Dr. Jungho Im

Associate Professor of Remote Sensing and GIS 
School of Urban and Environmental Engineering 
Ulsan National Institute of Science and Technology

1992.3.1-1998.2.26              Seoul National University         BS         Oceanography
1998.3.1-2000.2.26             Seoul National University         MCP     Environmental                                                                                                                              Management
2002.8.23-2006.5.6            University of South Carolina    PhD      Remote Sensing                                                                                                                                and GIS


2016 – present  ISPRS Journal of Photogrammetry and Remote Sensing  Editorial Board

2014 – present  GIScience and Remote Sensing  Editor-in-Chief

2012.6.1 – present UNIST  Assistant/Associate Professor

2007.7.1 - 2012.5.31 SUNY ESF Assistant Professor


          1. Yoo, C., Im, J.*, Park, S., Quackenbush, L. (2018). Estimation of daily maximum and 
              minimum air temperature in urban landscapes using MODIS time series satellite data.
              ISPRS Journal of Photogrammetry and Remote Sensing, 137, 149-162. 

     2. Jang, E., Im, J.*, Park, G., Park, Y. (2017). Estimation of fugacity of carbon dioxide in the East Sea using in 

         situ measurements and Geostationary Ocean Color Imager satellite data. Remote Sensing, 9, 821.

     3. Rhee, J., Im, J.* (2017). Meteorological drought forecasting for ungauged areas based on machine learning: using

         long-range forecast and remote sensing data.Agricultural and Forest Meteorology, 237, 105-122.

     4. Park, S., Im, J.*, Park, S., Rhee, J. (2017). Drought monitoring using high resolution soil moisture through

         machine learning approaches over the Korean peninsula.Agriculture and Forest Meteorology, 237, 257-269.

     5. Han, H., Im, J.*, Kim, H. (2016). Variations in ice velocity of Pine Island Glacier ice shelf evaluated using

         multispectral image matching of Landsat time series data.Remote Sensing of Environment, 186, 358-371.

    6. Park, M., Kim, M., Lee, M.*, Im, J.*, Park, S. (2016). Detection of tropical cyclone genesis via quantitative satellite                ocean surface wind pattern and intensity analyses using decision trees. Remote Sensing of Environment, 183, 205-214.

    7. Park, S., Im, J.*, Jang, E., Rhee, J. (2016). Drought assessment and monitoring through blending of multi-sensor indices         using machine learning approaches for different climate regions, Agriculture and Forest Meteorology, 216, 157-169.

    8. Liu, T., Im, J.*, Quackenbush, L.J. (2015). A novel transferable individual tree crown delineation model based on                   boundary classification. ISPRS Journal of Photogrammetry and Remote Sensing, 110, 34-47.

    9. Ke, Y., Im, J.*, Lee, J., Gong, H., Ryu, R. (2015). Characteristics of Landsat 8 OLI-derived NDVI by comparison with            multiple satellite sensors and in-situ observations. Remote Sensing of Environment, 164, 314-329.

    10. Kang, D., Im, J.**, Lee, M., Quackenbush, L.J. (2014). The MODIS ice surface temperature product as an indicator of            sea ice minimum over the Arctic Ocean. Remote Sensing of Environment, 152, 99-108.