Welcome to the GIS Lab in IESA UNG
The GIS Lab is Dr. Huidae Cho's research group in IESA. Our research focuses around the broad applications of Geographic Information Systems (GIS) and computational methods to geospatial analysis, modeling, and engineering. We use this wiki site to share project information and document our research for internal collaboration. Most of pages related to ongoing projects will be hidden from the public, but we will disseminate research findings and outcomes once the project is completed. Find the conferences where you can meet us.
Please also check these 2021 academic opportunities.
Current projects
Projects on hold
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Idea proposed by
Huidae Cho, but put on hold because of a lack of budget
Past projects
Software
Manuscripts in preparation
Owen Smith, Huidae Cho.
An Open-Source Canopy Classification System Using Machine-Learning Techniques Within a Python Framework. Environmental Modelling & Software. SCIE, 2019 Impact Factor 4.807.
Huidae Cho, Owen Smith.
Quantifying Decade Canopy Change for the State of Georgia Utilizing NAIP Imagery from 2009–2019. Forestry. SCIE, 2019 Impact Factor 2.293 (too low, maybe
a remote sensing journal?).
Manuscripts under review
Aboalhasan Fathabadi, Huidae Cho, Seyed Morteza Seyedian, Bahram Choubin.
Comparison of Bayesian Model Averaging and GLUE Weighting Methods for Uncertainty Estimation in Hydrologic Modeling. Journal of Hydrology. SCIE, 2019 Impact Factor 4.500.
Recent publications
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Huidae Cho, Jeongha Park, Dongkyun Kim, March 2019.
Evaluation of Four GLUE Likelihood Measures and Behavior of Large Parameter Samples in ISPSO-GLUE for TOPMODEL. Water 11 (3), 447.
doi:10.3390/w11030447. SCIE, 2019 Impact Factor 2.544.
Huidae Cho, Tien M. Yee, Joonghyeok Heo, October 2018.
Automated Floodway Determination Using Particle Swarm Optimization. Water 10 (10), 1420.
doi:10.3390/w10101420. SCIE, 2019 Impact Factor 2.544.
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Recent presentations
Huidae Cho, Aboalhasan Fathabadi, Seyed Morteza Seyedian, Bahram Choubin, March 22–23, 2021. Uncertainty Estimation in Hydrologic Modeling Using Bayesian Model Averaging Within the GLUE Framework. 2021 Georgia Water Resources Conference (GWRC). Online.
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Huidae Cho, April 16, 2019. Revisiting the Longest Flow Path Algorithm. 2019 Georgia Water Resources Conference (GWRC). University of Georgia. Athens, GA.
Other resources