Abstract:
This study effectively demonstrates the power of Digital Terrain Models (DTMs) in detailed micro
level mapping and landform pattern analysis, proving particularly valuable for large-scale cadastral
initiatives. Integrating GIS and remote sensing techniques, DTMs enable nuanced spatial
evaluations and richer visual representations. The research methodology incorporated a synergistic
blend of existing cadastral maps, elevation data sourced from SRTM and ALOS DEM, field
collected GPS readings, and pre-existing Digital Elevation Model (DEM) data. This integrated
approach yielded several significant outcomes for detailed micro-level mapping. Specifically,
DTMs facilitated a deeper understanding of the physiographic arrangement and the identification
of areas susceptible to erosion. Furthermore, they aided in comparing soil distribution patterns,
revealing homogeneity or heterogeneity, while 3D visualization capabilities allowed for the analysis
of intricate soil-geomorphic and physiographic interrelationships. In conclusion, the study
underscores the effectiveness of DTMs in micro-level spatial investigations, especially for mapping
small villages or watersheds to pinpoint erosion-prone zones. This was followed by an analysis of
soil-physiographic relationships and the potential for land resource mapping, ultimately assisting
in the identification of critical water conservation hotspots. Ultimately, DTMs present a cost
efficient methodology for natural resource mapping and streamlining field survey operations.
