Abstract
This study assesses Sentinel 2 remote sensing data for estimating chlorophyll-a concentrations in 32 small reservoirs located in the Spanish region of Extremadura. The atmospheric correction algorithms C2RCC, C2X, and C2XC were used to obtain chlorophyll-a estimations. In-situ measurements of chlorophyll-a were collected from ninety-four water samples in the study area, and their values were used to validate the satellite-derived estimates. The results showed that the C2RCC atmospheric correction algorithm outperformed the other two algorithms, with a Mean Absolute Average Error (MAAE) of 4.79 mg/m3 for non-hypertrophic reservoirs. C2X and C2XC algorithm performed inaccurately, with extreme RMSE and MAAE values. Spearman correlation coefficients are good for the three methods applied. The findings could be of interest to regional water management authorities and researchers in monitoring water quality in small reservoirs.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Remote Sensing Applications: Society and Environment
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
