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Online training: Learn how to add easy-to-use SAR processing to your remote sensing applications

By GeoConnexion - 8th June 2020 - 15:19

The use of Synthetic Aperture Radar (SAR) data has become increasingly popular in recent years due to its many advantages such as its ability to capture data day or night and see through clouds.

However, SAR data can be extremely complex and difficult to work with. ENVI® SARscape® has made the benefits of SAR data available to professionals across industries for many years. And now it’s gotten even easier!

ENVI now includes easy-to-use tools for some of the most common SAR processing applications – extending the benefits of SAR data to more users. These tools, ENVI SARscape Analytics, can be accessed in the ENVI toolbox and ENVI Modeler as well as ArcGIS Pro, and do not require you to be an expert in SAR to run them!


Dr. Thomas Bahr - Lead, Sales Engineering

Learn how you can use the most common analytics to support your Earth Observation applications with meaningful SAR products by attending a 2-part training session over 2 consecutive days (choice of mornings or afternoons). You will learn for example: how to detect ships, monitor flooding and forest fires, reveal oil smuggling routes, control hydroelectric dam integrity or create DEMs with SAR data.

Morning Track*

June 24, 10:00 AM to 1:30 PM CEST and June 25, 10:30 AM to 1:30 PM CEST


Afternoon Track*

June 24, 2:30 PM to 6:00 PM CEST and June 25, 2:30 PM to 6:00 PM CEST


We encourage you to attend this training even if only one of the built-in automated workflows meets your interest as it will guide you through ENVI SARscape Analytics, addressing different approaches and techniques such as backscatter coefficient analysis, coherence, interferometric and differential interferometric techniques, and multi-temporal analysis.

Analytics. Insights. Answers you can trust.

Read More: Data Capture Satellite Positioning, Navigation & Timing (PNT) GIS Terrestrial Mapping Land Information Systems Defence Forestry Management Oil & Gas Forestry Disaster Modelling

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