• 한국산림과학회지
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• 제103권1호
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• pp.12-22
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• 2014

본 연구는 백두대간 남부권역의 황악산, 박석산, 덕유산, 지리산 등 네 지역을 대상으로 복잡 다양한 천연림 군집을 분류하고 산림피복유형을 집약하였다. 점표본법을 이용하여 851개의 표본점에서 식생자료를 수집하였다. 조사된 식생자료를 대상으로 Cluster 분석을 실시하여 총 18개 군집으로 분류하였으며, 분류된 군집의 상층 수종 구성의 유사성을 바탕으로 중생혼합림형, 기타활엽수림형, 굴참나무-졸참나무림형, 신갈나무림형, 소나무림형, 서어나무림형, 구상나무림형 등 총 7개의 산림피복유형으로 집약하였다. 연구 대상지에서 신갈나무림형이 가장 넓게 분포하였고, 위도가 낮아질수록 신갈나무림형이 분포하는 평균해발고는 높아졌다. 중생혼합림형과 기타활엽수림형은 계곡에 많이 분포하였고, 신갈나무림형과 소나무림형은 능선 부위에 많이 분포하는 경향이 있었다.

• Journal of Forest and Environmental Science
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• 제31권2호
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• pp.126-135
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• 2015

This study was conducted to evaluate the ecological characteristics of forest cover types which were classified by cluster analysis in the natural forest of Sobaeksan on the basis of the vegetation data from the point-quarter sampling method. Recognized forest cover types were 1) Mixed mesophytic forest, 2) Taxus cuspidata forest, 3) Fraxinus rhynchophylla-Quercus mongolica forest, 4) Betula ermanii forest, 5) Pinus densiflora forest, 6) Quercus mongolica mixed forest, and 7) Quercus mongolica pure forest. For those of classified types, the species composition was expressed by importance value (IV) to describe the community floristically. The species diversity was quantified using the Shannon's diversity index. The results showed that the forest cover types were characteristically different from one another in growing species and compositional rates, depending upon the type which was formed by a number of similar vegetational sample points. Species diversity indices (H') of total and overstory both were the highest in the mixed mesophytic forest (3.530 and 2.880, respectively), and lowest in the Q. mongolica pure forest (2.122 and 0.000, respectively) with only one canopy species. The highest species diversity in the mixed mesophytic forest may due to the relatively high species richness and evenness in the forest cover types. The description on ecological characteristics were suggested to understand the formation and development of forest cover types in this study area.

• 한국산림과학회지
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• 제104권1호
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• pp.14-25
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• 2015

본 연구는 백두대간 중부권역의 구룡산, 소백산, 백화산, 속리산, 백학산 등 5지역을 대상으로 복잡 다양한 천연림 군집을 분류하고 산림피복유형을 집약하기 위해 실시되었다. 점표본법을 이용하여 1,114개의 표본점에서 식생자료를 수집하였으며, 조사된 식생자료를 바탕으로 Cluster 분석을 실시하였다. 그 결과 총 27개 군집으로 분류되었으며, 분류된 군집의 상층 수종구성의 유사성을 바탕으로 신갈나무림형, 중생혼합림형, 굴참나무림형, 소나무림형, 기타활엽수림형, 졸참나무림형, 아고산대림형 등 총 7개의 산림피복유형으로 집약하였다. 연구 대상지에서 신갈나무림형이 가장 넓게 분포하였고, 산림피복유형마다 신갈나무의 구성 비율이 증가함에 따라 종다양성지수가 낮아지는 경향을 나타내었다. 중생혼합림형과 기타활엽수림형은 계곡에 많이 분포하였고, 신갈나무림형과 소나무림형은 능선 부위에 많이 분포하는 것으로 조사되었다.

• Journal of Forest and Environmental Science
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• 제36권3호
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• pp.199-206
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• 2020

Satchari National Park is one of the most biodiverse forest in Bangladesh and home of many endangered flora and fauna. 206 tons of CO₂ per hectare is sequestrated in this national park every year which helps to mitigate climate issues. As people living near the area are dependent on this forest, degradation has become a regular phenomenon destroying the forest biodiversity by altering its forest cover. So, it is important to map land cover quickly and accurately for the sustainable management of Satchari National Park. The main objective of this study was to obtain information on land cover change using remote sensing data. Combination of unsupervised NDVI classification and supervised classification using maximum likelihood is followed in this study to find out land cover map. The analysis showed that the land cover is gradually converting from one land use type to another. Dense forest becoming degraded forest or bare land. Although it was slowed down by the establishment of 'National Park' on the study site, forecasting shows that it is not enough to mitigate forest degradation. Legal steps and proper management strategies should be taken to mitigate causes of degradation such as illegal felling.

• 환경영향평가
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• 제20권4호
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• pp.523-538
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• 2011

This study analyzes the changes in the surface area of each forest cover, based on temperature data analysis and satellite imagery as the basic methods for the impact assessment of climate change on regional units. Furthermore, future changes in the forest cover are predicted using the double exponential smoothing method. The results of the study have shown an overall increase in annual mean temperature in the studied region since 1990, and an especially increased rate in winter and autumn compared to other seasons. The multi-temporal analysis of the changes in the forest cover using satellite images showed a large decrease of coniferous forests, and a continual increase in deciduous forests and mixed forests. Such changes are attributed to the increase in annual mean temperature of the studied regions. The analysis of changes in the surface area of each forest cover using the statistical data displayed similar tendencies as that of the forest cover categorizing results from the satellite images. Accordingly, rapid changes in forest cover following the increase of temperature in the studied regions could be expected. The results of the study of the forest cover surface using the double exponential smoothing method predict a continual decrease in coniferous forests until 2050. On the contrary, deciduous forests and mixed forests are predicted to show continually increasing tendencies. Deciduous forests have been predicted to increase the most in the future. With these results, the data on forest cover can be usefully applied as the main index for climate change. Further qualitative results are expected to be deduced from these data in the future, compared to the analyses of the relationship between tree species of forest and climate factors.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.198-200
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• 2003

This study proved if the high resolution satellite imagery of IKONOS is suitable for preparing digital forest cover map. Three methods, the pixel based classification with maximum likelihood (PML), the segment based classification with majority principle(SMP), and the segment based classification with maximum likelihood(SML), were applied to classify and delimitate forest cover of IKONOS imagery taken in May 2000 in a forested area in the central Korea. The segment-based classification was more suitable for classifying and deliminating forest cover in Korea using IKONOS imagery. The digital forest cover map in which each class is delimitated in the form of a polygon can be prepared on the basis of the segment-based classification.

• 농업과학연구
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• 제46권2호
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• pp.219-228
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• 2019

The forest of the Huaphanh Province (HP) has continued to decrease at 0.6% (10,560 ha) per year from 1992 to 2010. In the past few decades, the government of Laos and the Huaphanh Provincial Authority have been trying to address the root causes of deforestation. This study attempts to examine the factors effecting the decrease of the forest cover in the HP by analyzing the influence of the local socio-economic development and implementation of forest management policies on changes in the forest cover. The social data of the province focused on population growth and distribution between urban and rural areas including the number of poor people and the economic growth of three sectors, namely agriculture and forestry, industry, and service, while the implementation of the state forest management policy focused on the state forest management plan, tree plantation, forest land use planning and allocation to households, and shifting cultivation including annual upland rice and maize cultivation. In addition, government reports on socio-economic and rural development including poverty eradication of other provinces, where an increase in the forest cover was observed, were also collected and analyzed using qualitative and comparative analysis. The results from this study indicate that the decrease in forest cover in the Huaphanh Province appears to depend on a very slow economic growth and reduction in rural poverty of the province. The increase in the rural population in the province led to an increase in farm households and are as for shifting cultivation. As a result, forests were cleared leading to a decrease in the forest cover.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.1470-1472
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• 2003

Hyperion, as hyperspectral data, is carried on NASA’s EO-1 satellite, can be used in more subtle discrimination on forest cover, with 224 band in 360 ?2580 nm (10nm interval). In this study, Hyperion image is used to investigate the effects of topography on the classification of forest cover, and to assess whether the topographic correction improves the discrimination of species units for practical forest mapping. A publicly available Digital Elevation Model (DEM), at a scale of 1:25,000, is used to model the radiance variation on forest, considering MSR(Mean Spectral Ratio) on antithesis aspects. Hyperion, as hyperspectral data, is corrected on a pixel-by-pixel basis to normalize the scene to a uniform solar illumination and viewing geometry. As a result, the approach on topographic effect normalization in hyperspectral data can effectively reduce the variation in detected radiance due to changes in forest illumination, progress the classification of forest cover.

• Journal of Forest and Environmental Science
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• 제36권3호
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• pp.187-198
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• 2020

This study extracted deforestation area and degraded forestland area, which are potential REDD+ (Reducing Emissions from Deforestation and Forest Degradation) project candidate areas in Paraguay using Land Cover Map (LCM) and Tree Cover Map (TCM). The REDD+ project objectives scenarios were set three stages: 'afforestation and economic efficiency scenario', 'local capacity reinforcement scenario', and 'Infrastructure-oriented scenario'. And then, we evaluated the project unit suitable area of the REDD+ project. All scenarios selected the evaluation factors for each scenario in addition to the area ratio factors for deforestation area and degraded forestland area and weighted values were extracted by assigning category scores. As a result of the three scenarios comparison analysis, Concepcion state score was the highest. Within Concepcion state, the Belon district had the highest score, making it appropriate as a project unit REDD+ project candidate area in Paraguay, while the San Carlos district had the lowest score. This study can be used as basic data for selecting REDD+ project candidate area in Paraguay, and it is expected to contribute sufficiently to REDD+ project if additional data or information of social, cultural and economic sectors are secured.

• Journal of Forest and Environmental Science
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• 제37권4호
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• pp.269-279
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• 2021

This study was carried out to introduce the forest cover types of the Baekdudaegan inhabiting the number of native tree species. In order to understand the vegetation distribution characteristics of the Baekdudaegan, a vegetation survey was conducted on the major 20 mountains of the Baekdudaegan. The vegetation data were collected from 3,959 sample points by the point-centered quarter method. Each mountain was classified into 4-7 forests by using various multivariate statistical methods such as cluster analysis, indicator species analysis, multiple discriminant analysis, and species composition analysis. The forests were classified mainly according to the relative abundance of Quercus mongolica. There was a total of 111 classified forests and these forests were integrated into the following nine forest cover types using the percentage similarity index and by clustering according to vegetation type: 1) Mongolian oak, 2) Mongolian oak and other deciduous, 3) Oaks (Mixed Quercus spp.), 4) Korean red pine, 5) Korean red pine and oaks, 6) ash, 7) mixed mesophytic, 8) subalpine zone coniferous, and 9) miscellaneous forest. Forests grouped within the subalpine zone coniferous and miscellaneous classifications were characterized by similar environmental conditions and those forests that did not fit in any other category, respectively.