Imagery and Remote Sensing Insights (IRIS) COP Blog - Page 2

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Synthethic Aperture Radar, or SAR for short, has a reputation for being an unintuitive, complex, and a niche Earth observation technology that is only used by researchers. While this may be true to an extent, SAR data allows analysts to monitor remote environments persistently that would be otherwise impossible through optical satellite sensors. This is extremely important and valuable in places such as the Amazon Rainforest or Alaska, where traditional optical satellites are obstructed by constant cloud coverage.

Special offer this week only for ArcGIS Drone2Map!

We're excited to introduce ArcGIS Video Server, a new server role for ArcGIS Enterprise that enables indexing, searching, publishing, and streaming video as a service with geospatial and temporal context.

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. 

Explore new content on the ArcGIS Imagery Workflows website, which provides a jumping off point for accomplishing imagery tasks using ArcGIS.

Understand proper standards for reporting the accuracy of your deliverable products. 

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?

Download the technical paper

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.