Synthetic Aperture Radar (SAR) data enables new and exciting monitoring and temporal opportunities. To take advantage of this, we need to advance how we process and analyze the data. This webinar demonstrates how ENVI SARscape Analytics can be paired with ENVI Server to speed up processing, analysis, and results.

Want to know how can you use Synthetic Aperture Radar (SAR) data to map and measure the land surface or infrastructure deformations caused by human activities or by naturally occurring earthquakes, land subsidence and landslides? Want to know how to choose the best approach to apply to SAR data by considering the type of deformation, its spatial and temporal mechanisms, and land-cover characteristics?

Synthetic Aperture Radar (SAR) data contains a wealth of information, but it is not easy to visually interpret. However, there are processing and analysis techniques that you can use to quickly and accurately extract actionable intelligence. Some of these techniques include amplitude and coherent change detection, time series analysis, advanced differential interferometry, ship and automated target detection, and moving target detection. The ability for SAR data to be captured day or night and see through clouds, means that these techniques can provide intelligence that is often impossible to obtain with optical data.

The proliferation in the availability of remotely sensed data creates challenges and opportunities for organizations charged on protecting our national security worldwide. Questions have only grown as the number and complexity of sensors advanced, with Synthetic Aperture Radar (SAR) and Hyperspectral Imaging as the two leading examples. These sensors allow to derive rapid, actionable intelligence in a way that would be difficult or impossible to obtain from other sensors.

The new ENVI SARscape 5.6 release is packed with a variety of exciting new features and improvements.

Watch this recorded webinar to learn more about new key features, additional data format support, and general improvements that include:

• Data Import: COSMO-SkyMed Second Generation, Capella Space, RADARSAT Constellation Mission - C-Band, SICD Polar Format Algorithm, Sentinel-2 Download and Sentinel MultiDownload
• Drag and drop User Interface
• Feature Extraction: Ship Statistics
• Intensity Processing: Geocoding Layover and Shadow Mask
• Non-Local Phase Filtering
• Interferometric Stacking: Continuous Tomography
• Polarimetry: Dual Polarimetric Entropy Alpha Anisotropy Decomposition
• DEM Extraction: GMTED-2010 and TDM 90 (World DEM TanDEM-X)
• Data Export: EnviSeries to NetCDF Conversion
• Processing in the background: SARscape ENVI Server support

Download presentation slides here.

Panel Discussion from Spectral Sessions 2021