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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). Beginning 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 in
Digital soil mapping --- Soil mapping. --- Soils --- Cartography --- Soil surveys --- Predictive soil mapping --- Soil mapping --- Mapping --- Digital soil mapping - Congresses
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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: - 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 - evaluating and using legacy soil data - protocol and capacity building for making digital soil mapping operational around the globe. Key themes: soil science --digital soil mapping - -soil survey and inventory - -soil information -geographic information systems Janis Boettinger is Professor of soil science at Utah State University, engaged in digital soil mapping research and outreach. Alfred E. Hartemink coordinates GlobalSoilMap.net from ISRIC - World Soil Information in The Netherlands. David Howell, Amanda Moore, and Suzann Kienast-Brown are digital soil mapping practitioners in the USA Soil Survey Program.
Earth Sciences. --- Remote Sensing/Photogrammetry. --- Soil Science & Conservation. --- Geographical Information Systems/Cartography. --- Geography. --- Remote sensing. --- Geographical information systems. --- Soil conservation. --- Géographie --- Télédétection --- Systèmes d'information --- Sols --- Noms géographiques --- Conservation --- Digital soil mapping --- Bodenkartierung. --- Digitalisierung.
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This book addresses the mapping of soil-landscape parameters in the geospatial domain. It begins by discussing the fundamental concepts, and then explains how machine learning and geomatics can be applied for more efficient mapping and to improve our understanding and management of ‘soil’. The judicious utilization of a piece of land is one of the biggest and most important current challenges, especially in light of the rapid global urbanization, which requires continuous monitoring of resource consumption. The book provides a clear overview of how machine learning can be used to analyze remote sensing data to monitor the key parameters, below, at, and above the surface. It not only offers insights into the approaches, but also allows readers to learn about the challenges and issues associated with the digital mapping of these parameters and to gain a better understanding of the selection of data to represent soil-landscape relationships as well as the complex and interconnected links between soil-landscape parameters under a range of soil and climatic conditions. Lastly, the book sheds light on using the network of satellite-based Earth observations to provide solutions toward smart farming and smart land management. .
Digital soil mapping. --- Predictive soil mapping --- Soil mapping --- Computational intelligence. --- Big data. --- Remote sensing. --- Computational Intelligence. --- Big Data. --- Remote Sensing/Photogrammetry. --- Remote-sensing imagery --- Remote sensing systems --- Remote terrain sensing --- Sensing, Remote --- Terrain sensing, Remote --- Aerial photogrammetry --- Aerospace telemetry --- Detectors --- Space optics --- Data sets, Large --- Large data sets --- Data sets --- Intelligence, Computational --- Artificial intelligence --- Soft computing
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Geomorphometry is the science of quantitative land-surface analysis. It draws upon mathematical, statistical, and image-processing techniques to quantify the shape of earth's topography at various spatial scales. The focus of geomorphometry is the calculation of surface-form measures (land-surface parameters) and features (objects), which may be used to improve the mapping and modelling of landforms to assist in the evaluation of soils, vegetation, land use, natural hazards, and other information. This book provides a practical guide to preparing Digital Elevation Models (DEM) for an
Geology. Earth sciences --- Pedology --- Geomorphology --- Digital soil mapping --- Image processing --- Geomorphology. --- Soil science. --- Géomorphologie --- Cartographie pédologique par ordinateur --- Traitement d'images --- Pédologie --- Computer simulation --- Data processing --- Mathematical models --- Methodology --- Digital techniques. --- Simulation par ordinateur --- Informatique --- Modèles mathématiques --- Méthodologie --- Techniques numériques --- Paysage --- Landscape --- Facteur climatique --- climatic factors --- Gestion des eaux --- water management --- Topographie --- Topography --- Application des ordinateurs --- computer applications --- Mesure --- Measurement --- Instrument de mesure --- Measuring instruments --- design --- Logiciel --- Computer software --- Traitement des données --- Modèle --- Models --- Cartographie --- cartography --- Aménagement du paysage --- Landscaping --- Développement régional --- Regional development --- Végétation --- vegetation --- Glissement de terrain --- Landslides --- Hydrologie --- Hydrology --- Météorologie --- Meteorology --- Agriculture faible niveau intrants --- Low input agriculture --- Digital soil mapping. --- Computer simulation. --- Data processing. --- Mathematical models. --- Methodology. --- Géomorphologie --- Cartographie pédologique par ordinateur --- Pédologie --- Modèles mathématiques --- Méthodologie --- Techniques numériques --- vegetation. --- Pedology (Soil science) --- Agriculture --- Earth sciences --- Geomorphic geology --- Physiography --- Physical geography --- Landforms --- Soil science --- Digital techniques --- Geomorphology - Computer simulation --- Geomorphology - Data processing --- Geomorphology - Mathematical models --- Geomorphology - Methodology --- Image processing - Digital techniques --- Dems --- Tapes
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There has been considerable expansion in the use of digital soil mapping technologies and development of methodologies that improve digital soil mapping at all scales and levels of resolution. These developments have occurred in all parts of the world in the past few years and also in countries where it was previously absent. There is almost always a shortage of data in soil research and its applications and this may lead to unsupported statements, poor statistics, misrepresentations and ultimately bad resource management. In digital soil mapping, maximum use is made of sparse data and this book contains useful examples of how this can be done. This book focuses on digital soil mapping methodologies and applications for areas where data are limited, and has the following sections (i) introductory papers, (ii) dealing with limited spatial data infrastructures, (iii) methodology development, and (iv) examples of digital soil mapping in various parts of the globe (including USA, Brazil, UK, France, Czech Republic, Honduras, Kenya, Australia). The final chapter summarises priorities for digital soil mapping.
Digital soil mapping. --- Predictive soil mapping --- Soil mapping --- Soil conservation. --- Geographical information systems. --- Physical geography. --- Soil Science & Conservation. --- Geographical Information Systems/Cartography. --- Geophysics/Geodesy. --- Geography --- Geographical information systems --- GIS (Information systems) --- Information storage and retrieval systems --- Conservation of soil --- Erosion control, Soil --- Soil erosion --- Soil erosion control --- Soils --- Agricultural conservation --- Soil management --- Control --- Prevention --- Conservation --- Soil science. --- Geophysics. --- Geological physics --- Terrestrial physics --- Earth sciences --- Physics --- Pedology (Soil science) --- Agriculture
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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. .
Agriculture - General --- Ecology --- Earth & Environmental Sciences --- Agriculture --- Digital soil mapping --- Predictive soil mapping --- Soil mapping --- Soil conservation. --- Geographical information systems. --- Agriculture. --- Soil Science & Conservation. --- Geographical Information Systems/Cartography. --- Farming --- Husbandry --- Industrial arts --- Life sciences --- Food supply --- Land use, Rural --- Geographical information systems --- GIS (Information systems) --- Information storage and retrieval systems --- Conservation of soil --- Erosion control, Soil --- Soil erosion --- Soil erosion control --- Soils --- Agricultural conservation --- Soil management --- Geography --- Control --- Prevention --- Conservation --- Soil science. --- Pedology (Soil science) --- Earth sciences
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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: - 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 - evaluating and using legacy soil data - protocol and capacity building for making digital soil mapping operational around the globe. Key themes: soil science --digital soil mapping - -soil survey and inventory - -soil information -geographic information systems Janis Boettinger is Professor of soil science at Utah State University, engaged in digital soil mapping research and outreach. Alfred E. Hartemink coordinates GlobalSoilMap.net from ISRIC - World Soil Information in The Netherlands. David Howell, Amanda Moore, and Suzann Kienast-Brown are digital soil mapping practitioners in the USA Soil Survey Program.
Agriculture. --- Hydric soils. --- Soil. --- Wetlands. --- Digital soil mapping --- Agriculture --- Agriculture - General --- Earth & Environmental Sciences --- Predictive soil mapping --- Earth sciences. --- Sedimentology. --- Geophysics. --- Geographical information systems. --- Remote sensing. --- Soil science. --- Soil conservation. --- Earth Sciences. --- Geophysics/Geodesy. --- Geographical Information Systems/Cartography. --- Remote Sensing/Photogrammetry. --- Soil Science & Conservation. --- Soil mapping --- Physical geography. --- Conservation of soil --- Erosion control, Soil --- Soil erosion --- Soil erosion control --- Soils --- Agricultural conservation --- Soil management --- Geographical information systems --- GIS (Information systems) --- Information storage and retrieval systems --- Geography --- Petrology --- Control --- Prevention --- Conservation --- Pedology (Soil science) --- Earth sciences --- Remote-sensing imagery --- Remote sensing systems --- Remote terrain sensing --- Sensing, Remote --- Terrain sensing, Remote --- Aerial photogrammetry --- Aerospace telemetry --- Detectors --- Space optics --- Geological physics --- Terrestrial physics --- Physics
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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.
Environment. --- Soil Science & Conservation. --- Remote Sensing/Photogrammetry. --- Geographical Information Systems/Cartography. --- Geophysics/Geodesy. --- Environmental sciences. --- Physical geography. --- Remote sensing. --- Geographical information systems. --- Soil conservation. --- Sciences de l'environnement --- Géographie physique --- Télédétection --- Systèmes d'information --- Sols --- Noms géographiques --- Conservation --- Soils --- Digital soil mapping --- Remote sensing --- Propriété physicochimique du sol --- soil chemicophysical properties --- Relevé (des données) --- surveying --- Capteur --- Sensors --- Traitement d'images --- Image processing --- Spectrométrie --- Spectrometry --- Radar --- Système d'information géographique --- Geographical information systems --- Méthode statistique --- Statistical methods --- Digital soil mapping. --- Environmental Sciences and Forestry. Soil Science --- Soil Science (General) --- Agriculture -- Remote sensing. --- Soils -- Remote sensing. --- Agriculture - General --- Ecology --- Earth & Environmental Sciences --- Agriculture --- Soil Science (General). --- Predictive soil mapping --- Earth (Soils) --- Mold, Vegetable --- Mould, Vegetable --- Soil --- Vegetable mold --- Earth sciences. --- Sedimentology. --- Geophysics. --- Soil science. --- Earth Sciences. --- Soil mapping --- Agricultural resources --- Plant growing media --- Regolith --- Land capability for agriculture --- Conservation of soil --- Erosion control, Soil --- Soil erosion --- Soil erosion control --- Agricultural conservation --- Soil management --- GIS (Information systems) --- Information storage and retrieval systems --- Petrology --- Geography --- Control --- Prevention --- Geological physics --- Terrestrial physics --- Earth sciences --- Physics --- Remote-sensing imagery --- Remote sensing systems --- Remote terrain sensing --- Sensing, Remote --- Terrain sensing, Remote --- Aerial photogrammetry --- Aerospace telemetry --- Detectors --- Space optics --- Pedology (Soil science) --- Soils - Remote sensing
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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.
Soil Science & Conservation. --- Math. Appl. in Environmental Science. --- Digital soil mapping. --- Predictive soil mapping --- Environment. --- Geographical information systems. --- Statistics. --- Environmental sciences. --- Soil science. --- Soil conservation. --- Geographical Information Systems/Cartography. --- Statistics and Computing/Statistics Programs. --- R (Computer program language) --- GNU-S (Computer program language) --- Domain-specific programming languages --- Soil mapping --- Mathematical statistics. --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Environmental science --- Science --- Geographical information systems --- GIS (Information systems) --- Information storage and retrieval systems --- Conservation of soil --- Erosion control, Soil --- Soil erosion --- Soil erosion control --- Soils --- Agricultural conservation --- Soil management --- Statistical methods --- Geography --- Control --- Prevention --- Conservation --- Statistics . --- Statistical analysis --- Statistical data --- Statistical science --- Econometrics --- Pedology (Soil science) --- Agriculture --- Earth sciences --- R (Computer program language).
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