There are two very different kinds of 'AI for satellite imagery' — pixel-level models that measure change, and a reasoning layer that explains what it means. Here is how they differ, where each is reliable, and why the honest answer to 'can AI read an image' is 'it depends what you mean by read.'
2026-07-01 · 6 min read
Satellites monitor the industrial sites you cannot walk onto — mine footprints, tailings storage, refineries, and their surroundings — for environmental and operational risk. A practical guide to what open imagery resolves, which sensors and techniques matter, and how to keep a standing watch without code.
2026-07-01 · 6 min read
How unsupervised methods flag change in a satellite time series without labelled training data — from the ±2σ rule to seasonal decomposition and isolation forests — and how to watch an area for anomalies without writing code.
2026-07-01 · 7 min read
Landsat is the longest continuous record of Earth's surface from space, running since 1972. Learn how Landsat 8 and 9 work, what their OLI and TIRS sensors measure, how the 30m archive enables long-term change detection, and how Landsat compares to Sentinel-2.
2026-06-18 · 5 min read
Anomaly detection in satellite time series identifies data points that deviate significantly from expected seasonal patterns. Learn how statistical methods flag unusual events in NDVI, SAR backscatter, and other indices — and how to distinguish real environmental events from noise.
2026-03-27 · 9 min read
Sentinel-1 SAR backscatter time series detects land surface changes regardless of cloud cover or daylight. Learn how VV, VH intensity, RVI, RFDI, and Cross Ratio respond to flooding, deforestation, vegetation growth, and construction events.
2026-03-26 · 7 min read
How SAR coherence maps reveal surface changes even through clouds and at night. Understand temporal coherence, its relationship to surface stability, and practical applications in disaster assessment and construction monitoring.
2026-02-04 · 8 min read
Not all change detection methods are equal. This post compares image differencing, NDVI time-series, and SAR coherence-based approaches with real-world guidance on when to use each one.
2026-01-22 · 7 min read
How satellite imagery tracks coastal erosion, shoreline retreat, and sediment transport over time. Covers waterline extraction methods, sub-pixel accuracy techniques, and long-term change analysis with Landsat and Sentinel-2.
2026-01-19 · 8 min read
How satellite imagery monitors construction progress at infrastructure projects, mining operations, and development sites. Covers change detection methods, temporal baselines, and practical applications in project verification.
2025-09-21 · 8 min read
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
Assigning different dates to RGB channels creates a single color image where changes pop out in vivid colors. This technique turns SAR's temporal dimension into an intuitive visual tool.
2025-07-08 · 5 min read
Difference analysis compares two satellite images from different dates to reveal what changed. This guide walks through the complete workflow — from selecting images to interpreting results — with tips for avoiding common mistakes.
2025-07-02 · 6 min read