The normalized difference vegetation index (NDVI) is {{ ndvi.toFixed(4) }}.

Calculation Process:

1. Formula used:

NDVI = (NIR - RED) / (NIR + RED)

2. Substituting values:

NDVI = ({{ nir }} - {{ red }}) / ({{ nir }} + {{ red }})

3. Final result:

NDVI = {{ ndvi.toFixed(4) }}

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NDVI Calculator

Created By: Neo
Reviewed By: Ming
LAST UPDATED: 2025-03-28 15:19:24
TOTAL CALCULATE TIMES: 132
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The Normalized Difference Vegetation Index (NDVI) is a widely used metric in agriculture, ecology, and remote sensing to assess the density and health of vegetation. This guide provides an in-depth understanding of NDVI, its calculation formula, practical examples, FAQs, and interesting facts to help you optimize resource management and improve ecological monitoring.


What is NDVI?

NDVI is a simple yet powerful tool that measures the greenness and density of vegetation over a given area. It leverages satellite imagery to compare the reflectance of near-infrared (NIR) and red light spectra. Higher NDVI values indicate denser, healthier vegetation, while lower values suggest sparse or unhealthy vegetation.

Key Applications:

  • Agriculture: Monitoring crop health and yield prediction.
  • Ecology: Assessing biodiversity and habitat quality.
  • Climate Science: Tracking changes in vegetation due to climate change.
  • Disaster Management: Evaluating vegetation damage after natural disasters.

The NDVI Formula: Unlocking Insights into Vegetation Health

The NDVI formula is as follows:

\[ NDVI = \frac{(NIR - RED)}{(NIR + RED)} \]

Where:

  • \( NIR \): Reflection in the near-infrared spectrum
  • \( RED \): Reflection in the red range of the spectrum

This formula normalizes the difference between NIR and RED, resulting in a value between -1 and 1:

  • Values close to 1 indicate dense, healthy vegetation.
  • Values around 0 suggest bare soil or sparse vegetation.
  • Negative values typically represent non-vegetated surfaces like water or snow.

Practical Calculation Example: Assessing Crop Health

Example Scenario:

You are analyzing a field with the following reflectance values:

  • \( NIR = 0.65 \)
  • \( RED = 0.35 \)

Step 1: Substitute the values into the formula: \[ NDVI = \frac{(0.65 - 0.35)}{(0.65 + 0.35)} = \frac{0.3}{1} = 0.3 \]

Interpretation: An NDVI value of 0.3 suggests moderate vegetation density, which may indicate average crop health or the need for further investigation.


NDVI FAQs: Addressing Common Questions

Q1: What does a high NDVI value mean?

A high NDVI value (close to 1) indicates dense, healthy vegetation. This could signify thriving crops, lush forests, or well-maintained grasslands.

Q2: Can NDVI detect water bodies?

Yes, water bodies typically have negative NDVI values because they absorb most of the red and near-infrared light, resulting in low reflectance.

Q3: How often should NDVI be calculated?

For agricultural purposes, NDVI should be calculated every 7-10 days during the growing season to monitor crop health effectively.


Glossary of NDVI Terms

  • NIR (Near-Infrared): Light wavelengths just beyond visible red, strongly reflected by healthy vegetation.
  • RED (Red Spectrum): Visible red light absorbed by chlorophyll in plants.
  • Satellite Imagery: High-resolution images captured from satellites, used to measure reflectance.
  • Vegetation Density: A measure of how much vegetation covers a given area.

Interesting Facts About NDVI

  1. Global Mapping: NDVI has been used since the 1970s to map vegetation globally, providing critical data for climate studies.
  2. Urban Heat Islands: NDVI helps identify urban areas with low vegetation, contributing to higher temperatures.
  3. Space-Based Solutions: Modern satellites, such as Landsat and Sentinel, provide free NDVI data for researchers worldwide.