G-ECO Remote Sensing Lab

Anita Simic Milas is an associate professor at Bowling Green State University. Simic Milas received her M.Sc. and Ph.D. degrees in remote sensing from the University of Toronto. She was a session/senior lecturer at the University of Toronto, Ryerson University, and the University of Victoria in Canada, and Wuhan University in China. Simic Milas worked in environmental engineering field and as a scientist at the Canada Centre for Remote Sensing for several years. She is the founder of the SPatial LITeracy - SPLIT Remote Sensing, an international educational program for early career professionals and graduate students. 

Her research is related to remote sensing applications in vegetation science (forest and agriculture), hydrology and water quality with expertise in applications of optical remote sensing including satellite and airborne / drone data. Simic Milas is actively involved with AmericaView, and she is the Editor of the Drones section of IJRS since 2018.  

Employers of students under supervision of Prof. Simic Milas:

University of Michigan
ORNL, Department of Energy, Tennessee
University of Calgary, Canada
Equifax, St. Louis
BGSU, Bowling Green
Conservation Legacy, Pennsylvania
Ohio State University
Satelytics, Toledo
Ceres Imaging, California
Woolpert, Dayton
U.S. Geological Survey, Kentucky
Bayer – Monsanto, Missouri

Graduate students under supervision of Prof. Anita Simic Milas commonly find employment in the fields of remote sensing or data sceince within 2-3 months after they complete their graduate program.  

Graduate and undergraduate students use field, satellite, and airborne/UAV (unmanned aerial vehicle, a.k.a. drone) data to address environmental, geographical, biological and geological issues. 


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. 



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/UAS/UAV, and satellite data such as Landsat, NASA Glenn HSI (hyperspectral) data, Sentinel, MODIS.   

Under the program SPatial LITeracy - SPLIT Remote Sensing  prof. Simic Milas 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. For more information see the website: https://splitremotesensing.com/.

In 2022, the US-based SPatial LITeracy - SPLIT Geoscience program has been funded by NSF. For more information see the website: https://splitgeoscience.com/.

Updated: 08/20/2022 08:54PM