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국가산림자원조사 자료와 임상도를 이용한 경기지역 산림의 임분재적 공간분포 추정
김은숙 ( Eun Sook Kim ),김경민 ( Kyung Min Kim ),김종찬 ( Chong Chan Kim ),이승호 ( Seung Ho Lee ),김성호 ( Sung Ho Kim ) 한국산림과학회 2010 한국산림과학회지 Vol.99 No.6
Reliable forest statistics provides important information to meet the UNFCCC. In this respect, the national forest inventory has played a crucial role to provide the reliable forest statistics for several decades. However, the previous forest statistics calculated by administrative district has not provided spatial information in a small scale. Thus, this study focused on developing models to estimate an explicit spatial distribution of forest growing stock. For this, first, stand volume model by stand types was developed using National Forest Inventory(NFI) data. Second, forest type map was integrated with this model. NFI data were used to calculate plot-level stand volume and basal area. The stand types of NFI plot including the species composition, age class, DBH class and crown density class are very crucial data to be connected with forest type map. Finally, polygonlevel stand volume map was developed with spatial uncertainty map. Average stand volume was estimated at 85.7 m3/ha in the study area, and at 95% significance interval it was ranged from 79.7 m3/ha to 91.8 m3/ha.
국가산림자원조사 자료와 임상도를 이용한 지상부 바이오매스의 공간규모 확장
김은숙 ( Eun Sook Kim ),김경민 ( Kyoung Min Kim ),이정빈 ( Jung Bin Lee ),이승호 ( Seung Ho Lee ),김종찬 ( Chong Chan Kim ) 한국임학회 2011 한국산림과학회지 Vol.100 No.3
기후변화에 대응하기 위해 산림의 탄소저장 능력을 정량적으로 이해하기 위한 연구가 국내외적으로 요구되고 있다. 본 연구에서는 지상부바이오매스의 공간적 분포현황을 제공하기 위해 국가산림자원조사 표본점 단위로 계산된 지상부바이오매스를 임상도를 이용하여 공간규모를 확장(upscaling)하는 기법을 개발하고자 한다. 이를 위해 국가산림자원조사 자료를 이용하여 우세/준우세목 수고와 수관 밀도를 설명변수로 하는 지상부바이오매스 회귀모델과 영급을 설명변수로 하는 우세/준우세목 수고 회귀모델을 개발하였다. 그리고 이 회귀모델들과 임상도 속성정보(수종, 수관밀도, 영급)을 결합하여 지상부 바이오매스 공간분포를 추정하였다. 그 결과 단양군 산림의 지상부바이오매스는 6,606,324 ton으로 추정되었고, 표본점 기반 통계에 의한 추정치와 유의적인 차이가 없는 것으로 나타났다. 임상도를 활용하는 본 기법은 손쉽게 대면적에 대한 바이오매스를 추정하는 장점이 있는 반면, 임상도의 주요 속성이 범주형이기 때문에 산림바이오매스 공간 변이의 세밀한 추정에는 한계가 있었다. In order to assess and mitigate climate change, the role of forest biomass as carbon sink has to be understood spatially and quantitatively. Since existing forest statistics can not provide spatial information about forest resources, it is needed to predict spatial distribution of forest biomass under an alternative scheme. This study focuses on developing an upscaling method that expands forest variables from plot to landscape scale to estimate spatially explicit aboveground biomass(AGB). For this, forest stand variables were extracted from National Forest Inventory(NFI) data and used to develop AGB regression models by tree species. Dominant/codominant height and crown density were used as explanatory variables of AGB regression models. Spatial distribution of AGB could be estimated using AGB models, forest type map and the stand height map that was developed by forest type map and height regression models. Finally, it was estimated that total amount of forest AGB in Danyang was 6,606,324 ton. This estimate was within standard error of AGB statistics calculated by sample-based estimator, which was 6,518,178 ton. This AGB upscaling method can provide the means that can easily estimate biomass in large area. But because forest type map used as base map was produced using categorical data, this method has limits to improve a precision of AGB map.
수치임상도 제작을 위한 산림항공사진 영상판독시스템 개발(Version 1.0)
유병오 ( Byung Oh You ),김종찬 ( Chong Chan Kim ),김성호 ( Sung Ho Kim ) 한국지리정보학회 2011 한국지리정보학회지 Vol.14 No.2
The purpose of the FAPIS(Forest Aerial Photograph Interpretation System) development is to increase accuracy and efficiency of the digital forest cover type mapping for improving conventional analog-based mapping procedures by optimizing work-flow and mapping technology. The database models including digital forest cover type map, aerial photograph, and topographic map were designed for use in this system construction. The interface configured concisely to connect with functions such as search engine, display control, conversion to stereo interpretation mode, modification tools, automation of print layout and database models. It is expected that the standardization methodology based on this system can be applied and extended in making all kinds of digital thematic maps, providing decision-making and information of forest resources.