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🧰 All Tools Hub 📡 Conflict OSINT Monitor 🔐 Whistleblower PGP & Email 🎓 Peer-Review Verifier 🛰️ Satellite & NDVI Analyzer 👤 Username Recon (OSINT) 🧭 Media Bias Radar 📋 Verification Decision Tree 🛡️ Verification Navigator 🔬 Image Forensics (ELA) 🏷️ Deep Metadata Inspector 🔍 Reverse Search Hub ☀️ Solar Chronolocator 🎬 Video Keyframe Verifier
Engine #10 • Remote Sensing OSINT Studio Zero Upload • 100% Client-Side Memory (Canvas 2D)

Multispectral Satellite Band & NDVI Calculator

Analyze planetary satellite feeds beyond visible light. Upload separate Sentinel-2 and Landsat spectral bands or single optical satellite crops to calculate Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI), and Normalized Burn Ratio (NBR) in real time.

⚡ Load Pre-Calibrated Investigative Presets:
⟷
Cursor Position X: --- , Y: ---
Computed Value NDVI: ---
Reflectance Bands NIR: --- | RED: ---
Classification / Ground Diagnostic Move cursor over satellite frame to inspect...
-1.0 (Water / Shadow) 0.0 (Excavated Soil) +0.25 (Sparse) +0.50 (Moderate) +1.0 (Dense Canopy)
🚜 Disturbed Soil / Trench Area
-- ha
-- % of scene
🌿 Intact Canopy / Biomass
-- ha
-- % of scene
💧 Water / Burn Impervious
-- ha
-- % of scene
📐 Total Scene Footprint
-- km²
600 × 400 (240k px)
Copernicus Sentinel-2 Remote Sensing Reference

Spectral Band Directory & Remote Sensing Verification

The Multi-Spectral Instrument (MSI) aboard Sentinel-2A and 2B samples 13 spectral bands across the optical, near-infrared, and shortwave infrared spectrums. When conducting open-source investigation, select appropriate band combinations based on physical target characteristics:

Band Spectral Designation Central Wavelength Spatial Resolution Primary Investigative Application
Band 2 Blue 490 nm 10 meters Atmospheric scattering, bathymetric water body depth.
Band 3 Green 560 nm 10 meters Vegetation green reflectance peak; NDWI water boundary mapping.
Band 4 Red 665 nm 10 meters Chlorophyll absorption minimum; primary denominator in NDVI.
Band 8 Near-Infrared (NIR) 842 nm 10 meters High plant cell wall reflectance; trench, road, and crater mapping.
Band 8A Narrow NIR 865 nm 20 meters Biomass estimation, vegetation red edge calibration.
Band 11 Shortwave IR (SWIR-1) 1610 nm 20 meters Soil moisture differentiation, cloud-vs-snow segregation.
Band 12 Shortwave IR (SWIR-2) 2190 nm 20 meters Penetration of smoke plumes, artillery burn scars, active wildfires.
Field Handbook & Full Methodology

Multispectral Satellite Analysis for Journalists: Reading Sentinel-2, SWIR Burn Scars, and NDVI

Read our in-depth investigative monograph covering download procedures from Copernicus Browser, QGIS raster clipping, and radar SAR flood mapping.

Read Full Satellite Guide →

Frequently Asked Questions: Satellite Remote Sensing in OSINT

How does NDVI reveal military trench fortifications and vehicle tracks?

Heavy tracked vehicles (tanks, IFVs) crush crop canopies and expose underlying mineral soil. Trench excavators dig down into subsoil layers, completely stripping vegetative biomass. When computed via (NIR - Red) / (NIR + Red), living crops return values between +0.50 and +0.85, whereas crushed tracks and excavated dirt trench parapets drop precipitously to between +0.05 and +0.18, producing an unmistakable linear signature even in low-contrast conditions.

What is the difference between Sentinel-2 and Landsat for verification?

Sentinel-2 (European Space Agency) offers 10-meter resolution across visible and NIR bands with a 5-day revisit rate at the equator. Landsat 8/9 (NASA/USGS) offers 30-meter resolution across reflective bands (with a 15-meter panchromatic sharpening band) and an 8-day constellation revisit rate. For localized building strikes or tactical fortifications, Sentinel-2's 10m pixels provide superior resolution; Landsat offers thermal infrared sensors (TIRS) with calibrated ground temperatures.

Where can researchers download raw multispectral band files?

Free raw L2A (Bottom-of-Atmosphere) and L1C (Top-of-Atmosphere) GeoTIFF or JPEG2000 bands can be exported directly from the Copernicus Sentinel Hub EO Browser, the Copernicus Data Space Ecosystem, and the USGS EarthExplorer.