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The influence of geometric correction on the accuracy of the extraction of the remote sensing reflectance of water

ABSTRACT In colour remote sensing of water, the effect of geometric correction on the extraction of water reflectance is worth exploring. The spectral data were measured by sampling three polluted water bodies in Zhengzhou City, and the Planet satellite image data of these areas were obtained and divided into two groups (with and without geometric correction). The two groups of images were then subjected to atmospheric correction using the quick atmospheric correction (QUAC) algorithm to obtain the remote-sensing reflectance values of the water bodies. The results showed that, for the two different extraction methods, the original data and geometrically corrected extraction results are approximately equal, and the spectral curves show similar trends. Compared with the measured spectral data, it is found that the two groups of data extracted from remote sensing images are more likely to show large-scale changes between the red band and the near-infrared (NIR) band. It is concluded that geometric correction affects values of water reflectance based on extraction of images, but has less effect on the overall trend of the curve, and the probability of changes of water reflectance extraction in NIR band is higher than in other bands.