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Cheolhee Yoo

Assistant Professor

Jet Propulsion Laboratory, California Institute of Technology

United States

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About

Cheolhee Yoo is an Associate Professor at the Jet Propulsion Laboratory, California Institute of Technology, USA. His research focuses on remote sensing and machine learning applications in meteorology, agriculture, and urban heat dynamics. Recent publications include work on crop yield analysis, land surface temperature reconstruction, and improving soil moisture estimation through satellite observations and numerical models.

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2020

Collaborators (3)

Qihao Weng

Professor

The Hong Kong Polytechnic University

HONG KONG

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Tc Chakraborty

Pacific Northwest National Laboratory

UNITED STATES

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Zoe Amie Pierrat

Assistant Professor

University of California, Santa Barbara

UNITED STATES

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Cheolhee Yoo

Research Interests

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About

Articles (23)

Global patterns of urban heat shaped by climate and morphology

From heat maps to cooling actions: AI-driven citywide hourly mapping of thermal stress, drivers, and targeted cooling

Fundamentals of Thermal Infrared Remote Sensing

Downscaling of Landsat LST with HotSat-1 data and generative adversarial networks

Quantifying Multi-pollutant Co-exposure via Deep Learning-Based Simultaneous Prediction Using Geostationary Satellite Data

A 3-dimension urban growth analysis using local climate zone mapping

Nationwide Local Climate Zone Mapping and Comparative Assessment of Urban Heat Island Effects in South Korea

Nighttime satellite land surface temperature for urban applications: achievements, challenges, and future prospects

Global variations of urban form: Characterization and quantification through intelligent remote sensing image analysis

Mapping 10-m Industrial Lands across 1000+ Global Large Cities, 2017–2023

Global investigation of pedestrian-level cooling and energy-saving potentials of green and cool roofs in 43 megacities

Improved hourly all-sky land surface temperature estimation: Incorporating the temporal variability of cloud-radiation interactions

Irregular anisotropy in surface urban heat island footprint

Identifying the Impact of Regional Meteorological Parameters on US Crop Yield at Various Spatial Scales Using Remote Sensing Data

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

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

All-Sky 1 km MODIS Land Surface Temperature Reconstruction Considering Cloud Effects Based on Machine Learning

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

High-Resolution Seamless Daily Sea Surface Temperature Based on Satellite Data Fusion and Machine Learning over Kuroshio Extension

Comparative Assessment of Linear Regression and Machine Learning for Analyzing the Spatial Distribution of Ground-level NO<sub>2</sub> Concentrations: A Case Study for Seoul, Korea

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

Estimation of Spatially Continuous Near-Surface Relative Humidity Over Japan and South Korea

Multi-task Learning Based Tropical Cyclone Intensity Monitoring and Forecasting through Fusion of Geostationary Satellite Data and Numerical Forecasting Model Output

Collaborators (3)

Qihao Weng

Tc Chakraborty

Zoe Amie Pierrat

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