification, change detection, time-series analysis and feature extraction using geospatial artificial intelligence (GeoAI). You can perform analysis on data from various resources such as from satellites, aerial sources, drones, and various modalities like multispectral, LiDAR, and Radar.
Conducting image analysis is a valuable skillset that can elevate your projects and open doors to new career pathways.Below are five hands-on tutorials designed to help you get started and build confidence working with imagery in ArcGIS.
These tutorials offer a hands-on way to explore image analysis in ArcGIS. As a student, investing time in these skills not only strengthens your academic projects but also prepares you for careers in fields like environmental science, urban planning, agriculture, and remote sensing.
Get Started with Imagery
If you're new to image analysis, this is the perfect place to begin. In this tutorial, you'll explore Landsat imagery with the Esri Landsat Explorer web app and learn essential concepts about multispectral imagery. You'll monitor vegetation in the Sundarbans mangrove forest, visualize the growth of a city in China, inspect an oasis in Egypt, delineate flooded areas in Chad, and more. When you finish, you'll have a better understanding of the vast applications of multispectral imagery and be ready to explore the world on your own.
Assess Hail Damage in Cornfields with Satellite Imagery
Step into the role of an analyst supporting agriculture by using satellite imagery to assess crop damage after a hailstorm. In this tutorial, as an imagery analyst for a local farmer organization, you'll perform a first damage assessment, using ArcGIS Pro. You'll explore multispectral imagery captured before and after the hailstorm. Then, you'll perform change analysis, applying a vegetation index to both images, computing the difference between the two, and extracting the average loss of healthy vegetation per field.
Calculate impervious surfaces from spectral imagery
Urban environments are constantly changing. Ground surfaces that are impenetrable to water can cause serious environmental problems, including flooding and contaminated runoff. Because impervious surfaces are such a danger, many governments, like the City of Louisville, Kentucky, charge landowners who have high amounts of impervious surfaces on their properties. In this tutorial, you’ll analyze spectral imagery to map impervious surfaces like roads, rooftops, and parking lots, using a supervised object classification approach.
Extract High-Resolution Land Cover with GeoAI
High-resolution land cover layers are valuable tools for mapping and understanding the environment. One approach to creating such layers is to use GeoAI applied to drone imagery, classifying the imagery pixels into their corresponding land cover types. In this tutorial, focused on the Township of Alexandra, South Africa, you'll try out this approach in ArcGIS Pro, with the goal of identifying green spaces and computing their overall surface area.
Monitor Forest Change Over Time
Forests are an important natural resource that provides wood products, wildlife habitat, clean water and air, carbon sequestering, recreational opportunities, and more. Monitoring forest disturbances, such as tree logging activities, forest fire, and pest infestation is an important task for forest management. In this tutorial, as a GIS analyst for the Oregon Department of Forestry, you'll use tools based on the LandTrendr algorithm (Landsat-based detection of Trends in Disturbance and Recovery) to better understand the spatial and temporal patterns of timber harvest and detect other potential disturbances.
Esri Tutorials Spotlight Blog Series
Here is a list of the previously published Esri Tutorials Spotlight blog posts: