<p>Landscape results from the prolonged interaction between humans and territory, while toponymy reflects the perceptions of its inhabitants. This study develops a transferable methodological framework that integrates Geographic Information Systems (GIS) with geostatistical tools to analyze the relationship between landscape classifications and the semantic dimension of toponymy as complementary indicators for environmental monitoring. The research was carried out in the Urola-Kosta (Basque Country, Spain) region, using high-resolution open data provided by public administrations. The most detailed available landscape typology was employed, together with a dense toponymic database in which place names were categorized according to semantic roots. The analytical workflow incorporated nearest-neighbor analysis, kernel density estimation, spatial autocorrelation, multiple correspondence analysis, and co-occurrence analysis. Results show that toponymic density and texture provide measurable indicators of land use and landscape dynamics: urban areas concentrate higher toponymic density, phytonymy dominates agrarian and forest contexts, and temporal dynamics emerge in the persistence of vineyard-related names versus the absence of names for recent forest plantations. The study reinforces the concept of the Toponymic Cultural Landscape (TCL) and demonstrates that toponymy can serve as a replicable proxy for monitoring land use change and cultural landscape dynamics. This approach provides new metrics for environmental assessment by linking intangible heritage to spatial analysis. Finally, it also illustrates how digital methods can help integrate cultural dimensions into sustainable territorial development, in line with Sustainable Development Goal 11.4.</p>