摘要
合成孔径雷达(SAR)对森林冠层具有一定的穿透能力,可以获取与蓄积量最相关的部分(枝和干)的信息,被广泛应用于森林蓄积量估测。利用黑龙江省逊克县2003年的林业小班数据和2007年5个时相的ALOS PALSAR数据,通过分析散点图研究了季节和极化方式等对SAR数据与蓄积量关系的影响,并基于森林的雷达散射模型——水云模型进行了解释。结果表明:HV极化后向散射系数与蓄积量相关性优于HH极化,夏季干燥条件下后向散射系数与蓄积量相关性高于冬季。冬季46d间隔的干涉相干性与蓄积量呈明显的负相关,相关系数高于夏季的相干性甚至后向散射系数。根据研究结果,冬季干涉相干性数据是基于L波段SAR蓄积量估测的最佳选择。
Because Synthetic Aperture Radar（SAR）can penetrate into forest canopy and interact with the primary stem volume contents of the trees （trunk and branch）,SAR data are widely used for forest stem volume estimation. This paper investigated the correlation between SAR data and forest stem volume in Xunke, Heilongjiang using the stand-wise forest inventory data in 2003 and ALOS PALSAR data for five dates in 2007. The influences of season and polarizations on the relationship between stem volume and SAR data were studied by analyzing the scatterplots;that was followed by interpretation of the mechanisms primarily based on a forest radar backscattering / model-water cloud model. The results showed that the relationship between HV polarization backscatter and stem volume is better than HH polarization,and SAR data in summer dry conditions are more correlated to stem volume than the data acquired in other conditions. The interferometric coherence with 46-day temporal baseline is negatively correlated to the stem volume. The correlation coefficients from winter coherence are higher than those from summer coherence and backscatter. The study results suggest using the interferometric coherence in winter as the best choice for forest stem volume estimation with I;band SAR data.
出处
《遥感技术与应用》
CSCD
北大核心
2013年第5期871-878,共8页
Remote Sensing Technology and Application
基金
国家自然科学基金项目(41101381)资助
