Spectral Signatures and Vegetation Analysis
Spectral Signatures
Electromagnetic radiation interacts with Earth's surface features through absorption, reflection, and transmission.
Surface Interactions
- Absorption: Energy is absorbed by the surface, raising its temperature, and is re-emitted as heat.
- Reflection: Energy is reflected off the surface (e.g., visible light reflecting off a leaf).
- Transmission: Energy passes through the surface (e.g., light seen through a leaf).
Leaf Interactions Example
- Visible light striking a leaf is partially reflected, creating the image we see.
- The portion not reflected is absorbed or transmitted.
- Absorbed energy raises the leaf's temperature and is re-emitted as heat.
- A leaf's reflectance and absorption characteristics give it its color.
Spectral Signatures
- A spectral signature is the pattern of spectral response of a material.
- It is typically visualized with a graph.
- The graph shows the percentage of radiation of different wavelengths reflected from an object.
- By plotting spectral signatures of different materials together, the portions of the spectrum where their signatures differ can be readily identified.
- Using multiple wavelengths in multi-dimensional space improves the ability to distinguish materials which is the basis for multispectral remote sensing.
Spectral Signature Graph
The graph typically plots:
- Wavelength (nm or μm) on the x-axis.
- Reflectance (%) on the y-axis.
Example Materials and Reflectance
- Grasslands
- Pinewoods
- Red sand
- Silty water
Example Wavelengths and Reflectance:
- Grasslands: greatest reflectance at , reflectance of at
- Pinewoods: greatest reflectance at , reflectance of at
- Red sand: greatest reflectance at , reflectance of at
- Silty water: greatest reflectance at , reflectance of at
Example Material Brightness:
- Red sand is brightest at .
- Grasslands is brightest at .
Spectral Analysis of Vegetation
Dominant Factors Controlling Leaf Reflectance
- Water absorption bands: Occur at , , , , and .
Leaf Structure
- Upper epidermis and cuticle
- Palisade parenchyma cells (containing chlorophyll)
- Spongy parenchyma mesophyll cells
- Lower epidermis
- Intercellular air spaces
Impact of Leaf Components
- Chlorophyll pigments in the palisade parenchyma mesophyll cells significantly impact the absorption and reflectance of visible light.
- Spongy parenchyma mesophyll cells significantly impact the absorption and reflectance of NIR incident energy.
Reflectance Percentage Graph
The graph plots:
- Wavelength on the x-axis.
- Reflectance % on the y-axis.
- Atmospheric Transmission % on a secondary y-axis.
Key Features
- Chlorophyll absorption bands in the visible region.
- NIR reflectance peak.
- Water absorption bands in the middle-infrared region.
Colors of Autumn Leaves
- Chlorophyll: Gives leaves their green color, breaks down in autumn.
- Carotenoids (e.g., lutein, beta-carotene): Always present, responsible for yellows and oranges.
- Anthocyanins: Produced in autumn, may protect leaves from excess light and cause the leaves to appear bright red.
Dominant Factors Controlling Visible Reflectance
- Chlorophyll a peak absorption: and
- Chlorophyll b peak absorption: and
- Optimum chlorophyll absorption windows: and
- Yellow carotenes & pale yellow xanthophyll pigments have strong absorptions in the blue ’s.
- -carotene absorption spectra exhibits strong absorption at ~.
- Phycocyanin pigment absorbs primarily in the green and red regions at ~.
Chlorophyll Dominance
- When vegetation is healthy, chlorophyll pigments are dominant and can mask carotenes and other pigments.
- During senescence or severe stress, chlorophyll dominance may be lost, causing other pigments to become dominant (e.g., at leaf fall).
- Anthocyanin may also be produced in autumn, causing leaves to appear bright red.
Dominant Factors Controlling NIR Reflectance
- In a typical healthy green leaf, NIR reflectance increases dramatically between 700 – 1200nm. Similarly, NIR absorption decreases.
- In the NIR, healthy vegetation is normally characterized by:
- High reflectance (40 – 60%)
- High transmittance to underlying leaves (40 – 60%)
- Relatively low absorption (5 – 10%)
- High diffuse reflectance of NIR (700 – 1200nm) energy from plant leaves is due to internal scattering at the cell wall-air interface within the spongy mesophyll cells.
- Leaves reflect so much NIR energy because:
- The leaf already reflects 40 – 60% of the incident NIR energy from the spongy mesophyll.
- The remaining 45 – 50% of the energy penetrates (i.e., transmitted) through the leaf and can be reflected once again by leaves below it.
Dominant Factors Controlling MIR / SWIR Reflectance
- Water vapor in the atmosphere creates five major absorption bands across the NIR to middle-infrared (MIR) wavelengths: , , , , and .
- Water content in leaves creates water absorption bands at similar wavelengths.
- There is also a strong relationship between the reflectance in the MIR region from and the amount of water present in leaves.
- Water in leaves absorb incident energy between the absorption bands with increasing strength at longer wavelengths.
- Water is a good absorber of MIR energy, so the greater the water content of the leaves, the lower the MIR reflectance.
- Conversely, as the amount of plant water in intercellular spaces decreases, this causes greater MIR leaf reflectance.
Summary of Dominant Factors
- : the various leaf pigments in the palisade parenchyma (e.g., chlorophyll a & b, and -carotene).
- : the scattering (i.e., repeated reflectance and transmission) of near-infrared (NIR) energy in the spongy mesophyll.
- : the amount of water in the plant.
Basis of Vegetation Indices
- Chlorophyll absorption in the red region.
- Reduced Chlorophyll Absorption.
- Carotenoid and Chlorophyll Absorption.
- The Red Edge.
Vegetation Indices
Infrared/Red Ratio Vegetation Index
- The near-infrared (NIR) to red simple ratio (SR) is the first true vegetation index.
- It takes advantage of the inverse relationship between chlorophyll absorption of red radiant energy and increased reflectance of near-infrared energy for healthy plant canopies.
Normalized Difference Vegetation Index (NDVI)
- The generic normalized difference vegetation index (NDVI) has provided a method of estimating net primary production over varying biome types, identifying ecoregions, monitoring phenological patterns of the earth’s vegetative surface, and assessing the length of the growing season and dry-down periods.
Example NDVI Calculation:
- Near-infrared: 50%
- Visible: 8%
Example NDVI Calculation:
- Near-infrared: 40%
- Visible: 30%
Important Topics
- Which surface interaction is used by Earth observing satellites to take images of the surface of the earth?
- What are remote sensing scientists able to accomplish by comparing the spectral signatures of different materials?
- What does NDVI stand for, and what parts of the EMS does it take advantage of when measuring vegetation?
- What are the dominant factors controlling the spectral response of leaves in the visible, NIR, and MIR part of the spectrum?