Author(s): WANG Cong, DU Hua-qiang, ZHOU Guo-mo, XU Xiao-jun, SUN Shao-bo, GAO Guo-long, Zhejiang Provincial Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration, Zhejiang A&F University, School of Environmental and Resources Science, Zhejiang A&F University
Pages: 1501-1509
Year: 2015 Issue:  5
Journal: Chinese Journal of Applied Ecology
Keyword:  unmanned aerial vehicle imagery(UAV); crown closure; geometric-optical model; linear spectral mixture analysis(SMA);
Abstract: This research focused on the application of remotely sensed imagery from unmanned aerial vehicle( UAV) with high spatial resolution for the estimation of crown closure of moso bamboo forest based on the geometric-optical model,and analyzed the influence of unconstrained and fully constrained linear spectral mixture analysis( SMA) on the accuracy of the estimated results. The results demonstrated that the combination of UAV remotely sensed imagery and geometric-optical model could,to some degrees,achieve the estimation of crown closure. However,the different SMA methods led to significant differentiation in the estimation accuracy. Compared with unconstrained SMA,the fully constrained linear SMA method resulted in higher accuracy of the estimated values,with the coefficient of determination( R2) of 0. 63 at 0. 01 level,against the measured values acquired during the field survey. Root mean square error( RMSE) of approximate 0. 04 was low,indicating that the usage of fully constrained linear SMA could bring about better results in crown closure estimation,which was closer to the actual condition in moso bamboo forest.