摘要
论及以FCD模型原理提取植被覆盖率的方法;同时,针对SPOT影像的波段特征,重新构造了相关指数:植被指数(VI)、裸土指数(BI)和阴影指数(SI),并在ERDAS软件系统上对该方法进行了实验。然后,通过野外实地考察,应用 GPS、数码相机等进行实地采点,并对该方法得出的结果进行了验证。结果表明,总体精度达到了80％以上,说明该方法具有较高的提取精度,能满足大中尺度的植被覆盖率调查要求。
A method based on FCD model is adopted for estimation of vegetation density. FCD model is mainly applied to Landsat-TM imagery until now. So in this paper, the method is developed for SPOT imagery and three indexes are modified： vegetation index（VI）, bare soil index （BI）, and shadow index （SI）. Then the method is implemented in ERDAS software system. In order to verify the estimation accuracy, we did much field work, with the aids of GPS, digital camera, etc. The result shows that the accuracy of this method for vegetation density is more than 80% in all, which indicates that the developed method based on FCD model is efficient, simple and economical and suits to SPOT imagery. The method meets the requirement of macro-scale monitoring vegetation density.
出处
《地球信息科学》
CSCD
2005年第4期113-116,共4页
Geo-information Science
基金
福建省自然科学基金项目(D0410013)资助。
