This paper presents results of investigations of the relationship between o
ptimal image resolution and associated sky-coverage for ionospheric tomogra
phy. Several measures of the variation of image information content as a fu
nction of resolution are presented for understanding the trade-offs between
information content and computational resources. A new quantitative descri
ption of imaging geometry that enables sky-coverage analysis for this limit
ed information tomographic system is introduced here. This paper also prese
nts examples of commonly encountered nonideal system geometries, diagnosis
of associated image artifacts, and improvements achieved by minor logistica
l modifications to the imaging system.