The question asks to identify the incorrect statement regarding the Normalized Difference Vegetation Index (NDVI).
NDVI is a widely used indicator in remote sensing to assess vegetation health and density. It is calculated using the reflectance values in the near-infrared (NIR) and red (Red) portions of the electromagnetic spectrum.
The formula for NDVI is:
$ \text{NDVI} = \frac{(\text{NIR} - \text{Red})}{(\text{NIR} + \text{Red})} $
Healthy vegetation strongly reflects NIR light and absorbs Red light during photosynthesis. This characteristic difference is key to interpreting NDVI values.
This statement is correct. As vegetation cover increases, both biomass and NDVI values generally increase.
This statement is incorrect. Healthy, dense vegetation reflects NIR light strongly and absorbs Red light. Therefore, a greater difference, specifically (NIR - Red) being a large positive number, indicates *more* vegetation, not less. Bare soil or sparse vegetation typically shows smaller differences.
This statement is correct. Bare soil generally has similar reflectance in both the NIR and Red bands. This results in the numerator (NIR - Red) being close to zero, leading to an NDVI value near 0.
This statement is correct. The highest NDVI values (typically ranging from 0.6 to 0.9) correspond to areas with dense, healthy green vegetation, due to the strong contrast between high NIR reflectance and low Red reflectance.
Based on the analysis, the statement claiming that a greater difference between near-infrared and red reflectance indicates less vegetation is factually incorrect according to NDVI principles.
A map is prepared on 1:50,000 scale. How many cm on the map represents 1.0 km on the ground?
Which one of the following pairs helps to distinguish between different types of rocks and soils?