Browse > Article
http://dx.doi.org/10.12672/ksis.2015.23.2.011

Evaluating Monitoring Condition for Forest Carbon Offset Project to Demonstrate CSR in North Korea  

Joo, Seung-Min (Dept. of Spatial Information, Kyungpook National University)
Heo, ManHo (Dept. of Political Science and Diplomacy, Kyungpook National University)
Kim, Jong-Dall (School of Economics and Trade, Kyungpook National University)
Um, Jung-Sup (Dept. of Geography, Kyungpook National University)
Publication Information
Abstract
Abstract Monitoring is the most critical element in implementing "forest carbon offset project" to enhance the visibility of CSR (Corporate Social Responsibility) in North Korea. This study is intended to explore monitoring potential in terms of forest carbon offset project using satellite image for Baekdu mountain of North Korea. The permanent record of standard satellite remote sensing system demonstrated its capability of presenting area-wide visual evidences of monitoring conditions in Mt. Baekdu mountain of North Korea (site suitability, carbon stock by forest biomass growth, carbon emission by forest biomass loss, deforestation and degradation, environmental, social and economic impact specified in the Carbon Sequestration Law). It doesn't seem very difficult to comply with monitoring requirements for "the forest carbon offset project" due to the probative value of satellite data. Therefore, it could be considerable or realistic approach to utilize CSR based forest carbon offset project as a point of reform and open-door in North Korea. It is anticipated that this research output could be used as a valuable reference for Korea-based enterprises to ensure monitoring potentials using satellite image in exploring forest carbon offset project sites in North Korea.
Keywords
Forest Carbon Offset Project; CSR (Corporate Social Responsibility); Monitoring; Satellite image; North Korea;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
연도 인용수 순위
1 Joo, S. M; Um, J. S. 2014, Exploring Sub-watershed suitable to UN-REDD/AR-CDM by Comparative Evaluation of Carbon Stock in Baekdu Mountain, Journal of Korea Spatial Information Society, 22(2):1-9.
2 Kang, H. S. 2003, North Korea forest ecosystem study on sustainable management, journal of North Korea and the unification-related metabolic research, 1:3-46.
3 Kang, S; Doh, S; Lee, D; Lee, D; Jin, V. L.; Kimball, J. S. 2003, Topographic and climatic controls on soil respiration in six temperate mixedhardwood forest slopes, Korea. Global Change Biology, 9(10):1427-1437.   DOI
4 Khatun, K. 2013, Integrating national forestry initiatives in India with international climate change policy. Climate Policy, 13(3):384-402.   DOI
5 Kim, J. B; Jo, M. H; Kim, I. H; Kim, Y. G. 2003, A Study on the Extraction of Damaged Area by Pine Wood Nematode Using High Resolution IKONOS Satellite Images and GPS, Journal of Korea Forest Society, 92(4):362-366.
6 Kim, N. S. 2012, Detection of Vegetation Dieback Areas in the Subalpine Zone of Mt. Baekdu Using MODIS Time Series Data, Journal of Korea Geography Society, 47(6):825-835.
7 KOREA FOREST RESEARCH INSTITUTE, 2010, Forestry is the main species for greenhouse gas inventory-specific carbon emission coefficient.
8 Korea Forest Research Institute, 2013, Volunteering Intention in Carbon offset project design guidelines.
9 Korea Forest Service, 2012, The Revitalization of Formation and Management in Forest through Corporate Social Responsibility-Based on the development of intermediary organization-.
10 Kothke, M; Schroppel, B; Elsasser, P. 2014, National REDD+ reference levels deduced from the global deforestation curve. Forest Policy and Economics, 43:18-28.   DOI
11 Ministry of Government Legislation. 2013. Law on the maintenance and enhancement of carbon sink. (in Korean) [(http://www.law.go.kr/lsInfoP.do?lsiSeq=137332&efYd=20130323#0000(2013. 10. 11)].
12 Pagiola, S; Bosquet, B. 2009, Estimating the costs of REDD at the country level. Forest Carbon Partnership Facility, World Bank
13 Plugge, D; Kohl, M. 2012, Estimating carbon emissions from forest degradation: implications of uncertainties and area sizes for a REDD+ MRV system. Canadian Journal of Forest Research, 42(11):1996-2010.   DOI
14 Radeloff, V.C; Mladenoff, D.J; Boyce, M.S. 1999, Detecting jack pine budworm defoliation using spectral mixture analysis: separating effects from determinants, Remote Sensing of Environment, 69:156-169.   DOI
15 Radio free asia, 2012, North, indiscriminately deforestation deforestation seriously Baekdu, http://www.rfa.org/korean/in_focus/cutlumber-06282012154224.html.
16 Rosenqvist, A; Milne, A; Lucas, R; Imhoff, M; Dobson, C. 2003, A review of remote sensing technology in support of the Kyoto Protocol, Environmental Science & Policy, 6(5):441-455.   DOI
17 Sader, S. A; Hayes, D. J; Hepinstall, J. A; Coan, M; Soza, C. 2001, Forest change monitoring of a remote biosphere reserve. International Journal of Remote Sensing, 22(10):1937-1950.   DOI
18 Son, Y. M; Kim, R. H; Lee, K. H; Pyo, J. K; Kim, S. W; Hwang, J. S; Lee, S. J; Park, H. 2014, Carbon emission factors and biomass allometric equations by species in korea, Korea Forest Research Institute.
19 Tang, L; Shao, G; Piao, Z; Dai, L; Jenkins, M; Wang, S; Wu, G; Wu, J; Zhao, J. 2010, Forest degradation deepens around and within protected areas in East Asia Biological Conservation, 143(5):1295-1298.   DOI   ScienceOn
20 Song, M. K; Bae, J. S; Seol, M. H. 2014, Development of the Forest Carbon Sink Index on Afforestation and Reforestation Activities, Journal of Forest Society, 103(1):137-146.
21 Tian, Q; Zhang, B; He, H; Zhang, X; Cheng, W. 2013, Distribution pattern of neutral sugar in forest soils along an altitude gradient in Changbai Mountains, Northeast China, Chinese Journal of Applied Ecology, 24(7):1777-1783.
22 Um, D. B; Um, J. S. 2011, Exploring Registration Potential to UN-REDD in terms of MRV: A Case Study of Gaesung City, Journal of the Environmental Law Association, 33(3):30-63.
23 Yonhap news, 2002, 500-year-old tree colony in Baekdu Larix olgensis var koreana, http://www.tongilnews.com/news/articleView.html?idxno=20313.
24 Zhang, G; Ganguly, S; Nemani, R. R; White, M. A; Milesi, C; Hashimoto, H; Myneni, R. B. 2014, Estimation of forest aboveground biomass in California using canopy height and leaf area index estimated from satellite data. Remote Sensing of Environment, 151:44-56.   DOI
25 Horntvedt, R. 1993, Crown density of spruce trees related to needle biomass, Forest ecology and management, 59(3):225-235.   DOI
26 An, K. W; Lee, H. S; Seo, D. C; Shin, S. H. 1998, A Development of Damaged Spread Model of the Pine Needle Gall Midge Using Satellite Image Data, Journal of Korea Society for GeoSpatial Information System, 6(2):105-117.
27 Donald, P; Jeffrey, R; Gerald, G; Rodney, M; William, H. 2011, Assessment of MODIS NDVI time series data products for detecting forest defoliation by gypsy moth outbreaks, Remote Sensing of Environment, 115:427-437.   DOI
28 Han, K. J; Youn, Y. C. 2007, An Economic Feasibility Study of AR CDM project in North Korea, Journal of Forest Society, 96(3):235-244.
29 Jo, l. G. 2007, EABRN Biosphere Reserve Atlas DPR Korea, UNESCO-MAB Programme.
30 Joo, S. M; Um, J. S. 2014, Evaluating MRV Potentials based on Satellite Image in UN-REDD Opportunity Cost Estimation: A Case Study for Mt. Geum-gang of North Korea, Journal of Korea Spatial Information Society, 22(4):47-58.   DOI