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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
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
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
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 View15
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
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
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
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
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
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
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
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
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
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 View33
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 View44
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 View42
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
Key factors for quantitative precipitation nowcasting using ground weather radar data based on deep learning File File

Han, Daehyeon , Im, Jungho , Shin, Yeji , Lee, Juhyun

Article Issue Date2023-10 View45
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
Classification of Carbon-Based Global Marine Eco-Provinces Using Remote Sensing Data and K-Means Clustering File File

Kim, Young Jun , Bae, Dukwon , Im, Jungho , Jung, Sihun , Choo, Minki , Han, Daehyeon

Article Issue Date2023-10 View29
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