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Question

Among the following sensors, which are the most efficient for detecting forest fire ?
A. Optical Sensor
B. Thermal Infrared Sensor
C. Microwave Sensor
D. Smoke Detector Sensor
E. Ultrasonic Sensor
Choose the correct answer from the options given below :
 

The correct answer is
B and D only

Sensor Efficiency for Forest Fire Detection

The question asks to identify the most efficient sensors for detecting forest fires from the given options. Efficiency in this context refers to early detection capabilities and reliability in forest environments.

Evaluating Forest Fire Sensors

  • Thermal Infrared Sensors (B): These sensors detect heat signatures emitted by fires. They are highly effective because fires produce significant heat, and these sensors can operate day and night, even through moderate smoke or haze, providing crucial early warnings.
  • Smoke Detector Sensors (D): These sensors identify the presence of smoke particles, which are often among the first visible signs of a combustion event. Their sensitivity to smoke makes them excellent for early forest fire detection, especially before flames become large or easily visible from a distance.
  • Optical Sensors (A): While optical sensors can detect flames (visible light), their effectiveness can be limited by factors like smoke, fog, distance, and vegetation cover, potentially delaying detection compared to thermal or smoke sensors.
  • Microwave Sensors (C): These sensors can penetrate atmospheric conditions like clouds and smoke but are generally used for broader environmental monitoring (e.g., soil moisture, sea surface) and are less commonly deployed for direct, high-resolution forest fire detection compared to thermal or smoke-based systems.
  • Ultrasonic Sensors (E): These sensors detect sound waves. They are not suitable for detecting the physical or thermal characteristics of a fire and are therefore inefficient for this purpose.

Conclusion on Sensor Combination

Combining Thermal Infrared Sensors (B) for heat detection and Smoke Detector Sensors (D) for particle detection provides a robust and efficient system for early and reliable forest fire detection. These two types of sensors address different primary indicators of a fire (heat and smoke) and complement each other effectively in challenging forest environments.

The correct option includes sensors B and D.

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Important Questions from Remote Sensing

  1. Which of the following are major applications of Remote Sensing and GIS in disaster management ?
    A. Real time flood monitoring
    B. Hazard Zonation mapping
    C. Post disaster damage assessment
    D. Earthquake prediction with precise timing
    Choose the correct answer from the options given below :
  2. List-I with List-II:
    List-I
    (Types of resolution)
    List-II
    (Description)
    A. Spatial ResolutionI. Number of independent channels
    B. Temporal ResolutionII. Sensitivity of the detectors
    C. Spectral ResolutionIII. Frequency of measurement
    D. Radiometric ResolutionIV. Smaller spatial measurement

    Choose the correct answer from the options given below :
  3. Match List - I with List - II.
    List - I ResolutionList - II Capabilities
    A. Spatial ResolutionI. Narrowness of the spectral bands
    B. Spectral ResolutionII. Variations in brightness
    C. Radiometric ResolutionIII. Revist capability
    D. Temporal ResolutionIV. Size of the pixel

    Choose the correct answer from the options given below :
  4. Given below are two statements: one is labelled as Assertion (A) and the other is labelled as Reason (R).
    Assertion (A): A variety of Remote Sensing methods can be used to detect, monitor and respond to natural disaster as well as to assess disaster vulnerability.
    Reason (R): Tonal values are important because they often form distinct image patterns that may be of great significance in image interpretation.
    In the light of the above statements, choose the most appropriate answer from the options given below:
  5. The operations aim to correct distorted and degraded image data to create a more faithful representation of the original Earth features during disaster is known as:
     

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