Dr. Mohammed Suhyb Salama
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Dr. Mohammed Suhyb Salama

Associate Professor
University of Twente, Netherlands

Highest Degree
Ph.D. in Civil Engineering from Catholic University of Leuven, Belgium

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Biography

Dr. Mohammed Suhyb Salama is Associate Professor of Remote Sensing of Water Quality and Water Resources Management at the Department of Water Resources in the Faculty of Geo-information Science and Earth Observation (ITC) of the University of Twente, the Netherlands. Dr. Suhyb Salama earned a PhD degree in Civil Engineering (2003) and an MSc degree with Great Distinction (magna cum laude) in Hydraulic Engineering (1999) from the Katholieke Universiteit Leuven, Belgium and a BSc degree in Civil Engineering (1993) from Damascus University in Syria. Dr. Suhyb Salama was a consultant in geo-information and remote sensing applications at the Spatial Division Leuven (SADL) in Belgium before he joined ITC in July 2007. Dr. Suhyb Salamas current research and teaching focus on Remote Sensing and Numerical Modeling of Water Quality and interactions with the Ecosystem and Ecosystems responses to Climate and Water Cycle Variations. His area of expertise includes Remote Sensing, Radiative Transfer, Water Quality, Hydrology, Numerical Inversion and Optimization, and Stochastic Error Analysis. Dr. Suhyb Salama lectures in Water Resources Research from Space, Radiative transfer and Atmospheric Correction, Remote Sensing of Water Quality and observing the Hydrological Cycle from Space. In addition he is a Coordinator of block 3 and module 12, 14 and 15 in the MSc program of Water Resources and Environment Management at ITC. From 2007 to 2013 Dr. Suhyb has supervised 30 MSc research topics, 20 of which were on water quality. Dr. Suhyb Salamas current activities within the Netherlands automated monitoring program (IN PLACE: Integrated Network for Production and Loss Assessment in the Coastal Environment) has led ITC and NIOZ (Netherlands Institute for Sea Research) to develop a Generic method for Calibration and Validation (Cal/Val). The results have changed the treatment of Cal/Val within the accuracy assessment of satellite observed geophysical variables in land and water. The scalability of Dr. Suhyb Salamas research is reflected through publishing in other research fields related to land surface Hydrology. He is supervising four PhD candidates in diverse research fields covering a wide scope of Hydrology: from water quality to Hydrometeorology and Water Footprint. He has published 38 research articles in journals contributed as author/co-author.

Area of Interest:

Engineering
100%
Remote Sensing
62%
Water Quality
90%
Stochastic Error Analysis
75%
Hydrology
55%

Research Publications in Numbers

Books
0
Chapters
0
Articles
0
Abstracts
0

Selected Publications

  1. Salama, M.S. and W. Verhoef, 2015. Two-stream remote sensing model for water quality mapping: 2SeaColor. Remote Sens. Environ., 157: 111-122.
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  2. Zhong, L., Y. Ma, Y. Fu, X. Pan and W. Hu et al., 2014. Assessment of soil water deficit for the middle reaches of Yarlung-Zangbo River from optical and passive microwave images. Remote Sens. Environ., 142: 1-8.
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  3. Van der Velde, R., M.S. Salama, T. Pellarin, M. Ofwono, Y. Ma and Z. Su, 2014. Long term soil moisture mapping over the Tibetan Plateau using special sensor microwave/imager. Hydrol. Earth Syst. Sci., 18: 1323-1337.
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  4. Romaguera, M., M.S. Salama, M.S. Krol, A.Y. Hoekstra and Z. Su, 2014. Towards the improvement of blue water evapotranspiration estimates by combining remote sensing and model simulation. Remote Sens., 6: 7026-7049.
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  5. Romaguera, M., M.S. Krol, M.S. Salama, Z. Su and A.Y. Hoekstra, 2014. Application of a remote sensing method for estimating monthly blue water evapotranspiration in irrigated agriculture. Remote Sensing, 6: 10033-10050.
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  6. Majozi, N.P., M.S. Salama, S. Bernard, D.M. Harper and M.G. Habte, 2014. Remote sensing of euphotic depth in shallow tropical inland waters of Lake Naivasha using MERIS data. Remote Sens. Environ., 148: 178-189.
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  7. Philippart, C.J.M., M.S. Salama, J.C. Kromkamp, H.J. van der Woerd, A.F. Zuur and G.C. Cadee, 2013. Four decades of variability in turbidity in the Western Wadden Sea as derived from corrected Secchi disk readings. J. Sea Res., 82: 67-79.
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  8. Huang, Y., M.S. Salama, M.S. Krol, R. van der Velde, A.Y. Hoekstra, Y. Zhou and Z. Su, 2013. Analysis of long-term terrestrial water storage variations in the Yangtze River basin. Hydrol. Earth Syst. Sci., 17: 1985-2000.
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  9. Zhong, L., Y. Ma, W. Ma, Y. Fu and Z. Su et al., 2012. Remote sensing of land surface parameters in the middle reaches of Yarlung Zangbo River and its two tributaries from AVHRR and MODIS data. J. Meteorol. Soc. Jpn. Ser. II, 90C: 75-86.
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  10. Van der Velde, R., Z. Su, P. van Oevelen, J. Wen, Y. Ma and M.S. Salama, 2012. Soil moisture mapping over the central part of the Tibetan Plateau using a series of ASAR WS images. Remote Sens. Environ., 120: 175-187.
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  11. Van der Velde, R., M.S. Salama, M.D. van Helvoirt, Z. Su and Y. Ma, 2012. Decomposition of uncertainties between coarse MM5-Noah-simulated and fine ASAR-retrieved soil moisture over Central Tibet. J. Hydrometeorol., 13: 1925-1938.
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  12. Salama, M.S., R. van der Velde, H.J. van der Woerd, J.C. Kromkamp and C.J.M. Philippart et al., 2012. Technical notes: Calibration and validation of geophysical observation models. Biogeosciences, 9: 2195-2201.
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  13. Salama, M.S., R. Van der Velde, L. Zhong, Y. Ma, M. Ofwono and Z. Su, 2012. Decadal variations of land surface temperature anomalies observed over the Tibetan Plateau by the Special Sensor Microwave Imager (SSM/I) from 1987 to 2008. Clim. Change, 114: 769-781.
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  14. Salama, M.S., M. Radwan and R. van der Velde, 2012. A hydro-optical model for deriving water quality variables from satellite images (HydroSat): A case study of the Nile River demonstrating the future Sentinel-2 capabilities. Phys. Chem. Earth Parts A/B/C, 50: 224-232.
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  15. Salama, M.S., 2012. Current Advances in Uncertinty Estimation of Earth Observation Products of Water Quality. In: Earth Observation, Rustamov, R.B. and S.E. Salahova (Eds.). Chapter 10, InTech Publ., Rijeka, Croatia, ISBN: 978-953-307-973-8, pp: 229-254.
  16. Romaguera, M., M.S. Salama, M.S. Krol, Z. Su and A.Y. Hoekstra, 2012. Remote Sensing Method for Estimating Green and Blue Water Footprint. In: Remote Sensing and Hydrology, Neale, C.M.U. and M.H. Cosh (Eds.). International Association of Hydrological Sciences (IAHS) Press, Wallingford, UK., ISBN: 978-1-907161-27-8, pp: 288-291.
  17. Romaguera, M., M.S. Krol, M. Salama, A.Y. Hoekstra and Z. Su, 2012. Determining irrigated areas and quantifying blue water use in Europe using remote sensing Meteosat Second Generation (MSG) products and Global Land Data Assimilation System (GLDAS) data. Photogram. Eng. Remote Sens., 78: 861-873.
    CrossRef  |  Direct Link  |  
  18. Budhiman, S., M.S. Salama, Z. Vekerdy and W. Verhoef, 2012. Deriving optical properties of Mahakam Delta coastal waters, Indonesia using in situ measurements and ocean color model inversion. ISPRS J. Photogram. Remote Sens., 68: 157-169.
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  19. Ambarwulan, W., W. Verhoef, C.M. Mannaerts and M.S. Salama, 2012. Estimating total suspended matter concentration in tropical coastal waters of the Berau Estuary, Indonesia. Int. J. Remote Sens., 33: 4919-4936.
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  20. Zhong, L., Z. Su, Y. Ma, M.S. Salama and J.A. Sobrino, 2011. Accelerated changes of environmental conditions on the Tibetan Plateau caused by climate change. J. Clim., 24: 6540-6550.
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  21. Su, Z., R.A. Roebeling, J. Schulz, I. Holleman and V. Levizzani et al., 2011. Observation of Hydrological Processes Using Remote Sensing. In: Treatise on Water Science, Volume 2: The Science of Hydrology, Wilderer, P. (Ed.). Chapter 2.14, Elsevier, New York, USA., ISBN: 978-0-444-53199-5, pp: 351-399.
    Direct Link  |  
  22. Salama, M.S., F. Melin and R. Van der Velde, 2011. Ensemble uncertainty of inherent optical properties. Opt. Express, 19: 16772-16783.
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  23. Salama, M.S. and Z. Su, 2011. Resolving the subscale spatial variability of apparent and inherent optical properties in ocean color match-up sites. IEEE Trans. Geosci. Remote Sens., 49: 2612-2622.
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  24. Ambarwulan, W., M.S. Salama, C.M. Mannaerts and W. Verhoef, 2011. Estimating specific inherent optical properties of tropical coastal waters using bio-optical model inversion and in situ measurements: Case of the Berau estuary, East Kalimantan, Indonesia. Hydrobiologia, 658: 197-211.
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  25. Zhong, L., Y. Ma, Z. Su and M.S. Salama, 2010. Estimation of land surface temperature over the Tibetan Plateau using AVHRR and MODIS data. Adv. Atmos. Sci., 27: 1110-1118.
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  26. Zhong, L., Y. Ma, M.S. Salama and Z. Su, 2010. Assessment of vegetation dynamics and their response to variations in precipitation and temperature in the Tibetan Plateau. Clim. Change, 103: 519-535.
    CrossRef  |  Direct Link  |  
  27. Shen, F., Y.X. Zhou, D.J. Li, W.J. Zhu and M.S. Salama, 2010. Medium Resolution Imaging Spectrometer (MERIS) estimation of chlorophyll-a concentration in the turbid sediment-laden waters of the Changjiang (Yangtze) Estuary. Int. J. Remote Sens., 31: 4635-4650.
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  28. Shen, F., W. Verhoef, Y. Zhou, M.S. Salama and X. Liu, 2010. Satellite estimates of wide-range suspended sediment concentrations in Changjiang (Yangtze) estuary using MERIS data. Estuaries Coasts, 33: 1420-1429.
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  29. Shen, F., M.S. Salama, Y.X. Zhou, J.F. Li, Z. Su and D.B. Kuang, 2010. Remote-sensing reflectance characteristics of highly turbid estuarine waters-a comparative experiment of the Yangtze River and the Yellow River. Int. J. Remote Sens., 31: 2639-2654.
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  30. Salama, M.S. and Z. Su, 2010. Bayesian model for matching the radiometric measurements of aerospace and field ocean color sensors. Sensors, 10: 7561-7575.
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  31. Salama, M.S. and F. Shen, 2010. Stochastic inversion of ocean color data using the cross-entropy method. Opt. Express, 18: 479-499.
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  32. Salama, M.S. and F. Shen, 2010. Simultaneous atmospheric correction and quantification of suspended particulate matters from orbital and geostationary earth observation sensors. Estuarine Coastal Shelf Sci., 86: 499-511.
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  33. Romaguera, M., A.Y. Hoekstra, Z. Su, M.S. Krol and M.S. Salama, 2010. Potential of using remote sensing techniques for global assessment of water footprint of crops. Remote Sens., 2: 1177-1196.
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  34. Ambarwulan, W., C.M. Mannaerts, H.J. van der Woerd and M.S. Salama, 2010. Medium resolution imaging spectrometer data for monitoring tropical coastal waters: A case study of Berau estuary, East Kalimantan, Indonesia. Geocarto Int., 25: 525-541.
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  35. Su, Z., W.J. Timmermans, C. van der Tol, R. Dost and R. Bianchi et al., 2009. EAGLE 2006-multi-purpose, multi-angle and multi-sensor in-situ and airborne campaigns over grassland and forest. Hydrol. Earth Syst. Sci., 13: 833-845.
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  36. Salama, M.S., A. Dekker, Z. Su, C.M. Mannaerts and W. Verhoef, 2009. Deriving inherent optical properties and associated inversion-uncertainties in the Dutch Lakes. Hydrol. Earth Syst. Sci., 13: 1113-1121.
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  37. Salama, M.S. and A. Stein, 2009. Error decomposition and estimation of inherent optical properties. Applied Opt., 48: 4947-4962.
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  38. Salama, M.S., J. Monbaliu and P. Coppin, 2004. Atmospheric correction of advanced very high resolution radiometer imagery. Int. J. Remote Sens., 25: 1349-1355.
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