  We present simple algorithms for land cover change detection in the 2021 IEEE
GRSS Data Fusion Contest. The task of the contest is to create high-resolution
(1m / pixel) land cover change maps of a study area in Maryland, USA, given
multi-resolution imagery and label data. We study several baseline models for
this task and discuss directions for further research.
  See https://dfc2021.blob.core.windows.net/competition-data/dfc2021_index.txt
for the data and https://github.com/calebrob6/dfc2021-msd-baseline for an
implementation of these baselines.
