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在对地观测系统中,Landsat和EO-1数据比较适合于监测城市水体变化。但是这两种传感器数据的水体指数之间的关系不清楚,针对这一问题。该文利用两对同日过空的Landsat-7ETM+与EO-1ALI影像来查明二者水体指数之间的定量关系,通过回归统计分析来求出两种传感器水体指数之间的转换方程。结果表明,Landsat-7ETM+与EO-1ALI影像分别基于DN数据、IACM反射率数据计算的MNDWI水体指数间,均存在较好的线性相关关系,决定系数均在0.75以上;基于EO-1ALI的MNDWI指数影像信息更为丰富,因为其动态范围大于Landsat-7ETM+。
In the Earth observation system, Landsat and EO-1 data are more suitable for monitoring urban water changes. However, the relationship between the water indices of the two sensor data is unclear and addresses this issue. In this paper, two pairs of empty Landsat-7ETM + and EO-1ALI images were used to determine the quantitative relationship between the two water indices. The results show that there is a good linear correlation between Landsat-7ETM + and EO-1ALI images based on the DN data and the IACM reflectance data, and the determination coefficients are both above 0.75. The MNDWI index based on EO-1ALI Image information is more abundant because of its dynamic range greater than Landsat-7ETM +.