GeoPython 2021

David Montero Loaiza

I'm a Topographic Engineer graduated from the University of Valle (Cali, Colombia) and a Master in Data Science graduated from the University of Cantabria (Santander, Spain).

I have worked for almost 5 years on topics related to Geomatics: Geographic Information Systems, Photogrammetry and Remote Sensing (the latter being my field of specialization). During this time I have applied data analysis (statistics, programming and Machine Learning) to the geospatial data branch. During the last year I have expanded my field of work to the Data Science area, being my research interests now: Data Science, Remote Sensing, Machine Learning, Computer Vision, Deep Learning and Google Earth Engine.

I have a great liking for the publication of results and I have 10 research publications (6 research articles in journals and 4 research articles in conference proceedings). I have also been a speaker at different conferences hosted by companies such as Google (Geo For Good Summit, 2020), IGAC (International Geomatics Week, 2015 - 2017) and TecnicaƱa (IX Atalac-TecnicaƱa Congress, 2018).

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Talks

eemont: A Python Package that extends Google Earth Engine

eemont is a new python package that extends Earth Engine classes with methods to pre-process (and process) the most used satellite imagery.