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提出了一种多卫星载荷探测归一化差异植被指数(NDVI)的差异定量分析与改正新方法.该方法集成PROSPECT模型、SAIL模型和MODTRAN大气辐射传输模型来模拟不同卫星载荷的遥感信号,使用遥感模拟信号而非实际卫星图像进行NDVI差异分析和改正.信号模拟中考虑了传感器光谱响应和大气条件的影响,对国内外的30种卫星载荷探测NDVI的差异进行了定量分析.最后,针对不同卫星载荷探测NDVI之间存在的差异,利用模拟数据建立了地面能见度分别为10,23,50km大气条件时30种国内外主要卫星载荷NDVI值间的相互转换关系.本文方法对多载荷NDVI应用分析具有一定的理论及实用意义.
A new method of quantitative analysis and correction of normalized difference vegetation index (NDVI) for multi-satellite payload detection is proposed.The method incorporates PROSPECT model, SAIL model and MODTRAN atmospheric radiation transmission model to simulate remote sensing signals with different satellite loads, Remote sensing analog signals rather than the actual satellite image NDVI differential analysis and correction.Signal simulation taking into account the sensor spectral response and atmospheric conditions, the domestic and foreign 30 kinds of satellite payload detection NDVI differences were quantitatively analyzed.Finally, for different Satellites NDVI NDVI, the relationships between the NDVI values of the 30 main satellites at home and abroad were established by using the simulated data, and the application of multi-load NDVI Has a certain theoretical and practical significance.