J. Im

发表

A Fusion Approach for Tree Crown Delineation from Lidar Data

Jungho Im, Colin J. Gleason, C. Gleason, 2012 .

Object-based landfast sea ice detection over West Antarctica using time series ALOS PALSAR data

J. Im, Miae Kim, Hyun‐cheol Kim, 2020 .

Optimum Scale in Object‐Based Image Analysis

Lindi J. Quackenbush, J. Im, Manqi Li, 2014 .

Remote Sensing Agricultural Crop Type for Sustainable Development in South Africa

J. R. Jensen, J. Im, B. Davis, 2006 .

Object-Based Land Cover Classification Using High-Posting-Density LiDAR Data

M. Hodgson, J. R. Jensen, J. Im, 2008 .

Intercomparison of Downscaling Techniques for Satellite Soil Moisture Products

Minha Choi, J. Im, Daeun Kim, 2018, Advances in Meteorology.

Spatiotemporal downscaling approaches for monitoring 8-day 30 m actual evapotranspiration

Jungho Im, Huili Gong, Seonyoung Park, 2017 .

Machine learning approaches for forest classification and change analysis using multi-temporal Landsat TM images over Huntington Wildlife Forest

J. Im, Manqi Li, C. Beier, 2013 .

Impervious surface quantification using a synthesis of artificial immune networks and decision/regression trees from multi-sensor data

Lindi J. Quackenbush, J. Im, J. Rhee, 2012 .

A Review of Remote Sensing of Forest Biomass and Biofuel: Options for Small-Area Applications

C. Gleason, J. Im, 2011 .

Forest biomass estimation from airborne LiDAR data using machine learning approaches

Jungho Im, Colin J. Gleason, C. Gleason, 2012 .

Characterization of Forest Crops with a Range of Nutrient and Water Treatments Using AISA Hyperspectral Imagery

Jungho Im, Jinyoung Rhee, John R. Jensen, 2012 .

Hyperspectral Remote Sensing of Vegetation

J. R. Jensen, J. Im, 2008 .

Machine Learning Approaches for Estimating Forest Stand Height Using Plot-Based Observations and Airborne LiDAR Data

Jungho Im, Lindi J. Quackenbush, J. Im, 2018 .

Prediction of monthly Arctic sea ice concentrations using satellite and reanalysis data based on convolutional neural networks

J. Im, Hyun‐cheol Kim, Sanggyun Lee, 2020 .

Prediction of monthly Arctic sea ice concentration using satellite and reanalysis data based on convolutional neural networks

J. Im, Sanggyun Lee, Hyuncheol Kim, 2019 .

Delineation of high resolution climate regions over the Korean Peninsula using machine learning approaches

J. Im, J. Rhee, Sumin Park, 2019, PloS one.

Recent ENSO influence on East African drought during rainy seasons through the synergistic use of satellite and reanalysis data

J. Im, Seonyoung Park, C. Yoo, 2020 .

Downscaling GLDAS Soil Moisture Data in East Asia through Fusion of Multi-Sensors by Optimizing Modified Regression Trees

J. Im, J. Rhee, Seonyoung Park, 2017 .

Monitoring agricultural drought for arid and humid regions using multi-sensor remote sensing data

G. Carbone, J. Im, J. Rhee, 2010 .

Drought assessment and monitoring through blending of multi-sensor indices using machine learning approaches for different climate regions

J. Im, J. Rhee, Seonyoung Park, 2016 .

Drought monitoring using high resolution soil moisture through multi-sensor satellite data fusion over the Korean peninsula

J. Im, J. Rhee, Seonyoung Park, 2017 .

Meteorological drought forecasting for ungauged areas based on machine learning: Using long-range climate forecast and remote sensing data

J. Im, J. Rhee, 2017 .

Machine learning approaches to coastal water quality monitoring using GOCI satellite data

S. Ha, J. Im, Jong-Kuk Choi, 2014 .

Variations in ice velocities of Pine Island Glacier Ice Shelf evaluated using multispectral image matching of Landsat time series data

J. Im, Hyun‐cheol Kim, Hyangsun Han, 2016 .

Delineation of climate regions using in-situ and remotely-sensed data for the Carolinas

J. R. Jensen, G. Carbone, J. Im, 2008 .

A change detection model based on neighborhood correlation image analysis and decision tree classification

John R. Jensen, Jungho Im, J. R. Jensen, 2005 .

Detection of tropical cyclone genesis via quantitative satellite ocean surface wind pattern and intensity analyses using decision trees

J. Im, Seonyoung Park, Myung‐Sook Park, 2016 .

A Genetic Algorithm Approach to Moving Threshold Optimization for Binary Change Detection

J. R. Jensen, J. Im, Zhenyu Lu, 2011 .

Characteristics of Search Spaces for Identifying Optimum Thresholds in Change Detection Studies

M. Hodgson, J. Im, 2009 .

Enhancing Binary Change Detection Performance Using A Moving Threshold Window (MTW) Approach

J. R. Jensen, J. Im, J. Rhee, 2009 .

A Remote Sensing and GIS-assisted Spatial Decision Support System for Hazardous Waste Site Monitoring

J. A. Tullis, M. Hodgson, J. R. Jensen, 2009 .

Remote Sensing Change Detection in Urban Environments

J. R. Jensen, J. Im, 2007 .

[Research Articles] Neural Networks Approach to Fire Severity Mapping from a Single Post-Fire Landsat 7 ETM+ Imagery

J. Im, Chong-hwa Park, 2004 .

Characteristics of Landsat 8 OLI-derived NDVI by comparison with multiple satellite sensors and in-situ observations

Y. Ryu, Y. Ke, H. Gong, 2015 .

Deep learning-based monitoring of overshooting cloud tops from geostationary satellite data

Jungho Im, Miae Kim, Junghye Lee, 2018 .

Estimating ground-level particulate matter concentrations using satellite-based data: a review

Jungho Im, Cheolhee Yoo, Lindi J. Quackenbush, 2020 .

Estimation of spatially continuous daytime particulate matter concentrations under all sky conditions through the synergistic use of satellite-based AOD and numerical models.

Jungho Im, Chang-Keun Song, Myungje Choi, 2020, The Science of the total environment.

CLASSIFICATION OF CROPLANDS THROUGH FUSION OF OPTICAL AND SAR TIME SERIES DATA

J. Im, Sumin Park, 2016 .

Estimation of daily maximum and minimum air temperatures in urban landscapes using MODIS time series satellite data

Jungho Im, Cheolhee Yoo, Lindi J. Quackenbush, 2018 .

Developing data-driven models for quantifying Cochlodinium polykrikoides using the Geostationary Ocean Color Imager (GOCI)

J. Im, K. Cho, Yongeun Park, 2018 .

Estimation of Aboveground Forest Biomass Carbon Stock by Satellite Remote Sensing - A Comparison between k-Nearest Neighbor and Regression Tree Analysis -

Jaehoon Jung, Jungho Im, Joon Heo, 2014 .

Change Analysis of Aboveground Forest Carbon Stocks According to the Land Cover Change Using Multi-Temporal Landsat TM Images and Machine Learning Algorithms

J. Heo, J. Im, Junghee Lee, 2015 .

CO2 concentration and its spatiotemporal variation in the troposphere using multi-sensor satellite data, carbon tracker, and aircraft observations

J. Im, Sanggyun Lee, Myong-in Lee, 2017 .

RELATIONSHIP BETWEEN HIMAWARI-8-DERIVED OVERSHOOTING TOPS AND EXTREME WEATHER EVENTS IN SOUTHEAST ASIA

J. Im, Miae Kim, H. Park, 2016 .

Arctic lead detection using a waveform mixture algorithm from CryoSat-2 data

J. Im, Hyun‐cheol Kim, Sanggyun Lee, 2017 .

Intercomparison of Terrestrial Carbon Fluxes and Carbon Use Efficiency Simulated by CMIP5 Earth System Models

Sujong Jeong, J. Im, Sanggyun Lee, 2016, Asia-Pacific Journal of Atmospheric Sciences.

Chlorophyll-a concentration estimation using three difference bio-optical algorithms, including a correction for the low-concentration range: the case of the Yiam reservoir, Korea

Moon S. Kim, Y. Pachepsky, J. Im, 2016 .

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

J. Im, P. Sismanidis, Dongjin Cho, 2022, Int. J. Appl. Earth Obs. Geoinformation.

Estimation of shrub willow biophysical parameters across time and space from Sentinel-2 and unmanned aerial system (UAS) data

Lindi J. Quackenbush, T. Volk, J. Im, 2022, Field Crops Research.

Multi-Platform LiDAR for Non-Destructive Individual Aboveground Biomass Estimation for Changbai Larch (Larix olgensis Henry) Using a Hierarchical Bayesian Approach

J. Im, Man Wang, Yinghui Zhao, 2022, Remote. Sens..

Development of model output statistics based on the least absolute shrinkage and selection operator regression for forecasting next‐day maximum temperature in South Korea

J. Im, Dongjin Cho, Myong-in Lee, 2022 .

The Estimation of Arctic Air Temperature in Summer Based on Machine Learning Approaches Using IABP Buoy and AMSR2 Satellite Data

J. Im, Hyun‐cheol Kim, Sanggyun Lee, 2018 .

Developing a New Hourly Forest Fire Risk Index Based on Catboost in South Korea

J. Im, C. Kwon, E. Jang, 2020, Applied Sciences.

Advances in Remote Sensing-Based Disaster Monitoring and Assessment

Wataru Takeuchi, Jungho Im, Haemi Park, 2019, Remote. Sens..

Earth observations and geographic information science for sustainable development goals

J. Im, 2020 .

An automatic region-based image segmentation algorithm for remote sensing applications

J. R. Jensen, J. Im, Zhongwu Wang, 2010, Environ. Model. Softw..

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

Jungho Im, Cheolhee Yoo, Dongjin Cho, 2020 .

Fusion of feature selection and optimized immune networks for hyperspectral image classification of urban landscapes

Jungho Im, Zhenyu Lu, Jinyoung Rhee, 2012 .

Spatial and diurnal variations of storm heights in the East Asia summer monsoon: storm height regimes and large-scale diurnal modulation

J. Im, Jung-Moon Yoo, Myung‐Sook Park, 2016, Climate Dynamics.

Synergistic use of QuickBird multispectral imagery and LIDAR data for object-based forest species classification

Jungho Im, Yinghai Ke, Lindi J. Quackenbush, 2010 .

Support vector machines in remote sensing: A review

Jungho Im, Giorgos Mountrakis, Caesar Ogole, 2011 .

Estimation of Ground-level PM 10 and PM 2.5 Concentrations Using Boosting-based Machine Learning from Satellite and Numerical Weather Prediction Data

J. Im, Miae Kim, Seohui Park, 2021 .

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

J. Im, Dongjin Cho, C. Yoo, 2022, Remote. Sens..

Icing Detection over East Asia from Geostationary Satellite Data Using Machine Learning Approaches

Jungho Im, Pak Wai Chan, Seongmun Sim, 2018, Remote. Sens..

Effects of seasonal variations on sediment-plume streaks from dredging operations.

Van Sy Pham, N. Kim, J. Im, 2018, Marine pollution bulletin.

An automated binary change detection model using a calibration approach

Michael E. Hodgson, John R. Jensen, Jungho Im, 2007 .

Building type classification using spatial and landscape attributes derived from LiDAR remote sensing data

Michael E. Hodgson, Jungho Im, Zhenyu Lu, 2014 .

Machine Learning Approaches for Detecting Tropical Cyclone Formation Using Satellite Data

Jungho Im, Minsang Kim, Myong-In Lee, 2019, Remote. Sens..

Estimation of surface-level NO2 and O3 concentrations using TROPOMI data and machine learning over East Asia.

J. Im, Hyun-Jung Choi, Chang-Keun Song, 2021, Environmental pollution.

On the use of machine learning based ensemble approaches to improve evapotranspiration estimates from croplands across a wide environmental gradient

Jungho Im, Qi Liu, Kaniska Mallick, 2021 .

Retrieval of Melt Ponds on Arctic Multiyear Sea Ice in Summer from TerraSAR-X Dual-Polarization Data Using Machine Learning Approaches: A Case Study in the Chukchi Sea with Mid-Incidence Angle Data

Duk-jin Kim, Jungho Im, Hyangsun Han, 2016, Remote. Sens..

Enhanced greenhouse gas emission from exposed sediments along a hydroelectric reservoir during an extreme drought event

Ji‐Hyung Park, J. Im, Seunghoon Lee, 2016 .

Optimizing the binary discriminant function in change detection applications

Michael E. Hodgson, John R. Jensen, Jungho Im, 2008 .

Atmospheric-correction-free red tide quantification algorithm for GOCI based on machine learning combined with a radiative transfer simulation

Wonkook Kim, J. Im, Y. J. Kim, 2023, ISPRS Journal of Photogrammetry and Remote Sensing.

Comparison between convolutional neural networks and random forest for local climate zone classification in mega urban areas using Landsat images

Cheolhee Yoo, Jungho Im, Daehyeon Han, 2019, ISPRS Journal of Photogrammetry and Remote Sensing.

Classification and Mapping of Paddy Rice by Combining Landsat and SAR Time Series Data

Jungho Im, Hyangsun Han, Cheolhee Yoo, 2018, Remote. Sens..

Detection and Monitoring of Forest Fires Using Himawari-8 Geostationary Satellite Data in South Korea

Jungho Im, Jongmin Yoon, Dong-Won Lee, 2019, Remote. Sens..

Forest and Crop Leaf Area Index Estimation Using Remote Sensing: Research Trends and Future Directions

Jin Xu, Jungho Im, Lindi J. Quackenbush, 2020, Remote. Sens..

Prediction of Drought on Pentad Scale Using Remote Sensing Data and MJO Index through Random Forest over East Asia

Jungho Im, Daehyun Kang, Myong-In Lee, 2018, Remote. Sens..

Air Quality Forecasts Improved by Combining Data Assimilation and Machine Learning With Satellite AOD

J. Im, Myong-in Lee, Seohui Park, 2021, Geophysical Research Letters.

Airborne Lidar Sampling Strategies to Enhance Forest Aboveground Biomass Estimation from Landsat Imagery

Jungho Im, Siqi Li, Lindi J. Quackenbush, 2019, Remote. Sens..

Downscaling of MODIS One Kilometer Evapotranspiration Using Landsat-8 Data and Machine Learning Approaches

Jungho Im, Huili Gong, Yinghai Ke, 2016, Remote. Sens..

A deep learning model using geostationary satellite data for forest fire detection with reduced detection latency

J. Im, C. Kwon, E. Jang, 2022, GIScience & Remote Sensing.

Remote sensing of sea surface salinity: challenges and research directions

J. Im, Y. J. Kim, Daehyeon Han, 2023, GIScience & Remote Sensing.

Impact of seasonal vertical stratification on the dispersion patterns of dredging plumes off the south coast of Korea

J. Im, Youngsun Kim, H. K. Ha, 2018 .

Global sea surface salinity via the synergistic use of SMAP satellite and HYCOM data based on machine learning

J. Im, Y. J. Kim, E. Jang, 2022, Remote Sensing of Environment.

Comparative Assessment of Various Machine Learning‐Based Bias Correction Methods for Numerical Weather Prediction Model Forecasts of Extreme Air Temperatures in Urban Areas

Cheolhee Yoo, Dongjin Cho, Jungho Im, 2020, Earth and Space Science.

Downscaling of AMSR-E soil moisture with MODIS products using machine learning approaches

Jungho Im, Jinyoung Rhee, Minha Choi, 2016, Environmental Earth Sciences.

Estimation of Fugacity of Carbon Dioxide in the East Sea Using In Situ Measurements and Geostationary Ocean Color Imager Satellite Data

Jungho Im, Young-Gyu Park, Geun-Ha Park, 2017, Remote. Sens..

Improvement of satellite-based estimation of gross primary production through optimization of meteorological parameters and high resolution land cover information at regional scale over East Asia

J. Im, Miae Kim, Haemi Park, 2019, Agricultural and Forest Meteorology.

Short-Term Forecasting of Satellite-Based Drought Indices Using Their Temporal Patterns and Numerical Model Output

Jungho Im, Jungho Im, Daehyeon Han, 2020, Remote. Sens..

Prediction of Sea Surface Temperature and Detection of Ocean Heat Wave in the South Sea of Korea Using Time-series Deep-learning Approaches

J. Im, Y. J. Kim, Sumin Park, 2020 .

A Novel Tropical Cyclone Size Estimation Model Based on a Convolutional Neural Network Using Geostationary Satellite Imagery

J. Im, I. Moon, You-Hyun Baek, 2022, Remote. Sens..

Tropical Cyclone Intensity Estimation Using Multi-Dimensional Convolutional Neural Networks from Geostationary Satellite Data

Seongmun Sim, Juhyun Lee, Jungho Im, 2019, Remote. Sens..

Estimation of All-Weather 1 km MODIS Land Surface Temperature for Humid Summer Days

Naoto Yokoya, Junshi Xia, Cheolhee Yoo, 2020, Remote. Sens..

Evaluating five remote sensing based single-source surface energy balance models for estimating daily evapotranspiration in a humid subtropical climate

Jungho Im, Lindi J. Quackenbush, Stephen B. Shaw, 2016, Int. J. Appl. Earth Obs. Geoinformation.

Arctic Sea Ice Thickness Estimation from CryoSat-2 Satellite Data Using Machine Learning-Based Lead Detection

Jungho Im, Miae Kim, Jinwoo Kim, 2016, Remote. Sens..

Landfast sea ice monitoring using multisensor fusion in the Antarctic

Jungho Im, Hyangsun Han, Miae Kim, 2015 .

A new optimized algorithm for automating endmember pixel selection in the SEBAL and METRIC models

Jungho Im, Nishan Bhattarai, Lindi J. Quackenbush, 2017 .

Improved Tropical Cyclone Track Simulation over the Western North Pacific using the WRF Model and a Machine Learning Method

J. Im, D. Cha, Kyoungmin Kim, 2023, Asia-Pacific Journal of Atmospheric Sciences.

Improving Local Climate Zone Classification Using Incomplete Building Data and Sentinel 2 Images Based on Convolutional Neural Networks

Cheolhee Yoo, Yeonsu Lee, Dongjin Cho, 2020, Remote Sensing.

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

J. Im, C. Yoo, S. Jung, 2022, Remote. Sens..

Pre-trained feature aggregated deep learning-based monitoring of overshooting tops using multi-spectral channels of GeoKompsat-2A advanced meteorological imagery

J. Im, Miae Kim, Hyangsun Han, 2021, GIScience & Remote Sensing.

Improvement of SMAP sea surface salinity in river-dominated oceans using machine learning approaches

J. Im, Y. J. Kim, E. Jang, 2021 .

Estimation of Water Quality Index for Coastal Areas in Korea Using GOCI Satellite Data Based on Machine Learning Approaches

Jungho Im, Young-Gyu Park, Eunna Jang, 2016 .

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

J. Im, Dongjin Cho, C. Yoo, 2022, Weather and Climate Extremes.

Hyperspectral remote sensing analysis of short rotation woody crops grown with controlled nutrient and irrigation treatments

Jungho Im, John R. Jensen, Mark D. Coleman, 2009 .

Zooplankton and micronekton respond to climate fluctuations in the Amundsen Sea polynya, Antarctica

K. Arrigo, J. Im, Sophie Fielding, 2019, Scientific Reports.

Forest Biomass and Carbon Stock Quantification Using Airborne LiDAR Data: A Case Study Over Huntington Wildlife Forest in the Adirondack Park

Jungho Im, Tao Liu, Lindi J. Quackenbush, 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

A Novel Framework of Detecting Convective Initiation Combining Automated Sampling, Machine Learning, and Repeated Model Tuning from Geostationary Satellite Data

Jungho Im, Hyangsun Han, Seongmun Sim, 2019, Remote. Sens..

A Volumetric Approach to Population Estimation Using Lidar Remote Sensing

Jungho Im, Lindi J. Quackenbush, Zhenyu Lu, 2011 .

Spatial Downscaling of MODIS Land Surface Temperature: Recent Research Trends, Challenges, and Future Directions

J. Im, Dongjin Cho, Sumin Park, 2020 .

Detection of Convective Initiation Using Meteorological Imager Onboard Communication, Ocean, and Meteorological Satellite Based on Machine Learning Approaches

Jungho Im, Hyangsun Han, Miae Kim, 2015, Remote. Sens..

Comparison of Five Spatio-Temporal Satellite Image Fusion Models over Landscapes with Various Spatial Heterogeneity and Temporal Variation

Qi Yin, Maolin Liu, Yinghai Ke, 2019, Remote. Sens..

Fine Particulate Concentrations Over East Asia Derived from Aerosols Measured by the Advanced Himawari Imager Using Machine Learning

Jhoon Kim, J. Im, Myungje Choi, 2023, SSRN Electronic Journal.

A novel transferable individual tree crown delineation model based on Fishing Net Dragging and boundary classification

Jungho Im, Lindi J. Quackenbush, Tao Liu, 2015 .

Effects of national forest inventory plot location error on forest carbon stock estimation using k-nearest neighbor algorithm

Jaehoon Jung, Jungho Im, Joon Heo, 2013 .

Aerosol data assimilation and forecast using Geostationary Ocean Color Imager aerosol optical depth and in-situ observations during the KORUS-AQ observing period

Jhoon Kim, J. Im, Chang-Keun Song, 2021, GIScience & Remote Sensing.

Detection of Tropical Overshooting Cloud Tops Using Himawari-8 Imagery

Jungho Im, Miae Kim, Haemi Park, 2017, Remote. Sens..

Development of MOS based on LASSO Regression for Forecasting Next‐day Maximum Temperature in South Korea

J. Im, Dongjin Cho, Myong-in Lee, 2022, Quarterly Journal of the Royal Meteorological Society.

AMSR2 soil moisture downscaling using multisensor products through machine learning approach

Jungho Im, Jinyoung Rhee, Seonyoung Park, 2015, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Towards accurate individual tree parameters estimation in dense forest: optimized coarse-to-fine algorithms for registering UAV and terrestrial LiDAR data

J. Im, Yinghui Zhao, Zhen Zhen, 2023, GIScience & Remote Sensing.

Synergistic Use of Hyperspectral UV-Visible OMI and Broadband Meteorological Imager MODIS Data for a Merged Aerosol Product

Jungho Im, Jungho Im, Sujung Go, 2020, Remote. Sens..

Detection of deterministic and probabilistic convection initiation using Himawari-8 Advanced Himawari Imager data

Jungho Im, Hyangsun Han, Eunna Jang, 2016 .

Wildfire Severity Mapping Using Sentinel Satellite Data Based on Machine Learning Approaches

J. Im, Yoojin Kang, Sungyong Kim, 2020 .

Remote Sensing-based House Value Estimation Using an Optimized Regional Regression Model

Jungho Im, Lindi J. Quackenbush, Zhenyu Lu, 2013 .

Indicators for separating undesirable and well-delineated tree crowns in high spatial resolution images

Jungho Im, Lindi J. Quackenbush, L. Zhang, 2012 .

Prediction of the Arctic Oscillation in boreal winter by dynamical seasonal forecasting systems

S. Schubert, J. Im, A. Arribas, 2014 .

Population estimation based on multi-sensor data fusion

Jungho Im, Zhenyu Lu, Lindi J. Quackenbush, 2010 .

Improvement of Tropical Cyclone Track Forecast over the Western North Pacific Using a Machine Learning Method

Jungho Im, Jungho Im, Kyoungmin Kim, 2020 .

Precipitation nowcasting using ground radar data and simpler yet better video prediction deep learning

J. Im, Daehyeon Han, Y. Shin, 2023, GIScience & Remote Sensing.

Different Spectral Domain Transformation for Land Cover Classification Using Convolutional Neural Networks with Multi-Temporal Satellite Imagery

Junghye Lee, Jungho Im, Daehyeon Han, 2020, Remote. Sens..

Object‐based change detection using correlation image analysis and image segmentation

John R. Jensen, Jungho Im, J. A. Tullis, 2008 .

Retrieval of Total Precipitable Water from Himawari-8 AHI Data: A Comparison of Random Forest, Extreme Gradient Boosting, and Deep Neural Network

Jungho Im, Myoung-Hwan Ahn, Su Jeong Lee, 2019, Remote. Sens..

Convolutional Neural Network-Based Land Cover Classification Using 2-D Spectral Reflectance Curve Graphs With Multitemporal Satellite Imagery

Jungho Im, Junghee Lee, Miae Kim, 2018, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

The MODIS ice surface temperature product as an indicator of sea ice minimum over the Arctic Ocean

Lindi J. Quackenbush, J. Im, D. Kang, 2014 .

Development of a remote sensing change detection system based on neighborhood correlation image analysis and intelligent knowledge-based systems

John R. Jensen, Jungho Im, J. A. Tullis, 2005, Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05..

Vegetation Cover Analysis of Hazardous Waste Sites in Utah and Arizona Using Hyperspectral Remote Sensing

John R. Jensen, Jungho Im, Ryan R. Jensen, 2012, Remote. Sens..

Road Extraction: A Review of LiDAR-Focused Studies

Jungho Im, Lindi J. Quackenbush, Yue Zuo, 2013 .

Estimating High Spatial Resolution Air Temperature for Regions with Limited in situ Data Using MODIS Products

Jungho Im, Jinyoung Rhee, J. Im, 2014, Remote Sensing.

Hydrological Drought Assessment and Monitoring Based on Remote Sensing for Ungauged Areas

J. Im, J. Rhee, Jong Pil Kim, 2014 .

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

Jungho Im, Seongmun Sim, Cheolhee Yoo, 2021, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Zooplankton and micronekton respond to climate fluctuations in the Amundsen Sea polynya, Antarctica

K. Arrigo, J. Im, Sophie Fielding, 2019, Scientific Reports.

A Novel Bias Correction Method for Soil Moisture and Ocean Salinity (SMOS) Soil Moisture: Retrieval Ensembles

Jungho Im, Ju Hyoung Lee, Ju Hyoung Lee, 2015, Remote. Sens..

An improved tree crown delineation method based on live crown ratios from airborne LiDAR data

Jungho Im, Junghee Lee, Fang Fang, 2016 .

An Advanced Operational Approach for Tropical Cyclone Center Estimation Using Geostationary-Satellite-Based Water Vapor and Infrared Channels

J. Im, Y. Shin, Seongmun Sim, 2022, Remote. Sens..