Cheolhee Yoo

About Cheolhee Yoo

Cheolhee Yoo, With an exceptional h-index of 15 and a recent h-index of 15 (since 2020), a distinguished researcher at Ulsan National Institute of Science and Technology, specializes in the field of Remote Sensing, Artificial Intelligence, GIS, Urban climate, Urban sustainability.

His recent articles reflect a diverse array of research interests and contributions to the field:

Comparisons of Deep Learning Models for Dynamic Local Climate Zone Mapping

Unequal impacts of urban industrial land expansion on economic growth and carbon dioxide emissions

Building energy savings by green roofs and cool roofs in current and future climates

Urban Flooding Monitoring and Management in Geospatial Perspective: Data, Techniques, and Platforms

GeoAI for High-Resolution Urban Air Temperature Estimation and Urban Heat Island Monitoring

A hybrid machine learning approach to investigate the changing urban thermal environment by dynamic land cover transformation: A case study of Suwon, republic of Korea

Trend Analysis ofVegetation Changes of Korean Fir (Abies koreana Wilson) in Hallasan and Jirisan Using MODIS Imagery

Diurnal urban heat risk assessment using extreme air temperatures and real-time population data in Seoul

Cheolhee Yoo Information

University

Position

___

Citations(all)

984

Citations(since 2020)

966

Cited By

239

hIndex(all)

15

hIndex(since 2020)

15

i10Index(all)

17

i10Index(since 2020)

17

Email

University Profile Page

Google Scholar

Cheolhee Yoo Skills & Research Interests

Remote Sensing

Artificial Intelligence

GIS

Urban climate

Urban sustainability

Top articles of Cheolhee Yoo

Comparisons of Deep Learning Models for Dynamic Local Climate Zone Mapping

Handbook of Geospatial Approaches to Sustainable Cities

2024/6/4

Cheolhee Yoo
Cheolhee Yoo

H-Index: 7

Qihao Weng
Qihao Weng

H-Index: 57

Unequal impacts of urban industrial land expansion on economic growth and carbon dioxide emissions

Communications Earth & Environment

2024/4/15

Cheolhee Yoo
Cheolhee Yoo

H-Index: 7

Qihao Weng
Qihao Weng

H-Index: 57

Building energy savings by green roofs and cool roofs in current and future climates

npj Urban Sustainability

2024/4/3

Qihao Weng
Qihao Weng

H-Index: 57

Cheolhee Yoo
Cheolhee Yoo

H-Index: 7

Urban Flooding Monitoring and Management in Geospatial Perspective: Data, Techniques, and Platforms

2024

GeoAI for High-Resolution Urban Air Temperature Estimation and Urban Heat Island Monitoring

2024

Cheolhee Yoo
Cheolhee Yoo

H-Index: 7

Qihao Weng
Qihao Weng

H-Index: 57

A hybrid machine learning approach to investigate the changing urban thermal environment by dynamic land cover transformation: A case study of Suwon, republic of Korea

2023/8/1

Trend Analysis ofVegetation Changes of Korean Fir (Abies koreana Wilson) in Hallasan and Jirisan Using MODIS Imagery

2023

Diurnal urban heat risk assessment using extreme air temperatures and real-time population data in Seoul

iScience

2023/11/17

Direct aerosol optical depth retrievals using MODIS reflectance data and machine learning over East Asia

Atmospheric Environment

2023/9/15

Identifying the impact of regional meteorological parameters on US crop yield at various spatial scales using remote sensing data

Remote Sensing

2022/7/22

Cheolhee Yoo
Cheolhee Yoo

H-Index: 7

Daehyun Kang
Daehyun Kang

H-Index: 4

Downscaling MODIS nighttime land surface temperatures in urban areas using ASTER thermal data through local linear forest

International Journal of Applied Earth Observation and Geoinformation

2022/6/1

Improved soil moisture estimation: Synergistic use of satellite observations and land surface models over CONUS based on machine learning

Journal of Hydrology

2022/6/1

All-sky 1 km MODIS land surface temperature reconstruction considering cloud effects based on machine learning

Remote Sensing

2022/4/9

A novel ensemble learning for post-processing of NWP Model's next-day maximum air temperature forecast in summer using deep learning and statistical approaches

Weather and Climate Extremes

2022/3/1

High-resolution seamless daily sea surface temperature based on satellite data fusion and machine learning over Kuroshio Extension

Remote Sensing

2022/1/25

Cheolhee Yoo
Cheolhee Yoo

H-Index: 7

Jungho Im
Jungho Im

H-Index: 34

Estimation of spatially continuous near-surface relative humidity over Japan and South Korea

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

2021/8/10

Comparative Assessment of Linear Regression and Machine Learning for Analyzing the Spatial Distribution of Ground-level NO2 Concentrations: A Case Study for Seoul, Korea

2021

Analysis of surface urban heat island and land surface temperature using deep learning based local climate zone classification: A case study of suwon and daegu, korea

2021

Jungho Im
Jungho Im

H-Index: 34

Cheolhee Yoo
Cheolhee Yoo

H-Index: 7

Improving local climate zone classification using incomplete building data and Sentinel 2 images based on convolutional neural networks

Remote Sensing

2020/10/30

Improvement of spatial interpolation accuracy of daily maximum air temperature in urban areas using a stacking ensemble technique

GIScience & Remote Sensing

2020/7/3

See List of Professors in Cheolhee Yoo University(Ulsan National Institute of Science and Technology)

Co-Authors

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