Sentinel-2, multi-source fusion, indices & EO workflows — no fluff, just practical guides.
2026-03-31
A practical comparison of Sentinel-2 SCL, s2cloudless, FMask, Cloud Score+, and KappaMask for cloud masking, pixel usability, time-series analysis, and quality assurance workflows.
2026-02-27
Cloud-Optimized GeoTIFF (COG) explained: How GeoTIFF streams via HTTP byte-range requests, why it became the default, and how to create fast, valid COGs with GDAL.
2026-02-17
Fix invalid polygons fast: Diagnose self-intersections, hole errors, and CRS mistakes, then repair in GeoJSON, QGIS, or PostGIS.
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.
2025-08-21
ClearSKY vs AlphaEarth, plus where Sentinel-2 fits. Compare SAR + optical fusion with date faithfulness and near real-time against model-derived layers.
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
Sentinel-2 Level-1C vs. Level-2A explained: What TOA and surface reflectance mean, how L2A is derived from L1C, and when analytics or machine learning should start from each.
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.
2025-08-13
Concrete definitions for real-time, near real-time, and same-day satellite delivery. Learn timestamps, latency SLAs, and how to avoid temporal leakage.
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
Binary cloud masks create gaps or contamination. Use probabilities, geometry, and temporal fusion for cirrus, haze, and shadows.
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.
2025-06-01
Learn the practical difference between cloud-free (single-date) imagery and cloudless (multi-date) mosaics, and how modern fusion can blur the labels without hiding time.