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Operations · Advanced

# Autonomous wildfire incident detection and tracking

Monitor thermal satellite detections and weather forecasts to assess emerging fire risks

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Opens BotBento. Paste the prompt into a bot; nothing is preconfigured.

- On a scheduleCheck satellite feeds hourly
- ThenAnalyze weather and terrain data
- ResultDraft incident report for review

Continuously scan satellite hotspot detections and correlate new signals against wind, humidity, terrain fuel models, and nearby settlements. The bot evaluates weak signals, filters out industrial heat signatures, and prepares structured incident assessments for emergency operators.

## Prompt to start with

BotBentoRecommended

```
Query satellite thermal feeds and spatial databases every hour. When a new cluster of thermal anomalies appears, pull local elevation, fuel model indices, and real-time wind forecasts using the browser. Synthesize the data into an incident assessment with a severity score. Store the analysis in the database, but ask for user confirmation before posting notifications or alerts to Slack.
```

Copy

## Tools it uses

BrowserDatabaseSlack

## Works with

BotBento

## Tags

- wildfire
- monitoring
- gis
- weather
- emergency

## Source

[Show HN: Signet – Autonomous wildfire tracking from satellite and weather data](https://news.ycombinator.com/item?id=47386581)
Hacker News · checked 2026-10-16

Summarized in our own words. Any results described there are the authors’ own, not measured by BotBento.

By BotBento Editorial · Added 2026-10-16 · Updated 2026-10-16 · [Suggest a correction](/contact/)

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