Soil Characterization Using Visible Near Infrared Diffuse Reflectance Spectroscopy Vnir Drs
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Soil Characterization Using Visible Near Infrared Diffuse Reflectance Spectroscopy Vnir Drs
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Author : Kofoworola Amudat Olatunde
language : en
Publisher:
Release Date : 2018
Soil Characterization Using Visible Near Infrared Diffuse Reflectance Spectroscopy Vnir Drs written by Kofoworola Amudat Olatunde and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.
In Situ Characterization Of Soil Properties Using Visible Near Infrared Diffuse Reflectance Spectroscopy
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Author : Travis Heath Waiser
language : en
Publisher:
Release Date : 2007
In Situ Characterization Of Soil Properties Using Visible Near Infrared Diffuse Reflectance Spectroscopy written by Travis Heath Waiser and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with categories.
Diffuse reflectance spectroscopy (DRS) is a rapid proximal-sensing method that is being used more and more in laboratory settings to measure soil properties. Diffuse reflectance spectroscopy research that has been completed in laboratories shows promising results, but very little has been reported on how DRS will work in a field setting on soils scanned in situ. Seventy-two soil cores were obtained from six fields in Erath and Comanche County, Texas. Each soil core was scanned with a visible near-infrared (VNIR) spectrometer with a spectral range of 350-2500 nm in four different combinations of moisture content and pre-treatment: field-moist in situ, air-dried in situ, field-moist smeared in situ, and air-dried ground. Water potential was measured for the field-moist in situ scans. The VNIR spectra were used to predict total and fine clay content, water potential, organic C, and inorganic C of the soil using partial least squares (PLS) regression. The PLS model was validated with data 30% of the original soil cores that were randomly selected and not used in the calibration model. The root mean squared deviation (RMSD) of the air-dry ground samples were within the in situ RMSD and comparable to literature values for each soil property. The validation data set had a total clay content root mean squared deviation (RMSD) of 61 g kg−1 and 41 g kg−1 for the field-moist and air-dried in situ cores, respectively. The organic C validation data set had a RMSD of 5.8 g kg−1 and 4.6 g kg−1 for the field-moist and air-dried in situ cores, respectively. The RMSD values for inorganic C were 10.1 g kg−1 and 8.3 g kg−1 for the field moist and air-dried in situ scans, respectively. Smearing the samples increased the uncertainty of the predictions for clay content, organic C, and inorganic C. Water potential did not improve model predictions, nor did it correlate with the VNIR spectra; r2-values were below 0.31. These results show that DRS is an acceptable technique to measure selected soil properties in-situ at varying water contents and from different parent materials.
Using Visible And Near Infrared Diffuse Reflectance Spectroscopy To Characterize And Classify Soil Profiles
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Author : Katrina Margarette Wilke
language : en
Publisher:
Release Date : 2011
Using Visible And Near Infrared Diffuse Reflectance Spectroscopy To Characterize And Classify Soil Profiles written by Katrina Margarette Wilke and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with categories.
Visible and near infrared diffuse reflectance spectroscopy (VisNIR-DRS) is a method being investigated for quantifying soil properties and mapping soil profiles. Because a VisNIR-DRS system mounted in a soil penetrometer is now commercially available for scanning soil profiles in situ, methodologies for using scans to map soils and quantify soil properties are needed. The overall goal of this research is to investigate methodologies for collecting and analyzing VisNIR-DRS scans of intact soil profiles to identify soil series. Methodologies tested include scanning at variable versus uniform moistures, using individual versus averaged spectra, boosting an intact spectral library with local samples, and comparing quantitative and categorical classifications of soil series. Thirty-two soil cores from two fields, representing three soil series, were extracted and scanned every 2.5 cm from the soil surface to 1.5 m or to the depth of parent material at variable field moist conditions and at uniform moist condition. Laboratory analyses for clay, sand, and silt were performed on each horizon. Soil series were classified using partial least squares regression (PLS) and linear discriminant analysis (LDA). A Central Texas intact spectral library (n=70 intact cores) was used for PLS modeling, alone and boosted with the two fields. Because whole-field independent validation was used, relative percent difference (RPD) values were used to compare model performance. Wetting soils to uniform moisture prior to scanning improved prediction accuracy of total clay and RPD improved by 53 percent. Averaging side-by-side scans of the same soil profile improved prediction accuracy of RPD by 10 percent. When creating calibration models, boosting a library with local samples improved prediction accuracy of clay content by 80 and 34 percent for the two fields. Principal component plots provided insight on the spectral similarities between these datasets. Overall, using PLS alone performed the same as LDA at predicting soil series. Most importantly, results of this project reiterate the importance of fully-independent calibration and validation for assessing the true potential of VisNIR-DRS. Using VisNIR-DRS is an effective way for in situ characterization and classification of soil properties.
A Primer On Soil Analysis Using Visible And Near Infrared Vis Nir And Mid Infrared Mir Spectroscopy
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Author : Ge, Y., Wadoux, A., Peng, Y.
language : en
Publisher: Food & Agriculture Org.
Release Date : 2022-03-17
A Primer On Soil Analysis Using Visible And Near Infrared Vis Nir And Mid Infrared Mir Spectroscopy written by Ge, Y., Wadoux, A., Peng, Y. and has been published by Food & Agriculture Org. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-17 with Technology & Engineering categories.
“A primer on soil analysis using visible and near-infrared (vis-NIR) and mid-infrared (MIR) spectroscopy” is the first training material on the topic of soil spectroscopy for beginner levels, by the Global Soil Laboratory Network Initiative on Soil Spectroscopy (GLOSOLAN-Spec) of the Global Soil Partnership, FAO. This document provides an introduction to the use of soil spectroscopy for soil analysis and covers the basic and fundamental procedures for using this technology for soil analysis. The series “Soil spectroscopy training material” is part of the Global Soil Laboratory Network (GLOSOLAN) to strengthen the capacity of laboratories in soil analysis. It provides a series of training materials covering wide range of topics in soil vis-NIR and MIR spectroscopy. The overall objective is to develop national and regional soil spectral libraries with an estimation service, and to provide advisory services on appropriate instrumentation.
Proximal Soil Sensing
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Author : Raphael A. Viscarra Rossel
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-07-25
Proximal Soil Sensing written by Raphael A. Viscarra Rossel and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-07-25 with Science categories.
This book reports on developments in Proximal Soil Sensing (PSS) and high resolution digital soil mapping. PSS has become a multidisciplinary area of study that aims to develop field-based techniques for collecting information on the soil from close by, or within, the soil. Amongst others, PSS involves the use of optical, geophysical, electrochemical, mathematical and statistical methods. This volume, suitable for undergraduate course material and postgraduate research, brings together ideas and examples from those developing and using proximal sensors and high resolution digital soil maps for applications such as precision agriculture, soil contamination, archaeology, peri-urban design and high land-value applications, where there is a particular need for high spatial resolution information. The book in particular covers soil sensor sampling, proximal soil sensor development and use, sensor calibrations, prediction methods for large data sets, applications of proximal soil sensing, and high-resolution digital soil mapping. Key themes: soil sensor sampling – soil sensor calibrations – spatial prediction methods – reflectance spectroscopy – electromagnetic induction and electrical resistivity – radar and gamma radiometrics – multi-sensor platforms – high resolution digital soil mapping - applications Raphael A. Viscarra Rossel is a scientist at the Commonwealth Scientific and Industrial Research Organisation (CSIRO) of Australia. Alex McBratney is Pro-Dean and Professor of Soil Science in the Faculty of Agriculture Food & Natural Resources at the University of Sydney in Australia. Budiman Minasny is a Senior Research Fellow in the Faculty of Agriculture Food & Natural Resources at the University of Sydney in Australia.
Strategies For Soil Quality Assessment Using Vnir Hyperspectral Spectroscopy
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Author : Rintaro Kinoshita
language : en
Publisher:
Release Date : 2012
Strategies For Soil Quality Assessment Using Vnir Hyperspectral Spectroscopy written by Rintaro Kinoshita and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with categories.
Visible and near-infrared reflectance spectroscopy (VNIRS) is a rapid and non-destructive proximal sensing method that can predict various soil properties, and has the potential to dramatically reduce the time and cost of soil analysis. In this study, the predictability of VNIRS was assessed for sixteen soil quality indicators of Western Kenyan soils. It successfully predicted SQ indicators (R2> 0.80; ratio of performance to deviation (RPD)> 2.00) including Ca, soil organic matter, active carbon, water content at permanent wilting point, cation exchange capacity, clay, sand, and Cu of Western Kenyan soil. VNIRS was also employed to analyze soil organic carbon (SOC) distribution within a microwatershed in Costa Rica. It successfully predicted SOC content with R2 of 0.82. It appears that high spatial sampling intensities, inexpensive SOC analysis, and the "measure and multiply" extrapolation method provided by VNIRS is highly applicable for studying SOC distribution in complex agroforestry watershed.
Simultaneous Estimation Of Soil Properties By Ultra Violet Visible And Near Infrared Diffuse Reflectance Spectroscopy Technique
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Author : Kamrunnahar Islam
language : en
Publisher:
Release Date : 2005
Simultaneous Estimation Of Soil Properties By Ultra Violet Visible And Near Infrared Diffuse Reflectance Spectroscopy Technique written by Kamrunnahar Islam and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Reflectance spectroscopy categories.
Soil Property Estimation Using Visible And Near Infrared Reflectance
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Author : Alexander H. Sheridan
language : en
Publisher:
Release Date : 2012
Soil Property Estimation Using Visible And Near Infrared Reflectance written by Alexander H. Sheridan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Electronic Dissertations categories.
Site-specific management of crop production systems holds promise for maintaining high yields while preserving soil quality. This management requires detailed spatial data on soil physical and chemical characteristics but traditional testing can be slow and expensive. Recently, sensor-based approaches including reflectance spectroscopy have been proposed as alternatives for quicker, easier soil analysis. The objectives of this study were to investigate the soil property estimation capabilities of reflectance sensing with a spectrometer and with a mobile two-band sensor. In the spectrometer evaluation using profile (to 1 m) samples collected from 32 plots with varying soil characteristics, several important soil quality properties were successfully estimated. Highest accuracy was for dried and ground soil samples which had an R2 of 0.97 and 0.91 for total carbon and nitrogen, respectively. Results with field-moist soil were nearly as accurate, showing that this may be a viable, and more efficient, option. The mobile two-band sensor was evaluated in two central Missouri production fields. It showed good accuracy (R2 = 0.75) for estimating soil organic carbon (SOC) with 20 in-field calibration points. However, this accuracy was not maintained when calibration equations were applied in full-field mapping. Laboratory data collection showed that a sensor with different wavelength bands might provide more accurate results, but this would need to be verified with a wider range of soils.
Handbook Of Near Infrared Analysis
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Author : Emil W. Ciurczak
language : en
Publisher: CRC Press
Release Date : 2021-05-19
Handbook Of Near Infrared Analysis written by Emil W. Ciurczak and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-19 with Science categories.
Rapid, inexpensive, and easy-to-deploy, near-infrared (NIR) spectroscopy can be used to analyze samples of virtually any composition, origin, and condition. The Handbook of Near Infrared Analysis, Fourth Edition, explores the factors necessary to perform accurate and time- and cost-effective analyses across a growing spectrum of disciplines. This updated and expanded edition incorporates the latest advances in instrumentation, computerization, chemometrics applied to NIR spectroscopy, and method development in NIR spectroscopy, and underscores current trends in sample preparation, calibration transfer, process control, data analysis, instrument performance testing, and commercial NIR instrumentation. This work offers readers an unparalleled combination of theoretical foundations, cutting-edge applications, and practical experience. Additional features include the following: Explains how to perform accurate as well as time- and cost-effective analyses. Reviews software-enabled chemometric methods and other trends in data analysis. Highlights novel applications in pharmaceuticals, polymers, plastics, petrochemicals, textiles, foods and beverages, baked products, agricultural products, biomedicine, nutraceuticals, and counterfeit detection. Underscores current trends in sample preparation, calibration transfer, process control, data analysis, and multiple aspects of commercial NIR instrumentation. Offering the most complete single-source guide of its kind, the Handbook of Near Infrared Analysis, Fourth Edition, continues to offer practicing chemists and spectroscopists an unparalleled combination of theoretical foundations, cutting-edge applications, and detailed practical experience provided firsthand by more than 50 experts in the field.
Quantitative Estimations Of Soil Properties By Vnir Spectroscopy
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Author : Andreas Gubler
language : en
Publisher: Sudwestdeutscher Verlag Fur Hochschulschriften AG
Release Date : 2012-06
Quantitative Estimations Of Soil Properties By Vnir Spectroscopy written by Andreas Gubler and has been published by Sudwestdeutscher Verlag Fur Hochschulschriften AG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-06 with categories.
Soils are a limited resource. Information about soils is needed to assess and monitor its quality and to ensure a sustainable soil management. The acquisition of soil data is limited by the available amounts of time and money. Visible and Near Infrared Spectroscopy (VNIRS) measures the portion of reflected energy at wavelengths between 300 and 2500 nm and represents a novel, non-destructive technique allowing for fast and inexpensive soil analyses. In the present work, VNIRS was used to estimate organic carbon and total nitrogen contents of soil (samples) - in the laboratory as well as directly (in situ) in the field. In addition, the effect of soil moisture on VNIR soil reflectance was addressed. The presented results confirm the ability of VNIRS to replace classical laboratory analyses of soils. Furthermore, the potential and the pitfalls of in situ measurements are illustrated. Besides, this text also provides an extensive and comprehensible introduction into the principles and the state of the art of Near Infrared Spectroscopy as well as the used statistical calibration and validation procedures.