E
Evangelos Spyrakos
Researcher at University of Stirling
Publications - 55
Citations - 1705
Evangelos Spyrakos is an academic researcher from University of Stirling. The author has contributed to research in topics: Environmental science & Biology. The author has an hindex of 17, co-authored 41 publications receiving 942 citations. Previous affiliations of Evangelos Spyrakos include University of Vigo.
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Journal ArticleDOI
Optical types of inland and coastal waters
Evangelos Spyrakos,Ruth O'Donnell,Peter D. Hunter,Claire Miller,Marian Scott,Stefan G. H. Simis,Claire Neil,Claudio Clemente Faria Barbosa,Caren Binding,Shane Bradt,Mariano Bresciani,Giorgio Dall'Olmo,Claudia Giardino,Anatoly A. Gitelson,Tiit Kutser,Lin Li,Bunkei Matsushita,Victor Martinez-Vicente,Mark W. Matthews,Igor Ogashawara,Antonio Ruiz-Verdú,John F. Schalles,Emma Tebbs,Yunlin Zhang,Andrew N. Tyler +24 more
TL;DR: In this article, a comprehensive dataset from more than 250 aquatic systems, representing a wide range of conditions, was analyzed in order to develop a typology of optical water types (OWTs) for inland and coastal waters.
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Assessment of atmospheric correction algorithms for the Sentinel-2A MultiSpectral Imager over coastal and inland waters
Mark Warren,Stefan G. H. Simis,Victor Martinez-Vicente,Kathrin Poser,Mariano Bresciani,Krista Alikas,Evangelos Spyrakos,Claudia Giardino,Ave Ansper +8 more
TL;DR: In this article, six publicly available atmospheric correction algorithms (Acolite, C2RCC, iCOR, l2gen, Polymer and Sen2Cor) are evaluated against above-water optical in situ measurements, within a robust methodology, in two optically diverse coastal regions (Baltic Sea, Western Channel) and from 13 inland waterbodies from 5 European countries with a range of optical properties.
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Trophic state assessment of global inland waters using a MODIS-derived Forel-Ule index
Shenglei Wang,Shenglei Wang,Junsheng Li,Bing Zhang,Evangelos Spyrakos,Andrew N. Tyler,Qian Shen,Fangfang Zhang,Tiit Kuster,Moritz K. Lehmann,Yanhong Wu,Dailiang Peng +11 more
TL;DR: In this paper, the authors developed a new Remote Sensing (RS) approach to assess the trophic state of global inland water bodies based on MODIS imagery and the Forel-Ule index (FUI) calculated from MODIS data by dividing natural water colour into 21 indices from dark blue to yellowish-brown.
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Neural network estimation of chlorophyll a from MERIS full resolution data for the coastal waters of Galician rias (NW Spain)
TL;DR: In this paper, three different NNs were developed: one including the whole data set, and two others using only points belonging to one of the clusters, and the input data for these latter two NNs was chosen depending on the quality level defined on the basis of quality flags given to each data set.
Journal ArticleDOI
A global approach for chlorophyll-a retrieval across optically complex inland waters based on optical water types
TL;DR: An adaptive framework for the dynamic selection of in-water algorithms is shown to provide overall improvement in Chla retrieval across a continuum of bio-geo-optical conditions.