摘要
遥感定量分析方法能够通过生物量相关因子直观反映路域植被的生长过程,为探索公路建设运营对自然环境的影响及其影响的复杂性提供强有力的技术手段。利用高分辨率IKONOS影像,研究两种遥感解译方法反演路域植被叶面积指数(LAI),对比分析其结果与精度,探索适用于路域生态环境这一特殊生态区域植被LAI的反演方法。研究表明,物理模型法较经验模型法更具有适普性和准确性,更适用于路域植被LAI的反演,精度更高。
Through the growth process of biomass, remote sensing quantitative analysis method can directly reflect the correlation fac- tor of road vegetation, provide a powerful technical tool for exploring the road construction and operation of the impact on the natural environment and the influence of the complexity. By using the high resolution IKONOS image, the paper studies two kinds of interpre- tation of remote sensing inversion methods of road vegetation leaf area index （LAI）, and conducts the comparative analysis of the re- sults and precision, inversion method exploration for the ecological environment of this special ecological region vegetation LAI. The research shows that, the physical model is more general and accurate than the empirical model, and the inversion is more suitable for road vegetation LAI with higher precision.
出处
《测绘与空间地理信息》
2013年第11期1-5,共5页
Geomatics & Spatial Information Technology
基金
湖南省自然科学基金项目(12JJ6031)
国家自然科学基金项目(41171397)资助
关键词
遥感
路域生态
LAI
物理模型
经验模型
定量反演
remote sensing
road territory ecology
LAI
physical model
empirical model
quantitative inversion
