10 citations · 10 across the 4 of their papers we have counts for
4 papers
DisasterInsight: A Building-Centric Benchmark for Evaluating Vision--Language Models in Disaster Response
Sara Tehrani, Yonghao Xu, Leif Haglund +3
Vision--language models (VLMs) show promise for disaster-response remote sensing, but existing benchmarks mainly emphasize scene-level or damage-centric assessment. To study this b…
Comparing Next-Day Wildfire Predictability of MODIS and VIIRS Satellite Data
Justus Karlsson, Yonghao Xu, Amanda Berg +1
Multiple studies have performed next-day fire prediction using satellite imagery. Two main satellites are used to detect wildfires: MODIS and VIIRS. Both satellites provide fire ma…
Exploring Seasonal Variability in the Context of Neural Radiance Fields for 3D Reconstruction on Satellite Imagery
Liv Kåreborn, Erica Ingerstad, Amanda Berg +2
In this work, the seasonal predictive capabilities of Neural Radiance Fields (NeRF) applied to satellite images are investigated. Focusing on the utilization of satellite data, the…
Sen2Fire: A Challenging Benchmark Dataset for Wildfire Detection using Sentinel Data
Yonghao Xu, Amanda Berg, Leif Haglund
Utilizing satellite imagery for wildfire detection presents substantial potential for practical applications. To advance the development of machine learning algorithms in this doma…