classification
5 articlesSupervised vs Unsupervised Classification: Two Approaches to Mapping Land Cover
How supervised and unsupervised classification work in remote sensing, when to use each approach, and the practical trade-offs between training data requirements, accuracy, and scalability.
2025-12-07 · 7 min read
Machine Learning for Satellite Image Classification: From Random Forest to Deep Learning
A practical guide to applying machine learning for satellite image classification — training data, feature engineering, algorithm selection, and accuracy assessment. Covers Random Forest, gradient boosting, CNNs, and when each approach is appropriate.
2025-11-19 · 9 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
Crop Type Mapping with Satellite Imagery: Telling Wheat from Corn from Space
How multi-temporal satellite data enables crop type identification and mapping at field scale. Covers phenological signatures, classification approaches, and accuracy expectations for different crop types.
2025-06-18 · 9 min read