Mapping Earthquake Deformation in Taiwan With ENVI

12/15/2025

Unlocking Critical Insights With ENVI® Tools Taiwan sits at the junction of major tectonic plates and regularly experiences powerful earthquakes. Understanding how the ground moves during these events is essential for disaster preparedness, public safety, and building community resilience. But traditional approaches like field... Read More >

Comparing Amplitude and Coherence Time Series With ICEYE US GTR Data and ENVI SARscape

12/3/2025

Large commercial SAR satellite constellations have opened a new era for persistent Earth monitoring, giving analysts the ability to move beyond simple two-image comparisons into robust time series analysis. By acquiring SAR data with near-identical geometry every 24 hours, Ground Track Repeat (GTR) missions minimize geometric decorrelation,... Read More >

Empowering D&I Analysts to Maximize the Value of SAR

12/1/2025

Defense and intelligence (D&I) analysts rely on high-resolution imagery with frequent revisit times to effectively monitor operational areas. While optical imagery is valuable, it faces limitations from cloud cover, smoke, and in some cases, infrequent revisit times. These challenges can hinder timely and accurate data collection and... Read More >

Easily Share Workflows With the Analytics Repository

10/27/2025

With the recent release of ENVI® 6.2 and the Analytics Repository, it’s now easier than ever to create and share image processing workflows across your organization. With that in mind, we wrote this blog to: Introduce the Analytics Repository Describe how you can use ENVI’s interactive workflows to... Read More >

Deploy, Share, Repeat: AI Meets the Analytics Repository

10/13/2025

The upcoming release of ENVI® Deep Learning 4.0 makes it easier than ever to import, deploy, and share AI models, including industry-standard ONNX models, using the integrated Analytics Repository. Whether you're building deep learning models in PyTorch, TensorFlow, or using ENVI’s native model creation tools, ENVI... Read More >

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Using SAR to Map Damage From the Haiti Earthquake

Megan Gallagher Wednesday, August 18, 2021

The Sentinel-1 sensor was used to collect SAR data for DinSAR analysis that was performed with the ENVI® SARscape Analytics Displacement Map workflow. Sentinel-2 Imagery is used as the background images.

A 7.2-magnitude earthquake struck southwestern Haiti on Saturday morning August 14, 2021, leaving at least 1,941 people dead and more than 6,900 injured. Casualties are expected to increase over the week as search and rescue continues. Those efforts are currently being complicated by heavy rains from Tropical Storm Grace and blocked roads in the region due to damaged infrastructure and mudslides.

Remotely sensed data can be a life-saving tool following a natural disaster to understand damage and map routes to deliver aid. However, when bad weather is either the cause or follows the event, getting a clear picture of the situation on the ground is difficult. In those situations, Synthetic Aperture Radar (SAR) sensors which capture data at night and see-through cloud cover, dust and smoke, can provide the information needed.

DinSAR analysis is commonly used after events such as earthquakes and volcanic eruptions to show land movement over time. With the surface changes measured at the meter scale, it’s evident that a tremendous amount of energy was released over a large area causing wide-spread destruction and damage to tens of thousands of homes, buildings and critical infrastructure.

The epicenter of Saturday’s earthquake was about 125 kilometers (78 miles) west of Haiti’s capital, Port-au-Prince. It hit just 11 years after a 7.0 magnitude quake that occurred closer to the densely populated Port-au-Prince, killing an estimated 220,000 to 300,000 people and destroying 100,000 buildings.

Earthquakes in Haiti can be extremely devastating due to it being in a seismically active area with a high population density and buildings designed to hold-up under hurricane-force winds and not earthquakes. Haiti is also prone to mudslides due to its mountainous topography and years of deforestation.

There are two versions of ENVI SARscape to make this data type accessible to everyone, regardless of their knowledge and background. With ENVI SARscape, you can process and analyze SAR data as well as integrate this information with other geospatial products. ENVI SARscape Analytics has straight forward workflows that streamline processing to deliver answers that only SAR data can provide.