EarthDaily Constellation
Daily. Global. Science-grade. The EarthDaily Constellation delivers the continuous baseline that turns raw sensing into persistent decision advantage without tasking, without normalization delays, and without gaps in coverage.
The EarthDaily Constellation provides the continuous, science-grade daily imaging layer that makes AI-ready Earth intelligence possible at global scale every day, without exception.
Daily
Global coverage
Every location, every 24 hours
22
Spectral bands
Visible through thermal infrared
5M
Enhanced resolution
Processed output
<12h
Data latency
Collection to delivery
AI-ready by architecture
Analysis-Ready Data (ARD) ships pre-processed: radiometrically calibrated, geometrically corrected, atmospherically normalized. Your AI pipelines receive consistent data the moment collection completes.
Non-tasking architecture
Data flows continuously. No collection requests. No prioritization queues. Every location captured every day whether you asked for it or not.
Cross-calibrated to NASA/ESA
Geometric and radiometric accuracy at science-grade standards. Interoperable with Sentinel-2 and Landsat data for seamless integration.
Compounding archive
Every day of collection builds on the last. The baseline you start today becomes the non-replicable advantage you have tomorrow.
Traditional EO data requires normalization, calibration, and preprocessing before it can feed AI models. EarthDaily ships Analysis-Ready Data eliminating the bottleneck by design.
Traditional EO pipeline
1. Raw sensor data collected
2. Radiometric correction (manual)
3. Geometric correction (manual)
4. Atmospheric correction
5. Normalization for consistency
6. Finally ready for AI/ML input
Result: Hours to days of prep before analysis can begin.
EarthDaily Constellation AiRD
✓ Pre-processed at source
✓ Radiometrically calibrated
✓ Geometrically corrected
✓ Atmospherically normalized
✓ Consistent daily imaging geometry
✓ AI/ML-ready on delivery
Result: Immediate input to AI pipelines. No preprocessing delay.
The Constellation monitors every military installation globally, every day, at the same time and same geometry, enabling true change comparison.
Baseline established
Full vehicle complement present. 11 VNIR spectral bands establish spectral fingerprints for each vehicle class.
Daily monitoring, no change
Object-change algorithm runs. Ground vehicle count within normal variance. No alert triggered.
Significant change detected
30% reduction in ground vehicles detected. Aircraft count stable. Event fires immediately to analyst.
Outcome: 30% Vehicle deployment detected automatically
Analyst notified before adversary activity reaches operational tempo.
The Constellation doesn't replace high-resolution collection. It tells you precisely where to point it. Daily 3.5m detects the anomaly. VHR confirms it.
Daily pass (5M)
Full global coverage. Change detection algorithms run continuously across all monitored areas.
Change detected + tip fires
Automated algorithm flags significant deviation. Deep learning confirms the anomaly is worthy of closer inspection.
VHR cued (30–50cm)
High-resolution sensor tasked to the exact area. Analyst receives confirmation-grade imagery.
Just imagine this applied to trench construction, remote airstrip detection, glacier collapse early warning, or wildfire perimeter mapping.
Week 1
Technical briefing: constellation specs, ARD architecture, and your priority AOIs.
Week 2
Sample data delivery in your region of interest, your spectral requirements.
Week 3
Integration assessment: your existing pipelines, ML tools, and data consumers.
Week 4
Pilot program scoped: defined AOIs, delivery cadence, contract vehicle identified.
UEI: DDKNNXU7BYW4 · CAGE Code: 97JZ8 · NAICS: 518210, 541330, 541370, 541511, 541512, 541990
CMMC Level 1 Certified | Level 2 In Progress · Hello@earthdailyfederal.com · Request Capabilities Statement
UEI: DDKNNXU7BYW4
CAGE Code: 97JZ8
NAICS: 518210, 541330, 541370, 541511, 541512, 541990
Vehicles: GSA Schedule, OTA, Direct Contract
Cloud-native APIs — no on-premise infrastructure required
Plug-and-play compatibility with existing ML pipelines
Interoperable with Sentinel-2 and Landsat data
STAC-compliant catalog for data discovery
Data fusion: combine with SAR, AIS, SIGINT layers