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Retrieving biophysical products in Mediterranean lagoons using neural net-based algorithms and dark spectrum fitting approach with field observations | |
Author | Jyothsna, Yalamanchili Naga |
Call Number | AIT Thesis no.RS-22-01 |
Subject(s) | Water quality--Remote sensing |
Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Remote Sensing and Geographic Information Systems |
Publisher | Asian Institute of Technology |
Abstract | With advancements of remote sensing for water quality monitoring, there is a lot of potential for these techniques to complement the in-situ measurements by assisting in the estimation of temporal and spatial changes in water quality parameters of large scale surfaces. For the time being, numerous methods and satellite data are being used to analyze water quality. In this study two lagoons, Cabras and Santa Giusta, were chosen for this investigation, and the meter scale satellites Sentinel-2 MSI, and Landsat 8 OLI were used. Image processing is achieved with C2RCC and ACOLITE based Dark Spectrum Fitting models capable of atmospheric correction and thematic water processing and dedicated for these two sensors. According to the findings, the processor C2RCC-Nets from C2RCC for Sentinel-2 MSI had a better correlation than the other methods, without any recalibration needed. Validation can be improved with the increase of the matchup data and recalibration didn’t show much improvement. To further comprehend the patterns, time series were plotted and analyzed for the best model. Sentinel-2 MSI was showing a good pattern than Landsat 8 OLI, and seasonal trends are achieved by visual interpretation. We may conclude from this study that it’s a first step toward adopting remote sensing as a supplementary tool for these Mediterranean lagoons and to increase the accuracy further testing of the models and expanding the match-up data will be helpful. |
Year | 2022 |
Type | Thesis |
School | School of Engineering and Technology |
Department | Department of Information and Communications Technologies (DICT) |
Academic Program/FoS | Remote Sensing and Geographic Information Systems (RS) |
Chairperson(s) | Virdis, Salvatore G. P.,; |
Examination Committee(s) | Sarawut Ninsawat;Shrestha, Sangam; |
Scholarship Donor(s) | AIT Partial Scholarship; |
Degree | Thesis (M.Eng.) - Asian Institute of Technology, 2022 |