The issue of land/soil consumption and degradation has been extensively explored in international literature, yet a universally accepted definition of soil quality remains elusive. Over the decades, the scientific community has witnessed the evolution of the concept of land/soil quality, with varying nuances across different disciplines. The absence of a shared definition poses challenges in addressing local concerns and preserving the distinctiveness and well-being of the soil. The present paper seeks to fill this gap from the spatial planning perspective by proposing a soil quality detection framework tailored for the sub-regional spatial context, offering support in particular for local planning decisions. The concept of soil quality is approached comprehensively, and the indicators put forth are selected based on specific soil functions, services, or threats. To support this all-encompassing approach through a case study in the Italian context, this paper suggests integrating 11 datasets and 55 indicators. This extensive dataset aims to quantify and generate meaningful cartographic representations, offering a multifaceted and detailed understanding of soil quality within the sub-regional context. The goal is to establish a framework that facilitates a more holistic understanding of soil quality, aiding in effective spatial planning and policy-making processes.