Developed a fully Python-based tool to automate the creation of hypsometric maps, integrating hillshade effects and drainage networks. The script processes a defined geometry and a directory of elevation rasters (e.g., ALOS PALSAR, SRTM, or any DEM source), generating visualizations without the need for GIS software.

All functionalities are modularized, and the tool is designed to support environmental valuation, compliance monitoring, and remote sensing inspections for rural properties. It enables the rapid and automated generation of maps in just seconds, making elevation and watershed information accessible—even to non-technical audiences.

Currently, the project is in a refinement phase focused on enhancing the visual layout using Matplotlib, along with geospatial libraries such as GeoPandas and Rasterio, to ensure clean, context-aware map composition across various reporting needs.