Construction in forest lands and natural-resource areas is more than a physical transformation of land cover; each observed change must be traceable to a cadastral unit and reconcilable with the legal status of the land, public-law restrictions, and applicable permits. This study investigates the capacity of environmental cadastre to establish this linkage and convert temporal land monitoring into spatially traceable documentation. A combined spatial–legal approach was developed through a case study of Lalon Village, Tehran Province. Google Earth imagery from 2011 and 2024 was prepared in ENVI and classified using supervised Maximum Likelihood Classification into three classes: wasteland, green space, and built-up areas. Post-classification change detection was then conducted in ArcGIS, and the outputs were integrated as a 1:5,000 analytical environmental-cadastre layer. Overall classification accuracy for 2011 and 2024 was 92.703% and 96.405%, with Kappa coefficients of 0.902 and 0.945, respectively. Built-up areas increased from 5.67 to 8.27 ha, including conversions of 3.30 ha of wasteland and 2.77 ha of green space to built-up areas. The central finding is that detected change does not, in itself, establish non-compliance; its administrative value lies in attributing the change to a land unit and reconciling it with cadastral boundaries, legal status, restrictions, and permits. Accordingly, the study advances “spatial–legal reconciliation of land status” as a framework for moving from static cadastral mapping toward a multilayer, time-enabled environmental cadastre capable of tracing land change, reducing spatial ambiguity, and directing cadastral, environmental, and administrative review.