Observe
Collect current climate and vegetation signals from spatial datasets.
CFP Anomaly Tracker
A live spatial research system tracking climate, vegetation, smoke, and water-quality anomalies across the California Floristic Province.
The Problem
An anomaly is only as meaningful as the baseline it disturbs.
Climate and vegetation conditions are not meaningful as isolated values. They become interpretable only when measured against a baseline specific enough to preserve seasonality, geography, historical variability, and sensor context.
Climate and vegetation conditions are not meaningful as isolated values. They become interpretable only when measured against a baseline specific enough to preserve seasonality, geography, historical variability, and sensor context.
The Solution & Methodology
A live environmental interface.
The CFP Anomaly Tracker automates environmental anomaly detection. It treats the California Floristic Province as a live interface, comparing current spatial conditions against seasonal and historical expectations.
Baseline
Compare current conditions against expected seasonal and historical ranges.
Detect
Isolate areas where vegetation, moisture, heat, or drought indicators statistically diverge from the baseline.
Analytical Limits
A screening system, not a causal determination.
The tracker identifies departures from historical baselines but requires human context to determine regulatory significance.
The system architecture explicitly accounts for uncertainty, including sensor limits, cloud contamination, temporal mismatch, and baseline-window choices.
It should be read as a screening and interpretation system, not a final regulatory or causal determination.