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ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2023, Vol. 20, No. 3, pp. 9-18

Water bodies detection algorithm for multispectral images

O.V. Nikolaeva 1 
1 Keldysh Institute of Applied Mathematics RAS, Moscow, Russia
Accepted: 10.05.2023
DOI: 10.21046/2070-7401-2023-20-3-9-18
An algorithm is proposed allowing to quickly find water bodies in multispectral images. The reflectance values are used. Water bodies are sought in two stages. At the first stage, dark regions are selected. They are connected domains with a reduced reflectance in the NIR band. Attenuation of reflectance in NIR band is related to general reduction of reflectance (when a pixel is in a shadowed region and illuminated only by diffuse light) and/or reduction of reflectance only in infra-red range via light absorption in water (when light is reflected by water or passes through a cloud). In the second stage, values of NDWI (Normalized Difference Water Index) are computed for dark regions and pixels with increased values of NDWI are assigned to water. Threshold NDWI* for separating water and nonwater is found via NDWI histogram analysis. The algorithm is tested on images of sensor Hyperion (spatial resolution 30 m, spectral resolution 10 nm). It is shown that the algorithm finds lit and shadowed water bodies, dark clear and bright turbid ones. The algorithm distinguishes water from wet soil and cloud shadows. The results obtained are suggested to be used in monitoring water bodies and building cloud-shadow masks on multispectral images.
Keywords: water bodies, multispectral images, NDWI
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