• 생태와환경
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• 제50권1호
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• pp.70-78
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• 2017

화산습지는 경북 군위와 영천 경계의 산정 분지 (표고 644~780 m)에 위치한다. Z.-M. 학파의 식물사회학적 방법으로 현장 식생조사가 이루어졌고, 현존식생도가 제작되었다. 단위식생의 출현종의 행동양식은 피도와 상대기여도를 이용하여 분석하였다. 버드나무하위군락, 전형하위군락, 산돌배하위군락으로 이루어진 오리나무-백당나무군락이 처음으로 기재되었다. 오리나무 우점림에 대한 선행 기재단위식생 (오리나무-진퍼리새군락, 오리나무-일본갈매나무군집, 버드나무-신나무군집 등)과의 군락분류학적, 군락동태학적 대응성이 논의되었다. 본 군락은 오리나무군강(Alnetea japonicae)에 귀속되고 산간 계류 선상지에서의 분지상(分地狀) 범람원 습생림으로 규정되었다. 화산습지의 잠재자연식생이고 증거 식생형으로서 식생보존등급 [I]의 자연식생으로 평가되었다. 입지의 수리수문 환경조건의 극적인 변화(건생화 및 부영양화)로부터 국가적 보호 전략이 요구되었다.

• 한국환경복원기술학회지
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• 제22권1호
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• pp.61-72
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• 2019

With the diversification of research using UAV(Unmanned Aerial Vehicle)s, the possibility of remote sensing research for urban green spaces is increasing. UAVs can be used as an investigation method to monitor the successful construction of the park and the planting of vegetation since its creation. This study was carried out to investigate UAVs utilization of urban green space monitoring in Dosol Square. It was photographed three times on May 21, July 13, and September 16, 2018 using DJI Phantom3 pro, Inspire2, and Parrot Sequoia multispectral camera. Orthographic images were overlaid on the planting plan of the site and the construction results were checked, the change of vitality of the plantation area was analyzed by NDVI(Normalized Difference Vegetation Index) and SAVI(Soil Adjusted Vegetation Index). As a result, it was confirmed that the UAVs are very effective for surveying the view of the urban green space after the construction and recording the results, which can be grasped quantitatively by overlaying the planting plan map. UAVs are more likely to be used in terms of monitoring vegetation vitality. It is interpreted that SAVI is better than NDVI in the green space just after composition. Chionanthus retusus and Pinus strobus were analyzed for their low level of vitality, and partially damaged and their vitality was lowered. In addition, there was difficulty in grass planting area and flower garden due to drainage and summer drought problems. In the future, it is expected that orthoimage and multispectral data using UAVs will be useful in the early vegetation monitoring and management field of urban green spaces.

• 한국환경과학회지
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• 제17권6호
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• pp.647-655
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• 2008

The purpose of the study is to find the problems related to the current state of the stand age classes and the method of calculating it defined in the existing forest type map and propose the more accurate method of calculating the stand age classes. The object for the study was selected as the forest scattered around the Geesan village Paju city in Kyunggi province. For the accurate method of calculating the stand age classes, such items as, the type of actual vegetation, establishment of grid-type standard area scaled down at the level of the 5% of the actual area, the types, number, DBH and age of tree found by the plots, were investigated. It was found out actual vegetation was divided into the total 24 types and the 20 types of them belonged to the growing tree areas. As the plots, the 125 places(unit area: $400m^2$) were established the types of the trees found were distributed in the range where the minimum was 1 type, the maximum was 9, the mean was $4.4{\pm}1.5$, and the mode was 4 types. The number of the trees found was distributed in the range where the minimum was 17, the maximum was 125, the mean was $4.4{\pm}1.5$, and the mode was 70. In the DBH, the minimum was 6 cm, the maximum was 30 cm, the mean was 13 cm and the mode was 10 cm. As the result of measuring the age of the 5 trees corresponding to the value of the mode in DBH, selected among the dominant species by the plots, less than 20 years was 17 places, the 115 places were included in the range from 21 to 30 years, and more than 31 years was the 6 places.

• 대한공간정보학회지
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• 제17권2호
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• pp.55-60
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• 2009

본 연구에서는 경주시 내남면을 대상으로 KOMPSAT-2 MSC(Multi Spectral Camera) 영상(2007.06.12)을 기반으로 NDVI(Normalized Difference Vegetation Index)와 TCT(Tasseled-Cap Transformation) 영상 알고리즘을 적용하여 DN 분포도를 작성 하였다. NDVI 및 TCT DN 분포도와 산림 현장 조사 결과와의 비교 분석을 통하여 임상 분류 정확도 향상을 위한 영상 알고리즘 변별력 분석을 수행하고 마지막으로 현장조사 자료와의 중첩 분석을 통하여 임상분류 정확성을 검증 하였다. 본 연구를 통하여 KOMPSAT-2 MSC 영상을 이용하여 임상 분류 자동화 실용성에 대한 검토와 정밀 산림 임상도 제작과정에서 저비용 고효율성을 기대할 수 있으리라 사료된다.

• 대한원격탐사학회지
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• 제22권2호
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• pp.101-110
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• 2006

본 연구에서는 항공 관측으로 얻어진 다중분광영상과 LIDAR (LIght Detection And Ranging) 자료를 이용하여 농업지역의 토지피복 분류 정도를 분석하였다. 다중분광영상은 녹색, 적색, 근적외역의 3분광으로 이루어져 있다. LIDAR 벡터 자료로부터 최초 반사강도 영상과 최초 반사 표고 자료와 최후 반사의 지상 표고 자료의 차이로 산출된 식생 높이 영상이 얻어졌다. 토지피복 분류 방법은 최대우도법을 사용했으며, 다중분광영상의 3밴드 영상 LIDAR의 반사강도 영상, 식생 높이 영상을 이용하였다. 모든 영상을 이용한 토지피복 분류의 전체 정도는 85.6%로 다중분광영상만을 이용한 정도보다 10%이상 향상되었다. 여러 농작물간의 높이의 차이, 수목과 농작물 높이의 차이와 LIDAR 반사강도 차이로 인하여 다중분광영상과 LIDAR 영상을 사용한 토지피복 분류의 정도가 향상되었다.

• 한국측량학회지
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• 제32권6호
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• pp.581-590
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• 2014

With rapid land development, land category should be updated on a regular basis. However, manual field surveys have certain limitations. In this study, attempts were made to extract a feature vector considering spectral signature by parcel, PIMP (Percent Imperviousness), texture, and VIs (Vegetation Indices) based on RapidEye satellite image and cadastral map. A total of nine land categories in which feature vectors were significantly extracted from the images were selected and classified using SVM (Support Vector Machine). According to accuracy assessment, by comparing the cadastral map and classification result, the overall accuracy was 0.74. In the paddy-field category, in particular, PO acc. (producer's accuracy) and US acc. (user's accuracy) were highest at 0.85 and 0.86, respectively.

• 한국측량학회:학술대회논문집
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• 한국측량학회 2004년도 추계학술발표회 논문집
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• pp.381-384
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• 2004

The goal of this study is to generate a landslide susceptibility map using GIS(geographic information system) based method. A simple and efficient algorithm is proposed to generate a landslide susceptibility map from DEM(digital elevation model) and existing maps. The categories of controlling factors for landslides, aspect of slope, soil, topographical index, landuse, vegetation are defined, because those factors are said to have relevance to landslide and are easy to obtain theirs sources. The weight value for landslide susceptibility is calculated from the density of the area of landslide blocks in each class. Finally, a map of susceptibility zones is produced using the weight value of all controlling factors, and then each susceptibility zone is evaluated by comparing with the distribution of each controlling factor class.

• 한국군사과학기술학회지
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• 제13권1호
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• pp.147-155
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• 2010

Landcover information of access-denied area was extracted from low-medium and high resolution satellite image. Training for supervised classification was performed to refer visually by landcover map which is made and distributed from The Ministry of Environment. The classification result was compared by relating data of FACC land classification system. As we rasterize digital military map with same pixel size of satellite classification, the accuracy test was performed by image to image method. In vegetation case, ancillary data such as NDVI and image for seasons are going to improve accuracy. FACC code of FDB need to recognize the properties which can be automated.

• 대한원격탐사학회지
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• 제7권2호
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• pp.165-178
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• 1991

A geologic hazard map has been produced in the suburbs of Seoul using GIS technology to analyse the degree of geologic hazard, particularly landslides. Topographic, geologic and soil data were incorporated in a map through GIS, which enable to interpret, analyse and predict the regional geologic hazards. Potential elements causing a landslide are slope geometry, geology, groundwater table, soil property, rainfall and vegetation etc. These elements analysed in the study area were input into GIS system through cartographic simulation to produce the regional geologic hazard map. For this work, ARC/INFO(GIS) and ERDAS(IP) system were used.

• 대한원격탐사학회지
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• 제19권5호
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• pp.371-380
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• 2003

The primary objective of this study is to develop a suitable methodology to generate forest leaf area index (LAI) map at regional and local scales. To build empirical models, we collected the LAI values at 30 sample plots over the forest within the kyongan watershed area by the field measurements using an optical instrument. Landsat-7 ETM＋ multispectral data obtained at the same growing season with the field LAI measurement were used. Three datasets of remote sensing signal were prepared for analyzing the relationship with the field measured LAI value and they include raw DN, atmospherically corrected reflectance, and topographically corrected reflectance. From the correlation analysis and regression model development, we found that the radiometric correction of topographic effects was very critical step to increase the sensitivity of the multispectral reflectance to LAI. In addition, the empirical model to generate forest LAI map should be separately developed for each of coniferous and deciduous forest.