🛰️ Satellite Imagery Provider Guide

The "best" provider depends entirely on the mission. You don't use a sniper rifle to clear a room. Similarly, you don't task a VHR satellite for a continental crop assessment.

🔍 Key Variables to Consider

Spatial Resolution

How much detail can you see? (e.g., 30cm vs. 10m)

Temporal Resolution

How often is a new image available? (e.g., daily vs. every 16 days)

Spectral Resolution

How many bands of light are captured? (Crucial for agriculture, mineralogy)

Archive

Is there historical data to build a baseline?

Tasking

Can you request a new image of a specific location on demand?

🆓 Free Satellite Imagery Providers

Open-access data suitable for large-scale or historical analysis, though they often have lower resolutions (10m–30m) and may require technical expertise for processing.

USGS EarthExplorer (Landsat, Sentinel, MODIS)

Resolution: Landsat 8/9 (15m–30m), Sentinel-2 (10m–60m), MODIS (250m–1km)
Coverage: Global, historical archive over 40 years
Spectral Bands: Multispectral (RGB, NIR, thermal)

✅ Pros

Extensive archive, free access, useful for NDVI, land cover, port activity, etc.

❌ Cons

Complex for beginners, medium resolution only, no analytics tools built-in.

🎯 Use Case Fit

Great for crop health and historical trends. Not for high-res tasks like car counting.

Copernicus Open Access Hub / Sentinel Hub (Sentinel-1, Sentinel-2)

Resolution: Sentinel-2 (10m–60m multispectral), Sentinel-1 (5m–20m SAR)
Coverage: Global, frequent updates (every 5 days for Sentinel-2)
Spectral Bands: Multispectral and SAR

✅ Pros

Free multispectral and SAR data, easy-to-use visualization tools (EO Browser, Sentinel Playground).

❌ Cons

Not suitable for high-res tasks like car counting (resolution 10m+).

🎯 Use Case Fit

Crop health (NDVI), ship detection, and oil inventory analysis (SAR shadow).

NASA Earthdata Search

Resolution: Landsat (15m–30m), MODIS (250m–1km), ASTER (15m–90m)
Coverage: Global with large historical archive
Spectral Bands: Multispectral, thermal, hyperspectral (Hyperion)

✅ Pros

Free, research-grade archive ideal for crop and environmental trends.

❌ Cons

Requires GIS skills, not beginner-friendly, limited built-in visualization.

🎯 Use Case Fit

Great for long-term crop and environmental trend analysis.

🌐 Access

earthdata.nasa.gov

EOSDA LandViewer

Resolution: Sentinel-2 (10m–60m), Landsat 8 (15m–30m), CBERS-4 (20m–80m)
Coverage: Global, includes analytics and time series
Spectral Bands: Multispectral with vegetation indices (NDVI, SAVI)

✅ Pros

User-friendly interface, built-in NDVI tools, free preview of high-res imagery.

❌ Cons

Free imagery limited to medium resolution. High-res requires purchase.

🎯 Use Case Fit

Crop health and stockpile monitoring with analytics.

🌐 Access

landviewer.eos.com

ISRO Bhuvan

Resolution: ResourceSat-2A (5.8m), Cartosat (1m–2.5m in India)
Coverage: Primarily India
Spectral Bands: Multispectral, panchromatic

✅ Pros

Higher resolution than Sentinel-2 in India, browser access, no login needed.

❌ Cons

India-focused, limited international coverage.

🎯 Use Case Fit

Retail and construction tracking in India due to resolution advantage.

🌐 Access

bhuvan.nrsc.gov.in

💰 Paid Satellite Imagery Providers

Very high-resolution (VHR) imagery (0.3m–5m) and tasking capabilities, ideal for detailed analysis like car counting or construction progress tracking.

Maxar Technologies

Resolution: 0.3m–0.5m (WorldView, GeoEye), 1.2m (Vivid mosaics)
Coverage: Global, with extensive historical archive and tasking options
Spectral Bands: Panchromatic, multispectral

✅ Pros

Industry-leading resolution, frequent updates, extensive archive, tasking available.

❌ Cons

Expensive, licensing complexity, requires technical expertise.

🎯 Use Case Fit

Perfect for car counting, construction tracking, stockpile monitoring, oil inventory.

Airbus Defence and Space

Resolution: SPOT (1.5m), Pleiades (0.5m), TerraSAR-X (0.25m–3m SAR)
Coverage: Global, with historical archive and tasking
Spectral Bands: Multispectral, SAR

✅ Pros

High-resolution optical and radar, strong SAR imagery for oil and port analysis.

❌ Cons

Costly, complex order process, limited free samples.

🎯 Use Case Fit

Port monitoring, oil tank analysis (SAR), car counting with Pleiades.

🌐 Access

airbus.com

Planet Labs

Resolution: PlanetScope (3m–5m), SkySat (0.5m)
Coverage: Global, daily updates, tasking with SkySat
Spectral Bands: Multispectral

✅ Pros

High temporal frequency, great for change detection, daily coverage.

❌ Cons

SkySat costly, PlanetScope too low-res for car counting.

🎯 Use Case Fit

Construction tracking and port activity monitoring. SkySat for car counting.

🌐 Access

planet.com

BlackSky

Resolution: 0.5m–1m
Coverage: Global, rapid revisit, tasking (delivery in 90 minutes)
Spectral Bands: Panchromatic, multispectral

✅ Pros

Near-real-time tasking, suitable for urgent monitoring needs.

❌ Cons

Smaller archive, higher costs than open providers.

🎯 Use Case Fit

Time-sensitive car counting, port monitoring, construction tracking.

🌐 Access

blacksky.com

European Space Imaging (EUSI)

Resolution: 0.3m–0.5m (via Maxar sensors)
Coverage: Global, delivery within 15 minutes of collection
Spectral Bands: Panchromatic, multispectral

✅ Pros

Very high resolution, rapid tasking and delivery, detailed imagery.

❌ Cons

Premium pricing, requires technical handling for analysis.

🎯 Use Case Fit

Car counting, construction change detection, stockpile measurement.

🌐 Access

euspaceimaging.com

🎯 Recommendations for Your System

🚗 Retail & Consumer (Car Counting)

💰 Paid Options

Maxar, Airbus Pleiades, EUSI, BlackSky for VHR imagery. SkySat for budget-sensitive scenarios.

🆓 Free Options

ISRO ResourceSat-2A (5.8m) for Indian regions. Sentinel-2 (10m) too coarse for accurate counting.

🔍 Why

Sub-meter resolution is required for accurate car counting in parking lots and retail zones.

🏭 Commodities (Oil Inventory, Port Activity, Crop Health, Stockpiles)

💰 Paid Options

Maxar and Airbus (SAR + optical) for oil tanks and ports. PlanetScope for frequent crop monitoring.

🆓 Free Options

Sentinel-1 SAR for oil and ports. Sentinel-2 and Landsat for NDVI and stockpile analytics.

🔍 Why

SAR detects shadowing (tank fill levels), multispectral data calculates vegetation indices like NDVI.

🏗️ Industrials & Real Estate (Construction Progress)

💰 Paid Options

Maxar, EUSI, BlackSky for VHR image updates. Planet SkySat for near-daily change tracking.

🆓 Free Options

Sentinel-2 and Landsat for observing broader construction zones, limited spatial detail.

🔍 Why

Frequent VHR data enables precise monitoring of construction site progress and material movement.

🌟 Final Recommendation

For a robust system:

For pricing details, contact paid providers directly (e.g., maxar.com, airbus.com) or check resellers like apollomapping.com. For free data, start with Sentinel Hub (sentinel-hub.com) or USGS EarthExplorer (earthexplorer.usgs.gov). If your project focuses on India, ISRO Bhuvan is a strong free option.