@article{10272/21152,
year = {2022},
month = {8},
url = {http://hdl.handle.net/10272/21152},
abstract = {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},
organization = {This study was supported in part by the Erasmus Mundus Joint Master Degree (EMJMD)
in Water and Coastal Management (WACOMA) with the contribution of the Erasmus+ Programme
of the European Union. This work was also supported by Plan Andaluz de Investigación RNM 166
Environmental radioactivity research group (LB) and partially by the FEDER UHU2020-21 Project.
UAS equipment from University of Cádiz Drone Service was supported by MINECO infrastructure
projects (EQC2018-00446-P and UNCA-2013-1969). MDB thanks the Spanish Ministry of Science and
Innovation for the Postdoctoral Fellowship granted under application reference IJC2018-035056-I.
This research was also funded by the Spanish Ministry of Science and Innovation, the Spanish State
Research Agency, the European Regional Development Fund MCIN/AEI/10.13039/501100011033
(Sen2Coast Project; RTI 2018-098784-J-I00), and the Consejería de Transformación Económica,
Industria, Conocimiento y Universidades from Andalusian Government through the Andalusian
FEDER operational program 2014-2020 (A1123060E0_PYC20 RE 032 UHU) and the call 2020 for
collaborative interest projects in the field of the Innovation Ecosystems of the International
Excellence Centers). We thank to Tharsis Mining & Metallurgy for allowing us to collect the samples
in the abandoned mining areas that belong to the company since 2018. The authors also gratefully
acknowledge the support of the Guest Editor, the Assistant Editor and the three anonymous
reviewers for their comments and positive criticisms, which notably improved the quality of the
original paper},
publisher = {MDPI},
title = {Comparison of UAS and Sentinel-2 Multispectral Imagery for Water Quality Monitoring: A Case Study for Acid Mine Drainage Affected Areas (SW Spain)},
doi = {10.3390/rs14164053},
author = {Isgró, Melisa A. and Basallote Sánchez, María Dolores and Caballero, Isabel and Barbero, Luis},
}