Ready-to-use pretrained deep learning models
Eliminate the need for huge volumes of training data, massive computing resources, and extensive artificial intelligence (AI) knowledge.
Featured resources
-
-
Imagery in Action MOOC
This course is for anyone ready to learn—or learn more—about the many uses and types of imagery and the growing integration of imagery with GIS. -
An easier way to work with imagery
Step through an end-to-end demonstration showing how to make decisions with up-to-date GIS data created from aerial, elevation, and lidar data.
Previous
Next
Other resources
- Content
- Management
- Reality Mapping
- Analysis and AI
- Visualisation and Exploitation
Case studies
-
Imagery gives insurance companies a clear picture
Learn how insurers are taking to the air and converting aerial imagery into location intelligence to quickly make clients whole again. -
The eye after the hurricane
Gain a clear view of reality fast with ArcGIS. Imagery is processed and served in minutes, not days. -
United Stated Census Bureau: Address canvassing
Learn how the US Census Bureau used GIS and imagery to complete in-office address canvassing for the 2020 Census.
Previous
Next
Practical learning
Previous
Next
Case studies
-
Land-use monitoring
A startup geospatial technology firm employs an imagery-streaming and -hosting solution for land-use monitoring and detection. -
Centralising imagery citywide
The City of Yakima shifts city imagery to the cloud to make it easily accessible across departments and to the public. -
Metropolitan transit
The San Diego Metropolitan Transit System uses lidar technology to capture data and ArcGIS to manage datasets. -
National digital twin
In 2021, Grenada became the first country to make a digital copy of itself, a 3D model government officials can use for sustainability plans.
Previous
Next
Practical learning
Previous
Next
Case studies
-
Airport construction
Short Elliott Hendrickson Inc. enhanced airport runway construction efforts with drone mapping software and high-resolution imagery. -
Wildfire response
GeoAcuity supports wildfire response efforts with drone imagery and geospatial data. -
Trash monitoring
The San Francisco Estuary Institute improved trash monitoring in California with drone imagery, artificial intelligence, and mapping software.
Previous
Next
Practical learning
Previous
Next
Case studies
-
USDA Forest Service: Conservation
Learn how USDA Forest Service is developing the next generation of data products to inform policy and management decisions for natural resources. -
USAA: Catastrophe Response
Learn how the USAA deploys remote sensing solutions to help members get back on their feet quicker, even before fire embers are extinguished. -
African Parks: Protected Area Management
Learn how African Parks uses aerial imagery to understand wildlife movements and various threats to predict where poachers may strike next.
Previous
Next
Practical learning
Previous
Next
Practical learning
Previous
Next
Explore ArcGIS imagery workflows
Not sure where to start with imagery?
The imagery workflows site provides a starting point for accomplishing common imagery tasks using ArcGIS. Gain practical skills for tasks like managing drone imagery, managing scanned maps, performing site suitability analysis, using deep learning for object detection, and much more.
We're constantly adding workflows, so keep an eye on the gallery for new resources.
