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What is one technical challenge for camera-based wildfire detection?

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  1. What is one technical challenge for camera-based wildfire detection?
    • Distinguishing smoke from look-alikes such as fog, dust or clouds
    • Guaranteeing that every alert is a real fire
    • Determining legal liability for a utility
    • Predicting the exact path of every wildfire
  2. What information does NOAA’s GOES-R Fire/Hot Spot Characterization product provide?
    • A forecast of the exact evacuation route
    • Fire location and sub-pixel characteristics such as temperature, size and radiative power
    • A guarantee that a new fire is contained
    • An automatic liability judgment for utilities
  3. Je, satelaiti za hali ya hewa kama NOAA's GOES hugundua vipi moto unaowaka?
    • Kwa kusikiliza sauti zinazopasuka
    • Kwa kupima kasi ya upepo pekee
    • Kwa kuhisi hitilafu za joto la infrared
    • Kwa kuhesabu miti
  4. Why can earlier wildfire detection help response teams?
    • It guarantees the fire will not spread
    • It makes satellite sensors unnecessary
    • It prevents weather from affecting fire behavior
    • It can give crews more opportunity to respond while a fire is still small
  5. Je, miundo ya muda huboresha vipi imani ya utambuzi?
    • Kwa kulinganisha fremu zinazofuatana ili manyoya yanayopeperuka, yanayokua yatokee ukungu tuli
    • Kwa kupuuza picha zote zilizopita
    • Kwa kufuta mlisho wa kamera
    • Kwa kuangalia mara moja tu kwa wiki
  6. Je, madhumuni ya makundi mapya kama vile Google's FireSat ni nini?
    • Ili kuchukua nafasi ya wazima moto wote
    • Ili kupata picha karibu kila sehemu ya Dunia mara kwa mara na kugundua moto mdogo sana
    • Kutangaza televisheni
    • Kupanga mikondo ya bahari pekee
  7. Which satellite measurements does the GOES-R fire and hot-spot product use?
    • Only microphone recordings from ground stations
    • Radar measurements of tree height alone
    • Visible and infrared ABI spectral bands
    • Ultraviolet images of cloud tops only
  8. Why do camera-based wildfire alert systems pair model output with human verification?
    • Human review is needed because cameras cannot capture images
    • Smoke models can identify the exact cause of every ignition
    • Verification makes the camera network independent of weather
    • Look-alikes such as fog, dust, and clouds can create false alerts