Study on Site Selection of A/R CDM Using LiDAR Data Cui Gui Shan, Tae Jin Park, Woo Kyun Lee, Jong Yeol Lee, Doo Ahn Kwak, Han Bin Kwak
Verifying about eligibility of targeted site is necessary for execute
Afforestation and Reforestation Clean Development Mechanism (A/R CDM) project
which is followed by system of Kyoto protocol. The site have to be identified by
which could not be in conformity with definition of forest. This study tried to
propose a technology of classify for site selection of A/R CDM. We chose several
parts of Yangpyeng as study area and applied LiDAR data and remotely sensed
imagery for considering about tree height, degree of crown closure, and land
area which 3 factors for identify forest. LiDAR data was used for offset the
shortage of remotely sensed imagery that cannot perfectly determine the forest
definition due to absence of 3-dimentional information, but can be obtained from
LiDAR. Considering tree height, degree of crown closure, and land area
simultaneously by moving window, classified fields to forest and non forest
based on pixel size. As a result, 124.06 ha for suitable to doing plantation and
approximately 357.02 ha are in negative. Technology that applied for analyzing
will provide fundamental methodology not only site selection for A/R CDM, but
will be utilized in other Kyoto protocol.
Key words; A/R CDM, LiDAR, tree height, land size, crown cover, plantable area | 