Lee, Saro
Saro Lee researcher
VIAF ID: 4173157282929003640002 (Personal)
Permalink: http://viaf.org/viaf/4173157282929003640002
Preferred Forms
- 100 1 _ ‡a Lee, Saro
-
- 100 1 _ ‡a Lee, Saro
- 100 0 _ ‡a Saro Lee ‡c researcher
4xx's: Alternate Name Forms (1)
5xx's: Related Names (2)
Works
Title | Sources |
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Advances in Remote Sensing and Geo Informatics Applications : Proceedings of the 1st Springer Conference of the Arabian Journal of Geosciences (CAJG-1), Tunisia 2018 | |
Assessment of Landslide-Prone Areas and Their Zonation Using Logistic Regression, LogitBoost, and NaïveBayes Machine-Learning Algorithms | |
Assessment of Urban Infrastructures Exposed to Flood Using Susceptibility Map and Google Earth Engine | |
Comparison of landslide susceptibility maps generated through multiple logistic regression for three test areas in Korea | |
A comparison of the Landsat image and LAHARZ-simulated lahar inundation hazard zone by the 2010 Merapi eruption | |
Crustacean habitat potential mapping in a tidal flat using remote sensing and GIS | |
Detecting the intertidal morphologic change using satellite data | |
Editorial for Special Issue: “Application of Artificial Neural Networks in Geoinformatics” | |
The effect of spatial resolution on the accuracy of landslide susceptibility mapping: a case study in Boun, Korea | |
Evaluation of waste disposal site using the DRASTIC system in Southern Korea | |
Extraction of landslide-related factors from ASTER imagery and its application to landslide susceptibility mapping | |
Flood susceptibility mapping using integrated bivariate and multivariate statistical models | |
GIS application on spatial landslide analysis using statistical based models | |
GIS-based gully erosion susceptibility mapping: a comparison among three data-driven models and AHP knowledge-based technique | |
GIS Multi-Criteria Analysis by Ordered Weighted Averaging (OWA): Toward an Integrated Citrus Management Strategy | |
Habitat Potential Mapping of Marten (Martes flavigula) and Leopard Cat (Prionailurus bengalensis) in South Korea Using Artificial Neural Network Machine Learning | |
Integration of a subsidence model and SAR interferometry for a coal mine subsidence hazard map in Taebaek, Korea | |
Introduction: Hazard Mapping | |
Land Subsidence Susceptibility Mapping Using Bayesian, Functional, and Meta-Ensemble Machine Learning Models | |
Landslide detection and susceptibility mapping in the Sagimakri area, Korea using KOMPSAT-1 and weight of evidence technique | |
Landslide Susceptibility Assessment Using Frequency Ratio Technique with Iterative Random Sampling | |
Modelling gully-erosion susceptibility in a semi-arid region, Iran: Investigation of applicability of certainty factor and maximum entropy models | |
Novel Credal Decision Tree-Based Ensemble Approaches for Predicting the Landslide Susceptibility | |
A Novel Ensemble Artificial Intelligence Approach for Gully Erosion Mapping in a Semi-Arid Watershed (Iran) | |
Prediction of ground subsidence in Samcheok City, Korea using artificial neural networks and GIS | |
Prediction of landslides using ASTER imagery and data mining models | |
Predictive radon potential mapping in groundwater: a case study in Yongin, Korea | |
Probabilistic landslide hazards and risk mapping on Penang Island, Malaysia | |
Probabilistic landslide susceptibility mapping in the Lai Chau province of Vietnam: focus on the relationship between tectonic fractures and landslides | |
Quantitative landslide susceptibility mapping at Pemalang area, Indonesia | |
Regional groundwater productivity potential mapping using a geographic information system (GIS) based artificial neural network model | |
Regional Probabilistic and Statistical Mineral Potential Mapping of Gold–Silver Deposits Using GIS in the Gangreung Area, Korea | |
Remote Sensing and GIS-based Landslide Susceptibility Analysis and its Cross-validation in Three Test Areas Using a Frequency Ratio Model | |
Self-Learning Random Forests Model for Mapping Groundwater Yield in Data-Scarce Areas | |
Sensitivity analysis for the GIS-based mapping of the ground subsidence hazard near abandoned underground coal mines | |
Sensor Technologies and Methods for Geoinformatics and Remote Sensing | |
SEVUCAS: A Novel GIS-Based Machine Learning Software for Seismic Vulnerability Assessment | |
Soil erosion assessment and its verification using the Universal Soil Loss Equation and Geographic Information System: a case study at Boun, Korea | |
Spatial analysis of groundwater potential using weights-of-evidence and evidential belief function models and remote sensing | |
Spatial Assessment of Urban Flood Susceptibility Using Data Mining and Geographic Information System (GIS) Tools | |
Spatial polychaeta habitat potential mapping using probabilistic models | |
Spatial prediction of flood susceptibility using random-forest and boosted-tree models in Seoul metropolitan city, Korea | |
Spatial prediction of landslide susceptibility using hybrid support vector regression (SVR) and the adaptive neuro-fuzzy inference system (ANFIS) with various metaheuristic algorithms | |
Spatial relationships between radon and topographical, geological, and geochemical factors and their relevance in all of South Korea | |
Use of geospatial data and fuzzy algebraic operators to landslide-hazard mapping | |
Validation of an artificial neural network model for landslide susceptibility mapping |