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在中尺度对地观测系统中,Landsat和ASTER数据无疑是使用得最多的遥感影像数据,但是长期以来二者植被指数之间的定量关系并不清楚。因此,利用三对同日过空的Landsat ETM+和ASTER影像来考察二者植被指数(NDVI、SAVI)之间的定量关系,重点查明二者之间的差异。通过将ETM+与ASTER影像的多光谱波段的灰度值转换成传感器处反射率,并对其进行回归分析来求出二者植被指数之间的定量关系和转换方程。研究发现,尽管ETM+与ASTER的植被指数之间具有显著的线性正相关关系,但是二者在光谱响应函数上的不同造成ASTER影像的植被指数信号总体上弱于EMT+的植被指数信号。利用所求的转换方程对两种传感器的植被指数进行互为转换,其转换的精度较高,RMSE都小于0.04。 更多还原

【Abstract】 The present paper investigates the quantitative relationship between the NDVI and SAVI vegetation indices of Landsat and ASTER sensors based on three tandem image pairs.The study examines how well ASTER sensor vegetation observations replicate ETM+ vegetation observations,and more importantly,the difference in the vegetation observations between the two sensors.The DN values of the three image pairs were first converted to at-sensor reflectance to reduce radiometric differences between two senso... 更多还原