A mind map explaining the Normalised Difference Vegetation Index (NDVI), its formula, interpretation, key applications in environmental monitoring and agriculture, and its limitations.
A mind map explaining the Normalised Difference Vegetation Index (NDVI), its formula, interpretation, key applications in environmental monitoring and agriculture, and its limitations.
Spectral Index
Quantifies Vegetation Health/Density
Formula: (NIR - Red) / (NIR + Red)
Healthy Veg: High NIR, Low Red (Chlorophyll)
Values: -1 to +1 (Higher = Healthier)
Drought Monitoring
Crop Yield Estimation
Deforestation/Land Degradation Tracking
Ecosystem Productivity Assessment
Saturation in Dense Vegetation
Sensitive to Atmospheric Effects
Soil Background Influence (Sparse Veg)
GS Paper 3: Environment (Drought, Climate Change)
GS Paper 3: S&T (Precision Agriculture)
Prelims: Basic Concept & Formula
Spectral Index
Quantifies Vegetation Health/Density
Formula: (NIR - Red) / (NIR + Red)
Healthy Veg: High NIR, Low Red (Chlorophyll)
Values: -1 to +1 (Higher = Healthier)
Drought Monitoring
Crop Yield Estimation
Deforestation/Land Degradation Tracking
Ecosystem Productivity Assessment
Saturation in Dense Vegetation
Sensitive to Atmospheric Effects
Soil Background Influence (Sparse Veg)
GS Paper 3: Environment (Drought, Climate Change)
GS Paper 3: S&T (Precision Agriculture)
Prelims: Basic Concept & Formula
Formula: ==NDVI = (NIR - Red) / (NIR + Red)==, where NIR is near-infrared reflectance and Red is red light reflectance.
Range: Values typically range from -1 to +1. Higher positive values (e.g., 0.2 to 0.9) indicate dense, healthy vegetation.
Interpretation: Healthy vegetation has high NIR reflectance and low red reflectance due to chlorophyll absorption, resulting in high NDVI values.
Chlorophyll: The index is sensitive to the amount of chlorophyll present in plants, which is a key indicator of photosynthetic activity and plant health.
Applications: Used for drought monitoring, crop yield estimation, deforestation tracking, vegetation mapping, and assessing ecosystem productivity.
Limitations: Can saturate in very dense vegetation, sensitive to atmospheric effects, and soil background can influence readings in sparse vegetation.
Variants: Other indices like Enhanced Vegetation Index (EVI) have been developed to address some of NDVI's limitations.
A mind map explaining the Normalised Difference Vegetation Index (NDVI), its formula, interpretation, key applications in environmental monitoring and agriculture, and its limitations.
Normalised Difference Vegetation Index (NDVI)
Formula: ==NDVI = (NIR - Red) / (NIR + Red)==, where NIR is near-infrared reflectance and Red is red light reflectance.
Range: Values typically range from -1 to +1. Higher positive values (e.g., 0.2 to 0.9) indicate dense, healthy vegetation.
Interpretation: Healthy vegetation has high NIR reflectance and low red reflectance due to chlorophyll absorption, resulting in high NDVI values.
Chlorophyll: The index is sensitive to the amount of chlorophyll present in plants, which is a key indicator of photosynthetic activity and plant health.
Applications: Used for drought monitoring, crop yield estimation, deforestation tracking, vegetation mapping, and assessing ecosystem productivity.
Limitations: Can saturate in very dense vegetation, sensitive to atmospheric effects, and soil background can influence readings in sparse vegetation.
Variants: Other indices like Enhanced Vegetation Index (EVI) have been developed to address some of NDVI's limitations.
A mind map explaining the Normalised Difference Vegetation Index (NDVI), its formula, interpretation, key applications in environmental monitoring and agriculture, and its limitations.
Normalised Difference Vegetation Index (NDVI)
