land cover
4 articlesSAR-Optical Data Fusion: Getting More from Two Sensors Than Either Alone
How to combine SAR radar and optical satellite imagery for better land cover mapping, change detection, and cloud-gap filling. Covers pixel-level, feature-level, and decision-level fusion approaches.
2026-01-09 · 10 min read
Supervised vs Unsupervised Classification in Remote Sensing
Supervised and unsupervised classification compared: inputs, algorithms (Random Forest, k-means), accuracy assessment and when to use each for land cover.
2025-12-07 · 7 min read
Forest Type Classification from Satellite Imagery: Mapping What Grows Where
How satellite multispectral and SAR data classify forest types — coniferous vs. broadleaf, evergreen vs. deciduous, species groups. Covers spectral and phenological approaches, accuracy expectations, and global forest type maps.
2025-11-01 · 10 min read
Land Cover Change Detection: Methods for Tracking How Earth's Surface Evolves
A practical guide to satellite-based land cover change detection methods — post-classification comparison, image differencing, time series analysis, and object-based approaches. When to use each and expected accuracy.
2025-08-23 · 7 min read