Page 384 - Contributed Paper Session (CPS) - Volume 4

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infrastructure; however, it eliminates the need for mobile GIS software, and it
reduces the need for high-end desktop GIS software.

4. Discussion and Conclusion
As we can see from the HxGN Smart Census case study, the challenge
facing democratization of remote sensing and GIS workflows lies not in access
to data, but in access to the processes that create the data and the information
derived from the data. In this case, democratization of the data is not achieved
by free access to satellite data, but rather by empowering NSOs to access
technology that can make their processes more efficient, ultimately allowing
them to produce more accurate data more quickly. By implementing a
streamlined workflow system, the HxGN Smart Census solution empowers
workforces of any size to be quickly trained and to focus on their particular
duties instead of navigating through a complex and perhaps overly-powerful
GIS system.
Under the hood, of course, there is a lot of specialized processing going
on. But that is ameliorated by keeping it under the hood and limited to SMEs
who can set up the processes and workflows, and then step back and allow
the data to flow into the system. This allows SMEs to focus on QA/QC tasks
instead of building map after map after map.
In addition, HxGN Smart Census ensures adherence to standards, simplifies
the planning process, and automates report generation at the end of each
cycle. Not only does this make it easier on the NSO, but it also makes this data
more accurate and more accessible. This higher-quality data can be more
quickly disseminated to stakeholders for their use in understanding the
makeup of their country or region so they can better discern what is needed
to shape smart change in their world.

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