Proximal Soil Sensing

Proximal Soil Sensing

Author: Raphael A. Viscarra Rossel

Publisher: Springer Science & Business Media

Published: 2010-07-25

Total Pages: 440

ISBN-13: 9048188598

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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.


Soil Spectral Inference with R

Soil Spectral Inference with R

Author: Alexandre M.J.-C. Wadoux

Publisher: Springer Nature

Published: 2021-02-25

Total Pages: 247

ISBN-13: 3030648966

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This book provides a didactic overview of techniques for inferring information from soil spectroscopic data, and the codes in the R programming language for performing such analyses. It is intended for students, researchers and practitioners looking to infer soil information from spectroscopic data, focusing mainly on, but not restricted to, the infrared range of the electromagnetic spectrum. Little prior knowledge of the R programming language or digital soil spectra is required. We work through the steps to process spectroscopic data systematically.


Recent Trends in Image Processing and Pattern Recognition

Recent Trends in Image Processing and Pattern Recognition

Author: K. C. Santosh

Publisher: Springer

Published: 2019-07-19

Total Pages: 717

ISBN-13: 9811391815

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This three-volume set constitutes the refereed proceedings of the Second International Conference on Recent Trends in Image Processing and Pattern Recognition (RTIP2R) 2018, held in Solapur, India, in December 2018. The 173 revised full papers presented were carefully reviewed and selected from 374 submissions. The papers are organized in topical sections in the tree volumes. Part I: computer vision and pattern recognition; machine learning and applications; and image processing. Part II: healthcare and medical imaging; biometrics and applications. Part III: document image analysis; image analysis in agriculture; and data mining, information retrieval and applications.


Remote Sensing of Soils

Remote Sensing of Soils

Author: Ravi Shankar Dwivedi

Publisher: Springer

Published: 2017-08-19

Total Pages: 518

ISBN-13: 3662537400

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This book is about applications of remote sensing techniques in the studies on soils. In pursuance of the objective, the book initially provides an introduction to various elements and concepts of remote sensing, and associated technologies , namely Geographic Information System (GIS), Global Positioning System (GPS) in chapter-1. An overview of the sensors used to collect remote sensing data and important Earth observation missions is provided in chapter-2. The processing of satellite digital data (geometric and radiometric corrections, feature reduction, digital data fusion, image enhancements and analysis) is dealt with in Chapter-3. In the chapter to follow the interpretation of remote sensing data , very important and crucial step in d eriving information on natural resources including soils resources, is discussed. An introduction to soils as a natural body with respect to their formation, physical and chemical properties used during inventory of soils, and soil classification is given in Chapter-5.The spectral response patterns of soils including hyperspectral characteristics -fundamental to deriving information on soils from spectral measurements, and the techniques of soil resources mapping are discussed in chapter-6 and -7,respectively. Furthermore, the creation of digital soil resources database and the development of soil information systems, a very important aspect of storage and dissemination of digital soil data to the end users are discussed in ch.apter-8. Lastly, the applications of remote sensing techniques in soil moisture estimation and soil fertility evaluation are covered in chapter-9 and -10, respectively.


Chemistry of Aquatic Systems: Local and Global Perspectives

Chemistry of Aquatic Systems: Local and Global Perspectives

Author: Giovanni Bidoglio

Publisher: Springer Science & Business Media

Published: 2013-11-08

Total Pages: 534

ISBN-13: 9401710244

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Aquatic systems play a salient role in the complex processes of energy and matter exchange between the geosphere and the atmosphere. For example, reactions taking place in cloud water droplets can substantially alter the atmospheric budget and chemistry of trace gases; pollution induced weathering reactions at water/soil interfaces can affect the availability of nutrients and increase the concentration of potentially toxic metals in groundwaters. Moreover, the inextricable links between the water cycle, the geosphere and the atmosphere ensure that apparently localized environmental problems have increasingly impacts in other parts of the world. To identify local-to-global scale variables associated with environmental changes, a focus must be placed on the recognition of processes, rather than a continued reliance on monitoring state variables. However, in heterogeneous aquatic systems, small scale aspects of a process under observation may not be summed directly to obtain regional estimates because of process nonlinearities with change in scale. To understand this, the integrated use of measurements across a range of scales is required.


Remote Compositional Analysis

Remote Compositional Analysis

Author: Janice L. Bishop

Publisher: Cambridge University Press

Published: 2019-11-28

Total Pages: 655

ISBN-13: 110718620X

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Comprehensive overview of the spectroscopic, mineralogical, and geochemical techniques used in planetary remote sensing.