• Journal of Korean Society of Forest Science
• /
• v.100 no.3
• /
• pp.315-326
• /
• 2011

In recent years, domestic and international interests focus on climate change, and importance of forest as carbon sink have been also increased. Particularly REDD+ mechanism expanded from REDD (Reduced Emissions from Deforestation and Degradation) is expected to perform a new mechanism for reducing greenhouse gas in post 2012. To conduct this mechanism, countries which try to get a carbon credit have to certify effectiveness of their activities by MRV (Measuring, Reporting and Verification) system. This study analyzed the approaches for detecting land cover change and estimating carbon stock by remote sensing technology which is considered as the effective method to develop MRV system. The most appropriate remote sensing for detection of land cover change is optical medium resolution sensors and satellite SAR (Synthetic Aperture Radar) according to cost efficiency and uncertainty assessment. In case of estimating carbon stock, integration of low uncertainty techniques, airborne LiDAR (Light Detection and Ranging), SAR, and cost efficient techniques, optical medium resolution sensors and satellite SAR, could be more appropriate. However, due to absence of certificate authority, guideline, and standard of uncertainty, we should pay continuously our attention on international information flow and establish appropriate methods. Moreover, to apply monitoring system to developing countries, close collaboration and monitoring method reflected characteristics of each countries should be considered.

• Journal of Environmental Impact Assessment
• /
• v.22 no.5
• /
• pp.439-454
• /
• 2013

UN-REDD (United Nations programme on Reducing Emissions from Deforestation and forest Degradation) is currently being emerged as one of important mechanism to reduce carbon dioxide in relation to the deforestation. Although administrative boundary has already gained world-wide recognition as a typical method of monitoring unit in the process of GHG (Greenhouse Gas) reduction project, this approach did not provide a realistic evidence in the carbon sequestering monitoring in terms of UN-REDD; the meaningful comparison of land use patterns among watershed boundaries, interpretation for distribution trends of carbon density, calculation of opportunity cost, leakage management, etc. This research proposes a comparative evaluation framework in a more objective and quantitative way for carbon sequestering monitoring between administrative and watershed boundary approaches. Mt. Geumgang of North Korea was selected as a survey objective and an exhaustive and realistic comparison of carbon sequestration between the two approaches was conducted, based on change detection using TM satellite images. It was possible for drainage boundary approach to identify more detailed area-wide patterns of carbon distribution than traditional administrative one, such as estimations of state and trends, including historical trends, of land use / land cover and carbon density in the Mt. Geumgang. The distinctive changing trends in terms of carbon sequestration were specifically identified over the watershed boundary from 4.0% to 34.8% while less than 1% difference was observed in the administrative boundaries, which were resulting in almost 21-22%. It is anticipated that this research output could be used as a valuable reference to support more scientific and objective decision-making in introducing watershed boundary as carbon sequestering monitoring unit.

• Journal of Forest and Environmental Science
• /
• v.28 no.3
• /
• pp.194-198
• /
• 2012

In order not to hinder the trend of promoting participatory forest management under the REDD-plus mechanism, we propose a simple method to support local stakeholders evaluating and selecting promising national programs as REDD-plus activities prior to the launch of activities. Program evaluation is done from the viewpoint of expectations for achieving (1) 'triple-benefit' consisting of emission reduction from mitigating deforestation and forest degradation, biodiversity conservation, and poverty alleviation, and (2) 'feasibility' when the programs would be practiced on the ground. The method is applicable for other countries.

• Journal of Energy Engineering
• /
• v.27 no.3
• /
• pp.63-67
• /
• 2018

The Democratic People's Republic of Korea, or the DPRK, is one of the poorest country in world facing chronic economic, energy and food security issues. Prolonged improper management of economic and natural resources has led to extreme poverty, malnutrition and critically vulnerability to nature's forces. Presistent deforestation and forest degradation in the DPRK has national and global consequences which has attracted attention from international community, whose offering financial and technical assistance for targeted interventions. Through REDD+ programs, the DPRK has the opportunity to establish its credentials as a responsible nation while improving the quality of life of its population. This study offers an enabling context under which suitable climate change action related to forestry can be identified and implemented in the DPRK.

• Journal of Forest and Environmental Science
• /
• v.34 no.6
• /
• pp.461-471
• /
• 2018

In this study, the deforestation and forest degradation areas have been obtained in Myanmar using a land cover lamp (LCM) and a tree cover map (TCM) to get the $CO_2$ potential reduction and the strength of occurrence was evaluated by using the geostatistical technique. By applying a multiple criteria decision-making method to the regions having high strength of occurrence for the $CO_2$ potential reduction for the deforestation and forest degradation areas, the priority was selected for candidate lands for REDD+ project. The areas of deforestation and forest degradation were 609,690ha and 43,515ha each from 2010 to 2015. By township, Mong Kung had the highest among the area of deforestation with 3,069ha while Thlangtlang had the highest in the area of forest degradation with 9,213 ha. The number of $CO_2$ potential reduction hotspot areas among the deforestation areas was 15, taking up the $CO_2$ potential reduction of 192,000 ton in average, which is 6 times higher than that of all target areas. Especially, the township of Hsipaw inside the Shan region had a $CO_2$ potential reduction of about 772,000 tons, the largest reduction potential among the hotpot areas. There were many $CO_2$ potential reduction hot spot areas among the forest degradation area in the eastern part of the target region and has the $CO_2$ potential reduction of 1,164,000 tons, which was 27 times higher than that of the total area. AHP importance analysis showed that the topographic characteristic was 0.41 (0.40 for height from surface, 0.29 for the slope and 0.31 for the distance from water area) while the geographical characteristic was 0.59 (0.56 for the distance from road, 0.56 for the distance from settlement area and 0.19 for the distance from Capital). Yawunghwe, Kalaw, and Hsi Hseng were selected as the preferred locations for the REDD+ candidate region for the deforestation area while Einme, Tiddim, and Falam were selected as the preferred locations for the forest degradation area.

• The Southeast Asian review
• /
• v.23 no.3
• /
• pp.49-92
• /
• 2013

In May 2010, Indonesia and Norway signed a Letter of Intent on "Cooperation on Reducing Greenhouse Gas Emissions from Deforestation and Forest Degradation(REDD)." In the LoI, Norway agreed to offer Indonesia a sum of USD 1 billion with a view to encourage Indonesia to significantly contribute to the successful implementation of REDD+. On 20 May 2011, correspondingly, Indonesia announced the 2011 'Forest Moratorium' (the Presidential Instruction No. 10/2011) which was valid for the following consecutive two years. By means of the 2011 'Forest Moratorium', Indonesia aimed at significant reductions in greenhouse gas emissions from deforestation, forest degradation and peatland conversion. In so doing, it also sought to improve forest governance. Meanwhile, concerned stakeholders also raised various questions about the effectiveness of the 'Forest Moratorium'. As an extension of the 2011 'Forest Moratorium', Indonesia announced the 2013 'Forest Moratorium'(the Presidential Instruction No. 6/2013) for another two-year period on 13 May 2013. Indonesia's 'Forest Moratorium' is concerned with stakeholders at various levels, who may play a role of significant 'agent' in the process of implementing the 'Forest Moratorium'. This mechanism of the 'Forest Moratorium' should be understood in the light of forest governance. Employing stakeholder approach, therefore, this article attempts to analyze Indonesia's 'Forest Moratorium' in the light of forest governance. In this regard, it analyzes the detailed contents of the 'Forest Moratorium', the process of making the 'Forest Moratorium', current development of the Indicative Moratorium Map for suspension of new concessions on forest land, and contesting views of various stakeholders. At the same time, it also talks about how 'weak' forest governance had influence upon Indonesia's 'Forest Moratorium'. In so doing, this article consequently attempts to evaluate Indonesia's 'Forest Moratorium' and also put it into perspective in terms of improving forest governance. The 2013 'Forest Moratorium' fundamentally represents a radical policy that is designed to suspend new concessions on forest conversion for another two-year period and its detailed contents attempt to reflect on various stakeholders from related industries and environmental NGOs. However, there are challenging factors in the process of implementing the 'Forest Moratorium', that is, 'weak' forest governance and also a discrepancy between forest planning maps designated by central and regional governments. The announcement of the 2013 'Forest Moratorium', as an extension of the 2011 'Forest Moratorium', may functionally strengthen and improve Indonesia's forest governance. However, at the same time, there is a practical limit due to the fact that it is merely a Presidential Instruction that lacks legal binding.

• Journal of Forest and Environmental Science
• /
• v.33 no.1
• /
• pp.39-48
• /
• 2017

With the growing global concern about climate change, relationship between carbon stock density and tree species has become important for international climate change mitigation programmes. In this study, 150 Quadrats were laid down to assess the diversity, biomass and carbon stocks in each of the forest ranges (Barkot Range, Lachchiwala Range and Thano Range) of Dehra Dun Forest Division in Doon Valley, Western Himalaya, India. Community level carbon stock density was analyzed using Two Way Indicator Species Analysis. Species Richness and Shannon Weiner index was correlated with the carbon stocks of Doon Valley. Positive and weak relationship was found between the carbon stock density and Shannon Weiner Index, and between carbon stock density and Species Richness.

• Journal of Forest and Environmental Science
• /
• v.34 no.2
• /
• pp.145-152
• /
• 2018

Quantification of Carbon stock has become in the contest of changing climate and mitigation potential of forests. Two different forest types, Dry Shiwalik Sal Forest and Moist Shiwalik Sal Forest in Barkot and Lachchiwala of Doon Valley, Western Himalaya are selected for the study. Volume equations, destructive sampling and laboratory analysis are done to estimate the carbon stock in different carbon pools like trees, shrubs, herbs and soils. Considerable variations are observed in terms of carbon stocks in different forest types. In Dry Shiwalik Sal Forest, carbon stock density varied between 129.81 and $136.00MgCha^{-1}$ while in Moist Shiwalik Sal Forest, carbon stock density ranged from 222.29 to $271.67MgCha^{-1}$. Tree species like Shorea robusta, Syzigium cumini, Miliusa velutina, Acacia catechu, and Mallotus philippensis had significant role in carbon sequestration. Shorea robusta had contributed highest in carbon stock due to highest density. Total of 2,338,280.165 Mg carbon stock was estimated in all the forest types.

• Journal of Cadastre & Land InformatiX
• /
• v.46 no.2
• /
• pp.27-42
• /
• 2016

Forest accounts for almost 64 percents of total land cover in South Korea. For inventorying, monitoring, and managing such large area of forest, application of remote sensing and geographic information system (RS/GIS) technology is essential. On the basis of spectral characteristics of satellite imagery, forest cover and tree species can be classified, and forest cover map can be prepared. Using three dimensional data of LiDAR(Light Detection and Ranging), tree location and tree height can be measured, and biomass and carbon stocks can be also estimated. In addition, many indices can be extracted using reflection characteristics of land cover. For example, the level of vegetation vitality and forest degradation can be analyzed with VI (vegetation Index) and TGSI (Top Grain Soil Index), respectively. Also, pine wilt disease and o ak w ilt d isease c an b e e arly detected and controled through understanding of change in vegetation indices. RS and GIS take an important role in assessing carbon storage in climate change related projects such as A/R CDM, REDD+ as well. In the field of climate change adaptation, impact and vulnerability can be spatio-temporally assessed for national and local level with the help of spatio-temporal data of GIS. Forest growth, tree mortality, land slide, forest fire can be spatio-temporally estimated using the models in which spatio-temporal data of GIS are added as influence variables.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.21 no.3
• /
• pp.183-191
• /
• 2021

Non-intrusive load monitoring is a technology that can be used for predicting and classifying the type of appliances through real-time monitoring of user power consumption, and it has recently got interested as a means of energy-saving. In this paper, we propose a system for classifying appliances from user consumption data by combining GAF(Gramian angular field) technique that can be used for converting one-dimensional data to the two-dimensional matrix with convolutional neural networks. We use REDD(residential energy disaggregation dataset) that is the public appliances power data and confirm the classification accuracy of the GASF(Gramian angular summation field) and GADF(Gramian angular difference field). Simulation results show that both models showed 94% accuracy on appliances with binary-state(on/off) and that GASF showed 93.5% accuracy that is 3% higher than GADF on appliances with multi-state. In later studies, we plan to increase the dataset and optimize the model to improve accuracy and speed.