LiDAR 자료를 이용한 A/R CDM 대상지 선정에 관한 연구

( Cui Gui Shan ),박태진 ( Tae Jin Park ),이우균 ( Woo Kyun Lee ),이종열 ( Jong Yeol Lee ),곽두안 ( Doo Ahn Kwak ),곽한빈 ( Han Bin Kwak ) 대한원격탐사학회 2012 大韓遠隔探査學會誌 Vol.28 No.5

교토메커니즘의 체제하에서 신규조림 및 재조림(Afforestation and Reforestation Clean Development Mechanism, A/R CDM) 사업을 위해서는 대상지적격성 입증이 필요하다. 대상지 적격성 입증을 위해서는 과거에서 현재까지 산림이 아닌 지역으로 규정되어 있으므로 현재 대상지역이 산림 정의에 부합되지 않음을 입증하여야 된다. 본 연구에서는 위성영상을 이용하여 A/R CDM 대상지를 선정을 위한 분류기법을 제시하고자 한다. 연구대상지는 양평군 양평읍의 일부 지역을 선정하였고, 산림정의에 부합하는 3가지 요소 즉, 수고, 울폐도, 면적을 고려하여 LiDAR 자료와 항공사진을 이용하였다. Moving window를 적용하여 수고, 토지면적, 울폐도를 동시에 고려하여 화소기반 산림/비산림 지역으로 분류하였다. 그 결과, 조림 가능지역은 124.06 ha이고 조림 불가지역은 약 357.02 ha이다. 분석에서 적용된 기법은 A/R CDM 사업 대상지 선정 뿐만아니라 기타 교토메커니즘의 활용에 기초방법론을 제공하였다. Verifying about eligibility of targeted site is necessary for execute Afforestation and Reforestation Clean Development Mechanism (A/R CDM) project which is followed by system of Kyoto protocol. The site have to be identified by which could not be in conformity with definition of forest. This study tried to propose a technology of classify for site selection of A/R CDM. We chose several parts of Yangpyeng as study area and applied LiDAR data and remotely sensed imagery for considering about tree height, degree of crown closure, and land area which 3 factors for identify forest. LiDAR data was used for offset the shortage of remotely sensed imagery that cannot perfectly determine the forest definition due to absence of 3-dimentional information, but can be obtained from LiDAR. Considering tree height, degree of crown closure, and land area simultaneously by moving window, classified fields to forest and non forest based on pixel size. As a result, 124.06 ha for suitable to doing plantation and approximately 357.02 ha are in negative. Technology that applied for analyzing will provide fundamental methodology not only site selection for A/R CDM, but will be utilized in other Kyoto protocol.

IKONOS 위성영상을 이용한 중국 장백산 일대의 식생분류 및 바이오매스 추정

CuiGuiShan ( Gui Shan Cui ),이우균 ( Woo Kyun Lee ),ZhuWeiHong ( Wei Hong Zhu ),이종열 ( Jong Yeol Lee ),곽한빈 ( Han Bin Kwak ),최성호 ( Sung Ho Choi ),곽두안 ( Doo Ahn Kwak ),박태진 ( Tae Jin Park ) 한국임학회 2012 한국산림과학회지 Vol.101 No.3

본 연구에서는 접근이 어려운 장백산 중국 지역의 바이오매스를 현장조사 자료와 IKONOS 위성영상을 이 용하여 추정하였다. IKONOS 위성영상을 이용하여 임상단위로 수종구분을 하고, 위성영상으로부터 추정된 식생지수 와 기존 연구에서 추정된 장백산 일부 지역의 바이오매스(Biomass)를 이용하여 회귀분석을 실시하였다. 이때, 위성영 상으로부터 추정된 식생지수 5가지(SAVI, NDVI, SR, ARVI, EVI)와 현장정보가 이용되었다. 그 결과 5가지 식생지 수와 바이오매스간의 상관관계의 결정계수의 순위는 다음과 같이 SAVI(0.84), NDVI(0.73), SR(0.59), ARVI(0.0036), EVI(0.0026) 나타났다. 이와 같은 결과를 바탕으로 최종적으로, 장백산 일부 지역에 대한 수종별 바이오매스 분포량 을 산출함으로써 천연림의 탄소흡수원 추정을 위한 기초자료를 마련하였다. This study was to estimate the biomass of Mt. Changbai mountain area using the IKONOS imagery and field survey data. Then, we prepared the regression function using the vegetation index derived from the IKONOS and biomass estimated from field measured data of previous studies, respectively. The five vegetation index which used in the regression model was SAVI, NDVI, SR, ARVI, and EVI. As a result, the rank of the R-square from coefficient of correlation was as follow, SAVI(0.84), NDVI(0.73), SR(0.59), ARVI(0.0036), EVI(0.0026). Finally, we estimated the biomass of non-measured area using the Soil Adjusted Vegetation Index (SAVI). This study can be used as reference methodology for the estimation of carbon sinks of primary forest.

한반도 식생의 녹색화에 대한 시계열적 분석

Lv, Guan Ting,ZHUYONGYAN,Liu, Wei Qi,Huang, Xiao,Li, Cheng Lei,Cui, Gui Shan 한국기후변화학회 2019 한국기후변화학회지 Vol.10 No.4

The vegetation is feedback on environmental change due to global warming. Also, the growth status of vegetation and the coverage area of vegetation are greatly affected by the environmental changes. The quantitative change of vegetation growth status is the primary task of vegetation response to environmental changes. In this study, the Global Inventory Modeling and Mapping Studies (GIMMS) based Normalized Difference Vegetation Index (NDVI) and CRU climate data are used to analyze the spatio‐temporal characteristics of vegetation greening evolution and its response to climate change from 1982 to 2015 in the Korean Peninsula by applying the partial correlation and trend analysis. The results show that the average NDVI value of the Korean Peninsula in the period 1982‐2015 was 0.68, among which the average NDVI in North Korea and South Korea was 0.69 and 0.67, respectively. The NDVI of the Korean Peninsula between 1982 and 2015 increased by 0.6x10‐3 year‐1. The increasing trend prior to and after 1998 was 2.5×10‐3 year‐1 and 0.9×10‐3 year‐1, respectively. During the 1982‐2015 years, the NDVI of DPRK and South Korea have grown mainly with the trend of 0.2×10‐3 year‐1 and 1.1×10‐3 year‐1, respectively. According to the analysis of NDVI and climatic factors, the distribution of NDVI in the three‐time series of Korean Peninsula is consistent in spatial distribution. According to the results of partial correlation analysis of climate factor and NDVI distribution in Korean Peninsula, the region has significant partial correlation with temperature change. The climate factor of temperature is the main driver of NDVI change, which plays a key role in controlling NDVI change accumulation.

과거 30년간 기온상승으로 인한 한반도 생물계절성 변화 연구

Xu, JinFeng,ZHUYONGYAN,Meng, Su Xin,Huang, Xiao,PIAODONGFAN,Cui, Gui Shan 한국기후변화학회 2019 한국기후변화학회지 Vol.10 No.4

Vegetation phenology changes play a key role in the carbon and nutrient cycle of terrestrial ecosystems. Phenology findings based on satellite observations have mainly concentrated on the northern hemisphere or Eurasia and the American continent, with few small‐scale studies on special climate environments. In this study, we used five methods to extract the Start of Growing Season (SOS), End of Growing Season (EOS) and Length of Growing Season (GSL) dates from NDVI records for the Korean Peninsula from 1982 to 2015, and determined the time correlation between SOS, EOS and maximum temperature (Tmax) and minimum temperature (Tmin). In general, phenological changes in the Korean peninsula vary from the findings drawn from the northern hemisphere scale. The SOS advance rate on the Korean peninsula is about 0.01 days / year, the fall phenology delay rate is about 0.24 days per year (p <0.05), and the growing season extension rate is about 0.23 days/year. By investigating the phenology of North Korea and South Korea separately using the 38‐line boundary, we found no statistically significant changes in SOS and GSL in North Korea. At the same time, SOS, EOS, and GSL in South Korea have changed significantly over this period. The prolongation of the growing season on the Korean Peninsula is mainly due to the delayed phenology of autumn. Vegetation phenology in South Korea’s marine climate is more strongly influenced by Tmin.

Maximum Canopy Height Estimation Using ICESat GLAS Laser Altimetry

( Tae Jin Park ),( Woo Kyun Lee ),( Jong Yeol Lee ),( Masato Hayashi ),( Yan Hong Tang ),( Doo Ahn Kwak ),( Han Bin Kwak ),( Moon Il Kim ),( Gui Shan Cui ),( Ki Jun Nam ) 대한원격탐사학회 2012 大韓遠隔探査學會誌 Vol.28 No.3

To understand forest structures, the Geoscience Laser Altimeter System (GLAS) instrument have been employed to measure and monitor forest canopy with feasibility of acquiring three dimensional canopy structure information. This study tried to examine the potential of GLAS dataset in measuring forest canopy structures, particularly maximum canopy height estimation. To estimate maximum canopy height using feasible GLAS dataset, we simply used difference between signal start and ground peak derived from Gaussian decomposition method. After estimation procedure, maximum canopy height was derived from airborne Light Detection and Ranging (LiDAR) data and it was applied to evaluate the accuracy of that of GLAS estimation. In addition, several influences, such as topographical and biophysical factors, were analyzed and discussed to explain error sources of direct maximum canopy height estimation using GLAS data. In the result of estimation using direct method, a root mean square error (RMSE) was estimated at 8.15 m. The estimation tended to be overestimated when comparing to derivations of airborne LiDAR. According to the result of error occurrences analysis, we need to consider these error sources, particularly terrain slope within GLAS footprint, and to apply statistical regression approach based on various parameters from a Gaussian decomposition for accurate and reliable maximum canopy height estimation.

강원도 고성군 소규모 신규조림/재조림 CDM 시범사업의 온실가스 감축량 산정 연구

손요환 ( Yow Han Son ),김지연 ( Ji Yeon Kim ),이수경 ( Sue Kyoung Lee ),노남진 ( Nam Jin Noh ),윤태경 ( Tae Kyung Yoon ),한새롬 ( Sae Rom Han ),( Gui Shan Cui ),이우균 ( Woo Kyun Lee ) 한국산림과학회 2013 한국산림과학회지 Vol.102 No.3

Afforestation/reforestation (A/R) clean development mechanism (CDM) is the only forestry-based activities allowed under the Kyoto protocol. This study was conducted to develop a methodology to estimate greenhouse gas (GHG) removals of a small scale A/R CDM pilot project in Goseong, Gangwon Province,Korea. AR-AMS0001 was applied as a methodology and selected tree species were Pinus koraiensis, Larix kaempferi, and Betula platyphylla for total area of 75.0 ha. To improve the accuracy on the GHG removals estimation, selection of the baseline scenario and carbon pools and stratification of the project site were conducted. Based on the developed methodology, net anthropogenic GHG removals were estimated as actual net GHG removals, subtracted by baseline net greenhouse gas removals and leakage. As a result, anthropogenic GHG removals of the project were 12,415 ton CO2-e and 165.5 ton CO2-e/ha. This project is the first A/R CDM in domestic site and could enhance the technical accuracy of the GHG removals estimation by using countryspecific data reflecting the site condition.