Detect solar-site expansions
Bare-to-developed transitions near known plant coordinates flag capacity additions for monitoring.
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Illustrative solar and atmospheric imageryUAE ENVIRONMENTAL CHANGE FEED
Consistent land-cover change candidates — with evidence, not just flags.
Timestamped imagery pairs, spectral change scores, cover-class transitions and review status for UAE cells. Supports solar-site monitoring, dust source tracking and urban-growth analysis without manufacturing conclusions from uncertain signals.
AVAILABLE · GET ENDPOINTSee how it works ↓
THE DECISION IT SUPPORTS
Which areas in the UAE have changed — and what kind of change is it?
The feed returns automatically detected change candidates ranked by confidence. Each candidate records the pre/post imagery pair, change class, magnitude and review status. Human reviewers use the queue to confirm or dismiss candidates before results reach downstream applications.
Built for
- Environmental monitoring agencies
- Solar site development teams
- Urban planning and land administration
- Dust source research teams
WHY TEAMS USE IT
Turn broad data into a clearer next step.
Each result is designed to narrow a decision, show the inputs behind it, and surface what must still be checked locally.
Track active dust emission zones
dust_source_active candidates correspond to areas of persistent aerosol generation.
Monitor urban expansion boundaries
Bare-to-urban candidates flag fringe development for planning review.
Maintain a reviewed change record
Review status (pending/reviewed/dismissed) creates an auditable change history.
FROM REGION TO SITE
See where each signal fits.
Images illustrate the operational setting. They are not live observations; use source timestamps and local measurements for decisions.
CHANGE DETECTIONSpectral comparison between two dates
Normalised change score highlights areas for human review.
LAND COVER CLASSTrack bare-to-developed and dust-source transitions
Change class supports solar-site monitoring and dust emission tracking.
REVIEW QUEUEHuman sign-off before publication
Candidates stay in 'pending' until reviewed against ground records.
THE INFORMATION STACK
What goes in—and what it helps explain.
Availability is stated for every input. Missing site telemetry, irradiance readings, or atmospheric observations are identified rather than inferred.
INFORMATIONSOURCEHOW IT IS USEDSTATUS
01change_classQuery parameterFilter by change type (bare_to_developed, dust_source_active, etc.).OPTIONAL
02confidence_min (0–1)Query parameterReturn only candidates above confidence threshold.OPTIONAL — default 0
03limit (1–100)Query parameterMax candidates returned.OPTIONAL — default 20
A PRACTICAL WORKFLOW
From input to reviewable decision.
The workflow keeps model context, field evidence and human approval in their proper places.
- 01
Call GET with class and confidence filters
Filter by change_class=bare_to_developed and confidence_min=0.7 for solar context.
- 02
Review the candidate queue
Inspect t1/t2 imagery pairs and change_magnitude for each candidate.
- 03
Confirm or dismiss via ground check
Update review_status to "reviewed" after field or archive validation.
- 04
Integrate into monitoring dashboards
Feed confirmed candidates to asset-management and environmental-reporting tools.
- 05
Track dust emission zone evolution
Monitor dust_source_active candidates over time to correlate with AOD and plant generation data.
HOW INFORMATION BECOMES USEFUL
Examples of decisions it can inform.
These are screening patterns, not automatic instructions. Operational thresholds and local advisories remain authoritative.
New bare_to_developed candidate near a planned plant
- Signal
- High confidence (> 0.85) change in the planning footprint.
- Useful action
- Verify against planning approvals and satellite imagery.
- Check before acting
- Spectral change could be construction, not operational capacity.
dust_source_active candidate upwind of a solar plant
- Signal
- AOD correlation with plant generation loss.
- Useful action
- Include in error attribution. Consider forecast bias correction.
- Check before acting
- Dust sources are dynamic — validate candidate periodically.
Low-confidence vegetation_to_bare candidate
- Signal
- confidence < 0.7 near an irrigation scheme.
- Useful action
- Hold in pending. Request ground check before publishing.
- Check before acting
- Seasonal phenology and irrigation cycles can mimic land-cover change.
FOR PRODUCT TEAMS
A transparent API contract.
The response exposes gaps and limitations so an application can explain confidence instead of hiding it.
/api/v1/environmental-change/uae/candidatesExample request
GET /api/v1/environmental-change/uae/candidates
?change_class=bare_to_developed
&confidence_min=0.75
&limit=10decision responseExample response
{
"candidate_count": 2,
"candidates": [{
"candidate_id": "UAE-C001",
"label": "Al Dhafra solar park expansion",
"change_class": "bare_to_developed",
"change_magnitude": 0.82,
"confidence": 0.91,
"review_status": "pending"
}]
}CAPABILITY BOUNDARIES
Useful now. Honest about what comes next.
Supported now
- Change class filtering
- Confidence threshold filter
- Paginated candidate list
- Cover-class transition metadata
- Review status tracking (pending/reviewed/dismissed)
- Imagery timestamp pairs
Additional data required
- High-resolution optical imagery for confirmation
- Planning permission and land-registry data
- Ground surveys for change validation
- Calibrated AOD product for dust-source correlation
BUILD RESPONSIBLY
Use the result to focus attention—not replace field judgment.
Pair AtmosGrid’s regional weather context with local irradiance sensors, site telemetry and operator review.