Projects and Research

WASP Lite, one of LIAS's aerial imaging systems

LIAS Projects and Research

LIAS is involved in several areas of research

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.

A buoy sensor for measuring water conditions

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.
AstroPipeline: LIAS handles data processing for the Spirex-Abu Infrared telescope in Antarctica.

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 also supports research projects by RIT students in imaging-related fields.