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本文报道了应用多重极化Ｌ－波段合成孔径雷达（ＳＡＲ）数据估测森林生物量、冠层结构和树种组成的主要研究成果。ＳＡＲ数据与树高、胸径、植株密度、方位和样地几何形状等因素呈显著相关（Ｐ＝０．０５或Ｐ＝０．０１），特别能反映硬阔叶林分子其它森林树种组间林冠特征差异（包括分枝形态、树冠重量和面积）、主要树种组内、树种组间与林分结构的变化（包括树高、植株胸径和密度）以及一些低生物量和部分疏林地与潮湿土壤及枯枝落叶层的分布和裸露程度。
In this paper, we report the main research results of estimating forest biomass, canopy structure and species composition using multi-polarization L-band synthetic aperture radar (SAR) data. SAR data were significantly correlated with tree height, DBH, plant density, azimuth and the geometry of the plot (P = 0.05 or P = 0.01), especially reflecting the canopy of other forest tree species in the hardwood forest Differences in characteristics (including branching morphology, canopy weight and area), changes in tree species composition and stand structure (including tree height, plant DBH and density) within major tree species groups, and some low biomass and partially woodland and wet soil And litter layer distribution and the degree of nudity.