The textbook you need to learn how to map, identify and quantify oil spills in marine ecosystems using Earth Observation
This textbook course will guide you to learn how to use hyperspectral and multispectral remote sensing images to:
To accomplish these, two methodologies are presented presented based on satellite earth observation images. Also experiments using ground spectral measurements are used in order to build a Spectral Library and develop a model for thickness estimation.
This textbook course is ideal for students and professionals either in the EO&GIS domain or in the environmental monitoring domain.
While Synthetic Aperture RADAR (SAR) are used operationally to map oil spills, optical remote sensing and especially hyperspectral remote sensing can not only map, but also identify the oil spill type and estimate the spill thickness over it's entire extent!
I'm a Remote Sensing and a Surveying Engineer. I received my degree from NTUA in 2010, where I also received my Ph.D. in hyperspectral remote sensing in 2016. From graduation in 2010, my career started as a Researcher Associate and Teaching Associate in the Laboratory of Remote Sensing of NTUA. From that time I also worked at several private companies as a Remote Sensing Expert and Geospatial Analyst. From the beginning of 2015 I was positioned as Senior Earth Observation Expert. During these years, I have participated in more than 20 funded European Commission and European Space Agency projects, have over 16 peer reviewed scientific publications in the field of Remote Sensing, and have an international patent in hyperspectral data compression.
My main research and professional interests are in the optical remote sensing area, where I specialize in data (images, point measurements) processing and algorithm design and development. Some of the software tools that I operate to accomplish my research and business dreams are SNAP, ENVI, IDL, QGIS, ERDAS Imagine, ArcGIS, and Python. I have been working with these tools since 2008.