Assessment of biochemical concentrations of vegetation using remote sensing technology

The main biochemicals (such as lignin, protein, cellulose, sugar, starch, chlorophyll and water) of vegetation are directly or indirectly involved in major ecological processes, such as the functions of terrestrial ecosystems (i.e., nutrient-cycling processes, primary production, and decomposition). Remote sensing techniques provide a very convenient way of data acquisition capable of covering a large area several times during one season, so it can play a unique and essential role provided that we can relate remote sensing measurements to the biochemical characteristics of the Earth surface in a reliable and operational way. The application of remote sensing techniques for the estimation of canopy biochemicals was reviewed. Three methods of estimating biochemical concentrations of vegetation were included in this paper: index, stepwise multiple linear regression, and stepwise multiple linear regression based on a model of the forest crown. In addition, the vitality and potential applying value are stress

应用遥感技术评价植被生化物质含量的研究进展

植物叶片中的各种生化物质 (包括叶绿素、叶黄素、类胡萝卜素等色素 ,N、P、K等营养物质 ,纤维素、半纤维素、木质素、蛋白质、淀粉、糖和油等 )都直接或间接地参与生物地球化学循环。为进一步理解生态系统功能 ,必须对不同时间、不同空间的这些参数进行调查。遥感技术为获取多时相、大范围数据提供了极大的方便 ,在地表植被生化特征测定方面发挥着重要的作用。 2 0世纪 80年代以来 ,世界各国相继推出了机载和星载高光谱传感器 ,高光谱遥感技术为植被生化物质的遥感开辟了新局面。本文从植被光谱特征出发 ,总结了目前生化参数遥感中的植被指数、导数光谱、红边位移分析和连续统去除等基本光谱处理方法 ,重点介绍了统计回归模型和光学 -几何模型在植被生化物质含量遥测中的应用。对现有利用遥感技术研究植被生化物质含量的研究进行了综合评述 。