Cloud free mosaics or composites products are a special type of advanced Earth Observation products that can be used in numerous applications. The process of creating high resolution and accurate seamless cloud-free mosaics is a very sophisticated and time consuming process.  

We have developed a fully automatic process to composite index based temporal global cloud free mosaics, which relies on pixel and object based techniques and algorithms taking advantage of both cloudy and clear pixels/objects. The above allows us to create high resolution mosaics eliminating ordinary difficulties like finding the best separation border between overlapping areas, geometric distortions, colour disparity as well as more demanding issues like cloud/shadow detection and removal.

We have created two cloudless mosaics (for the years 2015 and 2016) of Estonia exploiting indexes from Landsat 8. More than 100 images, for each year, during the time period of June-August were used in order to produce the mosaics below.

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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.

Dimitris Sykas

Remote Sensing Expert

Dimitris Sykas

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