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Estimation of Above-Ground Biomass of a Tropical Forest in Northern Borneo Using High-resolution Satellite Image

첫 페이지 보기
  • 발행기관
    강원대학교 산림과학연구소 바로가기
  • 간행물
    Journal of Forest and Environmental Science KCI 등재후보 바로가기
  • 통권
    제30권 제2호 (2014.05)바로가기
  • 페이지
    pp.233-242
  • 저자
    Mui-How Phua, Zia-Yiing Ling, Wilson Wong, Alexius Korom, Berhaman Ahmad, Normah A. Besar, Satoshi Tsuyuki, Keiko Ioki, Keigo Hoshimoto, Yasumasa Hirata, Hideki Saito, Gen Takao
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A219425

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4,000원

원문정보

초록

영어
Estimating above-ground biomass is important in establishing an applicable methodology of Measurement, Reporting and Verification (MRV) System for Reducing Emissions from Deforestation and Forest Degradation-Plus (REDD+). We developed an estimation model of diameter at breast height (DBH) from IKONOS-2 image that led to above-ground biomass estimation (AGB). The IKONOS image was preprocessed with dark object subtraction and topographic effect correction prior to watershed segmentation for tree crown delineation. Compared to the field observation, the overall segmentation accuracy was 64%. Crown detection percent had a strong negative correlation to tree density. In addition, satellite-based crown area had the highest correlation with the field measured DBH. We then developed the DBH allometric model that explained 74% of the data variance. In average, the estimated DBH was very similar to the measured DBH as well as for AGB. Overall, this method can potentially be applied to estimate AGB over a relatively large and remote tropical forest in Northern Borneo.

목차

Abstract
 Introduction
 Materials and Methods
  Study area
  Field data collection
  Satellite image and processing
  Topographic effect correction
  Atmospheric correction
  Tree crown delineation
  Goodness measures of satellite-based crown delineation
  Statistical analyses for above-ground biomass estimation
 Results
  Tree crown detection
  Correlations among satellite-based and field measured variables
  DBH estimation model
  Above-ground biomass estimation
 Discussion
 Conclusion
 Acknowledgements
 References

키워드

tree crown delineation biomass estimation IKONOS-2

저자

  • Mui-How Phua [ School of International Tropical Forestry, Universiti Malaysia Sabah, Jalan UMS, 88400 Kota Kinabalu, Sabah, Malaysia ] Corresponding author
  • Zia-Yiing Ling [ School of International Tropical Forestry, Universiti Malaysia Sabah, Jalan UMS, 88400 Kota Kinabalu, Sabah, Malaysia ]
  • Wilson Wong [ School of International Tropical Forestry, Universiti Malaysia Sabah, Jalan UMS, 88400 Kota Kinabalu, Sabah, Malaysia ]
  • Alexius Korom [ School of International Tropical Forestry, Universiti Malaysia Sabah, Jalan UMS, 88400 Kota Kinabalu, Sabah, Malaysia ]
  • Berhaman Ahmad [ School of International Tropical Forestry, Universiti Malaysia Sabah, Jalan UMS, 88400 Kota Kinabalu, Sabah, Malaysia ]
  • Normah A. Besar [ School of International Tropical Forestry, Universiti Malaysia Sabah, Jalan UMS, 88400 Kota Kinabalu, Sabah, Malaysia ]
  • Satoshi Tsuyuki [ Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo 113-8657, Japan ]
  • Keiko Ioki [ Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo 113-8657, Japan ]
  • Keigo Hoshimoto [ Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo 113-8657, Japan ]
  • Yasumasa Hirata [ Forestry and Forest Products Research Institute (FFPRI), Tsukuba 305-8687, Japan ]
  • Hideki Saito [ Forestry and Forest Products Research Institute (FFPRI), Tsukuba 305-8687, Japan ]
  • Gen Takao [ Forestry and Forest Products Research Institute (FFPRI), Tsukuba 305-8687, Japan ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    강원대학교 산림과학연구소 [Institute of Forest Science Kangwon National University]
  • 설립연도
    1975
  • 분야
    농수해양>임학
  • 소개
    강원대학교부설산림과학연구소(이하 “연구소”라 한다)는 산림에 관한 제반 학술적 연구를 통하여 산림자원의 효용을 밝히고 임업 및 임산업의 발전에 기여함을 목적으로 한다.

간행물

  • 간행물명
    Journal of Forest and Environmental Science [산림과학연구]
  • 간기
    계간
  • pISSN
    2288-9744
  • eISSN
    2288-9752
  • 수록기간
    1981~2025
  • 등재여부
    KCI 등재
  • 십진분류
    KDC 526 DDC 634

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