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Please use this identifier to cite or link to this item:
http://hdl.handle.net/10174/37918
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Title: | Assessment of Water Surface Reflectance and Optical Water Types Over Two Decades in Europe’s Largest Artificial Lake: An Intercomparison of ESA and NASA Satellite Data |
Authors: | Rodrigues, Gonçalo Potes, Miguel Costa, Maria João |
Keywords: | Big data microalgae blooms multispectral satellite data optical water types (OWTs) remote sensing monitoring |
Issue Date: | 2025 |
Publisher: | IEEE |
Citation: | Rodrigues, G., Potes, M., & Costa, M. J. (2025). Assessment of Water Surface Reflectance and Optical Water Types Over Two Decades in Europe’s Largest Artificial Lake: An Intercomparison of ESA and NASA Satellite Data. In IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (Vol. 18, pp. 2942–2958). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/jstars.2024.3515998 |
Abstract: | This study focuses on comparing surface reflectances
and optical water types (OWTs) obtained in Alqueva reservoir, located
in the Alentejo region (Portugal), over a period of two decades
(2003–2022) using four datasets: the moderate resolution imaging
spectroradiometer (MODIS), themedium-resolution imaging spectrometer,
the ocean and land color instrument aboard Sentinel-3,
and the multispectral instrument aboard Sentinel-2. The MODIS
instrument covers the entire study period and acts as the benchmark
for intercomparing the surface reflectances obtained with the
other three sensors. The classification of OWTs is based on differences
in reflectance spectra, facilitating a qualitative assessment
of water quality. This approach identified four distinct clusters,
with two OWTs representing water with higher turbidity, facilitating
the differentiation of reflectances associated with microalgae
blooms and other phenomena such as runoff. However, when using
MODIS, which covers only the central area of the reservoir, only
three clusters were identified as the ideal number. Using 300 or
1000 m of spatial resolution, the Alqueva reservoir mostly exhibits
high water transparency, associated with low surface reflectances
for the majority of the time. Seasonal analysis revealed periodswith
the presence of microalgae in summer and autumn (SON), with a
noticeable increase in the intensity and duration of these blooms
in the SONperiod over the last ten years. Thismethodology enables
the identification of advantages and disadvantages associated with
the utilization of each sensor in large reservoirs and across extensive
datasets. |
URI: | https://doi.org/10.1109/jstars.2024.3515998 http://hdl.handle.net/10174/37918 |
Type: | article |
Appears in Collections: | CREATE - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica
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