Abstract

Remote sensing is widely applied in examining the parameters of the state and quality of water. Spectral characteristics of water are strictly connected with the dispersion of electromagnetic radiation by suspended matter and the absorption of radiation by water and chlorophyll a and b.Multispectral sensor ALI has bands within the ranges of electromagnetic radiation: blue and infrared, absent in sensors such as Landsat, SPOT, or Aster. The main goal of the article was to examine the influence of the presence of these bands on water classification accuracy carried out for simulated images ALI, Landsat, Spot, and Aster. The simulation of images was based on the hyperspectral image from a Hyperion sensor. Due to the spectral properties of water, all the operations on the images were carried out for the set of bands in visible and near-infrared (VNIR) spectral range. In the framework of these studies, the impact of removing individual bands or sets of bands on the classification results was tested. Tests were carried out for the area of the water body of the Dobczyce Reservoir. It was observed that the lack of a spectral response in the infrared range of ALI image can reduce the accuracy of a classification by as much as 60%. On the other hand, the lack of blue and red bands in the dataset for the classification decreased the accuracy of water classification by 15% and 10%, respectively.

Highlights

  • Remote sensing multispectral and hyperspectral data are widely applied in studying the parameters of the state and quality of water, both marine and inland [1,2,3,4,5,6]

  • It was observed that the lack of a spectral response in the infrared range of ALI image can reduce the accuracy of a classification by as much as 60%

  • Comparing the results of the classification accuracy (Tab. 2) of all simulated images, one can notice that the highest accuracy (97%) was obtained for the ALI image (6 bands), the lowest (57%) for the Spot image (3 bands)

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Summary

Introduction

Remote sensing multispectral and hyperspectral data are widely applied in studying the parameters of the state and quality of water, both marine and inland [1,2,3,4,5,6]. While analyzing an example of the spectral curve of water (Fig. 1), several characteristic areas can be distinguished Their occurrence is connected with the presence of a definite component responsible for the shape of the curve. Maximal reflection values in the range 500–600 nm (area B) occur as a result of poor absorption of the radiation by pigments (e.g., pigments of algae) and the dispersion of radiation caused by the particles of suspended inorganic matter and phytoplankton [6]. The occurrence of a clear peak for wavelengths of about 700 nm (area F) is a result of the interaction of radiation being dispersed by the suspended matter and absorption of the radiation by water and chlorophyll a [7]

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