  The Multimodal Learning for Earth and Environment Challenge (MultiEarth 2022)
will be the first competition aimed at the monitoring and analysis of
deforestation in the Amazon rainforest at any time and in any weather
conditions. The goal of the Challenge is to provide a common benchmark for
multimodal information processing and to bring together the earth and
environmental science communities as well as multimodal representation learning
communities to compare the relative merits of the various multimodal learning
methods to deforestation estimation under well-defined and strictly comparable
conditions. MultiEarth 2022 will have three sub-challenges: 1) matrix
completion, 2) deforestation estimation, and 3) image-to-image translation.
This paper presents the challenge guidelines, datasets, and evaluation metrics
for the three sub-challenges. Our challenge website is available at
https://sites.google.com/view/rainforest-challenge.
