By Yogesh Jaykumar Kamble (Shivaji University Student)
The Difference Vegetation Index (DVI) is a simple vegetation index that quantifies vegetation presence and density by comparing near-infrared (NIR) and red band reflectance. It’s a straightforward way to assess vegetation presence and density, with higher DVI values indicating more vegetation.
Formula:-
DVI = NIR BAND – RED BAND
It’s Works:-
- Calculating the Difference:-
The DVI formula directly calculates the difference between these two reflectance values.
- Interpreting the Results:-
A higher DVI value suggests a larger difference between NIR reflectance and red reflectance, indicating denser or more healthy vegetation. Conversely, lower DVI values suggest sparse or stressed vegetation.
- Simplicity and Sensitivity:-
DVI is a simple index, making it computationally easy to calculate, but it can be sensitive to variations in soil and atmospheric conditions, according to a paper in IOP Science.
- Comparison to NDVI:-
While DVI is a basic index, it’s less normalized than other indices like the Normalized Difference Vegetation Index (NDVI), which can be more robust to changes in soil and atmospheric conditions, as explained in a paper in IOP Science.
2). MSR (Modified Simple Ratio):-
MSR is a vegetation index used to measure how healthy and green plants are using satellite or drone images. It is an improved version of the Simple Ratio (SR), to vegetation biophysical parameters. It is calculated by taking the ratio of the difference between two spectral bands to their sum.
Formula:
MSR=(NIR/Red)+1(NIR/Red)−1
It’s work:-
- Reflectance Ratios:-
MSR relies on measuring the reflectance of light at different wavelengths from the vegetation canopy. Plants absorb light in the red portion of the spectrum (visible light) and reflect more in the NIR region 9near infrared).
- Simple ratio (SR) Foundation:-
The Simple Ratio (SR) is a basic vegetation index where the reflectance in the NIR is didided by the reflectance in the red band.
- Remote Sensing Applications:-
MSR is commonly used in remote sensing applications, where data from satellite or airborne sensors is used to map vegetation and track its health over time.
- Improved Sensitivity:-
MSR is designed to be more sensitive to changes in vegetation than some other indices, particularly when used in conjunction with other indices like NDVI or RDVI.
3). EV12 (Two-band Enhanced Vegetation Index):-
The two-band Enhanced Vegetation Index (EV12) is a remote sensing technique that estimates vegetation health and biomass using only two spectral bands (NIR and Red). It’s a simplified version of the full EVI, designed for use when a blue band is unavailable, according to a paper on ResearchGate.
Formula:-
EVI2=2.5×(NIR+2.4×RED+1)(NIR−RED)
It’s Work:-
- Band Selection:
EV12 uses reflectance values from the near-infrared (NIR) and red bands.
- Difference Calculation:-
The Difference between the NIR and red reflectance is calculated.
- Normalization:-
The Difference is then divided by the sum of NIR reflectance, 2.4 times the red reflectance, and 1.
- Interpretation:-
Higher EV12 values indicate healthier and more robust vegetation, reflecting greater chlorophyll content and biomass.
Research Contributors:
Yogesh Jaykumar Kamble (Shivaji University Student)
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