KNU IFS 2017 Annual International Symposium of Institute of Forest Science (2017.11)바로가기
페이지
pp.54-54
저자
Jeong Mook Park, Woo Dam Sim, Gwang Sik Kim, Jung Soo Lee
언어
영어(ENG)
URL
https://www.earticle.net/Article/A450073
원문정보
초록
영어
This study evaluated the possibility to establish the land-use change matrix in the LULUCF(Land Use, Land-Use Change and Forestry) sector based on the standards of Intergovernmental Panel on Climate Change(IPCC) by using the permanent sample plot(sampling intensity=4km) of NFI(National Forest Inventory). Land-use was categorized into forest land, cropland, grassland, wetland, settlements, and other land based on the IPCC standards. Forest land was classified by generating circular sample plots(0.5ha) based on the permanent sample plot with considering the minimum area according to the definition of the forest in South Korea. Land-use change matrix was established by reading the 3rd and 4th Forest Aerial Photograph and applying the point sampling technique to the permanent sampling plot at the sampling intensity of 4km over the entire South Korea. The established land-use change matrix results showed that forest land and cropland had the highest annual area ratio followed by settlements, wetland, and grassland. Over time, the area of cropland decreased the most and that of settlements increased the most. The ratio of the retained area was the highest in the forest land(approximately 99.1%) and the lowest in the grassland (approximately 78%). The SE(Standard Error) of the estimated area was the highest in forest land(approximately 64,213ha for the 3rd and approximately 64,143ha for the 4th). However, the RSE(Relative Standard Error), considering the total area, of forest land was the lowest(approximately 1%). It is expected that the national level land-use change matrix statistics can be established by using appropriate reading standards and sampling intensity based on further studies.