Projects: Sensors - Algorithms - Applications

WASP Lite: One of LIAS's aerial imaging systems

Wildfire Airborne Sensor Program (WASP): WASP is an aerial camera system designed for visible and thermal observations of wildfires from up to 12,000 feet in the air
WASP Lite: WASP Lite is a lightweight version of WASP configurable for many different applications
Modular Imaging Spectrometer Instrument (MISI): MISI is a line-scanning aerial sensor for imaging targets in a large number of visible and thermal spectral bands
GSI DGX-M: DGX-M is a georeferenced camera system developed by LIAS and GeoSpatial Systems. Inc.
Light Detection and Ranging (LiDAR): LiDAR is a growing field of imaging research with many potential applications. LIAS is working with LiDAR datasets to develop state of the art processing algorithms to help environmental studies and disaster response.

Fire research: Dr. Robert Kremens taking part in forest fire behavior research

Wildfire Research: LIAS is conducting research on wildland fire behavior with the USDA Forest Service.
Networked Sensor Systems: LIAS designs, builds, and deploys sensors and data logging systems for measuring and reporting in environments like lakes and forest fires.

Stratospheric Observatory for Infrared Astronomy (SOFIA): LIAS created the Data Cycle System software to handle image acquisition and processing tasks for NASA's SOFIA infrared telescope.

In-situ sensor systems: A buoy sensor for measuring water conditions

Information Products Laboratory for Emergency Response (IPLER): IPLER is an NSF-sponsored project to improve communication between remote sensing data producers and emergency response and disaster management teams.
The Rochester Airborne Imagery Database for Education and Research (RAIDER): RAIDER is a new project being developed by LIAS through a NASA science grant to make aerial imaging data products available over the internet to researchers
Data Process Management Architecture (DPMA): DPMA, a project developed for the Air Force Office of Scientific Research, is a software framework for processing information collected from sensor systems

LIAS actively supports image science research projects by RIT students and is engaged in co-supervision of graduate students at other institutions.

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