Huidae Cho

Huidae Cho
University of North Georgia | UNG · Lewis F. Rogers Institute for Environmental and Spatial Analysis

Ph.D.
Looking for an exciting opportunity

About

67
Publications
7,754
Reads
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432
Citations
Introduction
Huidae Cho (/hidɛ t͡ɕo/, 조희대, 曺喜大) is a researcher with expertise in water resources and environmental modeling, computer model optimization, and uncertainty analysis. He is also a senior GIS developer and GRASS GIS developer.
Additional affiliations
August 2018 - November 2020
University of North Georgia
Position
  • Professor (Assistant)
Description
  • * ENST 2030 - Environmental Studies & Sustainability * ENVS 2111K - Environmental Science I * GEOG 1111K - Introduction to Physical Geography * GISC 2011/L - Geographic Information Science * GISC 3200K - Programming for Geospatial Science & Technology * GISC 4360K - Digital Image Processing * GISC 4500K - Application Development * GISC 4800K - Geospatial Intelligence (Co-lecturer) * GISC 4903 - Special Topics in GIS * GISC 5200K - Programming for Geospatial Science & Technology (Graduate Level)
September 2017 - July 2018
MapAnything
Position
  • Senior Geospatial Developer
January 2015 - May 2018
Kennesaw State University
Position
  • Professor (Assistant)
Description
  • * CE 4703 - Engineering Hydrology (Guest Lecturer) * CE 6303 - Water Resources Management (Graduate Level, Guest Lecturer) * ENGR 3343 - Fluid Mechanics * ENGR 3345 - Fluid Mechanics Laboratory
Education
August 2003 - August 2008
Texas A&M University
Field of study
  • Water Resources Engineering

Publications

Publications (67)
Presentation
I introduce a new open-source geospatial project called ProjPicker (Projection Picker). ProjPicker is a Python module that allows the user to select all coordinate reference systems (CRSs) whose extent completely contains given points, polygons, and bounding boxes using set-theoretic logical operators in a postfix notation. The goal of this project...
Article
Full-text available
Physically-based or process-based hydrologic models play a critical role in hydrologic forecasting [...]
Presentation
Full-text available
Recent advances in remote sensing technologies have enabled water resources modelers to create improved computer models for streamflow forecasting under hypothetical weather scenarios under climate change. However, estimating physically-based model parameters for future conditions still remains challenging. In this case, machine learning can fill t...
Conference Paper
Recent advances in remote sensing technologies have enabled water resources modelers to create improved computer models for streamflow forecasting under hypothetical weather scenarios under climate change. However, estimating physically-based model parameters for future conditions still remains challenging. In this case, machine learning can fill t...
Presentation
Forested areas play an integral role in the maintenance of both local and global environments. They are the bulk of Earth’s carbon sequestration for mitigating anthropogenic processes, provide natural erosion and runoff control for flooding events which have been growing in frequency because of climate change, and can offer respite for urban heat i...
Presentation
https://wenzeslaus.github.io/grass-gis-talks/foss4g2021.html GRASS GIS is a well established, all-in-one geospatial number cruncher with Python interface, command line, and GUI. This talk will give an overview of new additions and highlight latest updates in version 7.8 and new major version 8.0. Major updates in 7.8 include Python 3 support, tran...
Presentation
This workshop will introduce r.topmodel (Cho 2000), the GRASS GIS module for a physically-based hydrologic model called TOPMODEL (Beven 1984). r.topmodel is a C implementation of the original FORTRAN code by Beven and tightly integrated with GRASS GIS. We will discuss step-by-step instructions for preparing input data for r.topmodel, running it, ca...
Presentation
https://veroandreo.github.io/grass-gis-talks/wageningen2021.html
Conference Paper
Full-text available
Studying deforestation has been an important topic in forestry research. Especially, canopy classification using remotely sensed data plays an essential role in monitoring tree canopy on a large scale. As remote sensing technologies advance, the quality and resolution of satellite imagery have significantly improved. Oftentimes, leveraging high-res...
Technical Report
Submitted to the Georgia Forestry Commission as Partial Fulfillment of Georgia Statewide Canopy Assessment Phase 2: Canopy Change Analysis 2009–2019.
Presentation
The longest flow path is one of the most important geospatial parameters that is used for hydrologic analysis and modeling. However, there are not many available GIS tools that can compute this watershed parameter. At the same time, there have been almost little to no efforts in improving its computational efficiency since its first, to the present...
Technical Report
Submitted to the Georgia Forestry Commission as Partial Fulfillment of Georgia Statewide Canopy Assessment Phase 1.5: Canopy Analysis 2019.
Technical Report
Submitted to the Georgia Forestry Commission as Partial Fulfillment of Georgia Statewide Canopy Assessment Phase 1.5: Canopy Analysis 2019.
Article
The author's version with some corrections is available at https://idea.isnew.info/publications.html. ---------- The longest flow path is widely used for studying hydrology. Traditionally, both or either of upstream and downstream flow length rasters are required to calculate the longest flow path. When processing multiple subwatersheds, this appr...
Poster
Full-text available
A special issue of the Hydrology journal is open for submission. Please let me know if you're interested in submitting your research on data assimilation for hydrology. The deadline for submission is January 1, 2021. http://mdpi.com/si/47041
Technical Report
Submitted to the Georgia Forestry Commission as Partial Fulfillment of Georgia Statewide Canopy Assessment Phase 1: Canopy Analysis 2009.
Technical Report
Submitted to the Georgia Forestry Commission as Partial Fulfillment of Georgia Statewide Canopy Assessment Phase 1: Canopy Analysis 2009.
Presentation
The longest flow path is one of important watershed parameters for hydrologic modeling and analysis. For example, many hydrologic models such as HEC-HMS, SWAT, and SWMM require the length of the longest flow path as input. However, an extensive literature review has revealed almost little to no efforts in improving its efficiency. To the author’s k...
Article
Full-text available
We tested four likelihood measures including two limits of acceptability and two absolute model residual methods within the generalized likelihood uncertainty estimation (GLUE) framework using the topography model (TOPMODEL). All these methods take the worst performance of all time steps as the likelihood of a model and none of these methods were s...
Article
Full-text available
The floodway plays an important role in flood modeling. In the United States, the Federal Emergency Management Agency requires the floodway to be determined using an approved computer program for developed communities. It is a local government’s interest to minimize the floodway area because encroachment areas may be permitted for human activities....
Presentation
This abstract focuses on the MapAnything Connector for ArcGIS’s Click2Create feature. Click2Create is a field mapping tool that maps ArcGIS feature fields to object fields in Salesforce. Users create a field mapping template to describe the relationship between Salesforce objects and ArcGIS features. GIS systems are often siloed from operational da...
Conference Paper
In the US, one component of the detailed flood model is to outline the floodway. In floodway boundary determination, encroachment is applied at every cross section to where the rise in water surface is kept just below an allowable threshold while preserving the same flow state as the floodplain model. Determination of optimal floodway boundaries ca...
Article
Full-text available
We present a web application named Let-It-Rain that is able to generate a 1-hour temporal resolution synthetic rainfall time series using the Modified Bartlett-Lewis Rectangular Pulse (MBLRP) model, a type of Poisson stochastic rainfall generator. Let-It-Rain, which can be accessed through the web address http://www.LetItRain.info, adopts a web-bas...
Poster
The objective of this study is to evaluate the applicability of satellite based soil moisture data to improve the performance of Land Surface Model (LSM). For this purpose, various types of satellite-based soil moisture data were assimilated into the model and the performance of the LSM to predict the observed flow time series corresponding to each...
Presentation
Floodway boundaries are essential limits within a floodplain used to outline the area in which encroachment should be severely restricted. This boundary is important to regulating agencies and engineers as it provide valuable information to help in decision making, planning and management of floodplain development activities. An ideal floodway is c...
Presentation
The author introduces the Web-based Hydrologic Modeling System (WHydroMod). The primary objective of this research is to create a web-based system that can generate model files for a physically based, distributed watershed model called the Topography Model (TOPMODEL), with a single mouse click in the web browser. The traditional process of hydrolog...
Presentation
The objective of this study is to evaluate the applicability of the AMSR2 satellite soil moisture data for land surface model in Korean Peninsula. The land surface model was developed for Soyang river basin, and the AMSR2 satellite soil moisture data was assimilated to the LSM soil moisture output. Model was divided into the 10 years of calibration...
Article
The author's version is available at https://idea.isnew.info/publications.html. The Federal Emergency Management Agency has introduced the concept of the “1-percent plus” flow to incorporate various uncertainties in estimation of the 100-year or 1-percent flow. However, to the best of the authors' knowledge, no clear directions for calculating the...
Article
Full-text available
This research evaluates a climate-land cover-water resources interconnected system in a semi-arid watershed with minimal human impact from 1970 to 2009. We found 0.9°C increase in temperature and 10.9% decrease in precipitation. The temperature exhibited a lower increase trend and precipitation showed a similar decrease trend compared to previous s...
Article
Full-text available
This study investigates the response of water resources regarding the climate and land-cover changes in a humid subtropical watershed during the period 1970–2009. A 0.7°C increase in temperature and a 16.3% increase in precipitation were observed. Temperature had a lower increase trend, and precipitation showed definite increasing trend compared to...
Article
The generalized likelihood uncertainty estimation (GLUE) framework has been widely used in hydrologic studies. However, the extensive random sampling causes a high computational burden that prohibits the efficient application of GLUE to costly distributed hydrologic models such as the soil and water assessment tool (SWAT). In this study, a multimod...
Article
We applied the ISPSO-GLUE method, which integrates the Isolated-Speciation-based Particle Swarm Optimization (ISPSO) with the Generalized Likelihood Uncertainty Estimation (GLUE) method, to the uncertainty analysis of the Topography Model (TOPMODEL) and compared its performance with that of the GLUE method. When we performed the same number of mode...
Article
A noble approach of stochastic rainfall generation that can account for inter-annual variability of the observed rainfall is proposed. Firstly, we show that the monthly rainfall statistics that is typically used as the basis of the calibration of the parameters of the Poisson cluster rainfall generators has significant inter-annual variability and...
Article
This study analyzes how the stochastically generated rainfall time series accounting for the inter-annual variability of rainfall statistics can improve the prediction of watershed response variables such as peak flow and runoff depth. The modified Bartlett–Lewis rectangular pulse (MBLRP) rainfall generation model was improved such that it can acco...
Article
A storm identification algorithm conceptualizing storms by elliptical shape was developed. The new algorithm identifies the center, major and minor axes, and the inclination angle of the ellipse that contains the maximum volume of rainfall for a given area, using the Isolated-Speciation-based Particle Swarm Optimization algorithm. It was applied to...
Article
Parameters of the Modified Bartlett-Lewis Rectangular Pulse (MBLRP) stochastic rainfall simulation model were regionalized across the contiguous United States. 3,444 National Climate Data Center (NCDC) rain gauges were used to obtain spatial and seasonal patterns of the model parameters. The MBLRP model was calibrated to minimize the discrepancy be...
Article
The author's version is available at https://idea.isnew.info/publications.html. In this paper, we present a novel multi-modal optimization algorithm for finding multiple local optima in objective function surfaces. We build from Species-based particle swarm optimization (SPSO) by using deterministic sampling to generate new particles during the op...
Article
The spatial variability of the data used in models includes the spatial discretization of the system into subsystems, the data resolution, and the spatial distribution of hydrologic features and parameters. In this study, we investigate the effect of the spatial distribution of land use, soil type, and precipitation on the simulated flows at the ou...
Article
The author's version is available at https://idea.isnew.info/publications.html. The Griewank function is commonly used to test the ability of different solution procedures to find local optima. It is important to know the exact number of minima of the function to support its use as a test function. However, to the best of our knowledge, no attempt...
Thesis
We use models to simulate the real world mainly for prediction purposes. However, since any model is a simplification of reality, there remains a great deal of uncertainty even after the calibration of model parameters. The model’s identifiability of realistic model parameters becomes questionable when the watershed of interest is small, and its ti...
Article
Full-text available
This paper presents ArcGIS-SWAT, a geodata model and geographic information system (GIS) interface for the Soil and Water Assessment Tool (SWAT). The ArcGIS-SWAT data model is a system of geodatabases that store SWAT geographic, numeric, and text input data and results in an organized fashion. Thus, it is proposed that a single and comprehensive ge...

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Projects

Projects (9)
Archived project
ProjPicker (projection picker) is a Python module that allows the user to select all coordinate reference systems (CRSs) whose extent completely contains given points, polylines, polygons, and bounding boxes using set-theoretic logical operators in a postfix notation. The goal is to make it easy and visual to select a desired projection by location. This project was motivated by a GRASS GIS feature request. A new GRASS GIS module g.projpicker that wraps around this project is submitted. https://github.com/HuidaeCho/projpicker
Project
This project will improve the speed of flow accumulation.
Project
This project aims to develop and implement an efficient algorithm for delineating a large number of subwatersheds. It will deliver an open-source hydrology tool.