Remote Sensing Estimation Of Forest Biomass In Beijing-Yanqing Based On SPOT5

Forest makes a main part of the terrestrial ecosystems, whose biomass takes up around 90 percent of the whole land. As a result, a better understanding of the biomass and its distribution around the world plays an import role in the research of the global climatic change and the scientifically evaluation of forest ecosystems'contribution in the global circulationThis article takes Yanqing county of Beijing as an object of study to analyze seven types of woods'related SPOT data, derivative data and terrain data. According to the specific condition, I collect terrain data, ground survey data, and SPOT remote sensing data of the same period in order to compute seven kinds of main woods'biomass and establish remote sensing estimation model of biomass according to the types of the forest.(1)The density of biomass of five main forests in Yanqing Mountain were 55.83 t/hm-2,39.55t/hm-2,63.87 t/hm-2,40.64 t/hm-2,98.76 t/hm-2 in sequence,in addition,the biomass of five dominant forest species were 1938780.50t,309960.79t,802743.71t,424945.34t,733253.50t respectively.The density of mean biomass of tree layer of five stand in Yanqing County was 50.22t/hm-2,total biomass of tree layer of stand in Yanqing County was 3721953.639T.(2) Compared the correlation of biomass with topographic data,SPOT data and its derived data and correlation analysis between the selecting and biomass correlation good estimation and factors of biomass modeling accuracy testing.(3) the inversion model, through the establishment of Beijing yanqing county seven kinds of main forest types of space distribution pattern are analyzed and compared.