Soil Organic Carbon Mapping Cookbook
Soil Organic Carbon Mapping Cookbook

Author: Food and Agriculture Organization of the United Nations

Publisher: Food & Agriculture Org.

Published: 2018-05-21

Total Pages: 222

ISBN-13: 9251304408

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The Soil Organic Carbon Mapping cookbook provides a step-by-step guidance for developing 1 km grids for soil carbon stocks. It includes the preparation of local soil data, the compilation and pre-processing of ancillary spatial data sets, upscaling methodologies, and uncertainty assessments. Guidance is mainly specific to soil carbon data, but also contains many generic sections on soil grid development, as it is relevant for other soil properties. This second edition of the cookbook provides generic methodologies and technical steps to produce SOC maps and has been updated with knowledge and practical experiences gained during the implementation process of GSOCmap V1.0 throughout 2017. Guidance is mainly specific to SOC data, but as this cookbook contains generic sections on soil grid development it can be applicable to map various soil properties.

GlobalSoilMap
GlobalSoilMap

Author: Dominique Arrouays

Publisher: CRC Press

Published: 2014-01-27

Total Pages: 496

ISBN-13: 1138001198

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GlobalSoilMap: Basis of the global spatial soil information system contains contributions that were presented at the 1st GlobalSoilMap conference, held 7-9 October 2013 in Orléans, France. These contributions demonstrate the latest developments in the GlobalSoilMap project and digital soil mapping technology for which the ultimate aim is to produce a high resolution digital spatial soil information system of selected soil properties and their uncertainties for the entire world. GlobalSoilMap: Basis of the global spatial soil information system aims to stimulate capacity building and new incentives to develop full GlobalSoilMap products in all parts of the world.

Soil Organic Carbon
Soil Organic Carbon

Author: Food and Agriculture Organization of the United Nations

Publisher: Food & Agriculture Org.

Published: 2018-07-18

Total Pages: 90

ISBN-13: 9251096813

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The publication was launched at the Global Symposium on Soil Organic Carbon (GSOC) held at FAO headquarters (Rome, 21-23 March 2017). It provides an overview to decision-makers and practitioners of the main scientific facts and information regarding the current knowledge and knowledge gaps on Soil Organic Carbon. It highlights how better information and good practices may be implemented to support ending hunger, adapting to and mitigating climate change and achieving overall sustainable development.

Remote Sensing and Geographic Information System Techniques for Soil, Water and Crop Studies
Remote Sensing and Geographic Information System Techniques for Soil, Water and Crop Studies

Author: Dr. Naorem Janaki Singh

Publisher: Lulu.com

Published: 2019-11-27

Total Pages: 158

ISBN-13: 0359994741

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Remote sensing has long been used in monitoring and analyzing agricultural activities. Eveyln Pruitt of the U.S. Office of Naval Research (Estes and Jensen 1998) was first coin the term 'remote sensing' in 1958. Scientists used aerial photography for soil and crop surveys associated with agricultural areas (Goodman 1959). Remote Sensing is the science and art of acquiring information (spectral, spatial, and temporal) about material objects, area, or phenomenon, without coming into physical contact with the objects, or area, or phenomenon under investigation. Orbital platforms collect and transmit data from different parts of the electromagnetic spectrum. Remote sensing applications include monitoring deforestation areas, glacial features, and depth sounding of coastal and ocean depths.

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.

Digital Soil Mapping with Limited Data
Digital Soil Mapping with Limited Data

Author: Alfred E. Hartemink

Publisher: Springer Science & Business Media

Published: 2008-07-11

Total Pages: 448

ISBN-13: 1402085923

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Signi?cant technological advances have been few and far between in the past approximately one hundred years of soil survey activities. Perhaps one of the most innovative techniques in the history of soil survey was the introduction of aerial photographs as base maps for ?eld mapping, which replaced the conventional base map laboriously prepared by planetable and alidade. Such a relatively simple idea by today’s standards revolutionized soil surveys by vastly increasing the accuracy and ef?ciently. Yet, even this innovative approach did not gain universal acceptance immediately and was hampered by a lack of aerial coverage of the world, funds to cover the costs, and in some cases a reluctance by some soil mappers and cartog- phers to change. Digital Soil Mapping (DSM), which is already being used and tested by groups of dedicated and innovative pedologists, is perhaps the next great advancement in delivering soil survey information. However, like many new technologies, it too has yet to gain universal acceptance and is hampered by ignorance on the part of some pedologists and other scientists. DSM is a spatial soil information system created by numerical models that - count for the spatial and temporal variations of soil properties based on soil - formation and related environmental variables (Lagacheric and McBratney, 2007).

Geographic Information Systems and Applications in Coastal Studies
Geographic Information Systems and Applications in Coastal Studies

Author: Yuanzhi Zhang

Publisher: BoD – Books on Demand

Published: 2022-12-07

Total Pages: 272

ISBN-13: 1803557419

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In recent years, geographic information systems (GIS) and their coastal applications have drawn increasing awareness globally, regionally, and locally. These systems are used to monitor, model, and predict coastal zone issues. New technologies, including advances in GIS platforms and techniques, are being adopted and innovatively applied to coastal environments and disasters, coastal resources, coastal social systems, and coastal urban environments using new algorithms, big data processing, and deep learning approaches. This book examines a variety of GIS applications, providing a comprehensive overview of techniques, approaches, and experiences in GIS for coastal zones.

Predictive Soil Mapping with R
Predictive Soil Mapping with R

Author: Tomislav Hengl

Publisher: Lulu.com

Published: 2018-12-20

Total Pages: 372

ISBN-13: 0359306357

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Predictive Soil Mapping (PSM) is based on applying statistical and/or machine learning techniques to fit models for the purpose of producing spatial and/or spatiotemporal predictions of soil variables i.e. maps of soil properties and classes at different resolutions. It is a multidisciplinary field combining statistics, data science, soil science, physical geography, remote sensing, geoinformation science and a number of other sciences. Predictive Soil Mapping with R is about understanding the main concepts behind soil mapping, mastering R packages that can be used to produce high quality soil maps, and about optimizing all processes involved so that also the production costs can be reduced. The online version of the book is available at: https: //envirometrix.github.io/PredictiveSoilMapping/ Pull requests and general comments are welcome. These materials are based on technical tutorials initially developed by the ISRIC's Global Soil Information Facilities (GSIF) development team over the period 2014-2017

Remote Sensing of Soils
Remote Sensing of Soils

Author: S. Dharumarajan

Publisher: Elsevier

Published: 2023-11-28

Total Pages: 741

ISBN-13: 044318772X

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Remote Sensing of Soils: Mapping, Monitoring and Measurement covers the basic, theoretical and scientific concepts of multidisciplinary subjects, including sections that relate to soil sciences, remote sensing, geoinformatics, geomatics, civil and water resource engineering, geography, agriculture, disaster management and the earth and environmental sciences. The book consists of defined elements to help guide the reader, including an abstract, introductions, a literature review, methodology, results and discussions, findings, recommendations and conclusions. Each chapter includes theoretical information that is illustrated with flow charts, tables, figures, diagrams and other related illustrations. Site-specific research and case studies are described throughout with geographical and demographical data, current scientific issues, impacts, solutions and societal benefits, thus providing readers from multi-disciplinary backgrounds the tools they need to successful map, analyze and monitor soils. - Covers multispectral, hyperspectral and SAR remote sensing analysis of soil properties, soil moisture, soil salinity, and soil organic matters, etc., in spatio-temporal scale - Includes a section on digital soil mapping, including integrated RS, GIS and insitu surveyed data analysis for digital soil mapping using widely accepted models and approaches - Ideal for readers in the soil sciences, remote sensing, geoinformatics, geomatics, civil and water resource engineering, geography, agriculture, disaster management, and earth and environmental sciences

Digital Soil Mapping
Digital Soil Mapping

Author: Janis L. Boettinger

Publisher: Springer Science & Business Media

Published: 2010-06-28

Total Pages: 435

ISBN-13: 9048188636

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Digital Soil Mapping is the creation and the population of a geographically referenced soil database. It is generated at a given resolution by using field and laboratory observation methods coupled with environmental data through quantitative relationships. Digital soil mapping is advancing on different fronts at different rates all across the world. This book presents the state-of-the art and explores strategies for bridging research, production, and environmental application of digital soil mapping.It includes examples from North America, South America, Europe, Asia, and Australia. The chapters address the following topics: - evaluating and using legacy soil data - exploring new environmental covariates and sampling schemes - using integrated sensors to infer soil properties or status - innovative inference systems predicting soil classes, properties, and estimating their uncertainties - using digital soil mapping and techniques for soil assessment and environmental application - protocol and capacity building for making digital soil mapping operational around the globe.