Goal 11: Sustainable cities and communit | irislab

top of page

본 사이트는

사이트 제작 도구로 제작되었습니다. 지금 나만의 사이트를 만들어보세요.시작하기

RESEARCH

Goal 11: Sustainable cities and communities

2024

Unveiling teleconnection drivers for heatwave prediction in South Korea using explainable artificial intelligence

Lee, Yeonsu; Cho, Dongjin; Im, Jungho; Yoo, Cheolhee; Lee, Joonlee; Ham, Yoo-Geun; Lee, Myong-In

NPJ CLIMATE AND ATMOSPHERIC SCIENCE, Article number: 176

Enhancing tropical cyclone intensity forecasting with explainable deep learning integrating satellite observations and numerical model outputs

Lee, Juhyun; Im, Jungho; Shin, Yeji

ISCIENCE, Volume 27, Issue 6109905

Two-step carbon storage estimation in urban human settlements using airborne LiDAR and Sentinel-2 data based on machine learning

Lee, Yeonsu; Son, Bokyung; Im, Jungho; Zhen, Zhen; Quackenbush, Lindi J

URBAN FORESTRY & URBAN GREENING, v.94, pp.128239

A new statistical downscaling approach for short-term forecasting of summer air temperatures through a fusion of deep learning and spatial interpolation

Cho, Dongjin; Im, Jungho; Jung, Sihun

QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, Volume 150, Issue 760, Pages 1222-1242

Bridging satellite missions: deep transfer learning for enhanced tropical cyclone intensity estimation
Choo, Minki; Kim, Yejin; Lee, Juhyun; Im, Jungho; Moon, Il-Ju

GISCIENCE & REMOTE SENSING, v.61, no.1, pp.2325720

2023

항공 라이다와 딥러닝 기반 도시 수목 지도를 이용한 개별 도시 수목 탐지
이연수; 손보경; 임정호
대한원격탐사학회지, 39(5-4), pp.1145-1153

기계학습을 이용한 광학 위성 영상 기반의 도시 내 수목 피복률 추정
배세정; 손보경; 성태준; 이연수; 임정호; 강유진
대한원격탐사학회지, 39(5-3), pp.1009-1029

Key factors for quantitative precipitation nowcasting using ground weather radar data based on deep learning
Han, Daehyeon; Shin, Yeji; Im, Jungho; Lee, Juhyun
GEOSCIENTIFIC MODEL DEVELOPMENT DISCUSSIONS, v.16, no.20, pp.5895-5914

Diurnal Urban Heat Risk Assessment Using Extreme Air Temperatures and Real-time Population Data in Seoul
Yoo, Cheolhee; Im, Jungho; Weng, Qihao; Cho, Dongjin; Kang, Eunjin; Shin, Yeji
ISCIENCE, v.26, no.11, pp.108123

Synthetic Aperture Radar 인공위성 영상과 지형 자료를 활용한 하천 수변피복 분류 기계학습 알고리즘 개발
이재세; 배덕원; 김영준; 임정호
GEOAI DATA SOCIETY, v.5, no.3, pp.119-125

Precipitation nowcasting using ground radar data and simpler yet better video prediction deep learning
Han, Daehyeon; Choo, Minki; Im, Jungho; Shin, Yeji; Lee, Juhyun; Jung, Sihun
GISCIENCE & REMOTE SENSING, v.60, no.1, pp.2203363

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
Lee, Siwoo; Yoo, Cheolhee; Im, Jungho; Cho, Dongjin; Lee, Yeonsu; Bae, Dukwon
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, v.122, pp.103408

2022

An Advanced Operational Approach for Tropical Cyclone Center Estimation Using Geostationary-Satellite-Based Water Vapor and Infrared Channels
Shin, Yeji; Lee, Juhyun; Im, Jungho; and Sim, Seongmun
REMOTE SENSING, v.14, no.19, pp.4800

Geostationary satellite-derived ground-level particulate matter concentrations using real-time machine learning in Northeast Asia
Park, Seohui; Im, Jungho, Kim Jhoon; Kim, Sang-min
ENVIRONMENTAL POLLUTION, v.306, pp.119425

Downscaling MODIS nighttime land surface temperatures in urban areas using ASTER thermal data through local linear forest
Yoo, Cheolhee; Im, Jungho; Cho, Dongjin; Lee, Yeonsu; Bae, Dukwon; Sismanidis, Panagiotis
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, v.110, pp.102827

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

Cho, Dongjin; Bae, Dukwon; Yoo, cheolhee; Im, Jungho; Lee, Yeonsu; Lee, Siwoo

REMOTE SENSING, v.14, no.8, pp.1815

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

Cho, Dongjin; Yoo, Cheolhee; Son, Bokyung; Im, Jungho; Yoon, Donghyuck; Cha, Dong-Hyun

WEATHER AND CLIMATE EXTREMES, v.35, pp.100410

2021

서울 지역 지상 NO2 농도 공간 분포 분석을 위한 회귀 모델 및 기계학습 기법 비교
강은진; 유철희; 신예지; 조동진; 임정호
대한원격탐사학회지, v.37, no.6-1, pp.1739 - 1756

딥러닝 기반 Local Climate Zone 분류체계를 이용한 지표면온도와 도시열섬 분석: 수원시와 대구광역시를 대상으로
이연수; 이시우; 임정호; 유철희
대한원격탐사학회지, v.37, no.5, pp.1447-1460

항공 LiDAR 및 RGB 정사 영상을 이용한 딥러닝 기반의 도시녹지 분류
손보경; 이연수; 임정호
한국지리정보학회지, v.24, no.3, pp.83-98

Pre-trained feature aggregated deep learning-based monitoring of overshooting tops using multi-spectral channels of GeoKompsat-2A advanced meteorological imagery
Lee, Juhyun; Kim, Miae; Im, Jungho; Han, Hyangsun; Han, Daehyeon
GISCIENCE & REMOTE SENSING, 1052-1071

부스팅 기반 기계학습기법을 이용한 지상 미세먼지 농도 산출
박서희; 김미애; 임정호
대한원격탐사학회지, v.37, no.2, pp.321-335

2020

Improving Local Climate Zone Classification Using Incomplete Building Data and Sentinel 2 Images Based on Convolutional Neural Networks
Yoo, Cheolhee; Lee, Yeonsu; Cho, Dongjin; Im, Jungho; Han, Daehyeon
REMOTE SENSING, v.12, no.21, pp.3552

Spatial Downscaling of MODIS Land Surface Temperature: Recent Research Trends, Challenges, and Future Directions
Yoo, Cheolhee; Im, Jungho; Park, Sumin; Cho, Dongjin
대한원격탐사학회지, v.36, no.4, pp.609-626

Improvement of spatial interpolation accuracy of daily maximum air temperature in urban areas using a stacking ensemble technique
Cho, Dongjin; Yoo, Cheolhee; Im, Jungho; Lee, Yeonsu; Lee, Jaese
GISCIENCE & REMOTE SENSING, v.57, no.5, pp.633-649

Estimation of All-Weather 1km MODIS Land Surface Temperature for Humid Summer Days
Yoo, Cheolhee; Im, Jungho; Cho, Dongjin; Yokoya, Naoto; Xia, Junshi; Bechtel, Benjamin
REMOTE SENSING, v.12, no.9, pp.1398

Estimation of spatially continuous daytime particulate matter concentrations under all sky conditions through the synergistic use of satellite-based AOD and numerical models
Park, Seohui; Lee, Junghee; Im, Jungho; Song, Chang-Keun; Choi, Myungje; Kim, Jhoon; Lee, Seungun; Park, Rokjin; Kim, Sang-Min; Yoon, Jongmin; Lee, Dong-Won; Quackenbush, Lindi J.
SCIENCE OF THE TOTAL ENVIRONMENT, v.713, pp.136516

Comparative assessment of various machine learning-based bias correction methods for numerical weather prediction model forecasts of extreme air temperatures in urban areas
Cho, Dongjin; Yoo, Cheolhee; Im, Jungho; Cha, Dong‐Hyun
EARTH AND SPACE SCIENCE, v.7, no.4, pp.e2019EA000

2019

Comparison between convolutional neural networks and random forest for local climate zone classification in mega urban areas using Landsat images
Yoo, Cheolhee; Han, Daehyeon; Im, Jungho; Bechtel, Benjamin
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, v.157, pp.155 - 170

2018

Estimation of daily maximum and minimum air temperatures in urban landscapes using MODIS time series satellite data
Yoo, Cheolhee; Im, Jungho; Park, Seonyoung; Quackenbush, Lindi J.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, v.137, no., pp.149 - 162

2017

기계학습 기반 상세화를 통한 위성 지표면온도와 환경부 토지피복도를 이용한 열환경 분석: 대구광역시를 중심으로
유철희; 임정호; 박선영; 조동진
대한원격탐사학회지, v.33, no.6-2, pp.1101 - 1118

(The content of this publication has not been approved by the United Nations and does not reflect the views of the United Nations or its officials or Member States.)

bottom of page