Data Fusion

Whether you are working with panchromatic, multispectral or hyperspectral images, each type offers unique information to support your efforts to predict, prepare and respond to natural disasters. However, the real power of these data types is tapped when fusing two or more of them together to assess post-event damage, on-the-ground conditions, ideal transportation routes, and identify safe staging areas for rescue efforts.

LiDAR & SAR Support

Create models of damaged buildings, roads, trees, and power lines, or land shift from your LiDAR and SAR data to identify post-event terrain conditions.

Landcover Analysis

Ingest and overlay shape files for ground truth on impervious surfaces. ENVI also supports confusion matrices to show the accuracy of a classification result by comparing a classification result with ground truth information.

Vegetation Indices

Create maps using burn difference indices to determine the extent of damage from forest fire or use the flood index to determine flood damage.

Feature Detection

Look for statistical and spectral anomalies to find items or persons that may be missing after a natural disaster such as a tornado, hurricane or a flood.

Features Extraction

Use automated tools to extract features and update your GIS with current information such as location of damaged buildings and roadways, population centers or forest density from a variety of data including LiDAR, SAR, panchromatic, multispectral, and hyperspectral imagery.

Change Detection

Detect change by comparing two images from two different times to monitor changes to the landscape resulting from natural disasters such as flooding, earthquakes, landslides or volcanic eruptions. The results can include maps of detected changes and reports showing the area and percentage of detected change.

Lines of communication

Determine whether lines of communication are impacted after an event,(e.g. has a landslide made a waterway or road impassable), to establish the best routes for getting disaster relief supplies to stricken areas.

Terrain Analysis

Use terrain analysis tools to model flood zones, predict wildfire behavior, mud or snow slide potential, or other impacts of natural disasters.

Lidar Tools

Use LiDAR data to extract features and create 3D models of damaged buildings, roads, trees, power lines and other features. Results are easily exported for further analysis or inclusion in GIS mapping applications.

ArcGIS® Integration

ENVI Products integrate with ArcGIS® from Esri, allowing you to add more information than ever before to your GIS for more powerful geospatial products. With access to ENVI image analysis tools directly from the ArcGIS desktop and server environments you can increase efficiency and improve the decision-making process.

ArcToolbox™ for Desktop

ENVI tools are available directly within the ArcToolbox™, letting you easily add analysis capabilities to your new and existing GIS models and applications. ENVI image analysis tools are easy to learn and use, so you can create maps and other geospatial products for better and more informed decisions about habitat, conservation and more.

ENVI for ArcGIS® Server

ENVI for ArcGIS® Server delivers advanced ENVI image analysis tools to the ArcGIS Server environment so users across the enterprise can effectively add information from imagery to their GIS. Results from ENVI can also be sent to a geodatabase, or pushed directly into ArcMap™for further vector analysis or integration into workloads.