MultiEarth 2023 -- Multimodal Learning for Earth and Environment
  Workshop and Challenge
Miriam Cha Gregory Angelides Mark Hamilton Andy Soszynski Brandon Swenson Nathaniel Maidel Phillip Isola Taylor Perron Bill Freeman
The Multimodal Learning for Earth and Environment Workshop (MultiEarth 2023)
is the second annual CVPR workshop aimed at the monitoring and analysis of the
health of Earth ecosystems by leveraging the vast amount of remote sensing data
that is continuously being collected. The primary objective of this workshop is
to bring together the Earth and environmental science communities as well as
the multimodal representation learning communities to explore new ways of
harnessing technological advancements in support of environmental monitoring.
The MultiEarth Workshop also seeks to provide a common benchmark for processing
multimodal remote sensing information by organizing public challenges focused
on monitoring the Amazon rainforest. These challenges include estimating
deforestation, detecting forest fires, translating synthetic aperture radar
(SAR) images to the visible domain, and projecting environmental trends. This
paper presents the challenge guidelines, datasets, and evaluation metrics. Our
challenge website is available at
https://sites.google.com/view/rainforest-challenge/multiearth-2023.