ERI: Airborne Visual-Olfactory Remote Sensing System for Early Wildfire Detection — NSF Award to Louisiana Tech University (LA, $1
This Engineering Research Initiation (ERI) award supports research to develop an early wildfire detection system using autonomous unmanned aircraft systems (UASs) to provide a low-cost, flexible, and timely solution for identifying wildfires at their earliest stages. As wildfires become increasingly frequent and destru
| Award title | ERI: Airborne Visual-Olfactory Remote Sensing System for Early Wildfire Detection |
|---|---|
| Award ID | 2502074 |
| Awardee | Louisiana Tech University |
| City | RUSTON |
| State | LA |
| Amount obligated | $194,376 |
| Principal investigator | Lingxiao Wang |
| Program | FRR-Foundationl Rsrch Robotics |
| Start date | 08/15/2025 |
| Abstract | This Engineering Research Initiation (ERI) award supports research to develop an early wildfire detection system using autonomous unmanned aircraft systems (UASs) to provide a low-cost, flexible, and timely solution for identifying wildfires at their earliest stages. As wildfires become increasingly frequent and destructive across the United States, there is a critical need for detection methods that can identify fires before they grow out of control. Traditional approaches, such as satellite mo |
| Source | NSF Awards |
$799/mo
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