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임정호
Im, Jungho

임정호

Department of Civil, Urban, Earth, and Environmental Engineering(지구환경도시건설공학과)

  • Intelligent Remote sensing and geospatial Information Science Lab.
  • Website
Research Interests
Remote sensing;Geospatial modeling;Disaster monitoring and management;artificial intelligence;환경원격탐사;인공지능;공간모델링;재난모니터링;재난예측
Lab Description
The IRIS lab utilizes remote sensing, GIS modeling, and artificial intelligence techniques to broaden and deepen our understanding of the Earth science under climate variability/change, and leverages this knowledge to better manage and control critical functions related to terrestrial, coastal, and polar ecosystems, natural and man-made disasters, water resources, and carbon sequestration.
Researcher ID Research Gate ORCiD Scopus Google Scholar
Previous
Quantitative assessment of the scale conversion from instantaneous to daily GPP under various sky conditions based on MODIS local overpassing time File File

Lee, Junghee , Im, Jungho

Article Issue Date2024-12 View81
Bridging satellite missions: deep transfer learning for enhanced tropical cyclone intensity estimation File File

Choo, Minki , Kim, Yejin , Lee, Juhyun , Im, Jungho , Moon, Il-Ju

Article Issue Date2024-12 View37
Unveiling teleconnection drivers for heatwave prediction in South Korea using explainable artificial intelligence File

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

Article Issue Date2024-08 View13
Improving Short-Term Prediction of Ocean Fog Using Numerical Weather Forecasts and Geostationary Satellite-Derived Ocean Fog Data Based on AutoML File File

Sim, Seongmun , Im, Jungho , Jung, Sihun , Han, Daehyeon

Article Issue Date2024-07 View25
ASCAT2SMAP: Image-to-Image Translation to Obtain L-Band-Like Soil Moisture From C-Band Satellite Data File

Lee, Jaese , Jung, Sihun , Im, Jungho

Article Issue Date2024-07 View8
Enhancing tropical cyclone intensity forecasting with explainable deep learning integrating satellite observations and numerical model outputs File

Lee, Juhyun , Im, Jungho , Shin, Yeji

Article Issue Date2024-06 View10
Two-step carbon storage estimation in urban human settlements using airborne LiDAR and Sentinel-2 data based on machine learning File

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

Article Issue Date2024-04 View34
Insights into Canopy Escape Ratio from Canopy Structures: Correlations Uncovered through Sentinel-2 and Field Observation File File

Lee, Junghee , Im, Jungho , Lim, Joongbin , Kim, Kyungmin

Article Issue Date2024-04 View21
Mitigating underestimation of fire emissions from the Advanced Himawari Imager: A machine learning and multi-satellite ensemble approach File

Kang, Yoojin , Im, Jungho

Article Issue Date2024-04 View23
A new statistical downscaling approach for short-term forecasting of summer air temperatures through a fusion of deep learning and spatial interpolation File

Cho, Dongjin , Im, Jungho , Jung, Sihun

Article Issue Date2024-04 View50
A deep-learning-based tree species classification for natural secondary forests using unmanned aerial vehicle hyperspectral images and LiDAR File File

Ma, Ye , Zhao, Yuting , Im, Jungho , Zhao, Yinghui , Zhen, Zhen

Article Issue Date2024-02 View24
Toward an adaptable deep-learning model for satellite-based wildfire monitoring with consideration of environmental conditions File

Kang, Yoojin , Sung, Taejun , Im, Jungho

Article Issue Date2023-12 View57
Towards accurate individual tree parameters estimation in dense forest: optimized coarse-to-fine algorithms for registering UAV and terrestrial LiDAR data File

Zhao, Yuting , Im, Jungho , Zhen, Zhen , Zhao, Yinghui

Article Issue Date2023-12 View32
Precipitation nowcasting using ground radar data and simpler yet better video prediction deep learning File

Han, Daehyeon , Choo, Minki , Im, Jungho , Shin, Yeji , Lee, Juhyun , Jung, Sihun

Article Issue Date2023-12 View43
Combination four different ensemble algorithms with the generalized linear model (GLM) for predicting forest fire susceptibility File

Janizadeh, Saeid , Bateni, Sayed M. , Jun, Changhyun , Im, Jungho , Pai, Hao-Thing , Band, Shahab S. , Mosavi, Amir

Article Issue Date2023-12 View41
Merging multiple sensing platforms and deep learning empowers individual tree mapping and species detection at the city scale File

Kwon, Ryoungseob , Ryu, Youngryel , Yang, Tackang , Zhong, Zilong , Im, Jungho

Article Issue Date2023-12 View25
Diurnal urban heat risk assessment and real-time population data in Seoul File File

Yoo, Cheolhee , Im, Jungho , Weng, Qihao , Cho, Dongjin , Kang, Eunjin , Shin, Yeji

Article Issue Date2023-11 View69
Detection of Individual Trees in Human Settlement Using Airborne LiDAR Data and Deep Learning-Based Urban Green Space Map File

Lee, Yeonsu , Son, Bokyung , Im, Jungho

Article Issue Date2023-10 View29
Environmental Monitoring and Forecasting Using Advanced Remote Sensing Approaches File

Park, Seonyoung , Song, Ahram , Lee, Yangwon , Im, Jungho

Article Issue Date2023-10 View35
Estimation of Fractional Urban Tree Canopy Cover through Machine Learning Using Optical Satellite Images File File

Bae, Sejeong , Son, Bokyung , Sung, Taejun , Lee, Yeonsu , Im, Jungho , Kang, Yoojin

Article Issue Date2023-10 View30
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