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Article

Multiplatform Earth Observation Systems for Monitoring Water Quality in Vulnerable Inland Ecosystems: Maspalomas Water Lagoon

1
Instituto de Oceanografía y Cambio Global, IOCAG, Universidad de las Palmas de Gran Canaria, ULPGC, Unidad Asociada ULPGC-CSIC, 35017 Las Palmas de Gran Canaria, Canary Islands, Spain
2
Departamento de Física, Universidad de las Palmas de Gran Canaria, ULPGC, 35017 Las Palmas de Gran Canaria, Canary Islands, Spain
*
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(2), 284; https://doi.org/10.3390/rs12020284
Received: 11 November 2019 / Revised: 27 December 2019 / Accepted: 11 January 2020 / Published: 15 January 2020
(This article belongs to the Special Issue Remote Sensing of Coastal and Inland Waters)
The accurate monitoring of water quality indicators, bathymetry and distribution of benthic habitats in vulnerable ecosystems is key to assessing the effects of climate change, the quality of natural areas and to guide appropriate biodiversity, tourism or fisheries policies. Coastal and inland water ecosystems are very complex but crucial due to their richness and primary production. In this context, remote sensing can be a reliable way to monitor these areas, mainly thanks to satellite sensors’ improved spatial and spectral capabilities and airborne or drone instruments. In general, mapping bodies of water is challenging due to low signal-to-noise (SNR) at sensor level, due to the very low reflectance of water surfaces as well as atmospheric effects. Therefore, the main objective of this work is to provide a robust processing framework to estimate water quality parameters in inland shallow waters using multiplatform data. More specifically, we measured chlorophyll concentrations (Chl-a) from multispectral and hyperspectral sensors on board satellites, aircrafts and drones. The Natural Reserve of Maspalomas, Canary Island (Spain), was chosen for the study because of its complexity as well as being an inner lagoon with considerable organic and inorganic matter and chlorophyll concentration. This area can also be considered a well-known coastal-dune ecosystem attracting a large amount of tourists. The water quality parameter estimated by the remote sensing platforms has been validated using co-temporal in situ measurements collected during field campaigns, and quite satisfactory results have been achieved for this complex ecosystem. In particular, for the drone hyperspectral instrument, the root mean square error, computed to quantify the differences between the estimated and in situ chlorophyll-a concentrations, was 3.45 with a bias of 2.96. View Full-Text
Keywords: multiplatform; Worldview satellites; airborne; drone; hyperspectral imagery; water quality mapping; inner lake; protected ecosystem multiplatform; Worldview satellites; airborne; drone; hyperspectral imagery; water quality mapping; inner lake; protected ecosystem
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MDPI and ACS Style

Eugenio, F.; Marcello, J.; Martín, J. Multiplatform Earth Observation Systems for Monitoring Water Quality in Vulnerable Inland Ecosystems: Maspalomas Water Lagoon. Remote Sens. 2020, 12, 284. https://doi.org/10.3390/rs12020284

AMA Style

Eugenio F, Marcello J, Martín J. Multiplatform Earth Observation Systems for Monitoring Water Quality in Vulnerable Inland Ecosystems: Maspalomas Water Lagoon. Remote Sensing. 2020; 12(2):284. https://doi.org/10.3390/rs12020284

Chicago/Turabian Style

Eugenio, Francisco, Javier Marcello, and Javier Martín. 2020. "Multiplatform Earth Observation Systems for Monitoring Water Quality in Vulnerable Inland Ecosystems: Maspalomas Water Lagoon" Remote Sensing 12, no. 2: 284. https://doi.org/10.3390/rs12020284

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