Soil is a finite and irreplaceable resource that underpins agricultural systems, regulates water cycles and presents opportunities for climate change mitigation. Consequently, the sustainable management of soil is essential for guarding the security of agricultural production and ecosystems. For this to occur, however, an accurate understanding of inherent soil properties and how they vary spatially, is required. Within the lower Murrumbidgee valley of southern NSW, Australia, there is a paucity of available data and land managers require more information on both the chemical and physical properties of their soils and the presence of potential constraints to agricultural production. While the development of novel approaches and ‘blue-sky’ research is important, the targeted application of developed methods is essential in filling knowledge gaps and allowing benefits to reach the end user, in this instance, farmers and land managers. Within the lower Murrumbidgee valley farmers are a key stakeholder of the soil resource. Thus, they should be a key consideration when designing, undertaking and communicating projects to ensure their outcomes are tangible. Therefore, rather than seeking to develop novel approaches to digital soil mapping (DSM) and digital soil assessment (DSA), this thesis utilises various methods recognised in literature to develop outputs targeted to the cotton industry in southern NSW. Using a collected dataset of 153 soil cores to 1 m depth from across the region, soil profiles are morphologically described, soil properties are modelled and mapped at the within-field and regional scales, before a regionally specific classification is developed.