AI-Powered Change Detection for Civil Government

Automated satellite-based change detection for government agencies. Daily 5m coverage for environmental monitoring, deforestation, disaster response, and land useobservation at national scale.

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See What Changed.
Understand Why It Matters.

Demonstrated precision and recall exceeding 85%, giving governmental agencies confidence that what the system flags is real.

Government agencies running change detection on Landsat or Sentinel data know what'spossible and where the limitations are. Revisit gaps mean changes develop unobserved betweenacquisitions. Inconsistent viewing geometry between satellites creates noise that automatedalgorithms interpret as change. Analysts spend time investigating false signals instead ofstudying real ones.

EarthDaily delivers the consistency that makes automated change detection reliable at nationalscale. Daily revisit at 5m resolution, consistent viewing geometry on every pass, and 22calibrated spectral bands processed into AI-ready data. The result: demonstrated precision andrecall exceeding 85%, so the changes your system flags are changes that actually happened.

What the System Detects

AI models identify changes across the landscape and suppress routine environmental variation.
Detection categories include:

Deforestation and land use change.

Forest clearing, agricultural expansion, logging activity,and land conversion detected through daily comparison of vegetation indices and spectralsignatures. An early detection framework uses proximity indicators (distance to roads,waterways, urbanization rate), biophysical indicators (patch density, precipitation, firedetection), and historical loss patterns to flag areas at elevated risk before clearing begins.

Natural hazards and disaster progression.

Wildfire extent and progression tracked throughthermal infrared bands. Flood mapping, drought monitoring, glacier movement, and landslidedetection captured as events unfold rather than assessed after the fact.

Urban expansion and construction.

New structures, settlements, and infrastructure development identified across monitored zones. Historical change analysis tracks incremental growth over time.

Environmental change.

Oil spills, mining activity, industrial discharge, and coastal erosion detected through multispectral analysis across 22 calibrated bands, including signatures invisible to standard optical imagery.

Operational Applications

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Environmental Monitoring.

Automated observation of protected areas, forests, and waterways for change activity. Daily coverage replaces periodic surveys with continuous monitoring that scales across entire national territories.

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Disaster Response.

Real-time tracking of wildfire progression, flood extent, and post-disaster impact assessment. Daily imagery provides the situational awareness needed for resource allocation and response coordination as events develop.

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Land Use Observation.

Monitor land use patterns, development activity, and landscape change across national territories. Track how land is being used and how that usage is shifting over time, providing the observational foundation for planning and policy.

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Infrastructure Monitoring.

Track construction activity, road development, and infrastructure condition across national networks. Identify maintenance priorities through automated comparison against historical baselines.

In Practice:
National Deforestation Monitoring

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Challenge:


A government agency monitoring a large forested territory relies on quarterly aerial surveys and field inspections. Clearing activity progresses between survey cycles, meaning the agency is documenting change after the fact rather than observing it as it happens.

Solution:


EarthDaily provides daily AI-powered monitoring across the entire territory. The system combines vegetation change detection with predictive indicators, flagging areas showing early signs of deforestation risk based on proximity to roads, recent clearing patterns, and historical loss data. When active clearing is detected, the system alerts agency staff within 24 hours.

Outcome:


The agency gains continuous visibility into forest change across its entire territory. Field teams are directed to confirmed locations rather than conducting broad patrols, reducing response time and concentrating limited resources where observation has identified the most significant change. The daily imagery record provides a timestamped observational history of when and how change progressed.

The Right Data for Your Mission

EarthDaily delivers three distinct data products, each optimized for specific operational requirements.
All three are built on the same consistent constellation, share the same geometric precision, and benefit from the same AI-first engineering.

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AiRD:
AI-Ready Data for Automated Analytics

Precise orbit control maintains the same overpass time and viewing geometry daily. When your baseline doesn't shift between acquisitions, AI models distinguish real change from sensor artifacts with confidence. The result: demonstrated precision and recall exceeding 85% over operationally challenging environments.

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Science:
Full Control for Custom Processing

Streamlined 4-band configuration with 8-bit depth, engineered for rapid processing across vast maritime areas. Purpose-built for vessel detection, coastal monitoring, and behavioral analysis at operational scale. Choose Maritime when processing efficiency across millions of square kilometers matters most.

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Science:
Full Control for Custom Processing

10-band top-of-atmosphere data with L1 calibration, including the Coastal band for atmospheric characterization. Built for teams with their own processing pipelines who require maximum spectral information and complete processing control. Choose Science when your team implements proprietary algorithms and needs full-spectrum, unprocessed data.

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Not sure which product fits your requirements?