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Sentinel data management on Google Earth Engine

Manoudakis Stylianos

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Year 2018
Type of Item Diploma Work
Bibliographic Citation Stylianos Manoudakis, "Sentinel data management on Google Earth Engine", Diploma Work, School of Mineral Resources Engineering, Technical University of Crete, Chania, Greece, 2018
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The need for data management and correlation within a spatial context has led the scientific community to develop platforms that can handle a variety of spatio-temporal data. Geographic Information Systems have helped many scientific disciplines in data analysis and management as well as decision-making through appropriate spatial information processing. In recent years, in the information systems industry, the rapid development of the Cloud technology has also been introduced in the field of Geographic Information Systems (GIS). In the framework of the Data Democratization, namely the open availability of large volumes of data and the ability to visualize and process them by the average user, the Google Earth Engine platform was developed. By offering daily data collected from various satellite imagery services (e.g. ESA, USGS, MODIS) and at the same time providing the user with a programming API application development environment, it enables any researcher to make use of satellite remote sensing data. This diploma thesis aims at exploring the possibilities of the platform, by developing a number of remote sensing applications. Through the successful implementation of all the algorithms, the familiarization with the application and the interaction with the community, we conclude that Earth Engine can become a platform for data analysis, and also a powerful analytical tool in the hands of the experienced programmer. 

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