Which of the following types of radiation would be most effective in detecting vegetation through satellite-based sensors?

Correct option is C

Role of Infra-Red in Vegetation Detection:
· Infra-red radiation, especially near-infrared (NIR), is widely used in remote sensing to detect vegetation.
· Healthy vegetation reflects a large portion of NIR due to the internal structure of leaves and their chlorophyll content.
Normalized Difference Vegetation Index (NDVI):
· NDVI is a commonly used index to assess vegetation health using the reflectance of red and NIR light.
Formula

· Higher NDVI values indicate healthier vegetation.
Why Other Options Are Incorrect:
(a) UV: Not effective for vegetation detection; primarily used for studying ozone or solar radiation effects.
(b) Yellow: Visible light wavelengths like yellow are not strongly reflected by vegetation.
(d) Violet: Similar to UV, violet light does not provide significant information for vegetation mapping.
Information Booster: 1. Applications of Infra-Red Remote Sensing:
· Assessing crop health and growth patterns.
· Monitoring deforestation and land degradation.
2. Vegetation Reflectance:
· Healthy vegetation reflects NIR and absorbs visible red and blue light for photosynthesis.
3. Satellite Sensors:
· Examples: Landsat, MODIS, and Sentinel-2, equipped with NIR bands for vegetation analysis.