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Related Concept Videos

Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview01:13

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Attenuated total reflectance (ATR) infrared spectroscopy is a powerful analytical technique used to study the composition of materials. It is widely employed in chemistry, materials science, forensic science, and other fields where sample characterization is required. ATR has several advantages over traditional transmission IR spectroscopy, including the requirement of little to no sample preparation and the ability to analyze a wide range of samples.
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When electromagnetic radiation passes through a material, atoms or molecules transition from a lower to a higher energy state by absorbing radiation corresponding to the energy difference between the two states. The absorption of infrared (IR) radiation causes transitions between vibrational energy levels in a molecule. Therefore, IR spectroscopy is a useful analytical tool for determining the molecular structure of molecules.
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Precipitation Gravimetry

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Precipitation gravimetry is based on converting an analyte into a sparingly soluble precipitate, which is separated by filtration and weighed. An ideal precipitate should be pure, insoluble, of known composition, and easily filtered from the reaction mixture.
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The experimental conditions in a gravimetric analysis should be optimized to maximize the particle size and purity of the obtained precipitate. Ideally, the concentration of the precipitating reagent should be low with effective stirring to maintain low relative supersaturation for the growth of large crystals. In homogeneous precipitation, the precipitant is slowly generated by a chemical reaction in the solution to avoid local reagent excesses. For example, urea decomposes gradually to...
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Surface Renewal: An Advanced Micrometeorological Method for Measuring and Processing Field-Scale Energy Flux Density Data
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[Bare Soil Moisture Inversion Model Based on Visible-Shortwave Infrared Reflectance].

Xiao-po Zheng, Yue-jun Sun, Qi-ming Qin

    Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu
    |December 18, 2015
    PubMed
    Summary

    A new index, normalized spectral slope and absorption index (NSSAI), accurately estimates soil moisture. This method reduces soil type influence, improving remote sensing accuracy for bare soil moisture inversion.

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    Area of Science:

    • Soil science
    • Remote sensing technology
    • Spectroscopy

    Context:

    • Soil moisture is a critical variable in land surface processes.
    • Accurate soil moisture estimation is vital for various applications.
    • Remote sensing offers a feasible approach for large-scale soil moisture monitoring.

    Purpose:

    • To develop a novel index for soil moisture estimation.
    • To minimize the impact of soil type on soil moisture retrieval.
    • To enhance the accuracy of bare soil moisture inversion using remote sensing.

    Summary:

    • A normalized spectral slope and absorption index (NSSAI) was developed by analyzing spectral features.
    • The NSSAI synthesizes moisture absorption at shortwave and spectral slope in visible wavelengths.
    • A strong linear relationship (R²=0.93) was established between NSSAI and soil moisture.

    Impact:

    • The NSSAI effectively reduces soil type influence on soil moisture estimation.
    • This method significantly improves the accuracy of bare soil moisture inversion.
    • NSSAI offers a more robust approach compared to traditional methods.