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Adian Dawuda



Automated Sentinel-5P Data Pipeline for Pollution Monitoring
78 words·1 min
To streamline the process of monitoring emissions above Thailand and the surrounding areas, this project creates an Python pipeline to automatically download, process, and visualize Sentinel-5P data. This project was conducted at the Asian Institute of Technology’s Geoinformatics Center.
I3 Project: Automated Road Segmentation for Change Detection in Cologne
3886 words·19 mins
Abstract # Through growingly accessible computing power and frameworks, deep learning has emerged as a promising approach to automatically extract information from images, thereby saving time and resources. This project combines earth observation (EO) data analysis with deep learning to highlight changes in the city of Cologne’s road network between the years 1998 and 2019.
Geo AI: Geospatial and Semantic Analyses of Social Media Data
44 words·1 min
This project performs a complete geospatial and semantic analysis of social media data. The methodology used has many real-world application contexts. The code used for this analysis has been implemented as a Jupyter Notebook and can also be accessed through Google Colaboratory or GitHub.
Spatial Data Infrastructure: DMIG
163 words·1 min
Abstract # This project provides a Spatial Data Infrastructure (SDI) that allows for the analysis and visualization of annual domestic migration flows within Germany. We utilize statistical migration data from the GENESIS-Online platform and federal-state boundary data from Eurostat to map these movements.
Software Development: Google Earth Tweet Mapper
98 words·1 min
The following showcases a Java program developed to integrate data from a CSV file and an OGC WMS into a KML file and open the file with Google Earth. The final KML file displays tweets as placemarks along a timescale and uses a WMS image as a ground overlay.