After a disaster, every second counts. Immediate, effective response is paramount to reducing injuries and saving lives, preventing property loss and mitigating further damage. Top priorities for disaster response organizations include: rapid assessment of damage extent, minimizing time lag to first responder deployment to hardest-hit areas and tasking of resources in recovery efforts based on damage location and severity. Following both anthropogenic and natural disasters; Satellite, Aerial, and UAV imagery provide a timely and critical resource to better understand the situation on the ground.

VADM (Ret.) Robert Murrett (Syracuse University) moderates this panel from the 2020 ENVI Analytics Symposium (EAS) focused on the future of geospatial and what we might see within the next decade. Panelists: Frank Avila (NGA) Sarah Becker (Army Geospatial Research Lab) Jennifer Marcus (Planet) Vasit Sagan (Saint Louis University)

See how ENVI Deep Learning can be used with SAR data.

​​A section of highway recently collapsed in Colorado resulting in major traffic delays and tens of millions of dollars spent to fix the problem. Synthetic Aperture Radar (SAR) data and ENVI SARscape was used to monitor subsidence that occurred in the area.

Watch this webinar for an in-depth overview of ENVI Server and how it can be used to manage and run processing for on-premises and enterprise applications. 

A deep level of integration allows running the advanced image analysis processing tools of ENVI and SARscape directly from prebuilt toolboxes within the familiar ArcGIS interface.