Remote sensing of water constituent concentrations using time series of in-situ hyperspectral measurements in the Wadden Sea

Arabi, Behnaz; Salama, Mhd. Suhyb; Wernand, Marcel Robert; Verhoef, W.

doi:10.1016/j.rse.2018.06.040

Cited by 18 publications

(40 citation statements)

References 55 publications

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“…In this study, we applied the 2SeaColor model developed by Salama and Verhoef (2015) for simultaneous retrieval of WCCs retrieval from simulated Rrs values at the NJS. This model has already shown high accuracy for the retrieval of water optical properties in turbid waters in the Dutch Wadden Sea and other coastal areas in previous studies (Arabi et al, 2018;Ambarwulan et al, 2011;Arabi et al, 2016;Yu et al, 2016a). The 2SeaColor model simulates Rrs values defined by the solution of the two-stream radiative transfer equations containing direct sunlight, as explained by Salama and Verhoef (2015):…”

Section: The 2seacolor Modelmentioning

confidence: 62%

“…Moreover, we excluded those hyperspectral measurements which were recorded during winter time and under the condition of SZAs > 60° from the dataset. As Arabi et al (2018) showed, these measurements are not reliable enough for doing retrievals by hydro-optical models. They pointed the effect of high SZA, higher sensitivity of the measurements to sun-glint and skylight and lack of information about the seasonal SIOPs, as the main reasons behind the model's deterioration during winter (Arabi et al, 2018).…”

Section: In-situ Hyperspectral Measurementsmentioning

confidence: 99%

“…As Arabi et al (2018) showed, these measurements are not reliable enough for doing retrievals by hydro-optical models. They pointed the effect of high SZA, higher sensitivity of the measurements to sun-glint and skylight and lack of information about the seasonal SIOPs, as the main reasons behind the model's deterioration during winter (Arabi et al, 2018). Accordingly only the hyperspectral measurements collected from March to September (SZAs < 60°) were selected for further analysis.…”

Section: In-situ Hyperspectral Measurementsmentioning

confidence: 99%

“…The first used dataset of this study was a time series of in-situ measurements of Chla (mg m -3 ) and SPM (g m -3 ) concentrations collected in a daily basis under the condition of SZAs < 60° between 2008 and 2010 at the NJS. This dataset was taken from other study conducted by Arabi et al (2018) and was used to show the temporal agreement of retrieved Chla and SPM concentrations from in-situ hyperspectral measurements and satellite images with in-situ ones at the NJS (Fig. 4.13).…”

Section: In-situ Chla and Spm Concentrationsmentioning

confidence: 99%

“…where the subscripts of W, Chla, NAP and CDOM stand for water molecules, Chlorophyll-a, Nan-algae Particles, and Coloured Dissolved Organic Matter, respectively. In this study, we applied the same parametrization approach proposed in Table 4.3 by Arabi et al (2018) to calculate the absorption and backscattering coefficients of WCCs in the study area.…”

Section: The 2seacolor Modelmentioning

confidence: 99%

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Optical remote sensing of water quality in the Wadden Sea

Arabi

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Writing this thesis was a challenging and fascinating journey for me. There have been many people who have walked alongside me during this journey. I would like to express my sincere appreciation to all these people: First and foremost, I would like to express my special appreciation and thanks to my main supervisor (promotor) Prof.dr.ing Wouter Verhoef, who provided me with the opportunity to do my PhD in his research group at the Faculty of Geo-information Science and Earth Observations (ITC). I consider myself very fortunate to have had the chance to pursue my PhD with him. He has been truly a dedicated mentor and has always showed trust and confidence in me through my research. I could not have maintained interest in my work without his profoundly impressive elegant and clearness of his work, guidance, radiating enthusiasm, endless support, kindness, and unbelievable patience. His open office policy for my questions, being so quick response for my emails, generous in sharing his knowledge, work, and experience are all greatly appreciated.My sincere thanks go to my co-supervisor, Dr.ir. Suhyb Salama, who always supported me during my PhD journey. His friendly advice, constructive comments, notes, and very smart suggestions were always a spark for considering the new ways to improve and rationalize the work. I deeply thank him for all his advice and guidance to help me to rise myself in both of my research and future career.Department of Water Resources (WRS) and providing a comfortable academic environment where I could focus only on my research. I would like to thank the department secretaries, Anke, Tina, and Lindy, for being always so kind, supportive and helpful during my PhD and also Loes Colenbrander for the assistance of my PhD application and the support during my stay at ITC. I am grateful that there was a lovely and supportive Iranian community in Enschede, where I could always found assistance when I needed that, and I thank all of my Iranian friends.My deepest thanks go to my beloved family. Nothing more than their emotional and mental support, presence and sincere belief in my potential could give me the courage of doing what I like to do, and my love and respect for them are beyond the words. I owe all the achievements of my life to my wonderful parents, now and forever, and this thesis is dedicated to them.Last but not least, I would like to especially thank all those people who made me here feel like home with their smiles, kindness, politeness, and understanding. They have given me a feeling of being so lucky to do my PhD in this beautiful country. Thank you, Nederland and Nederlanders! iii Table of Contents Acknowledgments .

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