中文摘要：

研究了北京市森林生物量遥感估测模型的构建和合理性判断。建立森林生物量模型所需的各种数据,包括2012年的资源三号卫星影像数据和实测样地调查数据。采用9格法提取的遥感影像信息,其中影像的纹理因子作为建模因子之一,与光谱因子、地形因子一起与实地样地数据建立生物量模型,进行生物量反演,通过精度分析,分别建立整个北京市针叶林和阔叶林的森林生物量反演模型,其相关系数分别为0.82、0.71,拟合估测精度分别为76.75%、80.02%,为提高林业调查的效率与精度提供一种方法。

英文摘要：

Establishment of the remote sensing estimation models and their rational judgment of forest bio mass in Beijing were investigated. Different data for the establishment were extracted, including the 2012 ZY-3 satellite image data and field measurements of plot investigation data. Nine lattice method was adopt- ed for the extraction of remote sensing image information. Texture factor of remote sensing image was used as one of factors for the establishment of models, others included spectral factor, terrain factor, and field plot data, by which the estimation models for forest biomass were established, and forest biomass inversion was conducted. Through the precision analysis, inversion models of forest biomass of broadleaved and coniferous forests in Beijing were established, with correlation coefficients of 0.82 （broadleaved） and 0.71 （coniferous）, fitting estimation accuracy of 76.75%, 80.02%. The results would provide a method to improve the efficiency and accuracy of the forest investigation.