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Analysis of land use change for advancing national greenhouse gas inventory using land cover map: focus on Sejong City

  • Park, Seong-Jin (Division of soil and fertilizer, National Institute of Agricultural Science, RDA) ;
  • Lee, Chul-Woo (Division of soil and fertilizer, National Institute of Agricultural Science, RDA) ;
  • Kim, Seong-Heon (Division of soil and fertilizer, National Institute of Agricultural Science, RDA) ;
  • Oh, Taek-Keun (Department of Bio-Environmental Chemistry, College of Agriculture and Life Science, Chungnam National University)
  • Received : 2020.08.25
  • Accepted : 2020.10.28
  • Published : 2020.12.01

Abstract

Land-use change matrix data is important for calculating the LULUCF (land use, land use change and forestry) sector of the national greenhouse gas inventory. In this study, land cover changes in 2004 and 2019 were compared using the Wall-to-Wall technique with a land cover map of Sejong City from the Ministry of Environment. Sejong City was classified into six land use classes according to the Intergovernmental Panel on Climate Change (IPCC) guidelines: Forest land, crop land, grassland, wetland, settlement and other land. The coordinate system of the land cover maps of 2004 and 2019 were harmonized and the land use was reclassified. The results indicate that during the 15 years from 2004 to 2019 forestlands and croplands decreased from 50.4% (234.2 ㎢) and 34.6% (161.0 ㎢) to 43.4% (201.7 ㎢) and 20.7% (96.2 ㎢), respectively, while Settlement and Other land area increased significantly from 8.9% (41.1 ㎢) and 1.4% (6.9 ㎢) to 35.6% (119.0 ㎢) and 6.5% (30.3 ㎢). 79.㎢ of cropland area (96.2 ㎢) in 2019 was maintained as cropland, and 8.8 ㎢, 1.7 ㎢, 0.5 ㎢, 5.4 ㎢, and 0.4 ㎢ were converted from forestland, grassland, wetland, and settlement, respectively. This research, however, is subject to several limitations. The uncertainty of the land use change matrix when using the wall-to-wall technique depends on the accuracy of the utilized land cover map. Also, the land cover maps have different resolutions and different classification criteria for each production period. Despite these limitations, creating a land use change matrix using the Wall-to-Wall technique with a Land cover map has great advantages of saving time and money.

Keywords

Acknowledgement

본 연구는 농촌진흥청 국립농업과학원 농업과학기술 연구개발사업(과제번호: PJ01253501)의 지원에 의해 수행되었습니다.

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