norielyela13-collab/clasificacion-cobertura-armenia
Clasificacion de cobertura terrestre de Armenia, Quindio usando Sentinel-2 y SegFormer
A Python project for land cover classification in Armenia, Quindío, Colombia using Sentinel-2 satellite imagery and the SegFormer semantic segmentation model. It implements a full pipeline from data download and label generation (using IDEAM land cover maps) to model training, prediction, and visualization.
An interactive web platform visualizing environmental data (air quality, vegetation health, fire risk, land cover) ac...
A comprehensive geospatial AI platform for parcel-level land analysis in Armenia, combining a tool-using LLM assistan...
A TerriaJS-based web mapping platform for Armenian community data, providing configuration files and data management ...
An interactive web map of Armenia displaying 15 different data layers (population, schools, hospitals, etc.) across t...
A web-based 3D visualization tool for a Digital Surface Model (DSM) of the Armenia sector. It uses Three.js and GIS d...
A web-based 3D point cloud viewer for a massive 88-million-point drone survey of the Armenia sector in Quito, Ecuador...