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연구실
농4-228 작물환경생태학실험실
교수전공 및 연구분야
작물생육 모델링 및 원격탐사
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(062) 530 - 2053
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jonghan.ko@jnu.ac.kr
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RESEARCH OBJECTIVE

My research goal is to incorporate crop modeling and remote sensing efforts into food security and agricultural decision support. My approach would be interdisciplinary, but my focus would be on delivering crop modeling and remote sensing for developing resilient crop production technologies and improving risk management of crops under stress.

EDUCATION

Ph. D. (2004) in Agronomy, Texas Tech University, Lubbock, Texas, USA. Advisor: Dr. Stephan J. Maas. Dissertation:Development of a cotton crop model that uses remote sensing data.

M. Agriculture (1998) in Agronomy, Kangwon National University, Chuncheon, Republic of Korea. Advisor: Dr. Yun Su Lee. Thesis: Bioassay and analysis of allelopathic substances in rice (Oryza sativa L.) husks.

B. Agriculture (1993) in Agronomy, Kangwon National University, Chuncheon, Republic of Korea.

WORK EXPERIENCE

 

Aug. 23, 2010 – present, Assistant/Associate Professor, Crop Modeling & Remote sensing, Chonnam Nat’l Univ., Buk-gu, Gwangju, ROK. Crop growth monitoring: development of a regional and global crop monitoring system. 

Nov. 23, 2009 – Aug. 22, 2010, Research Scientist, Environ. Remote Sensing Lab., Kangwon Nat’l Univ., Chuncheon, Kangwon, ROK. Advisor: Dr. Shinku Kang. Environmental ecosystems monitoring: 1) development of a regional and global crop monitoring system and 2) simulation of small to medium watersheds using RHESSys.

Aug. 31, 2008 Nov. 18, 2009 , Research Agronomist, USDA-ARS Ag. Sys. Res. Unit, Ft. Collins, Colorado, USA. Advisor: Dr. Lajpat R. Ahuja. Regional water assessments under climate change scenarios: simulation study on the effects of past climate and projected change on water availability, water demand of crops, and grain-crop production in the Great Plains; down-scaling of regional climate change variables in space and time for use in a cropping system model.

Mar. 2, 2006 Aug. 28, 2008 , Assistant Research Scientist, Texas A&M AgriLife Research and Extension Center, Uvalde, Texas, USA. Advisor: Dr. Giovanni Piccinni. Crop modeling: developing decision support systems for irrigation management of crops. Developing irrigation management tools: determination of crop coefficients to estimate crop water requirements and improve irrigation efficiency of crops. Crop stress physiology: evaluate plant response to limited irrigation regimes and agronomic practices leading to water conservation.

Feb. 1, 2005 Feb. 28, 2006 ,Post Doctoral Research Associate, USDA-ARS Plant Stress and Water Conservation laboratory, Lubbock, Texas, USA.Advisor: Dr. Steve Mauget.Crop modeling study for managing winter wheat based on ENSO forecast information over the Southern High Plains.

Sep. 1, 2004 Jan. 31, 2005 , Post Doctoral Research Associate, Texas Tech University, Lubbock, Texas, USA. Advisor: Dr. Stephan J. Maas. Crop modeling for the Yield Tracker project funded by USDA-Cooperative State Research, Extension, and Education Service.

Aug. 3, 2001 Aug. 31, 2004 , Research Assistant, Texas Tech University, Lubbock, Texas, USA. Field study and development of a cotton crop model for the Yield Tracker project under the direction of Dr. Stephan J. Maas, Texas Tech University Plant and Soil Science Department.

Jul. 1, 1992 July 5, 2001 , Agricultural Researcher, Kangwon Agricultural Research and Extension Services (KARES),Chuncheon, S. Korea. Field studies on lowland rice: yield forecasting, photosynthesis, seedling media, and weed studies.

 

 

TEACHING EXPERIENCE


 

Undergraduate classes: Crop Growth Modeling, Fall since 2010; Crop Environmental Remote Sensing, Spring since 2011; Crop Field Practice, Fall since 2010; Environmental Plant Ecology, Fall since 2011; Upland Crops, Spring since 2014; Biometry, Spring 2011-2013; Practical Agronomy 101, Fall 2011-2012

Graduate classes: Advanced Crop Modeling, Fall since 2011; Advanced Crop Environmental Remote Sensing, Spring since 2012; Specific Topics in Upland Crops, Spring, 2015; Advanced Crop Ecology, Spring 2012

RESEARCH PROJECTS

 

 

May 2016 – Dec. 2016, Determination and verification of radiometric information of absolute emittance based on field observation for a multipurpose satellite (PI: J. Ko) funded by Kor. Aerospace Res. Inst.

Nov. 2015 – Oct. 2018, Development of a spatial information delivery system for crop growth and carbon flux based on satellite image fusion technology (PI: J. Ko) funded by Kor. Res. Found.

Jan. 2014 – Dec. 2016, Assessment of climate change (RCP scenario) impact on productivity and suitable cultivation region of barley and adaptation technologies using the barely growth simulation model (PI: J. Ko) funded by Kor. Agric. Develop. Admin.

Jun. 2013 – May 2016, Development of a photosynthetic algorithm-based crop growth model (PI: J. Ko) funded by Kor. Res. Found.

May 2012 – Apr. 2014, Construction of atmospheric correction modules for high-resolution satellite images and development of an information delivery system of crop production (PI: J. Ko) funded by Kor. Aero. Res. Inst.

May 2011 – Apr. 2014, Development of yield forecast system using remote sensing information (PI: J. Ko) funded by Kor. Res. Found.

Jan. 2011 – Dec. 2012, Monitoring crop growth using Light Emitting Diode (LED) (PI: J. Ko) funded by Chonnam Nat’l Univ.

Feb. 2010 – Feb. 2013, Regional and Global Crop Monitoring System using MODIS (PI: S. Kang) funded by Kor. Agric. Develop. Admin.

Nov. 2009 – Feb. 2012, Development of Forest Disaster Monitoring System (PI: S. Kang and J. Lee) by Kor. Forest Admin.

Aug. 8, 2008 Aug. 8, 2013 , Ag. Sys. Modeler, NP 216 – Agricultural System Competitiveness and Sustainability: Enhanced system models and decision support tools to optimize water limited agriculture (PI: L. Ma, L.R. Ahuja, and G. Dunn) funded by USDA-ARS.

Mar. 2, 2006 Aug. 28, 2008 , Research Scientist, Developing decision support systems for ‘Precision Irrigators Network: on-farm research and demonstration to evaluate irrigation scheduling tools in the Wintergarden region’ (PI: G. Piccinni) funded ($250,000 for 2 yr) by Rio Grande Basin Initiative.

May 1, 2005 Feb. 28, 2006 ,Research Associate, Crop modeling for ‘Estimating the Value of Seasonal Climate Forecast Information in Managing Cold Season Forage’ (PI: S. Mauget) funded ($55,270 for 2 yr) by USDA-ARS Plant Stress Lab.

Aug. 3, 2001 April 30, 2005 , Research Assistant, Crop modeling for ‘Yield Tracker: a yield mapping and prediction information delivery system’ (PI: S.J. Maas) funded ($800,606 for 4 yr)by USDA-CSREES.

 

PUBLICATIONS: Selected Scientific Journals (career total of 45: SCI 31)

 

M. Kim, J. Ko, S. Jeong, J. Yeom, and H. Kim. 2017. Monitoring canopy growth and grain yield of paddy rice in South Korea by using the GRAMI model and high spatial resolution imagery.GIScience & Remote Sensing 54(4): 534-551.

S. Jeong, J. Ko, M. Kim, and J. Kim. 2016. Construction of an unmanned aerial vehicle remote sensing system for crop monitoring. J. Applied Remote Sensing 10(2): 026027-1-14.

J. Yeom, J. Ko, and H. Kim. 2015.Application of GOCI-derived vegetation index profiles to estimation of paddy rice yield using the GRAMI rice model. Computers and Electronics in Agriculture 118: 1-8.

J. Ko, S. Jeong, J. Yeom, H. Kim, J. Ban, and H. Kim. 2015. Simulation and mapping of rice growth and yield based on remote sensing. J. Applied Remote Sensing 9(1): 096067:1-17.

S. Jo, J. Ko, I. Eom, and S. Kang. 2015. Development of a light-emitting-diode-based bidirectional active remote-sensing system for monitoring crop growth. I. J. Remote Sensing 36(5): 1424-1438.

H. Kim, J. Ko, S. Kang, and J. Tenhunen. 2013. Impacts of Climate Change on paddy rice yield in a temperate climate. Global Change Biology 19: 548-562.

J. Ko, L. Ahuja, S. Saseendran, T. Green, L. Ma, D. Nielsen, and C. Walthall. 2012. Climate change impacts on dryland cropping systems in the Central Great Plans, USA. Climatic Change 111: 445-472.

J. Ko, L. Ahuja, B. Kimball, A. Saseendran, L. Ma, T. Green, A. Ruane, G. Wall, P. Pinter, and D. Bader. 2010. Simulation of free air CO2 enriched wheat growth and interactions with water, nitrogen, and temperature. Agri. Forest Meteorology 150: 1331-1346.

J. Ko, G. Piccinni, T. Marek, and T. Howell. 2009. Determination of growth-stage-specific crop coefficients (Kc) of cotton and wheat. Agri. Water Manag. 96(12): 1691-1697.

S. Mauget, J. Zhang, and J. Ko. 2009. The value of ENSO forecast information to dual-purpose winter wheat production in the U.S. Southern High Plains. J. Applied Meteo. & Climato. 48(10): 2100-2117.

J. Ko, G. Piccinni, and E. Steglich. 2009. Using EPIC simulation model to manage irrigated crops.Agri. Water Manag. 96(9): 1323-1331.

J. Ko and G. Piccinni. 2009. Characterizing leaf gas exchange responses of cotton under full and limited irrigation conditions. Field Crops Research 112(1): 77-89.

J. Ko, G. Piccinni, W. Guo, and E. Steglich. 2009. Parameterization of EPIC crop model for simulation of cotton growth in South Texas. J. Agri. Sci. 147(2): 169-178.

J. Ko and G. Piccinni. 2008. Corn yield responses under crop evapotranspiration-based irrigation management. Agri. Water Manag. 96(5): 799-808.

S. Mauget and J. Ko. 2008. Two-tier statistical forecast method for agricultural and resource management simulations. J. Applied Meteorology and Climatology 47(6): 1573-1589.

J. Ko, S.J. Maas, R.J. Lascano, and D. Wanjura. 2005. Modification of the GRAMI model for cotton. Agron. J. 97(5): 1374-1379.