Imagery Analysis

Analyze imagery on global and local scales

Observe and analyze our planet to extract answers faster utilizing advanced image analysis at scale, including feature extraction using GeoAI, change detection, and time-series analysis. Perform all of this with a variety of data types such as ortho imagery, motion imagery, lidar, and radar.

Satellite imagery displays terrain data in a red, orange, and blue gradient

Speed up feature extraction using GeoAI


GeoAI applies spatial machine learning and deep learning techniques to help you solve complex problems and derive deeper insights in innovative ways. Use large collections of images and leverage vast computing power to speed up your feature extraction tasks such as finding impervious surfaces, identifying segments, and classifying imagery. Leverage out-of-the-box pretrained deep learning models to jump-start your workflows.

Explore pretrained models
A map of Owensboro, Kentucky along the Ohio River divides features of the area into yellow, green, red, and purple sections

Tools for a variety of workflows


Quickly understand the landscape and relationships by examining pixels within small or massive imagery collections using image analysis. Depending on the size of your data, process analysis on your desktop or scale up with distributed computing in the cloud.

Detect change across two or more images

Change detection is one of the fundamental applications in imagery and remote sensing. It helps you compare two or more raster datasets to determine the type, magnitude, and location of change. Use ArcGIS to analyze change in built and natural environments. Better understand urban growth, habitat loss, and long-term climatological or environmental trends.

Remote sensing data is visualized as layers and clusters of green, yellow, red, orange, and purple

Extract insights over space, time, and more

Scientific data often represents geophysical, environmental, climatological, or atmospheric phenomena that occur over space (two dimensions), time (another dimension), and/or height or depth (two more dimensions). Simplify the analysis of these complex datasets with ArcGIS. Find anomalies, analyze trends over time, and perform predictive analytics to extract actionable insights.

A map of the ocean near South America and Africa features 3D voxel layers in a gradient of pink, red, yellow, green, and blue

Process imagery on the fly

Apply on-the-fly processing directly to the imagery and raster datasets at your specified scale and resolution. This enables you to quickly visualize the results without creating intermediate datasets. You can tweak your parameters to view changes in real time and obtain actionable insights. Access over 150 raster functions that can be chained together to complete your workflow in a single step.

Four panels show an image in different colorways, indicating multiple ways to interpret and visualize remote sensing data

Analyze data at a global scale

Raster analytics is a powerful technology that takes your analysis to the next level. It enables rich processing that is massively extensible and scalable. Large processing and analysis jobs are split to enable efficient use of parallel computing and distributed storage. It is designed to work on your hardware and on the cloud—what used to take hours can now be done in a matter of minutes.

A world map with a slider displaying two different overlays for the eastern and western hemispheres

Esri solutions for image analysis

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Need help finding the right solution?


Schedule a conversation with one of our experienced sales consultants. Tell us how you're using imagery and remote sensing data now, and we'll show you where a comprehensive geospatial system can take your work next.