Paper
7 October 2011 An ecosystem service value assessment of land-use change in South Korea using remote sensing data and geographic information system
Younghwa Jung, Hoyong Ahn, Chuluong Choi
Author Affiliations +
Abstract
In Korea, rapid industrialization and economic growth have led to serious problems including reduced open space, environmental degradation, traffic congestion, and urban sprawl. These problems have been exacerbated by the absence of effective conservation and governance, and have resulted in various social conflicts. This study analyzed ecosystem service value over the past 20 years using previously reported coefficients. In addition, using logistic regression, we projected the land-cover distribution in 2020 according to the Environmental Conservation Value Assessment Map and analyzed ecosystem service value based on land use changes. Between 1985 and 2005, built-up areas had increased threefold. In the same time period, forest, grassland, and wetland areas decreased. Because of these trends, ecosystem service value decreased from 7,300 million USD to 6,525 million USD. By analyzing land-cover distribution with 2020 land-cover maps, we determined that farmland, grassland, and bare land areas had declined by approximately 24.3%. The 2020 land-cover map with considering ECVAM showed a decrease of 89 million USD in ecosystem service value, while the map without considering ECVAM showed a decrease of 165 million USD. The results of this analysis indicate that environmentally sustainable systems and urban development must be applied to achieve sustainable development and environmental protection.
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Younghwa Jung, Hoyong Ahn, and Chuluong Choi "An ecosystem service value assessment of land-use change in South Korea using remote sensing data and geographic information system", Proc. SPIE 8174, Remote Sensing for Agriculture, Ecosystems, and Hydrology XIII, 81741U (7 October 2011); https://doi.org/10.1117/12.896316
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Cited by 2 scholarly publications.
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KEYWORDS
Ecosystems

Remote sensing

Geographic information systems

Biological research

Earth observing sensors

Quantitative analysis

Agriculture

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