Development of Activity Data for Greenhouse Gas Inventory in Settlements in South Korea

Sol-E Choi, Moonil Kim, Yowhan Son, Seong-Woo Jeon, Kyeong-Hak Lee, Whijin Kim, Sun-Jeoung Lee and Woo-Kyun Lee ()
Additional contact information
Sol-E Choi: Forest ICT Research Center, National Institute of Forest Science, 57 Hoegi-ro, Dongdaemun-gu, Seoul 02455, Republic of Korea
Moonil Kim: Division of ICT-Integrated Environment, Pyeongtaek University, 111 Yongyi-Dong, Pyeongtaek-si 17869, Gyeonggi-do, Republic of Korea
Yowhan Son: Department of Environmental Science and Ecological Engineering, Korea University, Seoul 02841, Republic of Korea
Seong-Woo Jeon: Department of Environmental Science and Ecological Engineering, Korea University, Seoul 02841, Republic of Korea
Kyeong-Hak Lee: Department of Forestry, Environment and Systems, Kookmin University, 77 Jeongneung-ro, Seongbuk-gu, Seoul 02707, Republic of Korea
Whijin Kim: Department of Environmental Science and Ecological Engineering, Korea University, Seoul 02841, Republic of Korea
Sun-Jeoung Lee: Forest ICT Research Center, National Institute of Forest Science, 57 Hoegi-ro, Dongdaemun-gu, Seoul 02455, Republic of Korea
Woo-Kyun Lee: Department of Environmental Science and Ecological Engineering, Korea University, Seoul 02841, Republic of Korea

Land, 2024, vol. 13, issue 4, 1-21

Abstract: In South Korea, Agriculture, Forestry, and Other Land Use (AFOLU) collates greenhouse gas (GHG) inventories. However, the settlement category lacks a clear definition of land use and activity data. This study proposed a method for examining the settlement spatial extent and constructing activity data to estimate GHG emissions and absorption as a pilot calculation, as well as to provide data for land use classification. Utilizing cadastral maps (CDMs), settlement spatial extents were determined, with settlements occupying approximately 11% of the total land area in 2019, or 9% excluding overlaps. Activity data for settlements were established through a sampling method and analysis of aerial orthoimages from 2000 and 2019. After removing overlaps with digital forest type maps and smart farm maps, settlement activity data covered approximately 18.47% based on CDMs, or 12.66% excluding overlaps. In 2019, CO 2 emissions and absorptions were estimated at 622.16 ktCO 2 yr −1 based on CDMs and 242.16 ktCO 2 yr −1 , excluding overlaps. To enhance GHG inventory calculation consistency and compliance with TACCC principles, clear spatial extents for settlements must be established. This entails constructing activity data and assessing GHG inventories accordingly. GHG inventory statistics should also inform future nationally determined contributions.

Keywords: greenhouse gas inventory; AFOLU; settlements spatial extent; activity data; land use; land use change (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2073-445X/13/4/497/pdf (application/pdf)
https://www.mdpi.com/2073-445X/13/4/497/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jlands:v:13:y:2024:i:4:p:497-:d:1374018

Access Statistics for this article

Land is currently edited by Ms. Carol Ma

More articles in Land from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().