• 한국조류학회지
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• 제25권2호
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• pp.94-100
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• 2018

몽골의 초원이나 사막과 같은 개방지역에 설치된 송전선로에서 발생하는 조류 감전사고는 매우 흔하게 보고되고 있다. 본 연구는 조류피해조사를 위해 2017년 몽골 남부지역의 준사막 지역에 설치된 15-kV의 송전선로에 4월, 7월, 9월 등 총 3회에 걸쳐 조사를 실시하였다. 전체 250개의 전신주 구간에서 총 12종 45개체의 감전사한 조류를 확인하였다(10㎞마다 1.12% 사망률). 주요 감전 피해 조류는 멸종위기종인 Falco cherrug (n=11)와 Milvus migrans (n=11)로 나타났다. 본 연구지역과 같이 개방된 환경에서의 조류를 위한 잠자리 또는 휴식처의 부족은 보다 많은 조류의 감전사고를 발생시킬 수 있으며, 특히 몽골의 다른 개방지역에서도 발생할 수 있다. 사고현장에서 종동정이 어려운 개체의 경우, 시료의 유전자 증폭 등을 통해 DNA 분석을 실시하여 동정하였다. 본 연구결과 몽골의 개방지역에서 조류의 감전사고는 조류에게 발생하는 위험요소 중 높은 비율을 차지하고 있는 것으로 확인되었으며, 특히 맹금류에게 빈번하며, 간헐적으로 이동철새에게도 일어나고 있는 것으로 확인되었다. 개방된 지역일 경우 조류의 감전사고가 더 잘 발생할 수 있으며, 감전사고와 같은 조류의 위험요소를 보다 잘 이해하는 것은 멸종위기종과 같은 종보전에 기여할 수 있을 것으로 판단된다.

• 한국제4기학회지
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• 제19권2호
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• pp.13-17
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• 2005

The Khogno Khan mountain special protected area belongs to Khogno Khan subdistrict of Gurvanbulag district of Bulgan Province and is 46.9 sq.km. with its main feature being mountain forest zone. In this paper we present some results of research of the Anthropological and archaeological team of Mongolian Korean Joint research expeditions carryied out in Khogno Khan mountain special protected area from 27 July to 1 August, 2000. During archaeological reconnaissance we discovered around 27 localities of archaeological monuments belonging to different historical periods (from the Neolithic up to the Mongolian period, $13^{th}-17^{th}$ Century) in the territory of the Khogno Khan special protected area. Based on the results, we especially want to point out 1). The archaeological and historic monuments (from the Neolithic up to modern era) found in the Khogno Khan mountain and its surrounding area show that since the Neolithic period (around 8000 years ago) this area was occupied by the ancestors of Mongolians and it was used during subsequent historic periods on the one hand. 2). On the other hand the Khogno Khan mountain region was one area where there occurred intensive admixture between populations of Kurgan culture, Deerstone culture from the West Mongolia and the population of slab graves culture from Central and East Mongolia during Bronze and Early Iron Age. 3). Today the mountain is one of the area with a unique assemblage of archaeological monuments from different historic periods, what naturally seems like an open-air natural museum of Mongolian Prehistory.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2007년도 Proceedings of ISRS 2007
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• pp.426-429
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• 2007

One of the widely used applications of remote sensing studies is environmental change detection and biodiversity conservation. The study area Hustai Mountain is situated in the transition zone between the Siberian taiga forest and Central Mongolian arid steppe. Hustai National Park carries out one of several reintroduction programs of takhi (wild horse or Equus ferus przewalskii) from various zoos in the world and it represents one of a few textbook examples of successful reintroduction of an animal extinct in the wild. In this paper we describe the results of an analysis on the change of remaining forest area over the 7-year period since Hustai Mountain was designated as a protected area for reintroduction to wild horses. Today the forested area covers approximately 5% of the Hustai National Park, mostly the north-facing slopes above 1400 m altitude. Birch (Betula platyphylla) and aspen (Populus tremula) trees are predominant in the forest. We used Landsat ETM+ images from two different years and multi temporal MODIS NDVI data. Land types were determined by supervised classification methods (Maximum Likelihood algorithm) verified with ground-truthing data and the Land Change Modeler (LCM) which was developed by Clark Labs. Forested area was classified into three different land types, namely the forest land, mountain meadow and mountain steppe. The study results illustrate that the remaining birch forest has rapidly changed to fragmented forest land and to open areas. Underlying causes for such a rapid change during the 15-year period may be manifold. However, the responsible factors appear to be the drying off and outbreak of forest pest species (such as gypsy moth or Lymantria dispar) in the area.

• International Journal of Knowledge Content Development & Technology
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• 제7권1호
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• pp.57-78
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• 2017

There are several statistical classification algorithms available for land use/land cover classification. However, each has a certain bias or compromise. Some methods like the parallel piped approach in supervised classification, cannot classify continuous regions within a feature. On the other hand, while unsupervised classification method takes maximum advantage of spectral variability in an image, the maximally separable clusters in spectral space may not do much for our perception of important classes in a given study area. In this research, the output of an ANN algorithm was compared with the Possibilistic c-Means an improvement of the fuzzy c-Means on both moderate resolutions Landsat8 and a high resolution Formosat 2 images. The Formosat 2 image comes with an 8m spectral resolution on the multispectral data. This multispectral image data was resampled to 10m in order to maintain a uniform ratio of 1:3 against Landsat 8 image. Six classes were chosen for analysis including: Dense forest, eucalyptus, water, grassland, wheat and riverine sand. Using a standard false color composite (FCC), the six features reflected differently in the infrared region with wheat producing the brightest pixel values. Signature collection per class was therefore easily obtained for all classifications. The output of both ANN and FCM, were analyzed separately for accuracy and an error matrix generated to assess the quality and accuracy of the classification algorithms. When you compare the results of the two methods on a per-class-basis, ANN had a crisper output compared to PCM which yielded clusters with pixels especially on the moderate resolution Landsat 8 imagery.