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Related Concept Videos

Color Vision01:24

Color Vision

653
Color perception begins in the retina, the light-sensitive layer at the back of the eye. Two main theories explain how colors are seen: the trichromatic theory and the opponent-process theory. The trichromatic theory, proposed by Thomas Young in 1802 and extended by Hermann von Helmholtz in 1852, suggests that color vision is based on three types of cone receptors in the retina. These cones are sensitive to different but overlapping ranges of wavelengths corresponding to red, blue, and green.
653
Emission Spectra02:39

Emission Spectra

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When solids, liquids, or condensed gases are heated sufficiently, they radiate some of the excess energy as light. Photons produced in this manner have a range of energies, and thereby produce a continuous spectrum in which an unbroken series of wavelengths is present.
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Photoreceptors and Visual Pathways01:22

Photoreceptors and Visual Pathways

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At the molecular level, visual signals trigger transformations in photopigment molecules, resulting in changes in the photoreceptor cell's membrane potential. The photon's energy level is denoted by its wavelength, with each specific wavelength of visible light associated with a distinct color. The spectral range of visible light, classified as electromagnetic radiation, spans from 380 to 720 nm. Electromagnetic radiation wavelengths exceeding 720 nm fall under the infrared category,...
6.3K
Ultraviolet and Visible (UV–Vis) Spectroscopy: Overview01:02

Ultraviolet and Visible (UV–Vis) Spectroscopy: Overview

2.9K
Ultraviolet–visible (UV–visible or UV–Vis) spectroscopy is an analytical technique that investigates the interaction between matter and UV–Vis light within the electromagnetic spectrum. This method is widely used for its versatility, simplicity, and relatively quick data acquisition, making it valuable for both qualitative and quantitative analysis. When UV–Vis radiation passes through a material,  molecules absorb light depending on the energy required for...
2.9K
UV–Vis Spectroscopy of Conjugated Systems01:32

UV–Vis Spectroscopy of Conjugated Systems

7.2K
Organic compounds with conjugated double bonds show strong absorption features in the UV–visible region of the electromagnetic spectrum attributed to π → π* electronic excitations. Generally, a UV–vis absorption spectrum is recorded as a plot of absorbance vs wavelength. The wavelength of maximum absorbance, which manifests as a peak in the absorption spectrum, is denoted as λmax.
One of the factors influencing λmax is the extent...
7.2K
UV–Vis Spectrum01:30

UV–Vis Spectrum

1.2K
When light passes through a substance, a portion of the light is absorbed while the remaining light is reflected or transmitted. If the molecule absorbs light between the wavelengths of 180–400 nm range, the UV spectrum is obtained, and if it absorbs light in the 400–780 nm wavelength range, the visible spectrum is obtained.     
The UV–Vis spectrum of a molecule is the plot of its absorbance versus wavelength. The plot is drawn by taking molar...
1.2K

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Related Experiment Video

Updated: Aug 25, 2025

ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis
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The Spectral Species Concept in Living Color.

Duccio Rocchini1,2, Maria J Santos3, Susan L Ustin4

  • 1BIOME Lab, Department of Biological, Geological and Environmental Sciences Alma Mater Studiorum University of Bologna Bologna Italy.

Journal of Geophysical Research. Biogeosciences
|October 17, 2022
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Summary
This summary is machine-generated.

Earth

Keywords:
airborne sensorsbiodiversityecoinformaticshyperspectral imagesplant optical typesremote sensingsatellite imageryvegetation communities

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Area of Science:

  • Remote sensing
  • Ecology
  • Biodiversity monitoring

Background:

  • Global biodiversity monitoring presents significant challenges.
  • Advanced optical sensors (imaging spectrometers) offer high-resolution data.
  • New analytics enable measurement of plant traits and ecosystem functions.

Purpose of the Study:

  • Review the spectral species concept for biodiversity monitoring.
  • Relate the concept to ecological principles.
  • Discuss challenges and opportunities in applying remote sensing for species identification.

Main Methods:

  • Utilizing spectral signatures from imaging spectrometers.
  • Applying advanced modeling and analytics.
  • Examining the spectral species concept in relation to pixel resolution.

Main Results:

  • The spectral species concept offers a framework for remote biodiversity assessment.
  • Pixel resolution limitations can complicate species-specific spectral assignments.
  • Current and future remote sensing technologies present opportunities for improved monitoring.

Conclusions:

  • Remote sensing, particularly with imaging spectrometers, is crucial for global biodiversity monitoring.
  • The spectral species concept, despite challenges, is a key framework for utilizing spectral data.
  • Integrating ecological principles with advanced remote sensing is vital for future biodiversity assessments.