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    Quickbird 영상에 의한 소나무의 유역단위 식생탄소저장능력 추정 = Estimation of Vegetation Carbon Storage of Pinus densiflora in Watershed Level Using Quickbird Imagery

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    https://www.riss.kr/link?id=A109157678

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    Total forest carbon storage can be classified into vegetation carbon storage (VCS) and soil carbon storage (SCS). These VCS and SCS can be indirectly estimated by tree size and age and stand density. This study suggested an approach for estimating VCS of Pinus densiflora in watershed level. Spatial distribution of P.densiflora was prepared through supervised classification of Quickbird imagery. The pixel based distribution of P.densiflora was segmented in watershed level which was prepared in GIS. Mean crown diameter for each watershed was estimated and used for estimating number of P.densiflora for each watershed. DBH was estimated using relationship between DBH and crown diameter which was prepared by field survey. VCS could be estimated in watershed level in the way that the DBH and number of P.densiflora in each watershed fit to the VCS estimation function. Our approach can be used for up-scaling plot based VCS to the VCS distribution in watershed level.
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    Total forest carbon storage can be classified into vegetation carbon storage (VCS) and soil carbon storage (SCS). These VCS and SCS can be indirectly estimated by tree size and age and stand density. This study suggested an approach for estimating VCS...

    Total forest carbon storage can be classified into vegetation carbon storage (VCS) and soil carbon storage (SCS). These VCS and SCS can be indirectly estimated by tree size and age and stand density. This study suggested an approach for estimating VCS of Pinus densiflora in watershed level. Spatial distribution of P.densiflora was prepared through supervised classification of Quickbird imagery. The pixel based distribution of P.densiflora was segmented in watershed level which was prepared in GIS. Mean crown diameter for each watershed was estimated and used for estimating number of P.densiflora for each watershed. DBH was estimated using relationship between DBH and crown diameter which was prepared by field survey. VCS could be estimated in watershed level in the way that the DBH and number of P.densiflora in each watershed fit to the VCS estimation function. Our approach can be used for up-scaling plot based VCS to the VCS distribution in watershed level.

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