CV: Remote Sensing Scientist and Modelle


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Candidate Profile
 Date Submitted:21-11-2016
 Last Modified:05-11-2017 (07:10)
Job information
 Current job:Remote Sensing Scientist and Modelle
 Employment Term:Permanent
 Job location:Anywhere
 Date available:within a month
 Industry:Civil Agencies/International Organizations, Satellite Manufacturers and Subcontractors, Satellite Operators, , , Consulting/Engineering Services
 KeywordsRemote Sensing Scientist

An experienced and analytical remote Sensing Scientist, with the flexible attitude of an Engineer coupled with the analytical approach of a Researcher:  10+ years of extensive experience in modelling and development of software for imagery or geospatial services, with a passion for environment and forecast. Expert in practical solutions for real-life problems in hydraulics and agriculture, combining, through data assimilation, modelling and remote sensing data. I provide meaning contributions, bringing new ideas to the natural risk management sector and to the industry. Possesses communication, analytical, statistical, and mathematical skills. Language proficiency in English, French, German and Spanish.

Programming Languages: Python, C++, Fortran, R & Matlab






Data Analyst & Modeller in AgriBusiness

Precision Agriculture applications to decrease risk in raw material supply chain.

Integration of remote sensing information, meteorological data sets and ground information, with scripts for jobs automation, to reduce costs in the agribusiness sector.

Design, development and operation of Earth Observation and GIS data exploitation services to internal clients.




Scientist / GIS Analyst

Designed software for assimilation of remote sensing information into ecological models for precision farming and into hydraulic models to predict floods.

Designed, implemented and incorporated, for the European Space Agency (ESA), an automated algorithm to computes worldwide flood inundation and hazard maps for warning systems.


CRP – GABRIEL LIPPMANN · Luxembourg · 2010 – 2014


Hydraulic Modeller / GIS Analyst

Designed and implemented algorithm to derive time series of geophysical parameters from satellite Earth Observation datasets, including SAR, optical, and hyperspectral sensors.

Characterised the global water budget and enhanced the use of EO technology for hydrology at basin scales.

Timely delivery of project results, both for internal and external (ESA, NASA) projects.

Managed large environmental, GIS and SQL databases and data sets including raster, shapefiles, and kml; implemented complex processing chains for data analytics, automated processing chain for quality control of meteorological data, GIS applications and delivered technical support to GIS users in my team.

Promoted to higher functions inside the company, supervision of Master and PhD students.


IRPI – CNR – HYDROLOGY · Italy · 2005 – 2009


Research Assistant in Hydrology

Designed and executed flood risk studies with numerical hydraulic models such as MIKE11, MIKE21, and HEC-RAS.

Performed GIS mapping, analysing large GIS geospatial data layers in both ArcGIS and QGIS competently.



Education & Training


PhD in Geography and Natural Sciences | University of Trier | Germany | 2015

Master of Science in Environmental Engineering | University of Perugia | Italy | 2006



Selected Publications


Probabilistic flood mapping using Synthetic Aperture Radar. L. Giustarini, Renaud Hostache, Dmitri Kavetski, Marco Chini, Giovanni Corato, Stefan Schlaffer, Patrick Matgen IEEE Transactions on Geoscience and Remote Sensing (2016) (in press) doi:10.1109/TGRS.2016.2592951

A user-driven case-based reasoning tool for infilling missing values in daily mean river flow records. L. Giustarini, O. Parisot, M. Ghoniem, R. Hostache, I. Trebs, B. Otjacques Environmental Modelling & Software Aug (2016)

Calibration of channel depth and friction parameters in the LISFLOOD-FP hydraulic model using low resolution SAR data M. Wood, R. Hostache, J. Neal, T. Wagener, L. Giustarini, M. Chini, G. Corato, P. Matgen, P. Bates, Hydrology and Earth System Sciences (submitted)

A Hierarchical Split-Based Approach (HSBA) for automatically mapping flooded areas using SAR images of variable size and resolution M. Chini, R. Hostache, L. Giustarini, P. Matgen, IEEE Transactions on Geoscience and Remote Sensing (submitted)

Flood hazard mapping combining hydrodynamic modelling and multi annual remote sensing data. L. Giustarini, M. Chini, R. Hostache, F. Pappenberger, P. Matgen Remote Sensing, 7, 14200-14226 (2015)  doi:10.3390/rs71014200

A drifting GPS buoy for retrieving effective riverbed bathymetry. R. Hostache, P. Matgen,  L. Giustarini, F.N. Teferle, C. Tailliez, J.-F. Iffly, G.Corato Journal of Hydrology, 520, 397-406 (2015) doi:10.1016/j.jhydrol.2014.11.018

Enhanced biomass prediction by assimilating satellite data into a crop growth model. M. Machwitz, L. Giustarini, C. Bossung, D.Frantz, M. Schlerf, H. Lilienthal, L. Wandera, P. Matgen, L. Hoffmann, T. Udelhoven Environmental Modelling & Software, 62, 437-453 (2014) doi:10.1016/j.envsoft.2014.08.010

Accounting for image uncertainty in SAR-based flood mapping. L. Giustarini, H. Vernieuwe, J. Verwaeren, M. Chini, R. Hostache, P. Matgen, N.E.C. Verhoest, B. De Baets International Journal of Applied Earth Observation and Geoinformation, 34, 70-77 (2015) doi:10.1016/j.jag.2014.06.017

Automated flood detection with improved robustness and efficiency using multi-temporal SAR data. J. Lu, L. Giustarini, B. Xiong, L. Zhao, Y. Jiang, G. Kuang Remote Sensing Letters, 5(3), 240-248 (2014) doi:10.1080/2150704X.2014.898190

Detection of flooded urban areas in high resolution Synthetic Aperture Radar images using double scattering. D.C. Mason, L. Giustarini, J. Garcia-Pintado, H.L. Cloke Int. J. Applied Earth Observation and Geoinformation (2014) doi:10.1016/j.jag.2013.12.002

Improving particle filters in rainfall-runoff models: Application of the resample-move step and the ensemble Gaussian particle filter. D.A. Plaza Guingla, R. De Keyser, G.J.M. De Lannoy, L. Giustarini, P. Matgen, V.R.N. Pauwels Water Resources Research, 49(7), 4005-4021 (2013) doi:10.1002/wrcr.20291

A change detection approach to flood mapping in urban areas using TerraSAR-X. L. Giustarini, R. Hostache, P. Matgen, G.J.-P. Schumann, P.D. Bates, D.C. Mason IEEE Transactions on Gioscience and Remote Sensing, 51(4), 2417-2430 (2013) doi:10.1109/TGRS.2012.2210901

The importance of parameter resampling for soil moisture data assimilation into hydrologic models using the particle filter. D.A. Plaza, R. De Keyser, G.J.M. De Lannoy, L. Giustarini, P. Matgen, V.R.N. Pauwels Hydrology and Earth System Sciences, 16, 375-390 (2012) doi:10.5194/hess-16-375-2012

Assimilating SAR-derived water level data into a hydraulic model: a case study. L. Giustarini, P. Matgen, R. Hostache, M. Montanari, D. Plaza, V.R.N. Pauwels, G.J.M. De Lannoy, R. De Keyser, L. Pfister, L. Hoffmann, H.H.G. Savenije Hydrology and Earth System Sciences, 15, 2349-2365 (2011) doi:10.5194/hess-15-2349-2011

Patent LU92763: Hierarchical tiling method for identifying a type of surface in a digital image

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