2 papers
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.CV2024
PixelDINO: Semi-Supervised Semantic Segmentation for Detecting Permafrost Disturbances
Konrad Heidler, Ingmar Nitze, Guido Grosse +1
Arctic Permafrost is facing significant changes due to global climate change. As these regions are largely inaccessible, remote sensing plays a crucial rule in better understanding…