3 papers
cs.CV2025
SHAZAM: Self-Supervised Change Monitoring for Hazard Detection and Mapping
Samuel Garske, Konrad Heidler, Bradley Evans +2
The increasing frequency of environmental hazards due to climate change underscores the urgent need for effective monitoring systems. Current approaches either rely on expensive la…
cs.CV2024
Machine Learning for Methane Detection and Quantification from Space - A survey
Enno Tiemann, Shanyu Zhou, Alexander Kläser +3
Methane () is a potent anthropogenic greenhouse gas, contributing 86 times more to global warming than Carbon Dioxide () over 20 years, and it also acts as an air pollu…
cs.AI2024
On the Foundations of Earth and Climate Foundation Models
Xiao Xiang Zhu, Zhitong Xiong, Yi Wang +7
Foundation models have enormous potential in advancing Earth and climate sciences, however, current approaches may not be optimal as they focus on a few basic features of a desirab…