摘要
基于典型时段骆马湖Landsat TM遥感影像,利用归一化植被指数(NDVI)法对骆马湖水生植被进行分级研究。采用标准差分级方法,将骆马湖水生植被分为5个等级。研究结果表明,利用这种分级方法处理的图像能够较准确地反映骆马湖水生植被区域分布和等级分区,能够更准确地给出采砂区和生态保护区域的位置,增强湖区水生态环境保护工作的有效性和针对性。
Based on a typical period of Luoma Lake Landsat images, and using normalized difference vegetation index （NDVI） , the aquatic vegetation classification research on Luoma Lake was carried out. Using the standard deviation and classification method, the Luoma Lake aquatic vegetation was divided into 5 grades. The results showed that, the images processed by this classification method could more accurately reflect the level of regional distribution and aquatic vegetation in Luoma Lake, more accurately position mining district and ecological protection areas, and improve ecological and environmental conservation work.
出处
《环境监测管理与技术》
2014年第2期30-32,共3页
The Administration and Technique of Environmental Monitoring
关键词
水生植被
分级
归-化植被指数
遥感技术
骆马湖
Aquatic vegetation
Classification
Normalized difference vegetation index （NDVI）
Remote sensing technique
Luoma Lake
