Date comparison
Align observations from selected periods and screen for differences.
What it covers
Change Detection capabilities
Change localization
Show where a signal changed within the area of interest.
Context summary
Relate the detected pattern to weather, season, and known activities.
Workflow
How it fits into operations
- 01
Frame the question
Choose a field, period, operational decision, and available evidence.
- 02
Assemble context
Bring together permitted imagery, indices, weather, water, and activity records.
- 03
Interpret
Generate a structured explanation, uncertainty, and proposed follow-up checks.
- 04
Review
Apply human and domain judgment before acting on a recommendation.
OutputsWhat teams can take forward
Change map
Candidate areas and magnitude of observed difference.
Review prompts
Questions and field checks that help validate the result.
Interpretation and limitations
LAWA outputs are model-assisted interpretations, not guaranteed diagnoses, forecasts, or professional advice.
- Recommendations are only as reliable as the input data, assumptions, and model fit.
- Confidence and missing context should remain visible to the reviewer.
- High-impact decisions need qualified human review and field verification.
Put land intelligence to work
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