WASCAL MSc Program course on spatial data analysis

WASCAL MSc Program course on spatial data analysis

May 7, 2021

As part of the project WASCAL-DE-Coop, the Department of Remote Sensing at the University of Würzburg conducted the second course on Spatial Data Analysis, embedded in the WASCAL Master Research Program “Climate Change and Informatics” at the University Université Joesph Ki-Zerbo, Ouagadougou in Burkina Faso. The WASCAL MSc students worked on and implemented spatial data and spatial data analysis methods, working with remote sensing data and programming in Python.

Ten intense days (April 26 to May 07) of spatial data analysis with much theory and, most importantly, exercises just finished. And in the end, it just feels like time was running so fast. We wish all WASCAL master students in Ouagadougou maximum success in implementing their research work and the always right portion of curiosity and passion in spatial data analysis.

you may also like:

Blender animation of Arctic Summer and Night

Blender animation of Arctic Summer and Night

Our EAGLE M.Sc. student Sebastian Rothaug continued working with various software programs and approaches we covered in our courses during the last winter term and came up with some great Arctic summer/winter animations using Blender. Sebastian's remarkable work with...

‘Ecosystem Services of the Urban Forest’-project meeting at DLR

‘Ecosystem Services of the Urban Forest’-project meeting at DLR

As part of the project "Ecosystem Services of the Urban Forest: area-wide modeling based on remote sensing and artificial intelligence" funded by the Deutsche Bundesstiftung Umwelt (DBU), the core team met at the Earth Observation Center (EOC) of the German Aerospace...

Five Years of Data Cube Innovations in AgriSens DEMMIN 4.0

Five Years of Data Cube Innovations in AgriSens DEMMIN 4.0

Over the past five years, we made significant advancements with our Data Cube development within the AgriSens DEMMIN 4.0 project. We enhanced the system architecture and the offerings of the Data Cube to optimize the use of remote sensing data for agricultural...