Articles about Sentinel-2 across Sentinel-2, SAR+optical fusion, indices, and EO workflows.
2026-02-17
Convert Sentinel-2 DN to 0–1 reflectance correctly: quantification value, PB 04.00 add offsets, special NoData rules, and when “Harmonized” already fixed it.
2026-01-05
Copy-ready Sentinel-2 index formulas with B8 vs B8A guidance, scaling notes, masking tips, and the pitfalls that break time series.
2025-12-15
Why Sentinel-2 uses UTM tiles, what EPSG codes mean, and how to pick a projection that preserves areas and distances for parcel analytics and time-series.
2025-10-15
A practical comparison of ClearSKY’s satellite-agnostic SAR + optical fusion and Planet’s 3 m Fusion Monitoring. How each handles clouds, time fidelity, noise, resolution, satellites used, and pricing for small and large areas.
2025-09-10
Field-scale Sentinel-2 crop monitoring for Northern Europe: indices, cadence, parcel stats, and cloud-season tactics that hold up in practice.
2025-08-18
Plain-English guidance on what each vegetation index measures, how they behave under soil, haze, and saturation, and practical defaults for real-world monitoring.
2025-08-17
What top-of-atmosphere and bottom-of-atmosphere really mean, why L2A is computed from L1C, and when ML or analytics should use L1 vs L2.
2025-08-15
Why optical imagery struggles in northern winters, how Sentinel-1 SAR helps, and the processing choices that make or break time-series.
2025-08-11
A practical, global guide to cloud seasonality, why patterns shift by region, and how to time cloud-free and cloudless requests with Sentinel-2 and companion missions.
2025-08-09
Cloud masking for satellite imagery is not binary. Cirrus, stratocumulus, haze, aerosol, snow, bright sand, sunglint, and cloud shadows require probabilistic masks and careful thresholds.
2025-08-07
Sentinel-2 MSI band cheat sheet for L1C vs L2A: wavelengths, resolutions, key uses, and how they map to Landsat and commercial sensors.
2025-08-05
Clear definitions, methods, and tradeoffs for multi-sensor harmonization, which makes sources comparable, and data fusion, which combines them into one estimate.
2025-08-01
When to use single-date cloud-free imagery vs. multi-date cloudless mosaics – and why modern AI fusion is changing the definitions.