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Atmospheric effects on vegetation indices of TM and ETM+ images from a tropical region using the 6S model

机译:使用6S模型对热带地区TM和ETM +图像植被指数的大气影响

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Vegetation indices have been widely used for monitoring vegetation and to estimate vegetation biophysical parameters. The atmosphere affects differently sensor bands depending on the waveband, thus affecting the indices obtained from top of the atmosphere reflectances. The objective of this paper is to evaluate the atmospheric effects on the NDVI and SAVI using the 6S model adapted for atmospheric correction of images of eight bits digital numbers. Images from the TM and ETM+ sensors of the same area were corrected for the atmosphere and the vegetation indices were compared with those from noncorrected images. For these images the results show that the vegetation indices at the top of the atmosphere were lower than those from the surface. This underestimation of the vegetation indices due to the atmosphere is attributed to a higher absorption of radiation in the near infrared than in the red spectral region. This is exceptionally pronounced on tropical atmospheres where absorption by water vapor tends to be higher than in mid-latitudes. It is concluded that atmospheric correction is necessary when calculating vegetation indices over tropical regions and the adapted 6S model is suitable for this task.
机译:植被指数已被广泛用于监测植被和估算植被生物物理参数。大气会根据波段影响传感器波段,从而影响从大气反射率顶部获得的指标。本文的目的是使用6S模型评估大气对NDVI和SAVI的影响,该模型适用于8位数字数字图像的大气校正。对来自同一区域的TM和ETM +传感器的图像进行了大气校正,并将植被指数与未校正图像进行了比较。对于这些图像,结果表明,大气顶部的植被指数低于地表的植被指数。由于大气造成的植被指数的这种低估是由于近红外区的辐射吸收率高于红色光谱区的辐射吸收率。这在热带大气中特别明显,在热带大气中水汽的吸收往往高于中纬度地区。得出的结论是,在计算热带地区的植被指数时必须进行大气校正,而适应的6S模型适用于此任务。

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