Discover Synthetic Aperture Radar (SAR) Imagery and Remote Sensing capabilities at Esri and find resources describing how to process and analyze SAR satellite imagery in ArcGIS Pro with the Image Analyst extension.
The number of satellites orbiting Earth is growing rapidly; many are used to observe our planet.And satellites are just one way to obtain geospatial imagery—there are also drones, planes, and terrestrial sensors capturing more imagery data each day.
Whether you’re a public works department looking to track assets or a governmental organization trying to keep abreast of natural disasters, as your imagery data continues to climb in volume, you might be asking yourself how you or your organization can manage it all while still being able to process your data, perform analyses, and share your findings with stakeholders. Why not have the flexibility to do it all in one place?
This is where a comprehensive imagery system comes in. Learn how ArcGIS can be leveraged from end-to-end to meet all your imagery needs. Interested?
Ever wonder the impact of extreme weather on crop production? Check out our new learn lesson to help you perform a damage assessment based on imagery captured before and after a hailstorm. Using ArcGIS Image for ArcGIS Online, you can visually explore the extent of crop loss and subsequently the impact for seasonal production. Access the learn lesson here: https://learn.arcgis.com/en/projects/assess-hail-damage-in-cornfields/arcgis-online/
Imagery in Action is Esri's newest no-cost massive open online course. Join the course to explore authentic workflows used to gain insight and create decision-support products from imagery and remotely sensed data.
Due to several requests for how best to create an nDSM from given digital surface model (DSM) and digital terrain model (DTM) data, I decided to write this blog article [in previous GeoNet] for use as a future reference - and re-publish here in the community today. The article will assume that you organize your elevation data using mosaic datasets (MD) and raster functions for visualization/analysis.