4 papers
A Multi-tiered Human-in-the-loop Approach for Interactive School Mapping Using Earth Observation and Machine Learning
Casper Fibaek, Abi Riley, Kelsey Doerksen +2
This paper presents a multi-tiered human-in-the-loop framework for interactive school mapping designed to improve the accuracy and completeness of educational facility records, par…
Predicting Internet Connectivity in Schools: A Feasibility Study Leveraging Multi-modal Data and Location Encoders in Low-Resource Settings
Kelsey Doerksen, Casper Fibaek, Rochelle Schneider +2
Internet connectivity in schools is critical to provide students with the digital literary skills necessary to compete in modern economies. In order for governments to effectively…
Evaluating and Benchmarking Foundation Models for Earth Observation and Geospatial AI
Nikolaos Dionelis, Casper Fibaek, Luke Camilleri +3
When we are primarily interested in solving several problems jointly with a given prescribed high performance accuracy for each target application, then Foundation Models should fo…
PhilEO Bench: Evaluating Geo-Spatial Foundation Models
Casper Fibaek, Luke Camilleri, Andreas Luyts +2
Massive amounts of unlabelled data are captured by Earth Observation (EO) satellites, with the Sentinel-2 constellation generating 1.6 TB of data daily. This makes Remote Sensing a…