© 2025 SAR Insights. All content is copyright protected. Use is prohibited without prior written authorization. All rights reserved.
A Synthetic Aperture Radar (SAR) system is an active remote sensing technology that produces high-resolution images of Earth regardless of weather or time of day.
Simple Definition: SAR is a space-based radar that acts like a flashlight and microphone.
1️⃣ Active: It transmits its own microwave energy through clouds and listens for the echoes (backscatter) that bounce off the surface.
2️⃣ Synthetic Aperture: Because a physical antenna large enough for high-resolution imaging is impossible to put in orbit, the satellite moves at high speed and digitally combines thousands of recorded echoes. This process synthesizes the data as if it came from a giant virtual antenna.
3️⃣ Output: The image shows a map of surface properties like texture, geometry, and moisture. It is key for disaster response, monitoring ground movement (InSAR), and seeing through atmospheric conditions.
The APS is the “noise” created by changes in the air, which makes the ground look like it moved when it really hasn't.
1️⃣ The Problem: InSAR measures ground movement by timing radar signals. However, the signal's speed changes as it passes through the atmosphere, especially due to water vapor (humidity).
2️⃣ The Error: If the air is slightly wetter or drier between the two times the satellite takes a picture, the radar signal is slowed down or sped up, creating a "ghost image" of movement that can be as large as the real movement you are trying to measure.
3️⃣ The Solution (Correction): Scientists use special techniques, sometimes involving weather models or advanced filtering (like U-TAE might be), to digitally remove this APS "noise", leaving only the real ground movement behind.
SAR Insights transforms Amazonia surveillance by eliminating cloud obscuration.
Optical systems fail 70% of the time in Madre de Dios. Our system uses SAR Radar (Sentinel-1) to ensure 24/7 monitoring, detecting threats regardless of the weather.
The CuSum/U-TAE model identifies Subtle Degradation (selective logging) in its earliest stages. This generates the earliest possible Early Warning, giving authorities a critical window to intervene.
By providing a reliable Degradation Map with a high IoU, we maximize patrol efficiency, stopping deforestation before it begins.