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Digital Soil Mapping with Limited Data
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 reluctan...
Using R for Digital Soil Mapping
This book describes and provides many detailed examples of implementing Digital Soil Mapping (DSM) using R. The work adheres to Digital Soil Mapping theory, and presents a strong focus on how to apply it. DSM exercises are also included and cover procedures for handling and manipulating soil and spatial data in R. The book also introduces the basic concepts and practices for building spatial soil prediction functions, and then ultimately producing digital soil maps.
Digital Soil Mapping
The book compiles the main ideas and methodologies that have been proposed and tested within these last fifteen years in the field of Digital Soil Mapping (DSM). Begining with current experiences of soil information system developments in various regions of the world, this volume presents states of the art of different topics covered by DSM: Conception and handling of soil databases, sampling methods, new soil spatial covariates, Quantitative spatial modelling, Quality assessment and representation of DSM outputs. This book provides a solid support to students, researchers and engineers interested in modernising soil survey approaches with numerical techniques. It is also of great interest for potential soil data users.* A new concept to meet the worldwide demand for spatial soil data * The first compilation of ideas and methodologies of Digital Soil Mapping * Offers a variety of specialities: soil surveying, geostatistics, data mining, fuzzy logic, remote sensing techniques, Geographical Information Science,...* Written by 82 researchers from 13 different countries
Predictive Soil Mapping with R
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
Digital Soil Mapping
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.
Digital Soil Mapping Across Paradigms, Scales and Boundaries
This book contains papers presented at the 6th Global Workshop on Digital Soil Mapping, held 11-14 November 2014 at the Institute of Soil Science, Chinese Academy of Sciences of Nanjing, China. Digital soil mapping is advancing on different fronts at different paces throughout the world. The researches and applications on DSM are moving from method development to realizations in different scales and regions, serving the generation of national and continental to global soil grids. Meanwhile, new ideas and insights on mapping complex soil-landscapes such as flat plains,anthropogenically altered agriculture and urban spaces are emerging, with the help of new paradigms and models.The goal of the sixth workshop was to review and discuss the state of the art in digital soil mapping, and to explore strategies for bridging research, production, and environmental applications. This book provides a very useful and comprehensive overview of the status of digital soil mapping, in which graduate students, scientists and specialists working within the field of geography can find the spatial prediction approaches and related theory.
Applied Soil Mapping for Planning, Development and Conservation
Planners and developers, as well as civil engineers, ecologists, foresters and agriculturalists are all potential users in soil mapping. Recent developments in modern soil survey, particularly the application of computerized interpretation techniques, may yet be unappreciated. This report demonstrates the application of detailed soil maps to practical aspects of land use by correlating them with climatic and other data. Centred on the Southampton district, the study forming the background to this report also explored the interrelationships of soil maps and soil information with geological information and maps.
GlobalSoilMap - Digital Soil Mapping from Country to Globe
GlobalSoilMap: Digital Soil Mapping from Country to Globe contains contributions that were presented at the 2nd GlobalSoilMap conference, held 4-6 July 2017 in Moscow, Russian Federation. These contributions demonstrate new developments in the GlobalSoilMap project and digital soil mapping technology in many parts of the world, with special focus on former USSR countries. GlobalSoilMap: Digital Soil Mapping from Country to Globe aims to stimulate capacity building and new incentives to develop full GlobalSoilMap products in all parts of the world.
Soil Mapping and Process Modeling for Sustainable Land Use Management
Soil Mapping and Process Modeling for Sustainable Land Use Management is the first reference to address the use of soil mapping and modeling for sustainability from both a theoretical and practical perspective. The use of more powerful statistical techniques are increasing the accuracy of maps and reducing error estimation, and this text provides the information necessary to utilize the latest techniques, as well as their importance for land use planning. Providing practical examples to help illustrate the application of soil process modeling and maps, this reference is an essential tool for professionals and students in soil science and land management who want to bridge the gap between soil modeling and sustainable land use planning. - Offers both a theoretical and practical approach to soil mapping and its uses in land use management for sustainability - Synthesizes the most up-to-date research on soil mapping techniques and applications - Provides an interdisciplinary approach from experts worldwide working in soil mapping and land management
