Welcome everyone! If you are in the field of GIS/Remote Sensing, you are probably hearing everyone talking about Python and its usefulness in various GIS related tasks.
GIS and Remote Sensing are one of the most integrated fields combining skills from different areas such as Computer Science, Engineering, Geography, Mathematics, etc.
To become a stronger and more competitive GIS professinal and to increase your value in the GIS industry you need to learn how to program. Python is one of the most spreading programming languages in the IT world and with huge usability in the GIS/Remote Sensing field. You can find many articles mentioning why Python is the future of GIS and how you can get a more competitive salary just by learning how to use Python routines.
According to the IEEE Spectrum (https://spectrum.ieee.org/static/interactive-the-top-programming-languages-2017) Python is the top ranked programming language!
This course isn't so much about learning the basic principles of Python, but rather how to integrate different spatial libraries and utilities within your Python code. Using the course material, you will learn how to combine different GIS/Remote Sensing Python Libraries and Packages, like GDAL, Numpy and OGR, to solve real life spatial problems!!
Start your Python Geospatial Development Journey with more than 200 pages with Python practical recipes, code examples or solutions explanation!!
I am a Remote Sensing and a Surveying Engineer. I received my Diploma in the Department of Rural and Survey Engineering from the National Technical University of Athens (NTUA), where I also received my M.Sc. in the domain of Geoinformatics and Remote Sensing.
From the beginning of 2013 I am working as a GIS and Photogrammetry Expert in the private sector offering support and solutions in GIS, Remote Sensing and Photogrammetry applications. Also, from 2013 I am a Research Assistant in the Laboratory of Remote Sensing of National Technical University of Athens (NTUA). I have actively participated in more than 10 funded European Commission and European Space Agency projects and I have more than 15 peer reviewed scientific publications in journals and conferences.
I have experience in the fields of the state of the art technologies in WebGIS, remote sensing, data processing, multispectral images, radar, big data, data mining and machine learning algorithms. My main areas of research are the automated procedures/classification algorithms for land cover/uses mapping. Some of the software tools I operate in common basis for geospatial applications are: ERDAS IMAGINE suite, QGIS, ESRI suite and Python.