• Korean Journal of Remote Sensing
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• v.32 no.4
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• pp.353-364
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• 2016

Yangon city is experienced a rapid urban expansion over the last two decades due to accelerate with the socioeconomic development. This research work studied an investigation into the application of the integration of the Remote Sensing (RS) and Geographic Information System (GIS) for observing Land Use and Land Cover (LULC) patterns and evaluate its impact on Land Surface Temperature (LST) of the downtown, suburban 1 and suburban 2 of Yangon city. The main purpose of this paper was to examine and analyze the variation of the spatial distribution property of the LULC of urban spatial information related with the LST and Normalized Difference Vegetation Index (NDVI) using RS and GIS. This paper was observed on image processing of LULC classification, LST and NDVI were extracted from Landsat 8 Operational Land Imager (OLI) image data. Then, LULC pattern was linked with the variation of LST data of the Yangon area for the further connection of the correlation between surface temperature and urban structure. As a result, NDVI values were used to examine the relation between thermal behavior and condition of land cover categories. The spatial distribution of LST has been found mixed pattern and higher LST was located with the scatter pattern, which was related to certain LULC types within downtown, suburban 1 and 2. The result of this paper, LST and NDVI analysis exhibited a strong negative correlation without water bodies for all three portions of Yangon area. The strongest coefficient correlation was found downtown area (-0.8707) and followed suburban 1 (-0.7526) and suburban 2(-0.6923).

• Journal of Climate Change Research
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• v.9 no.4
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• pp.385-398
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• 2018

Although the importance of developing reliable and systematic GHG inventory has increased, the GIS/RS-based national scale LULUCF (Land Use, Land-Use Change and Forestry) sector analysis is insufficient in the context of the Paris Agreement. In this study, the change in $CO_2$ storage of forest land due to land use change is estimated using two GIS/RS methodologies, Sampling and Wall-to-Wall methods, from 2000 to 2010. Particularly, various imagery with sampling data and land cover maps are used for Sampling and Wall-to-Wall methods, respectively. This land use matrix of these methodologies and the national cadastral statistics are classified by six land-use categories (Forest land, Cropland, Grassland, Wetlands, Settlements, and Other land). The difference of area between the result of Sampling methods and the cadastral statistics decreases as the sample plot distance decreases. However, the difference is not significant under a 2 km sample plot. In the 2000s, the Wall-to-Wall method showed similar results to sampling under a 2 km distance except for the Settlement category. With the Wall-to-Wall method, $CO_2$ storage is higher than that of the Sampling method. Accordingly, the Wall-to-Wall method would be more advantageous than the Sampling method in the presence of sufficient spatial data for GHG inventory assessment. These results can contribute to establish an annual report system of national greenhouse gas inventory in the LULUCF sector.

• Journal of Forest and Environmental Science
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• v.34 no.5
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• pp.405-411
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• 2018

Implementation of mitigation options on land is important for realisation of the goals of the Paris Agreement to stabilize temperature at $2^{\circ}C$. In India, the Intended Nationally Determined Contribution (INDC) targets include a forestry goal of creation of carbon sinks of 2.5 to 3 billion tonnes by 2030. There are however, multiple barriers to implementation of forestry mitigation options in India. They include environmental, social, financial, technological and institutional barriers. The barriers are varied not just across land categories but also for a land category depending on its regional location and distribution. In addition to these barriers is the impeding climate change that places at risk realisation of the mitigation potential as rising temperatures, drought, and fires associated with projected climate change may lead to forests becoming a weaker sink or a net carbon source before the end of the century.

• Journal of Agricultural Extension & Community Development
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• v.16 no.2
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• pp.439-461
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• 2009

The aim of this study is to make abolished school utilized to be served for promotion of off-farm incomes, vitality of agriculture and rural communities' economic, i.e. directly related in inhabitants' income. The methods of this study was to classify the types of utilization via analysis of abolished school data base which served by Ministry of Education & Human Resources Development. Moreover, we tried to derive problems of management and the existing system via interview survey of the nation's best 100 executives who utilize abolished school and present active factors of abolished school utilization and improvement directions. Then, we classified types of the idle agricultural land utilization into categories and selected the survey site which were the best on the idle agricultural land. Then, we suggests utilization and improvement directions to the use and management of idle agricultural land for increasing inhabitants' income, vitality of agriculture and rural communities' economic.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.11 no.4
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• pp.103-118
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• 2008

University campuses, in Korea, experienced expansion during the 1970's and exceeded its capacity in the 1980's. On the other hand, universities needed to deal with increasing capacity and expansion of its facilities. This study is carried out in three steps : developing the factors of environmental friendly assessment, designing an assessment table based on specific categories, and applying the categories to the campus of Seoul National University. The assessment factors and assessment table were designed through a survey of experts in landscaping, architecture, and urban planning. The elements of major categories were classified as follows; 1) Management of land and accessibility, 2) Pollution and waste matter, 3) Energy, 4) Natural resources, 5) Operation, maintenance and management of environmental friendly campus. And, this study classified five major categories into twenty subcategories on the evaluation of the environmental friendly campus. The twenty subcategories include various fields such as architecture, landscape architecture, environment, urban design, and social sciences etc., profound studies at this line should make more precise assesment guidelines.

• Journal of the Korean Geographical Society
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• v.38 no.5
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• pp.725-740
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• 2003

The National Land Planning and Use Law Act at the beginning of 2002, introduced Land Suitability Assessment System(LSAS) in order to mitigate conflicts between development and conservation needs for land. LSAS is to assess land characteristics according to its physical, locational, and environmental characteristics, and then to classify it into several categories based on its usability. This study aims to review the factors to determine the suitability of the land and their weights. Land suitability is determined by a variety of factors, such as land-surface slope and altitude, the type of land use in neighboring areas, accessibility to public facilities and existing developed areas, and ecological characteristics of the land. This article analyzed these factors and their influences by using the Delphi survey and Analytic Hierarchical Process. One of the most influential factors on the development suitability of land is the distance to developed areas and public facilities. On the other hand, the slope and altitude of the land have comparatively low influences on the land development. The coverage of prime cultivating land of the neighbouring region and slope of the land are analyzed as important factors on the agricultural suitability of the land. The ecological features and the ratio of conservation area in the neighbourhood are counted as the most important factors in determining the land for conservation. This article tested these factors and their weights in assessing land suitability of land as a case study.

• Journal of Cadastre & Land InformatiX
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• v.49 no.1
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• pp.65-84
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• 2019

This study attempted to predict citizens' emotions regarding mortgage rates using machine learning algorithms. To accomplish the research purpose, I reviewed the related literature and then set up two research questions. To find the answers to the research questions, I classified emotions according to Akman's classification and then predicted citizens' emotions on mortgage rates using six machine learning algorithms. The results showed that AdaBoost was the best classifier in all evaluation categories. However, the performance level of Naive Bayes was found to be lower than those of other classifiers. Also, this study conducted a ROC analysis to identify which classifier predicts each emotion category well. The results demonstrated that AdaBoost was the best predictor of the residents' emotions on home mortgage rates in all emotion categories. However, in the sadness class, the performance levels of the six algorithms used in this study were much lower than those in the other emotion categories.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.23 no.5
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• pp.99-112
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• 2020

This study aims to propose biotope field datasheet and biotope type classification based on habitat-based by analyzing the German biotope system. The German system began in 1976 and has established a habitat-based national biotope classification system. On the other hand, Korea institutionalized in 2018 to build a classification system based on land use and land cover, which is a classification system that does not fully reflect ecosystem in Korea. Germany operates 44 biotope classification systems and 40 biotope field datasheet. Korea uses a single biotope field datasheet regardless of the biotope type. This classification system may not reflect the characteristics of Korea's biotope ecological habitat. The biotope classification system of Korea was proposed by dividing it into five categories: mountain ecology, freshwater ecology, land ecology, coastal ecology, and development area to reflect ecosystem habitat. The biotope type was designed as a system of large-classification-middle-small classification and subdivided into medium-classification and subdivided in each biotope system. The major classifications were classified into 44 categories according to the mountainous biotope(11), freshwater biotope(8), terrestrial biotope (12), coastal biotope(6), and development biotope(7). Unlike Germany, Korea's biotope field datasheet was proposed in five ways according to the classification of major ecosystem types. The results of this study are expected to contribute to the policy suggestion and the utilization of ecosystem conservation because the biotope classification system is classified to reflect the characteristics of ecosystem habitats.

• Journal of The Korean Society of Agricultural Engineers
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• v.47 no.2
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• pp.15-21
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• 2005

This study is to trace the change of stream shape using the past series of aerial photographs, and to compare the land use changes of riparian area along the stream. For the Gyeongan national stream, aerial photographs of 1966, 1981 and 2000 were selected and ortho-photographs were made with interior orientation and exterior orientation, respectively. Apparent changes of the stream were found that the consolidated reaches of stream by levee construction became straight together with widening of their stream widths. Especially the stream width of inlet part of Paldang lake widened almost twice because of the rise of water level by dam construction in 1974. The land use of riparian areas of three selected years were classified into six categories (water, forest, agricultural land, urban area, road, sandbar) by digitizing method. The forest and agricultural lands decreased and urban area increased as the stream maintenance had been performed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.11
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• pp.5971-5978
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• 2013

The aim of the study is to suggest the development type and the land-use model of smart green multi complexes focused on the lesson for future smart green complex in Korea. For the study, the concept and the development aspects are reviewed as a theoretical research and the development types of smart green multi complexes are surveyed based on its functional distribution. The types of multi-complexes are classified in three categories of small city, neighborhood and small housing estate regarding its size. As a result of the research, the land-use model of smart green multi complexes according to its types are suggested under consideration of Korean situation.