G-ECO Remote Sensing Lab
Students in G-ECO lab use field, airborne, satellite, and UAS/UAV (unmanned aerial vehicle, a.k.a. drone) data to address environmental, geographical, biological and geological issues. Different remote sensing software are used to convert reflectance measurements to properties of vegetation, water, soil and rocks. The students use eBee drone.
Students gain knowledge and experience in both field data collection and computer lab research. Graduate and undergraduate students in G-ECO lab monitor status of forest, crops, rocks, water (e.g. Lake Erie) sediments and algal blooms, carbon budget, land use changes, and many other natural and human-induces phenomena.
THE GREAT LAKES - GREAT WATER FOR GREAT PEOPLE ! G-ECO !
Students collaborate with NASA, Ohio Department of Natural Resources (ODNR), Michigan State University, University of Toronto. They are members of Rapidlasso (LiDAR), BEPS, and LTER groups. Students use various airborne, satellite and UAS/UAV data such as Landsat, NASA Glenn HSI (hyperspectral) data, Sentinel, MODIS, and eBee UAV data.
Under the program SPatial LITeracy - SPLIT Remote Sensing Dr. Simic organizes international summer schools. This intensive and advanced 6-day learning program is the best insights into recent remote sensing techniques learned from top international professors and researchers through hands-on sessions and lectures.