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Book ChapterDOI

Diffuse Reflectance Spectroscopy

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TLDR
In this article, the authors describe available laboratory methods for recording diffuse reflectance spectra for soil materials and ways to handle the information to identify and characterize soil minerals, which can be used for identifying and identifying soil types.
Abstract
The appearance of a soil results from the interaction of its different constituents with incident light. Color and various other attributes of the appearance of soil are highly sensitive to the nature, proportion, particle size and morphology, and spatial association of its mineral and organic components. In fact, color has been used for more than 75 yr to obtain information about these soil properties with a goal of characterizing and distinguishing soil types. The demand for a standardized method to describe soil color was met by the adoption of the Munsell notation by the USA Soil Survey Program in 1949 and, about 10 yr later, by the International Society of Soil Science (Simonson, 1993). Since then, Munsell Soil Color Charts (Munsell Color, 1975) have been systematically used by pedologists. Visual estimation of soil color, however, is subject to substantial error due to various psychophysical and physical factors. For this reason, the use of colorimeters and spectrophotometers has gained widespread acceptance among soil scientists as a means to measure color accurately and precisely. Moreover, different types of spectrophotometers afford the elucidation of the spectrum of light reflected by a soil illuminated in various ways. Reflectance, which is the base quantity that characterizes the process of reflection, is defined as the ratio of the reflected radiant flux (or power) to the incident radiant flux (or power) (Wyszecki and Stiles, 1982). Generally, the reflectance of a soil at any wavelength λ can be considered to be the sum of two components: regular (or specular, or mirror) reflectance and diffuse (or volume or nondirectional) reflectance (defined in more detail below). Reflectance measurements in the field are usually made on relatively large areas (>10 cm2). Under these conditions, both specular and diffuse reflectance usually contribute to the total reflectance of a soil surface, the magnitude of which depends on particle size, structure, microrelief, and other properties that define the “surface state” (Escadafal, 1989). In contrast, laboratory measurements of soil reflectance are usually made on small areas (<10 cm2) of disturbed soil materials that are usually sieved or ground to a small size. In this case diffuse reflectance predominates, which depends mainly on soil composition. This chapter describes available laboratory methods for recording diffuse reflectance spectra for soil materials and ways to handle the information to identify and characterize soil minerals. Only the visible and narrow vicinal ultraviolet (UV) and infrared (IR) regions of the spectrum are considered here because reflectance in the IR region is the subject of another chapter (Johnston and Aochi, 1996)).

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Book ChapterDOI

Soil Chemical Insights Provided through Vibrational Spectroscopy

TL;DR: Vibrational spectroscopy techniques provide a powerful approach to the study of environmental materials and processes as discussed by the authors, which can be used to probe molecular vibrations of solid, liquid, and gaseous samples for characterizing materials, elucidating reaction mechanisms, and examining kinetic processes.
Journal ArticleDOI

A linear physically-based model for remote sensing of soil moisture using short wave infrared bands

TL;DR: A physically-based soil moisture retrieval model in the solar domain (350-2500nm) that is based on the Kubelka-Munk two-flux radiative transfer theory is presented in this article.
Journal ArticleDOI

The Kubelka-Munk Diffuse Reflectance Formula Revisited

TL;DR: In this paper, an integral equation approach is used to find the Kubelka-Munk (KM) diffuse reflectance formula and extend the result by finding the apparent path length and total intensity distribution inside an infinite, homogeneous, diffusely reflecting medium with isotropic scattering.
Journal ArticleDOI

Automated method for the determination of the band gap energy of pure and mixed powder samples using diffuse reflectance spectroscopy.

TL;DR: It is demonstrated that the method to estimate Eg by intersecting the straight-line fit of the Tauc segment with the photon energy axis is not appropriate for those samples containing more than one optical absorbing phase because systematic underestimation of the Eg value results.
Journal ArticleDOI

A physically based vegetation index for improved monitoring of plant phenology

TL;DR: In this paper, the authors proposed a physically-based vegetation index for characterizing terrestrial vegetation canopy green leaf area dynamics: the plant phenology index (PPI), which is derived from the solution to a radiative transfer equation, is computed from red and near-infrared (NIR) reflectance, and has a nearly linear relationship with canopy greenleaf area index (LAI), enabling it to depict canopy foliage density well.
References
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Book

Numerical Recipes in FORTRAN

TL;DR: The Diskette v 2.04, 3.5'' (720k) for IBM PC, PS/2 and compatibles [DOS] Reference Record created on 2004-09-07, modified on 2016-08-08.
Book

Color Science. Concepts and Methods, Quantitative Data and Formulas

TL;DR: An encyclopedic survey of color science can be found in this article, which includes details of light sources, color filters, physical detectors of radiant energy, and the working concepts in color matching, discrimination, and adaptation.
Journal ArticleDOI

New contributions to the optics of intensely light-scattering materials.

TL;DR: In this paper, the Gurevic and Judd formulas were derived from the Kubelka-Munk differential equations, and they are exact under the same conditions as in this paper, that is, when the material is perfectly dull and when the light, is perfectly diffused or if it is parallel and hits the specimen under an angle of 60° from normal.
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