Saro Lee

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Ensemble of Machine-Learning Methods for Predicting Gully Erosion Susceptibility

Thomas Blaschke, Asish Saha, Subodh Chandra Pal, 2020, Remote. Sens..

Groundwater Potential Mapping Using Remote Sensing and GIS-Based Machine Learning Techniques

Sunmin Lee, Moung-Jin Lee, Saro Lee, 2020, Remote. Sens..

Validation of a neural network model using cross application approaches

Manfred F. Buchroithner, Biswajeet Pradhan, Saro Lee, 2009 .

Landslide Susceptibility Assessment Using an Optimized Group Method of Data Handling Model

Moung-Jin Lee, Saro Lee, Azam Kadirhodjaev, 2020, ISPRS Int. J. Geo Inf..

Utilizing the SAR, GIS, and Novel Hybrid Metaheuristic-GMDH Algorithm for Flood Susceptibility Mapping

Fatemeh Rezaie, Essam Heggy, Sayed M. Bateni, 2021, 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS.

Prediction of gully erosion susceptibility mapping using novel ensemble machine learning algorithms

Nhat-Duc Hoang, Romulus Costache, Biswajeet Pradhan, 2021, Geomatics, Natural Hazards and Risk.

Flood spatial prediction modeling using a hybrid of meta-optimization and support vector regression modeling

Khabat Khosravi, Binh Thai Pham, Moung-Jin Lee, 2021 .

Spatial prediction of landslide susceptibility in western Serbia using hybrid support vector regression (SVR) with GWO, BAT and COA algorithms

Quoc Bao Pham, Ljubomir Gigović, Abdul-Lateef Balogun, 2021, Geoscience Frontiers.

Assessment of Urban Infrastructures Exposed to Flood Using Susceptibility Map and Google Earth Engine

Hamid Reza Pourghasemi, Mahdi Panahi, Saro Lee, 2021, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Application of the group method of data handling (GMDH) approach for landslide susceptibility zonation using readily available spatial covariates

Omid Rahmati, Fatemeh Rezaie, Mahdi Panahi, 2022, CATENA.

Remote Sensing and Geoscience Information Systems Applied to Groundwater Research

Hyung-Sup Jung, Saro Lee, Saro Lee, 2021, Remote. Sens..

Application of Machine Learning Algorithms for Geogenic Radon Potential Mapping in Danyang-Gun, South Korea

Mohsen Alizadeh, Jongchun Lee, Fatemeh Rezaie, 2021, Frontiers in Environmental Science.

Hybrids of Support Vector Regression with Grey Wolf Optimizer and Firefly Algorithm for Spatial Prediction of Landslide Susceptibility

Mahdi Panahi, Saro Lee, Wei Chen, 2021, Remote. Sens..

Landslide susceptibility modeling based on ANFIS with teaching-learning-based optimization and Satin bowerbird optimizer

Wei Chen, Wei Chen, Mahdi Panahi, 2021, Geoscience Frontiers.

Application of Support Vector Regression and Metaheuristic Optimization Algorithms for Groundwater Potential Mapping in Gangneung-si, South Korea

Chang-Wook Lee, Saro Lee, Yu-Chul Park, 2021, Remote. Sens..

Flood Susceptibility Prediction Using Hybrid-Based Approaches of Support Vector Regression Model and Meta-Heuristic Algorithms

Ali Asghar Alesheikh, Mahdi Panahi, Saro Lee, 2021 .

Evaluation of deep learning algorithms for national scale landslide susceptibility mapping of Iran

Omid Ghorbanzadeh, Khabat Khosravi, Mahdi Panahi, 2021, Geoscience Frontiers.

A novel integrated model for assessing landslide susceptibility mapping using CHAID and AHP pair-wise comparison

Biswajeet Pradhan, Omar F. Althuwaynee, Saro Lee, 2016 .

Assessment of ground subsidence hazard near an abandoned underground coal mine using GIS

Joong-Sun Won, Jong-Kuk Choi, Hyun-Joo Oh, 2006 .

Forecasting and validation of landslide susceptibility using an integration of frequency ratio and neuro-fuzzy models: a case study of Seorak mountain area in Korea

Moung-Jin Lee, Saro Lee, Saro Lee, 2015, Environmental Earth Sciences.

New Ensemble Models for Shallow Landslide Susceptibility Modeling in a Semi-Arid Watershed

Jie Dou, Himan Shahabi, Ataollah Shirzadi, 2019, Forests.

The Application of Artificial Neural Networks to Landslide Susceptibility Mapping at Janghung, Korea

Joong-Sun Won, Joo-Hyung Ryu, Moung-Jin Lee, 2006 .

Landslide detection and susceptibility mapping in the Sagimakri area, Korea using KOMPSAT-1 and weight of evidence technique

Saro Lee, Saro Lee, 2013, Environmental Earth Sciences.

Shallow Landslide Susceptibility Mapping by Random Forest Base Classifier and Its Ensembles in a Semi-Arid Region of Iran

John J. Clague, Himan Shahabi, Ataollah Shirzadi, 2020 .

Landslide susceptibility mapping using a neuro-fuzzy

Saro Lee, Jung B. Choi, Heeyoung Oh, 2009 .

Detecting the intertidal morphologic change using satellite data

Joong-Sun Won, Joo-Hyung Ryu, Chang Hwan Kim, 2008 .

Assessment of Landslide-Prone Areas and Their Zonation Using Logistic Regression, LogitBoost, and NaïveBayes Machine-Learning Algorithms

Hamid Reza Pourghasemi, Sungjae Park, Chang-Wook Lee, 2018, Sustainability.

Prediction of ground subsidence in Samcheok City, Korea using artificial neural networks and GIS

Hyun-Joo Oh, Saro Lee, Saro Lee, 2009 .

Landslide susceptibility mapping by correlation between topography and geological structure: the Janghung area, Korea

Saro Lee, Saro Lee, K. Min, 2002 .

Soil erosion assessment and its verification using the Universal Soil Loss Equation and Geographic Information System: a case study at Boun, Korea

Saro Lee, Saro Lee, 2004 .

Application of decision tree model for the ground subsidence hazard mapping near abandoned underground coal mines.

Saro Lee, Saro Lee, I. Park, 2013, Journal of environmental management.

Detection of landslides using web-based aerial photographs and landslide susceptibility mapping using geospatial analysis

Hyun-Joo Oh, Jaewon Choi, Saro Lee, 2012 .

Spatial prediction of landslide susceptibility using hybrid support vector regression (SVR) and the adaptive neuro-fuzzy inference system (ANFIS) with various metaheuristic algorithms.

Hamid Reza Pourghasemi, Fatemeh Rezaie, Mahdi Panahi, 2020, The Science of the total environment.

Integration of ground subsidence hazard maps of abandoned coal mines in Samcheok, Korea

Hyun-Joo Oh, Saro Lee, Saro Lee, 2011 .

Spatial analysis of groundwater potential using weights-of-evidence and evidential belief function models and remote sensing

Omid Rahmati, Saro Lee, Saro Lee, 2015, Arabian Journal of Geosciences.

Spatial prediction of flood susceptibility using random-forest and boosted-tree models in Seoul metropolitan city, Korea

Hyung-Sup Jung, Sunmin Lee, Saro Lee, 2017 .

Spatial Landslide Hazard Prediction Using Rainfall Probability and a Logistic Regression Model

Joong-Sun Won, Saro Lee, Saro Lee, 2015, Mathematical Geosciences.

Integration of a subsidence model and SAR interferometry for a coal mine subsidence hazard map in Taebaek, Korea

Joong-Sun Won, Hyung-Sup Jung, Jong-Kuk Choi, 2011 .

Novel Machine Learning Approaches for Modelling the Gully Erosion Susceptibility

Biswajeet Pradhan, Saro Lee, Asish Saha, 2020, Remote. Sens..

Statistical analysis of landslide susceptibility at Yongin, Korea

Saro Lee, Saro Lee, K. Min, 2001 .

A Hybrid Computational Intelligence Approach to Groundwater Spring Potential Mapping

Wei Chen, Biswajeet Pradhan, Vijay P. Singh, 2019, Water.

Quantitative landslide susceptibility mapping at Pemalang area, Indonesia

Hyun-Joo Oh, Saro Lee, Saro Lee, 2010 .

Spatial prediction of urban landslide susceptibility based on topographic factors using boosted trees

Sunmin Lee, Saro Lee, Moung-Jin Lee, 2018, Environmental Earth Sciences.

Current and Future Status of GIS-based Landslide Susceptibility Mapping: A Literature Review

Saro Lee, 2019 .

Cross-application used to validate landslide susceptibility maps using a probabilistic model from Korea

Hyun-Joo Oh, Saro Lee, Saro Lee, 2011 .

Application of probabilistic-based frequency ratio model in groundwater potential mapping using remote sensing data and GIS

Biswajeet Pradhan, Wan Nor Azmin Sulaiman, Mohammad Firuz Ramli, 2014, Arabian Journal of Geosciences.

Groundwater aquifer potential modeling using an ensemble multi-adoptive boosting logistic regression technique

Biswajeet Pradhan, Hossein Mojaddadi Rizeei, Maryam Adel Saharkhiz, 2019 .

Application of geospatial models to map potential Ruditapes philippinarum habitat using remote sensing and GIS

Jong-Kuk Choi, Joo-Hyung Ryu, Saro Lee, 2014 .

Spatial prediction of landslide susceptibility using a decision tree approach: a case study of the Pyeongchang area, Korea

Saro Lee, Saro Lee, I. Park, 2014 .

Geographic Information System (GIS) based stability analysis of rock cut slopes

Hyuck-Jin Park, Saro Lee, Ik Woo, 2004 .

Macrobenthos habitat potential mapping using GIS-based artificial neural network models.

Jong-Kuk Choi, Joo-Hyung Ryu, Saro Lee, 2013, Marine pollution bulletin.

GIS-Based Gully Erosion Susceptibility Mapping: A Comparison of Computational Ensemble Data Mining Models

Wei Chen, John J. Clague, Himan Shahabi, 2020, Applied Sciences.

An ensemble model for landslide susceptibility mapping in a forested area

Biswajeet Pradhan, Alireza Arabameri, Masoud Sohrabi, 2020, Geocarto International.

Spatial prediction of groundwater potential mapping based on convolutional neural network (CNN) and support vector regression (SVR)

Hamid Reza Pourghasemi, Fatemeh Rezaie, Mahdi Panahi, 2020, Journal of Hydrology.

Spatial Prediction of Ground Subsidence Susceptibility Using an Artificial Neural Network

Jong-Kuk Choi, Saro Lee, Saro Lee, 2012, Environmental Management.

Frequency Ratio Model for Mapping Groundwater Potential Zones Using GIS and Remote Sensing; Medjerda Watershed Tunisia

Slaheddine Khlifi, Saro Lee, Saro Lee, 2018, Advances in Sustainable and Environmental Hydrology, Hydrogeology, Hydrochemistry and Water Resources.

Predictive landslide susceptibility mapping using spatial information in the Pechabun area of Thailand

Hyun-Joo Oh, Chang Hwan Kim, Saro Lee, 2009 .

Spatial Assessment of Urban Flood Susceptibility Using Data Mining and Geographic Information System (GIS) Tools

Hyung-Sup Jung, Sunmin Lee, Moung-Jin Lee, 2018 .

Landslide hazard mapping considering rainfall probability in Inje, Korea

Joong-Sun Won, Saro Lee, Saro Lee, 2016 .

Statistical models for the assessment of nitrate contamination in urban groundwater using GIS

Saro Lee, N. Woo, Nam Chil Woo, 2003 .

Development of two artificial neural network methods for landslide susceptibility analysis

Joong-Sun Won, Joo-Hyung Ryu, Saro Lee, 2001, IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217).

Macrobenthos habitat mapping in a tidal flat using remotely sensed data and a GIS-based probabilistic model.

Jong-Kuk Choi, Joo-Hyung Ryu, Hyun-Joo Oh, 2011, Marine pollution bulletin.

Application of Artificial Neural Network for Mineral Potential Mapping

Hyun-Joo Oh, Saro Lee, Saro Lee, 2011 .

Sensitivity analysis for the GIS-based mapping of the ground subsidence hazard near abandoned underground coal mines

Jong-Kuk Choi, Hyun-Joo Oh, Saro Lee, 2011 .

APPLICATION OF A DATA MINING MODEL FOR LANDSLIDE HAZARD MAPPING

Manfred F. Buchroithner, Biswajeet Pradhan, Shattri Mansor, 2008 .

Evaluation of waste disposal site using the DRASTIC system in Southern Korea

Saro Lee, Saro Lee, 2003 .

Application and cross-validation of spatial logistic multiple regression for landslide susceptibility analysis

Saro Lee, Saro Lee, 2005 .

Application of a fuzzy operator to susceptibility estimations of coal mine subsidence in Taebaek City, Korea

Joong-Sun Won, Jong-Kuk Choi, Saro Lee, 2010 .

Self-Learning Random Forests Model for Mapping Groundwater Yield in Data-Scarce Areas

Biswajeet Pradhan, Maher Ibrahim Sameen, Saro Lee, 2018, Natural Resources Research.

Assessment of ground subsidence using GIS and the weights-of-evidence model

Hyun-Joo Oh, Saro Lee, Saro Lee, 2010 .

Groundwater Productivity Potential Mapping Using Logistic Regression and Boosted Tree Models: The Case of Okcheon City in Korea

Chang-Wook Lee, Saro Lee, Saro Lee, 2018, Advances in Remote Sensing and Geo Informatics Applications.