Liang Wanga,b, Jiping Liua,b, Shenghua Xub, Jinjin Dongc, Yi Yangd
Intelligent Automation & Soft Computing, Vol.24, No.2, pp. 391-398, 2018, DOI:10.1080/10798587.2017.1296660
Abstract Forest biomass is a significant indicator for substance accumulation and forest succession, and can
provide valuable information for forest management and scientific planning. Accurate estimations of
forest biomass at a fine resolution are important for a better understanding of the forest productivity
and carbon cycling dynamics. In this study, considering the low efficiency and accuracy of the existing
biomass estimation models for remote sensing data, Landsat 8 OLI imagery and field data cooperated
with the radial basis function artificial neural network (RBF ANN) approach is used to estimate the
forest Above Ground Biomass (AGB) in the Mount Tai area, Shandong… More >