The Reducing Emissions from Deforestation and Degradation (REDD+) scheme is close to becoming operational (COP, 2014). However, the full potential for using satellite images for large-scale forest monitoring has still not been realized, 40 years after the first Landsat satellite was launched. In tropical countries, even national forest area surveys may be held only every 20 years. This will have to change if the REDD+ scheme of the UN Framework Convention on Climate Change (UNFCCC) is to become operational, since national Monitoring, Reporting and Verification (MRV) Systems will be needed to monitor reductions in rate of deforestation and forest degradation, and associated rates of carbon emissions to provide reliable evidence for securing international compensation. This project will address these challenges by: (a) identifying and analyzing the organizational and technological difficulties which developing countries have already encountered in making their preparations for participating in REDD+; (b) studying the difficulties which developing countries encounter in establishing actual REDD+ programmes from 2014 onwards; and (c) proposing generic organizational and technological solutions which can be adopted by all developing countries participating in REDD+.
2019, PhD. (Physical Geography), School of Geography, Faculty of Environment, University of Leeds, Leeds, U.K., (Thesis: Identifying and Overcoming Constraints on Establishing Feasible National REDD+ Measurement, Reporting, and Verification Systems)
2014, MSc. (Remote Sensing and GIS), Department of Geography, College of Social Sciences, Kyungpook National University, Daegu, South Korea, (Dissertation: Comparative Evaluation of Carbon Stock Changing Trends between Mt. Geumgang and Seorak Watersheds : from UN-REDD Registration Perspective)
2011, BEng. (Architectural Engineering), School of Architecture, Yeungnam University, Gyeongbuk, South Korea
2012~2014, Developing Remote Sensing Technique to Accommodate UN-REDD MRV in Geumgang Mountain, Korean Research Foundation.
2012~2014, Comparative Evaluation of GHG Emission in Northeast Asia using GOSAT, Korean Research Foundation.
Jung, B. and Kim, J. 2019. Application and Evaluation of Self-Organising Map-based Spatial Clustering for Regional Policy Recommendations, Journal of the Korean Geographical Society, 54 (3) pp.387~404 (Corresponding author)
Kim J. and Um J. S. 2013. Comparative Evaluation between Administrative and Watershed Boundary in Carbon Sequestration Monitoring -Towards UN-REDD for Mt. Geum-gang of North Korea, Journal of Environmental Impact Assessment, 22 (5) pp.439~454
Kim J. and Um J. S. 2013. Exploring NDVI Gradient varying across Landform and Solar intensity using GWR: a Case Study of Mt. Geumgang in North Korea, Journal of the Korean Society for Geospatial Information System, 21 (4) pp.3-12
Kim J. and Um J. S. 2012. Comparative Evaluation between Cool Roof and Green Roof in terms of Installation Cost: a Case Study of KNU Campus, Journal of Environmental Impact Assessment, 21 (6) pp.927~939
Kim J. 2013. The selection of unit area for assessment of carbon stock, The Korean geographical Society annual conference 2013, p.494
Kim J. and Um J. S. 2012. A Study on the Estimate of Installation Cost of Cool Roof and Green Roof, Korean Society of Environmental Impact Assessment annual conference 2012, Environmental impact assessment system-history and prospect, pp.150~151
Presentation and Invited Talk
2018, UNEP-WCMC (UN Environment World Conservation Monitoring Centre, Cambridge, U.K.), “Constrained self-optimisations: the evolution of national forest monitoring systems in Cambodia and Indonesia”
2018, BEIS (Department for Business, Energy and Industrial Strategy, London, U.K.), “Constraints on establishing forest monitoring systems in developing countries”
2015, School of Geography PGR conference, Leeds, U.K., “Identifying and overcoming constraints on establishing feasible National REDD+ Measurement, Reporting and Verification Systems”
Certified Training and Research Visit
Dec. 2015~Mar 2016, Machine Learning for Satellite Image Classification, UNIST (Ulsan National Institute of Science and Technology)
Oct. 2015, SAR principles and Application, Carl-Cranz-Gesellschaft e.V., DLR (Deutsches Zentrum für Luft- und Raumfahrt, Munich).
Jun. 2015, OpenForis for Collect Earth project, UN-FAO (Food and Agriculture Organization of the United Nations)
Digital Image Processing and Spatial Analysis by using Erdas Imagine, ENVI, ArcGIS, Python, Matlab, R and other Statistical Packages.
REDD+ MRV, Remote Sensing, Geograpic Information System, Technology Adoption, Information Production, Climate Change, Developing Countries, Forest Carbon Stocks and Changes, National Forest Monitoring Systems, International Environmental Policy, Science-Policy Interface, and Organisational Change
Research groups and institutes
- Ecology and Global Change
- Centre for Spatial Analysis and Policy