  ESA operates the Sentinel-1 satellites, which provides Synthetic Aperture
Radar (SAR) data of Earth. Recorded Sentinel-1 data have shown a potential for
remotely observing and monitoring local conditions on broad acre fields. Remote
sensing using Sentinel-1 have the potential to provide daily updates on the
current conditions in the individual fields and at the same time give an
overview of the agricultural areas in the region. Research depends on the
ability of independent validation of the presented results. In the case of the
Sentinel-1 satellites, every researcher has access to the same base dataset,
and therefore independent validation is possible. Well documented research
performed with Sentinel-1 allow other research the ability to redo the
experiments and either validate or falsify presented findings. Based on current
state-of-art research we have chosen to provide a service for researchers in
the agricultural domain. The service allows researchers the ability to monitor
local conditions by using the Sentinel-1 information combined with a priori
knowledge from broad acre fields. Correlating processed Sentinel-1 to the
actual conditions is still a task the individual researchers must perform to
benefit from the service. In this paper, we presented our methodology in
translating sentinel-1 data to a level that is more accessible to researchers
in the agricultural field. The goal here was to make the data more easily
available, so the primary focus can be on correlating and comparing to
measurements collected in the broadacre fields. We illustrate the value of the
service with three examples of the possible application areas. The presented
application examples are all based on Denmark, where we have processed all
sentinel-1 scan from since 2016.
