Tutorials, case studies, and technical insights on satellite imagery analysis.
NASA FIRMS provides near real-time fire hotspot data from VIIRS and MODIS satellites. Learn how active fire monitoring works, what the data shows, and how to use it in Off-Nadir Delta for wildfire tracking and disaster response.
SAR and optical satellites measure fundamentally different things. This guide explains the physics, strengths, and limitations of each — and when to combine them for better results.
How SAR backscatter responds to soil moisture content, the physical basis for radar-based soil moisture estimation, and practical challenges including vegetation cover and surface roughness effects.
NASA-ISRO's NISAR mission brings L-band SAR to routine global monitoring. This post explains what L-band sees that C-band doesn't, why it matters for biomass and deformation studies, and how to prepare for the data.
Why raw satellite images are geometrically distorted and how orthorectification corrects them using sensor models, ground control points, and digital elevation models. Covers the difference between georeferencing, geocoding, and orthorectification.
Cloud-Optimized GeoTIFF (COG) is becoming the standard for satellite data distribution, but many users don't understand what makes it different from a regular GeoTIFF. This post explains the internal structure, performance benefits, and practical implications.
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.
Understanding the granular noise pattern in SAR imagery, why it exists, and practical filtering approaches including Lee, Frost, and multi-temporal averaging. When to filter and when speckle carries useful signal.
SAR polarization modes determine what you see in radar imagery. This post explains the physics behind polarization, why Sentinel-1 uses VV and VH, and how to choose the right polarization for your application.
How hyperspectral satellites like PRISMA and EnMAP capture hundreds of narrow spectral bands, enabling mineral identification, crop stress detection, and water quality analysis beyond multispectral capabilities.
Interferometric SAR (InSAR) explained — how phase differences between two SAR acquisitions reveal ground deformation, subsidence, and tectonic movement with millimeter precision. Covers differential InSAR, coherence, and real-world applications.
With dozens of satellite data sources available, picking the right one for your specific analysis can be overwhelming. This decision guide walks through the key questions to ask before you start.