multispectral-imagery

Object-based land-cover classification of UAV multispectral imagery using SVM in ArcGIS Pro, with image segmentation and post-classification refinement at Cass Field, New Zealand.

Deep learning based glacier segmentation and mapping using multispectral satellite imagery with ResUNet and semantic segmentation techniques.

GRASS GIS shell scripts computing ten vegetation indices (NDVI, DVI, ARVI, EVI, GEMI, MSAVI2, NDWI, PVI, GARI, IPVI) from Landsat OLI/TIRS imagery for woodland mapping and deforestation change detection in central Angola (2013-2023).

Hybrid cloud detection and segmentation framework using Landsat-9 multispectral imagery, spectral thresholding, and CNN-based deep learning.