Konstantin Müller

Remote sensing and deep learning

About

 

Konstantin joined the EORC as a doctoral researcher with an academic background in computer science. His PhD project focuses on the relationship between population development and open-pit mining activities with a focus on central Africa, including socio-economic aspects. Besides helping out the UAV Team to fly drones, his main research interests are anchored within the methodological aspects of Deep Learning and big data. Secondary, he spends time writing software and tools to automatize various tasks regarding data collection, sorting, pre-processing and analysis. His favorite part about being a remote sensing researcher is getting to know study sites around the globe, picking out his favorites of what geo-spatial IT and geography has to offer.

 

  Courses

 

 

Recent News

EAGLE presentation by Gökçe Yağmur Budak

EAGLE presentation by Gökçe Yağmur Budak

On November 26, 2024, Gökçe Yağmur Budak will present her internship results on " Leveraging Data-Driven Approaches for Seismic Risk Assessment in Istanbul " at 12:30 in seminar room 3, John-Skilton-Str. 4a. From the abstract: This internship aims to create time...

Master Defense: Comparing the suitability of remote sensing and wildlife camera time series for deriving phenological metrics of understory vegetation in temperate forests of Upper Franconia, Bavaria

Master Defense: Comparing the suitability of remote sensing and wildlife camera time series for deriving phenological metrics of understory vegetation in temperate forests of Upper Franconia, Bavaria

On September 18, Sarah Schneider will present her master thesis "Comparing the suitability of remote sensing and wildlife camera time series for deriving phenological metrics of understory vegetation in temperate forests of Upper Franconia, Bavaria" at 14:00 in...