• 대한지리학회지
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• 제48권4호
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• pp.497-508
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• 2013

본 연구의 목적은 기후요소와 대기 에어로졸이 한반도 식물계절학적 특성에 미치는 영향을 위성자료 분석을 통해 규명하는 것이다. 매일 관측되는 위성관측 자료의 분석을 통해 지표관측이 갖는 식물계절학적 연구상의 시계열적 한계를 극복하고자 하였다. 연구결과에 따르면, 분석된 4개의 주요 산림생태계 중 상록수림, 낙엽수림, 초지는 서로 유사한 식물계절학적 특성을 보인 반면, 혼합림의 생장 패턴의 연도별변화는 상이하게 나타났다. 식생지수(VI)의 연중 진폭이 큰 삼림은 VI 연중 최대치에 보다 빨리 도달하는 것으로 조사되었지만, 동일 삼림생태계 내에서는 시계열적인 관련성이 나타나지 않았다. 식생지수의 위상(phase)은 VI 최대치가 관측되는 연중 시점을 의미하는데, 기온의 변화와 강한 상관성을 보였다. 에어로졸 광학두께(AOT)의 시계열변화는 연도별 변화뿐만 아니라 계절적 특징을 강하게 나타내었다. 일반적으로, 에어로졸 농도는 늦봄부터 초여름에 걸쳐 가장 높게 나타났다. 하지만 AOT의 연도별변화 패턴은 진폭과 위상 변화 측면에서 식생지수와 통계적으로 강한 상관관계를 보이지 않았다. 단지, AOT의 연중 진폭(amplitude)이 식생지수의 진폭과 미약한 상관관계를 보인 결과로 볼 때, 전반적인 에어로졸의 농도 변화가 식생활동에 영향을 미칠 개연성이 있다고 판단된다.

• 한국지역지리학회지
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• 제19권3호
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• pp.446-453
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• 2013

식물 계절현상을 이용한 축제는 생태계서비스의 한 형태로서 생태계와 인간이 문화적 요소를 통해 서로 상호작용을 하는 예이다. 봄철 식물의 계절현상을 이용한 대표적인 축제는 창원시 진해 군항제가 있다. 본 연구에서는 1987년부터 2013년까지의 벚나무의 계절학적 자료와 군항제 개최시기 및 방문자수를 조사하여 식물계절학과 지역축제와의 상관관계를 파악하였다. 또한 행사기간 중 기상조건 (평균기온, 최저 최고기온, 강수량, 강수일수)과 행사시기특성(년도, 휴일수-토, 일요일 수, 행사기간일수, 행사시작일-개화일 차이)을 파악하여 군항제 방문객수에 영향을 미치는 환경요인을 찾기 위해 노력하였다. 시계열분석 결과 지난 26년 동안 벚나무의 발아일과 개화일의 주기성을 보이지 않거나 나타나더라도 통계적으로 유의하지 않았다. 방문객의 수에 영향을 미치는 주요인으로는 기온, 일자(day), 강수요인이 추출되었다. 군항제기간의 기온이 방문객수에 영향을 미치는 것으로 나타났으나, 벚나무의 개화시기와 행사기간이 불일치하더라도 방문객 수의 차이는 없었다. 따라서 확실성이 떨어지는 개화시기를 맞춰 축제기간을 설정하기 보다는 행사기간을 고정하고 일부 유동적으로 실시할 수 있는 행사프로그램을 개발하고 실시하는 것이 군항제의 성공적인 운영에 도움을 줄 수 있을 것으로 보인다.

• 한국응용곤충학회지
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• 제47권3호
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• pp.209-216
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• 2008

지구온난화로 인한 나비 생활주기 변화를 파악하기 위해 광릉 숲에서 1958년과 2004년에 주별로 조사한 나비모니터링 자료를 분석하였다. 본 연구에서는 1958년에 비해 2004년에 나비류의 최초 출현시기와 평균 출현시기가 빨라졌는지, 출현기간이 길어졌는지를 검토하였다. 최초발생시기와 발생기간에서는 차이가 나타나지 않았고, 평균 출현시기에서는 느려진 종들이 오히려 많았다. 따라서 본 연구에서는 지구온난화로 예상되는 나비류 생활주기의 변화를 확인할 수 없었다. 기온 증가에도 불구하고, 예견되는 생활주기 변화가 나타나지 않은 원인을 검토하였다. 아울러 국내의 나비를 지구온난화 지표로 적절하게 활용하기 위해, 현재 나비상 연구에 있어서 문제점과 해결책을 검토하였다.

• The Korean Journal of Ecology
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• 제17권4호
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• pp.485-499
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• 1994

This study was focused on the effect of the altitude on the geographical variations of germination characteristics in the populations of Plantago asiatica L. distribute in Mt. Chiri. There was a significant difference among the 14 groups in the phenological pattern in relation to altitudes. When the altitude becomes higher, the thermal time which was required for 10 to 80% germination rate showed higher and wider distribution. On the other hand, the germination response of increasing temperature (IT) and secreasing temperature (DT) regime was classified into 3 group. The first group was the spering germination type. This group showed that the IT regime hadhigher germination rate than that of the DT regime, and was distributed in Macheon(300m) and Packmudong (500m). The second was the spring-fall germination type which was distributed in Hadong (900m) and Saemt대 (1100m). This group also showed higher germination rate in the IT regime, but the difference of the germination rate between IT and DT regime was less than that in the first group (the spring type). The third group was the early fall germination type which was found in the Nogodan (1507m), Changetomok (1750m) and Cheonwangbong (1915m). The germination rate of this group showed almost 100% similarity between IT and DT regime. These data suggested that the geographical varations of germination characteristics within species was an important ecological strategy for the survival from severe environmental conditions.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 1998년도 Proceedings of International Symposium on Remote Sensing
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• pp.201-206
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• 1998

In this paper, we have considered the method for clustering land cover types over the East Asia from AVHRR data. The feature vectors such that maximum NDVI, amplitude of NDVI, mean NDVI, and NDVI threshold are extracted from the 10-day composite by maximum value composite(MVC) for reducing the effect of cloud contaninations. To find the land cover clusters given by the feature vectors, we are adapted the self-organizing feature map(SOFM) clustering which is the mapping of an input vector space of n-dimensions into a one - or two-dimensional grid of output layer. The approach is to find first the clusters by the first layer SOFM and then merge several clusters of the first layer to a large cluster by the second layer SOFM. In experiments, we were used the 8-km AVHRR data for two years(1992-1993) over the East Asia.

• 대한원격탐사학회지
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• 제23권3호
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• pp.181-188
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• 2007

The objective of this research was to investigate the optimal land cover classification algorithm for the monitoring of North Korea with MODIS multi-temporal data based on monthly phenological characteristics. Three frequently used land cover classification algorithms, ISODATA1), SMA2), and SOM3) were employed for this study; the land cover categories were forest, grass, agricultural, wetland, barren, built-up, and water body. The outcomes of the study can be summarized as follows. First, the overall classification accuracy of ISODATA, SMA, and SOM was 69.03%, 64.28%, and 73.57%, respectively. Second, ISODATA and SMA resulted in a higher classification accuracy of forest and agricultural categories, but SOM performed better for the built-up area, bare soil, grassland, and water. A possible explanation for this difference would be related to the difference of sensitivity against the vegetation activity. This would be related to the capability of SOM to express all of their values without any loss of data by maintaining the topology between pixels of primitive data after classification, while ISODATA and SMA retain limited amount of data after normalization process. Third, we can conclude that SOM is the best algorithm for monitoring the land cover change of North Korea.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.679-681
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• 2003

The objectives of this research are as follows. First, to investigate methods for a national-scale land cover map based on multi-temporal classification of MODIS data and multi-spectral classification of Landsat TM data. Second, to investigate methods to p roduce ecological zone maps of Korea based on vegetation, climate, and topographic characteristics. The results of this research can be summarized as follows. First, NDVI and EVI of MODIS can be used to ecological mapping of the country by using monthly phenological characteris tics. Second, it was found that EVI is better than NDVI in terms of atmospheric correction and vegetation mapping of dense forests of the country. Third, several ecological zones of the country can be identified from the VI maps, but exact labeling requires much field works, and sufficient field data and macro-environmental data of the country. Finally, relationship between land cover types and natural environmental factors such as temperature, precipitation, elevation, and slope could be identified.

• 대한원격탐사학회지
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• 제22권3호
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• pp.175-182
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• 2006

Because of the phenological variation of vegetation growth in temperate region, it is often difficult to accurately assess the surface conditions of agricultural croplands, grasslands, and disturbed forests by multi-spectral remote sensor data. In particular, the spectral similarity between soil and dry vegetation has been a primary problem to correctly appraise the surface conditions during the non-growing seasons in temperature region. This study analyzes the spectral characteristics of the mixture of dry vegetation and soil. The reflectance spectra were obtained from laboratory spectroradiometer measurement (GER-2600) and from EO-1 Hyperion image data. The reflectance spectra of several samples having different level of dry vegetation fractions show similar pattern from both lab measurement and hyperspectral image. Red-edge near 700nm and shortwave IR near 2,200nm are more sensitive to the fraction of dry vegetation. The use of hyperspectral data would allow us for better separation between bare soils and other surfaces covered by dry vegetation during the leaf-off season.

• Journal of Ginseng Research
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• 제13권1호
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• pp.119-122
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• 1989

phenological study on the oviposition, emergence, and flight activity of the African mole cricket adult has been made to obtain basic information for management of pest populations in ginseng fields. The flight activity, as monitored by the blarklight trap, seemed to be initiated depending on the sunset time and lasted about 2-2.5 hours. The trap data (1984-1988) showed that the adult flight of the species occurred twice a year, from early May to late June(Spring flight) and from late August to mid October(Fall flight) during which usually more crickets were trapped than during the former period. The number of females trapped was greater than that of males regardless to the flight period, i.e., females comprised 72.2%, 83.9%, and 73.3% of the total catches in 1984, 1985, and 1986, respectively. Adults emerged from late August to mid October and laid eggs from mid May to mid July the next year, indicating that the spring and fall flights correspond to the oviposition and emergence period, respectively.

• 대기
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• 제20권4호
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• pp.415-426
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• 2010

A Land cover map over East Asian region (Kongju national university Land Cover map: KLC) is classified by using support vector machine (SVM) and evaluated with ground truth data. The basic input data are the recent three years (2006-2008) of MODIS (MODerate Imaging Spectriradiometer) NDVI (normalized difference vegetation index) data. The spatial resolution and temporal frequency of MODIS NDVI are 1km and 16 days, respectively. To minimize the number of cloud contaminated pixels in the MODIS NDVI data, the maximum value composite is applied to the 16 days data. And correction of cloud contaminated pixels based on the spatiotemporal continuity assumption are applied to the monthly NDVI data. To reduce the dataset and improve the classification quality, 9 phenological data, such as, NDVI maximum, amplitude, average, and others, derived from the corrected monthly NDVI data. The 3 types of land cover maps (International Geosphere Biosphere Programme: IGBP, University of Maryland: UMd, and MODIS) were used to build up a "quasi" ground truth data set, which were composed of pixels where the three land cover maps classified as the same land cover type. The classification results show that the fractions of broadleaf trees and grasslands are greater, but those of the croplands and needleleaf trees are smaller compared to those of the IGBP or UMd. The validation results using in-situ observation database show that the percentages of pixels in agreement with the observations are 80%, 77%, 63%, 57% in MODIS, KLC, IGBP, UMd land cover data, respectively. The significant differences in land cover types among the MODIS, IGBP, UMd and KLC are mainly occurred at the southern China and Manchuria, where most of pixels are contaminated by cloud and snow during summer and winter, respectively. It shows that the quality of raw data is one of the most important factors in land cover classification.