• 제목/요약/키워드: Reflexibility

검색결과 12건 처리시간 0.013초

경기도 광주지역 잣나무 침엽의 분광특성에 관한 연구 (A Study on Spectral Characteristics of Korean White Pine (Pinus koraiensis $S_{IEB}$ et. $Z_{UCC}$) Needles in Gwangju-gun, Kyunggi-do, Korea)

  • 주영특;김영채;정동준;김홍률
    • 한국농림기상학회지
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    • 제1권2호
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    • pp.103-109
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    • 1999
  • This study was carried out to investigate spectral characterisistics and chlorophyll contents of Pinus koraiensis needles in Gwangju-gun, Kyunggi-do. In spectrum analysis by each age, needle showed difference on 700∼1,100 nm(NIR : near infrared ray). Light reflexibility keeps constant between 1st year needle and 3rd year needle, current year needle's value was higher than others and that was higher for 400∼500 nm and 600∼700 nm at 550 nm. Transmission to needle's age showed the highest result in current year needle. It showed in order of current, 1st, 2nd and 3rd year needle at 550 nm and 750 nm. Especially, current year needles of Pinus koraiensis showed a tendency to change transmission coefficient in NIR. The result of transmission coefficient measurement by each position of slope showed in order of middle slope, upper slope and lower slope. But the gathered needle in middle slope made marked change at NIR. Chlorophyll a content of the upper slope's needles was higher than other 4 positions but a component ratio was lower. In needle of the oppressed tree, Chlorophyll a content was rather low than others. Chlorophyll a content by slope positions, the upper slope's needle showed a highest value(4.48 mg/g) and lower slope was lowest value(1.35 mg/g). Chlorophyll b content also showed a similar tendency to chlorophyll a and chlorophyll(a+b) contents.

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Landsat-7 ETM+영상을 이용한 안성지역의 불투수도 추정 (Impervious Surface Estimation Using Landsat-7 ETM+Image in An-sung Area)

  • 김성훈;윤공현;손홍규;허준
    • 대한원격탐사학회지
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    • 제23권6호
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    • pp.529-536
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    • 2007
  • 불투수도는 도시화, 환경변화를 추정하기 위한 중요한 지수로서 도시 기후 변화, 홍수기철 도시 범람의 증가, 홍수 모델링에 영향 등 도시의 홍수 기상학과 수문학적인 변화와 매우 밀접한 관계가 있다. 본 연구에서는 안성지역 일대를 대상으로 하여 Landsat ETM+ 영상을 이용한 불투수도 작성을 시도하였다. 학습 및 검수자료는 고해상도 영상인 IKONOS 영상을 이용하였으며, Landsat ETM+ 영상에 대한 위성반사율을 이용하여 tasseled cap과 NDVI로 전환하고 다양한 변수들이 불투수도에 미치는 영향을 분석하였다. 그리고 Regression Tree 알고리즘에 따라 불투수도 추정식을 개발하여 지도화하였다.