  Farm parcel delineation provides cadastral data that is important in
developing and managing climate change policies. Specifically, farm parcel
delineation informs applications in downstream governmental policies of land
allocation, irrigation, fertilization, green-house gases (GHG's), etc. This
data can also be useful for the agricultural insurance sector for assessing
compensations following damages associated with extreme weather events - a
growing trend related to climate change. Using satellite imaging can be a
scalable and cost effective manner to perform the task of farm parcel
delineation to collect this valuable data. In this paper, we break down this
task using satellite imaging into two approaches: 1) Segmentation of parcel
boundaries, and 2) Segmentation of parcel areas. We implemented variations of
UNets, one of which takes into account temporal information, which achieved the
best results on our dataset on farmland parcels in France in 2017.
