• 한국측량학회지
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• 제33권6호
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• pp.605-614
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• 2015

Drone imaging, which is more cost-effective and controllable compared to airborne LiDAR, requires a low-cost camera and is used for capturing color images. From the overlapped color images, we produced two high-resolution digital surface models over different test areas. After segmentation, we performed tree identification according to the method proposed by , and computed the tree height and the canopy crown size. Compared with the field measurements, the computed results for the tree height in test area 1 (coniferous trees) were found to be accurate, while the results in test area 2 (deciduous coniferous trees) were found to be underestimated. The RMSE of the tree height was 0.84 m, and the width of the canopy crown was 1.51 m in test area 1. Further, the RMSE of the tree height was 2.45 m, and the width of the canopy crown was 1.53 m in test area 2. The experiment results validated the use of drone images for the extraction of a tree structure.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume II
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• pp.676-679
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• 2006

Mangrove crowns were delineated using active sensor LIDAR (LIght Detection And Ranging) data by a crown delineating model developed in this study. LIDAR data were acquired from airborne survey by a helicopter for the estuary of Macouria in the northeast coast of French Guiana. The canopy height image was derived from LIDAR vector data by calculating the difference between ground and non-ground data. The mangrove site in the study area was classified to three sectors by the time of mangrove settlement; Mangrove 1986, 2002 and 2003. The estimated crown of Mangrove 1986 was reliable defined for their size, number and volume because of larger crown size and bigger variation of crown height. The tree crown size of Mangrove 2002 and 2003 by the model was overestimated and the number of trees was much underestimated. The estimated crown was not for single crown but a crown group due to homogenous crown height and spatial resolution of LIDAR data. However the canopy height image derived from LIDAR data provided three-dimensional information of mangroves.

• 한국산림과학회지
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• 제89권5호
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• pp.543-551
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• 2000

소나무의 갱신 특성을 구명하기 위하여 강원도 평창군 중왕산 지역 소나무 천연림에서 교란에 의해 형성된 숲틈을 대상으로 line-transect 조사법에 의해 소나무의 수관 architecture 특성을 조사, 분석하였다. 갱신 초기단계에 소나무는 숲틈에서 생장환경에 적응능력을 나타내었고 소개된 임분에서 자라는 소나무에 비해 architecture 특성은 다르게 나타났다. 소나무 천연림내 숲틈에서 소나무의 주 가지의 분지각의 변이폭은 작았고 주 가지의 길이 생장량은 가지 연령이 4~5년생 일 때까지 비교적 크게 나다났고 그 이후에는 점차 작아졌다. 숲틈에서 소나무의 줄기로부터는 주 가지가 평균 5개씩 발생하였고 주가지에서는 잔가지가 평균 4개씩 발생하였다. 줄기에서 발생한 주 가지는 방위별로 균일한 분포양상을 나타내었지만 주가지에서 발생하는 잔가지의 수는 숲틈의 크기가 $100{\sim}120m^2$이하일 때 주로 $S44^{\circ}E{\sim}S90^{\circ}W$ 사이의 방위에 많이 분포하였다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2007년도 Proceedings of ISRS 2007
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• pp.247-249
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• 2007

Crown parameters are important roles in tree species identification, because the canopy is the aggregate of all the crowns. However, crown measurements with spaceborne image data have remained more difficult than on aerial photographs since trees show more structural detail at higher resolutions. This recognized problem led to the initiation of the research to determine if high resolution satellite image data could be used to identify and classify single tree species. In this paper, shape parameters derived from pixel-based crown area measurements and texture features derived from GLCM parameters in QuickBird image were tested and compared for individual tree species identification. As expected, initial studies have shown that the crown parameters and the canopy texture parameters provided a differentiating method between coniferous trees and broad-leaved trees within the compartment(less than forest stand) for single extraction from spaceborne high resolution image.

• 대한원격탐사학회지
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• 제35권4호
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• pp.545-560
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• 2019

Unlike other critical forest diseases, pine pitch canker in Korea has shown rather mild symptoms of partial loss of crown foliage and leaf discoloration. This study used high-resolution satellite images to detect and monitor canopy decline by pine pitch canker. To enhance the subtle change of canopy reflectance in pitch canker damaged tree crowns, multi-temporal analysis was applied to two KOMPSAT multispectral images obtained in 2011 and 2015. To assure the spectral consistency between the two images, radiometric corrections of atmospheric and shadow effects were applied prior to multi-temporal analysis. The normalized difference vegetation index (NDVI) of each image and the NDVI difference (${\Delta}NDVI=NDVI_{2015}-NDVI_{2011}$) between two images were derived. All negative ΔNDVI values were initially considered any pine stands, including both pitch canker damaged trees and other trees, that showed the decrease of crown foliage from 2011 to 2015. Next, $NDVI_{2015}$ was used to exclude the canopy decline unrelated to the pitch canker damage. Field survey data were used to find the spectral characteristics of the damaged canopy and to evaluate the detection accuracy from further analysis.Although the detection accuracy as assessed by limited number of field survey on 21 sites was 71%, there were also many false alarms that were spectrally very similar to the damaged canopy. The false alarms were mostly found at the mixed stands of pine and young deciduous trees, which might invade these sites after the pine canopy had already opened by any crown damages. Using both ${\Delta}NDVI$ and $NDVI_{2015}$ could be an effective way to narrow down the potential area of the pitch canker damage in Korea.

• 한국산림과학회지
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• 제100권3호
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• pp.359-366
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• 2011

본 연구의 목적은 숲가꾸기 사업이 소나무림의 수관연료특성에 미치는 영향에 대하여 분석하고자 하였다. 연구대상지는 숲가꾸기 사업이 실시된 경북 영주지역 소나무림(Pinus densiflora)과 천연림 상태의 봉화지역 소나무림을 대상으로 조사하였으며, 각 지역마다 10본의 표본목을 벌채하여 수관층 연료특성을 비교 분석하였다. 영주지역의 수관층 수분함량은 103.6%, 봉화지역은 104.4%로 나타났으며, 총 수관층 연료에서 수관화 확산 시 연소될 수 있는 이용 가능한 연료의 비율은 영주지역 50.3%, 봉화지역 62.0%로 나타났다. 숲가꾸기 사업이 실시된 영주지역 소나무림의 수관연료밀도는 천연림 상태의 봉화지역 소나무림에 비해 평균 $0.11kg/m^3$ 낮았으며, 지하고는 평균 1.3 m 높은 것으로 나타났다. 따라서 숲가꾸기 사업이 실시된 영주지역 소나무림이 천연림 상태인 봉화지역 소나무림에 비해 산불 발생 시 수관화로의 전이 가능성이 매우 낮은 것으로 나타났다.

• 한국산림과학회지
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• 제107권4호
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• pp.412-421
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• 2018

본 연구는 산림시업이 소나무임분의 수관연료특성 변화에 미치는 영향을 예측하고자 하였다. 본 연구에서는 국가산림자원자료 중 시업지 1,085 stands, 비시업지 349 stands의 표본점 자료를 분석에 이용하였으며, Weibull 함수를 사용하여 시간에 따른 임분생장과 수관연료특성에 대해 예측하였다. 산림시업유무에 따른 수관연료특성을 비교해본 결과 비시업지 임분이 시업지 임분에 비해 평균 수관연료량은 약 14% 높게 나타났으며, 연소가능한 수관연료밀도 또한 약 16% 높게 나타났다. Weibull 함수를 사용하여 임령 40년, 50년, 60년의 생장 예측과 수관연료특성 변화를 비교해본 결과, 시업지 임분은 시간이 지남에 따라 중경목, 대경목에 최대임목본수의 증가가 예측된 반면, 비시업지 임분은 소경목, 중경목에서 최대임목본수가 예측되었다. 비시업지 임분이 시업지 임분에 비해 수관연료량, 수관연료밀도의 증가량이 높게 나타나 수관화로의 확산 가능성이 높은 것으로 사료되었다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.72-74
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• 2003

Forest canopy density is an ideal representative of the forest habitat situations. It can directly or indirectly depict the canopy structure and gap size in the forestland, thus could be applied to assessment of wildlife’s diversit y. Since population survey of vegetation and wildlife diversities is a key issue for sustainable forest ecosystem management, many research efforts have been focused on forest canopy density using multispectral data in the last two decades. Unfortunately, prediction of canopy density using large scaling remote sensing data remains a challenging issue. Due to recent advances in hyperspectral image sensors hyperspectral imagery is now available for environmental monitoring. In this paper, we conduct experiments to monitor complicated environments of forestland that can be captured by using hyperspectral imagery and further be analyzed to test a prediction model of forest canopy density. The results show that 95% of canopy density could be well described by using 2 difference vegetation indices (DVIs), which are difference of blue and green reflectances rband_100-rband_150 and difference of 2 short wave infrared reflectancse rband_406-rband_410 With the wavelengths of band no. 100, 150, 406, and 410 specified by 462.39 nm, 534.40 nm, 918.22 nm and 924.41 nm respectively.

• 한국산림과학회지
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• 제99권2호
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• pp.204-212
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• 2010

This study was performed in 22 unthinned Larix olgensis plantations in northeast China. Data were collected on 95 sample trees of different canopy positions and the diameter at breast height ($d_{1.3}$) ranged from 5.7 cm to 40.2 cm. The individual tree models for the prediction of vertical distribution of live crown, branch and needle biomass were built. Our study showed that the crown, branch and needle biomass distributions were most in the location of 60% crown length. These results were also parallel to previous crown studies. The cumulative relative biomass of live crown, branch and needle were fitted by the sigmoid shape curve and the fitting results were quite well. Meanwhile, we developed the crown ratio and width models. Tree height was the most important predictor for crown ratio model. A negative competition factor, ccf and bas which reflected the effect of suppression on a tree, reduced the crown ratio estimates. The height-diameter ratio was a significant predictor. The higher the height-diameter ratio, the higher crown ratio is. Diameter at breast height is the strongest predictor in crown width model. The models can be used for the planning of harvesting operations, for the selection of feasible harvesting methods, and for the estimation of nutrient removals of different harvesting practices.

• 대한공간정보학회지
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• 제20권1호
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• pp.83-91
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• 2012

다양한 산림 정보 중 수관 밀도는 단위면적 당 수관점유 면적의 비율로 정의되며, 다양한 분야에 활용되는 중요한 정보이다. 기존의 측정 방법들은 항공사진 판독 또는 현지 조사를 통해 이루어졌다. 이로 인하여 수관 밀도를 측정함에 있어 시간적/인적/경제적 자원의 소모가 크고, 판독자의 주관 및 경험이 반영되어 자료 제작의 일관성이 부족하다. 따라서 본 연구에서는 KOMPSAT-2 고해상도 위성영상을 이용하여 국내 산림 지역의 수관 밀도를 추정하였다. 고해상도 위성영상에 적합한 영역 기반의 수관 밀도를 추정하기 위해 영상 분할 기법과 임분 경계 정보를 이용하여 산림 내부를 일정 영역으로 구분하고, 판별 분석 기법과 산림 비율 기법을 통해 구분된 영역의 수관 밀도를 추정하였다. 현장 조사 및 영상 판독을 통해 구축한 참조자료와 비교해본 결과 판별 분석 기법은 약 60%, 산림비율 기법은 약 85%의 정확도를 보였다. 연구 결과와 수치 임상도의 비교를 통해 갱신이 필요한 후보지 추출 가능성을 확인하였다.