15/04/2026
"CropSense" for High-Resolution Drone Image Analysis by Map Mentors — Spatial Research Lab
Sharing CropSense, a free open-source QGIS plugin I developed for multispectral vegetation index analysis from UAV imagery.
The plugin reads multispectral band folders directly, auto-detects band assignments, and calculates 22+ vegetation indices including NDRE, GNDVI, NDVI, MCARI, and EVI in a single run. Results are saved as GeoTIFFs and loaded into QGIS automatically. A custom index formula builder is also included for research-specific indices.
Stack: Python, QGIS Plugin Framework, rasterio, numpy.
Open to feedback from anyone working in remote sensing, precision agriculture, or UAV data processing.
Plugin: https://lnkd.in/dP9dSPGU