Automated Change Intelligence for Any Location on Earth

Know When Something Changes. Before Anyone Else Does.

Ask Klarety to monitor any location on Earth. AI agents detect changes automatically using Sentinel-1 SAR and Sentinel-2 imagery, measure what changed and by how much, and deliver a complete analysis with statistical validation. No manual imagery comparison. No specialist required.

95%+ accuracy on change detectionWorks through clouds and at night via SAR4 to 6 day repeat coverage globallyEvery result statistically validated and cited

Built for your workflows

Monitoring changes across large geographic areas requires manual comparison

01

The Problem

Significant changes happen on the ground every day. Construction advances. Facilities expand. Environmental conditions shift. Crops show stress. Most organizations only find out after the fact, when the window to respond has already closed.

02

The Opportunity

Sentinel-1 SAR and Sentinel-2 optical satellites image every point on Earth on a regular repeat cycle. SAR works through cloud cover and at night. The data exists. The challenge has always been turning it into answers automatically, without requiring a remote sensing team to process every scene.

03

What Klarety Does

You define the location and the question. Klarety agents monitor it continuously. When something changes, they detect it, measure it, explain it, and deliver a complete analysis with before and after imagery, change quantification, statistical confidence intervals, and full methodology. Set it up once. Stay informed automatically.

Automated Change Detection Capabilities

AI-powered satellite monitoring with real-time change intelligence

Automated Change Detection

Continuous monitoring using SAR data to detect urban change, burn area analysis for fire-affected regions, and NDVI differencing for vegetation changes with statistical validation.

Multiple Change Types

Simultaneously monitor forest loss, wildfire damage, urban development, infrastructure changes, and water body modifications through automated satellite processing.

Statistical Confidence

Every change detection includes probability scores, confidence intervals, and correlation with building footprints and population layers for reliable results.

Real-Time Alerts

Set up monitoring for specific areas and receive notifications when satellite data shows statistically significant changes with confidence scoring.

Technical Capabilities

Professional-grade change detection with validated accuracy

Detection Accuracy

95% or higher, validated through high-resolution case studies with confidence intervals included

Satellite Sources

Sentinel-1 SAR (all-weather, night), Sentinel-2 optical (10m), Landsat historical to 1972, MODIS daily

Update Frequency

4 to 6 day global repeat coverage, daily MODIS, SAR available any time regardless of weather

Detection Methods

SAR coherence analysis, NDVI differencing, Burn Area Index, image segmentation, object detection

Change Types

Urban development, deforestation, wildfire damage, infrastructure, water bodies, vegetation, industrial activity

Output Formats

Before and after imagery, difference maps, GeoTIFF, GeoJSON, CSV, full methodology documentation

Change Detection Capabilities

AI-powered satellite monitoring for real-time change intelligence

01
Artificial Intelligence

Any Change Type, Detected Automatically

Agents detect urban construction and building footprint changes, deforestation and land cover transitions, wildfire burn area extent and severity, infrastructure modifications, water body expansion or recession, vegetation stress and crop health shifts, and industrial facility activity changes. You describe what you are monitoring. Agents determine the right detection method and run it.

02
Features

SAR Coverage Through Cloud and Night

Sentinel-1 Synthetic Aperture Radar sees through cloud cover and operates at night. For monitoring in regions with persistent cloud cover, tropical environments, or locations where cloud-free optical imagery is unreliable, SAR provides consistent change intelligence regardless of conditions. Agents select SAR automatically when it is the right tool for your question.

03
Productivity

Quantified Results, Not Just Flags

Change detection is not useful if it only tells you something changed. Every Klarety change analysis tells you what changed, where exactly, how much area was affected, with what statistical confidence, since what date, and what the change looks like visually. Before and after imagery, difference maps, and a narrative explanation of significance are included in every output.

04
Features

Scheduled Monitoring That Runs Without You

Set up any change detection analysis as a recurring automated job. Agents run on your defined cadence, access new satellite imagery as it becomes available, compare against your established baseline, detect any significant changes, and surface results automatically. Monitor competitor facilities weekly. Track construction progress every two weeks. Watch agricultural land every 4 to 6 days. Set it once and stay covered.

ROI Metrics

Proactive monitoring with early warning capabilities

Days, not months

to detect significant changes after they occur

Any location, continuously

monitored automatically on your schedule

Fully validated results

with confidence intervals and methodology documentation

No specialist required

any analyst can set up and receive change monitoring

Customer Success Stories

What professionals are saying about change detection

  • "We now detect infrastructure changes at sites we monitor within days of them occurring. Before, we were finding out weeks later from field reports."
    Dr. Michael HarrisonMonitoring Director, Environmental Intelligence Corp
  • "The 95% accuracy with confidence intervals means we can present change detection findings to our investment committee without hedging. The methodology document does the defending for us."
    Rachel KimSenior Analyst, Infrastructure Monitoring Solutions
  • "We monitor 40 agricultural sites globally every week. Agents run the analysis automatically and flag anything that needs our attention. It would have taken a team of specialists to do what one scheduled job now handles."
    Carlos RiveraOperations Manager, Agricultural Intelligence Group

Frequently Asked Questions

Everything you need to know about Klarety and our satellite analysis platform.

Satellite change detection compares imagery of the same location across different dates to identify and measure physical changes on the ground. Klarety agents do this automatically: they select the right satellite source for the change type (optical for most land changes, SAR for cloud-covered or night-time conditions), process the imagery using the appropriate algorithm (NDVI differencing for vegetation, SAR coherence for structural changes, Burn Area Index for fire damage, and others), quantify the change in area and magnitude, and return a complete output with before and after imagery, difference maps, confidence intervals, and a full methodology document.
Klarety's change detection achieves over 95 percent accuracy, validated through high-resolution case studies. Every result includes statistical confidence intervals so you know how certain the finding is. Where multiple satellite sources are available, agents cross-reference them to corroborate results. All code and methodology are shown so any result can be independently verified.
Urban construction and building footprint changes, deforestation and land cover transitions, wildfire burn area extent and severity, infrastructure modifications (roads, facilities, pipelines), water body expansion or recession, vegetation health shifts and crop stress zones, and industrial facility activity changes. You describe what you want to monitor, agents determine the right detection approach automatically.
Sentinel-2 provides repeat coverage every 4 to 6 days for most of the world. SAR imagery from Sentinel-1 is also available on a similar cadence and works through cloud cover and at night. Most significant physical changes are detectable within one satellite pass after they occur. For scheduled monitoring jobs, agents process new imagery and surface results automatically without any manual trigger.
Yes. Any change detection analysis can be configured as a scheduled cron job. You define the location, the type of change you want to monitor, and the cadence. Agents run automatically, compare new imagery against your baseline, detect and measure any significant changes, and deliver a complete analysis on your schedule. No manual work required after setup.
A complete analysis package: before and after satellite imagery composites, a difference map showing exactly where change occurred, area measurements and magnitude quantification, statistical confidence intervals, the Python code that ran, all data sources cited, and a methodology document explaining every step. All output files are downloadable in GeoTIFF, GeoJSON, and CSV formats.

Start Monitoring Any Location on Earth

Set up automated change detection from a plain-English question. Agents handle the satellite processing, statistical validation, and reporting automatically.