TY - GEN
T1 - Estimation of aboveground carbon using KNN algorithm
T2 - 31st Asian Conference on Remote Sensing 2010, ACRS 2010
AU - Jung, Jae Hoon
AU - Hoe, Joon
AU - Yoo, Suhong
AU - Cho, Kyung Hun
AU - Kim, Kyung Min
AU - Lee, Jungbin
PY - 2010
Y1 - 2010
N2 - Forest biomass stores a large amount of terrestrial carbon and the need of periodic monitoring forest biomass has increased. kNN algorithm is one of the common method to estimate forest biomass and has been widely used for a variety of biomass mapping and applications. The objective of this study is to estimate aboveground carbon stock of Danyang area in South Korea. Field data from NFI and Landsat ETM+ satellite image were used, and carbon stock were estimated at k = 1 to 10. As a result, the lowest RMSE was found at k = 5, and the mean and the total carbon stock of Danyang area were estimated to be 28.33 ton C/ha and 2209748.91 t respectively.
AB - Forest biomass stores a large amount of terrestrial carbon and the need of periodic monitoring forest biomass has increased. kNN algorithm is one of the common method to estimate forest biomass and has been widely used for a variety of biomass mapping and applications. The objective of this study is to estimate aboveground carbon stock of Danyang area in South Korea. Field data from NFI and Landsat ETM+ satellite image were used, and carbon stock were estimated at k = 1 to 10. As a result, the lowest RMSE was found at k = 5, and the mean and the total carbon stock of Danyang area were estimated to be 28.33 ton C/ha and 2209748.91 t respectively.
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M3 - Conference contribution
AN - SCOPUS:84865625949
SN - 9781617823978
T3 - 31st Asian Conference on Remote Sensing 2010, ACRS 2010
SP - 1008
EP - 1010
BT - 31st Asian Conference on Remote Sensing 2010, ACRS 2010
Y2 - 1 November 2010 through 5 November 2010
ER -
