CCSS: Physics-informed Radar Backscatter Modeling for Through-Canopy Forest Remote Sensing — NSF Award to University of Illinois a
Understanding the forest understory is essential for effective forest management, biodiversity conservation, wildfire prevention, and environmental monitoring. However, traditional satellite and aerial remote sensing technologies are fundamentally limited in their ability to observe vegetation beneath the forest canopy
| Award title | CCSS: Physics-informed Radar Backscatter Modeling for Through-Canopy Forest Remote Sensing |
|---|---|
| Award ID | 2434387 |
| Awardee | University of Illinois at Urbana-Champaign |
| City | URBANA |
| State | IL |
| Amount obligated | $300,000 |
| Principal investigator | Elahe Soltanaghai |
| Program | CCSS-Comms Circuits & Sens Sys |
| Start date | 09/01/2025 |
| Abstract | Understanding the forest understory is essential for effective forest management, biodiversity conservation, wildfire prevention, and environmental monitoring. However, traditional satellite and aerial remote sensing technologies are fundamentally limited in their ability to observe vegetation beneath the forest canopy due to occlusion and signal attenuation. As a result, critical indicators of ecosystem health, such as aboveground biomass carbon pools, combustible understory fuel loads, and oth |
| Source | NSF Awards |
$799/mo
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