植被覆盖度的提取方法研究综述

常用的植被覆盖度估算方法有地表实测和遥感监测两种,分析其特点及适用范围,得出如下结论:地表实测法由于人力、物力等诸多因素的制约,不适合在较大范围内作为唯一的测量方法推广,但可以对遥感监测精度评价和验证提供基础数据。回归模型法小范围内有较高精度,但对实测数据的依赖性较强。植被指数法与像元分解法,由于不受实测数据的制约,目前使用比较广泛,但在实际应用中,仍应根据地表情况,与其他方法综合使用,以便提高植被覆盖度提取精度。

Research on Extraction Method of Vegetation Coverage

Field measurement and remote sensing measurement are rudimental approaches to get vegetation coverage. To analyze its characteristics and scope of application, we can reach the following conclusions： due to the restriction of many factors such as manpower and material resources, field measurement is unfit popularized as a single method in a wide measurement range, but it can offer remote sensing monitoring accuracy evaluation and validation essential data. Regression model method has relatively high precision in a small scale but with a strong dependence of the measured data. Vegetation index method and image element decomposition method are widely used at present for they are not subject to measured data. But in practice, we should accord to the surface condition to combine with other methods to increase the vegetation coverage extraction accuracy.