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AiRD:
Power Planetary-Scale Change Detection with AI-Ready Data

AiRD delivers analysis-ready Earth Observation data engineered from day one for machine learning—eliminating the preprocessing bottleneck that consumes 60–80% of engineering budgets. Move from months of data wrangling to immediate model deployment—with plug-and-play imagery that feeds directly into your AI pipelines.

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The Complete AI-Ready Data Solution

Purpose-built for product teams, data scientists, and analytics providers, AiRD provides the consistent, calibrated imagery needed to build scalable change detection solutions without specialized preprocessing teams. No remote sensing expertise required.

  • AI-First Architecture

    AiRD is the first commercially-available Earth Observation data engineered specifically for AI/ML workloads—not repurposed human-eye imagery. Our radiometrically consistent, atmospherically corrected data trains faster, generalizes globally, and stays accurate in production where competitors' data fails.

  • State-of-the-Art Cloud Masking

    Best-in-class detection of cloud, shadow, and haze enables tropical and maritime models to finally work in production. Stop discarding data and delaying insights. AiRD's advanced atmospheric masking delivers reliable coverage even in persistently cloudy regions.

  • Built on the EarthDaily Constellation

    Powered by the EarthDaily Constellation, AiRD delivers daily global revisit with market-leading signal-to-noise ratio and geometric fidelity guaranteed by SLA. Ten years of imaging continuity ensures your models remain stable and deploy

Why Choose AiRD for AI/ML Workflows

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Zero Preprocessing Required:
AiRD arrives atmospherically corrected, geometrically aligned, and radiometrically consistent—ready to feed directly into your ML pipelines. Reclaim 60–80% of engineering budgets currently lost to data cleaning and normalization.

Deploy production models in weeks instead of months, and redirect your remote sensing specialists toward high-value algorithm development instead of data wrangling.

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Sentinel-2 and Landsat Compatible:

True interoperability with legacy science missions means your existing algorithms work seamlessly with AiRD. No model retraining required—leverage decades of scientific datasets alongside daily AiRD imagery for robust change detection.

Protect your existing IP investment while gaining daily revisit, eliminating the false choice between proven methods and modern coverage.

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Geometric Precision Guaranteed:

Geometric Precision Guaranteed: Sub-pixel co-registration backed by SLA ensures your change detection algorithms detect real changes, not registration artifacts. Consistent look angles eliminate parallax-induced false positives. Stop wasting analyst time chasing phantom alerts and build customer trust with detection systems that flag what matters.

Core Capabilities
From Raw Pixels to Production-Ready Intelligence

AiRD's processing pipeline combines rigorous radiometric calibration with advanced AI-driven quality control to deliver imagery optimized for machine learning at planetary scale.

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Radiometric Consistency

Continuous physics-informed calibration maintains consistency across the constellation and over time, enabling long-term change detection without baseline drift. More stable baselines mean more reliable insights.

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Atmospheric Correction

Advanced L2A processing reduces atmospheric interference, aerosols, and water vapor artifacts to deliver true surface reflectance optimized for quantitative analysis and automated change detection.
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Geometric Correction

Precise orthorectification and sub-pixel co-registration ensures pixel-perfect alignment across time-series data, critical for detecting subtle changes in infrastructure, vegetation, and land use.
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Cloud and Shadow Detection

State-of-the-art ML-driven cloud masking detects thin clouds, cloud shadows, and haze that degrade downstream analytics. Cloud-free mosaic composites available for gap-free analysis.
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Quality Assurance Layer

Comprehensive quality bands accompany every scene, flagging atmospheric conditions and coverage gaps, enabling automated filtering in production ML pipelines.

Coverage & Availability

Spectral Bands

Visible

Coastal
Blue
Aqua
Green
Yellow

Near Infrared

Red
Red Edge 1
Red Edge 2
Red Edge 3
Near Infrared

Shortwave Infrared

Water Vapour 1
Water Vapour 2
SWIR 1
Cirrus
SWIR 2
Methane 1
Methane 2

Thermal Infrared

Wildfire
TIR 1
TIR 2
TIR 3
TIR 4

AiRD Features & Capabilities
Explore More. Discover Faster. Spend Less.

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5-Meter Ground Sample Distance

Optimal resolution for planetary-scale change detection—detailed enough to identify individual structures and field boundaries, efficient enough to process globally

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9-Band Multispectral Imaging:

Blue, Green, Aqua, Yellow, Red, RedEdge-1, RedEdge-2, RedEdge-3, and NIR bands capture the spectral signatures critical for vegetation health, water quality, and material classification

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16-Bit Radiometric Depth:

High dynamic range preserves subtle spectral variations essential for quantitative analysis and automated feature extraction

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L2A Surface Reflectance:
Atmospherically corrected bottom-of-atmosphere reflectance ready for immediate use in indices, models, and analytics
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Scalable Global Analysis:
Process extensive areas on-the-fly with direct STAC API integration.
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Best-in-Class Cloud Mask Accuracy:
State-of-the-art ML-based detection distinguishes clouds, shadows, and haze to maximize usable data in every acquisition
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Sub-Pixel Geometric Accuracy:
Sub-pixel geometric accuracy, SLA-guaranteed, enables confident change detection across time series.
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240km Swath Width:
Wide-area coverage minimizes scene boundaries and mosaic artifacts for seamless regional analysis

FAQs

AiRD provides near-global coverage of all land masses and maritime regions. The EarthDaily Constellation's 10 satellites image approximately 90% of Earth's surface daily at consistent time and viewing angle—no tasking required.
AiRD's ML-driven cloud masking delivers best-in-class accuracy, detecting not only dense clouds but also thin cirrus, cloud shadows, and haze that degrade downstream analytics. This industry-leading performance enables reliable analysis even in persistently cloudy regions like the tropics and maritime environments.
AiRD was engineered from day one for AI/ML workloads—not repurposed imagery optimized for human interpretation. Three key differences: (1) radiometric consistency across satellites and time for stable model baselines, (2) true Sentinel-2/Landsat interoperability so existing algorithms work without retraining, and (3) plug-and-play delivery requiring zero preprocessing, reclaiming 60–80% of engineering budgets.
Yes. AiRD is calibrated to match the quality of leading government Earth observation missions, ensuring your models are built on data you can trust. Cloud Optimized GeoTIFFs with STAC metadata enable direct integration with standard geospatial tooling, the earthdaily-python-client provides native Python access with xarray and geopandas support, and RESTful APIs support custom application development across QGIS, ArcGIS, and enterprise GIS platforms.
Yes. AiRD is designed for true interoperability with legacy scientific missions. Spectral bands are calibrated to match Sentinel-2 and Landsat specifications, allowing your existing algorithms and models to work seamlessly with AiRD data. This enables fusion of decades of historical science data with daily AiRD acquisitions for robust change detection and trend analysis.
The EarthDaily Constellation delivers near-daily imaging for most of the world, with daily coverage at higher latitudes and consistent revisit across all covered areas. Every scene is captured at consistent local solar time and nadir viewing angle, ensuring temporal consistency that eliminates false positives from illumination and parallax variations.
AiRD's best-in-class cloud mask accuracy maximizes usable data in every acquisition, while daily revisit frequency ensures cloud-free observations accumulate rapidly even in challenging regions. Cloud-free mosaic composites are available for applications requiring gap-free baselines, aggregating the clearest observations across temporal windows.
AiRD is available through flexible subscription models designed to scale with your needs. Contact EarthDaily Analytics to discuss area-based subscriptions, enterprise agreements, and evaluation access to sample data.
AiRD includes access to an expanding historical archive for baseline development and model training. Additionally, AiRD's interoperability with Sentinel-2 and Landsat means you can train on decades of historical science data and deploy on daily AiRD imagery with minimal adaptation.

Experience AI-Ready Earth Observation Data

Transform your AI/ML capabilities with data engineered for machine learning from day one.
Discover how AiRD eliminates preprocessing bottlenecks and accelerates your path from imagery to insight:

  • Access sample data through EarthPlatform to evaluate quality and integration
  • Explore spectral coverage across your application's critical wavelengths
  • Test API integration with the earthdaily-python-client and your existing workflows
  • Configure coverage tailored to your areas of operational interest