執行成果摘要
Remote sensing recently is an important tool and economic advantages for forest management that has high efficiency for investigation in large spatial scales of forest resources. United Nations organizations calls upon to use remote sensing techniques to monitor and assess the large-scale changes in forest resources. Therefore, for improving to understand resource productivity that should use the advantages of remote sensing technology to research and development mapping the plantation productivity map, monitoring and evaluation of the technology in different forest types. Large-scale distribution of forest resources and the amount of stand volume information is the basic data for sustainable management of forestry. To assessment and monitoring technology for telemetry plantation productivity and structural change to obtain real status as an urgent and important work. According to results of age structure analysis in study area, that above 60% plantations were exceeded 30 yr. The average of stand density and canopy diameters status revealed canopy was closed. The index of structure displayed homogeneity of variance in vertical structure, but varies of variance in horizontal structure. The mean of stand volume is 215.5 m3ha-1. The fraction of green vegetation(GV), non-green vegetation(NGV) and shadow(S) obtained from spectral mixture analysis, that the fraction of shadow related with volume has the highest R2 in all regression model(R2=0.68,p＜0.05). The stand volume were 20911.55 m3 and 19274.09 m3 was estimated by field investigated and shadow fraction. The overall stand volume estimation of remote sensing was underestimated about 7.83% compared with field investigated. This project focuses on the development of telemetry plantation resources assessment and monitoring techniques. Quantify the status of large-scale plantation resources data, and mapping productivity stand structure map, provided to the project planning and preparation of plantation harvesting policy adjustment and management.