Comparison of UAS and Sentinel-2 Multispectral Imagery for Water Quality Monitoring: A Case Study for Acid Mine Drainage Affected Areas (SW Spain)

• Published in: Remote sensing (Basel, Switzerland) Vol. 14; no. 16; p. 4053
• Main Authors: Isgró, Melisa A., Basallote, M. Dolores, Caballero, Isabel, Barbero, Luis
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.08.2022
• Subjects: abandoned mine; Acid mine drainage; acidic water; Atmospheric correction; Atmospheric models; Coasts; Color; Copernicus programme; drone; Image quality; Inland waters; Mine drainage; Mining; Monitoring; Optical properties; Oxidation; Pixels; Processors; Quality assessment; Reflectance; Remote sensing; Satellite imagery; Satellites; Scale models; Sensors; Statistical methods; Surface water; surface water monitoring; Water monitoring; Water quality; Water quality management; Spain
• ISSN: 2072-4292; 2072-4292
• DOI: 10.3390/rs14164053

Uncrewed Aerial Systems (UAS) and satellites are used for monitoring and assessing the quality of surface waters. Combining both sensors in a joint tool may scale local water quality retrieval models to regional and global scales by translating UAS-based models to satellite imagery. The main objective of this study is to examine whether Sentinel-2 (S2) data can complement UAS data, specifically from the MicaSense RedEdge MX-Dual sensor, for inland water quality monitoring in mining environments affected by acid mine drainage (AMD). For this purpose, a comparison between UAS reflectance maps and atmospherically corrected S2 imagery was performed. S2 data were processed with Case 2 Regional Coast Colour (C2RCC) and Case 2 Regional Coast Colour for Complex waters (C2X) atmospheric correction (AC) processors. The correlation between the UAS data and the atmospherically corrected S2 data was evaluated on a band-by-band and a pixel-by-pixel basis, and the compatibility of the spectral data was analyzed through statistical methods. The results showed C2RCC and C2X performed better for acidic greenish-blue and non-acidic greenish-brown water bodies concerning the UAS data than for acidic dark reddish-brown waters. However, significant differences in reflectance between the UAS sensor and both S2 AC processors have been detected. The poor agreement between sensors should be considered when combining data from both instruments since these could have further consequences in developing multi-scale models.