摘要
指出了随着遥感技术的发展,植被覆盖度作为定量描述地表植被覆盖情况的重要参数、生长状况的指标、植被覆盖的直观指示因子,已广泛应用在自然地理空间的土壤圈、大气圈、水圈、生物圈范围及这些圈层相互作用的各类研究中。基于目前常用的遥感数据,从植被指数、数据挖掘技术两方面分类归纳了植被覆盖度的估算方法及遥感数据源,对比分析了其优缺点及存在问题,并对基于遥感的植被覆盖度今后的研究方向及发展趋势进行了展望。
With the development of remote sensing,vegetation coverage,which is one of the most important parameter and index to quantitatively describe the surface vegetation coverage and its growth conditions and is also a visual and indicative factor of vegetation coverage,has been widely applied in the geographical space such as pedosphere,atmosphere,hydrosphere,biosphere and all kinds of studies of these spheres interacting.On the basis of the current commonly used remote sensing data,this article not only classifies the present methods of estimating vegetation coverage and remote sensing data sources from two aspects of vegetation index and data mining technology but also compares and analyzes their advantages and disadvantages as well as existing problems.In addition,the future research direction and trend of vegetation coverage based on remote sensing has been prospected.
出处
《绿色科技》
2015年第3期10-14,共5页
Journal of Green Science and Technology
关键词
遥感
植被覆盖度
植被指数
混合像元分解
remote sensing
vegetation coverage
vegetation index
decomposition of mixed pixels