The geospace research community has always relied on remote sensing for much of its observational data. Often in the past, the spatial and temporal resolution requirements on these observations were rather course since much of the research focused on large-scale phenomena that evolved on rather slow times scales such as how the high-latitude convection pattern evolved in response to changes in the IMF. As our science progresses there is a natural increase in the resolution requirements as the focus moves to smaller scales. Further, as we learn more about the interaction of phenomena at disparate scales we have found that often the small-scale phenomena can in fact have significant influence on the large-scale system behavior. Hence, today there is strong desire for measurements with higher resolution in both space and time.

While the resolution requirements increase, it is not always possible to find the resources to build new instruments to answer these requirements. Fortunately, there are often improvements that can be gained through development of analysis techniques or through modest hardware investments combined with analysis developments. In this presentation, I will discuss some of the work we have done with data from the SuperDARN network to produce high-resolution maps of ionospheric plasma convection and recent work on the application of radar imaging to the basic radar observations to produce even higher resolution.