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Recurrent Neural Net Regression Models With Space Varying Coefficients For Pedotransfer Function Estimation And Prediction Of Soil Properties
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Book Synopsis Recurrent Neural Net Regression Models with Space-varying Coefficients for Pedotransfer Function Estimation and Prediction of Soil Properties by : Daniel Takata Gomes
Download or read book Recurrent Neural Net Regression Models with Space-varying Coefficients for Pedotransfer Function Estimation and Prediction of Soil Properties written by Daniel Takata Gomes and published by . This book was released on 2005 with total page 20 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Development of Pedotransfer Functions with Neural Network Models by :
Download or read book Development of Pedotransfer Functions with Neural Network Models written by and published by . This book was released on 2001 with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unsaturated soil hydraulic properties determine the capacity of soils and rocks to retain and transmit water. Hydraulic properties may be needed in applications involving remediation and restoration of contaminated soils, trafficability of soils, flood control, and remotely sensed data. Current methods to measure hydraulic properties are perceived as inadequate to meet the data requirements for most (large scale) applications. Neural networks are used in our research to develop pedotransfer functions (PTFs) for the hierarchical estimation of hydraulic data from basic data such as soil texture and bulk density. Neural networks were calibrated on a database of more than 2000 soils. The predictions generally compared favorably with published PTFs. Especially noteworthy is the unsaturated hydraulic conductivity; we improved its prediction by almost half an order of magnitude compared to traditional methods. We have completed the computer program Rosetta to facilitate neural network based predictions of hydraulic parameters. The uncertainty of the estimates was shown to increase for lower water contents. We have also converted our database of soil hydraulic properties to Windows from DOS.
Book Synopsis Development of Pedotransfer Functions in Soil Hydrology by : Y. Pachepsky
Download or read book Development of Pedotransfer Functions in Soil Hydrology written by Y. Pachepsky and published by Elsevier. This book was released on 2004-11-23 with total page 542 pages. Available in PDF, EPUB and Kindle. Book excerpt: Environmental and agricultural modeling and assessment have a multitude of uses for soil parameters governing retention and transport of water and chemicals in soils. These parameters are notorious for the difficulties and high labor costs involved in measuring them. Good estimates instead of direct measurements may be accurate enough for many applications. Pedotransfer functions provide such estimates by utilizing available soil survey information to translate data we have into data we need. This book is the first book on the topic. It provides the unique compendium of pedotransfer functions, summarizes the vast international experience in this field, and shows how the value of soil data can be increased by using them in pedotransfer functions to predict soil hydrologic and related properties. The book is a rich source of information crucial for environmental research and applications.
Download or read book Pedometrics written by Alex. B. McBratney and published by Springer. This book was released on 2018-04-24 with total page 715 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the basic concepts of quantitative soil science and, within this framework, it seeks to construct a new body of knowledge. There is a growing need for quantitative approach in soil science, which arises from a general demand for improved economic production and environmental management. Pedometrics can be defined as the development and application of statistical and mathematical methods applicable to data analysis problems in soil science. This book shows how pedometrics can address key soil-related questions from a quantitative point of view. It addresses four main areas which are akin to the problems of conventional pedology: (i) Understanding the pattern of soil distribution in character space – soil classification, (ii) Understanding soil spatial and temporal variation, (iii) Evaluating the utility and quality of soil and ultimately, (iv) Understanding the genesis of soil. This is the first book that address these problems in a coherent quantitate approach.
Book Synopsis Predictive Soil Mapping with R by : Tomislav Hengl
Download or read book Predictive Soil Mapping with R written by Tomislav Hengl and published by Lulu.com. This book was released on 2019-02-16 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Pedotransfer Functions by : Majid Rashidi
Download or read book Pedotransfer Functions written by Majid Rashidi and published by LAP Lambert Academic Publishing. This book was released on 2012 with total page 80 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pedotransfer functions (PTFs) is a tem used in soil science literature, which can be defined as predictive functions of certain soil properties from other more available, easily, routinely or cheaply measured properties. The term pedotransfer function was coined by John Bouma as translating data we have into what we need. The most readily available data come from soil survey, such as soil texture, soil organic carbon, soil EC and soil pH. PTFs add value to this basic information by translating them into estimates of other more laborious and expensively determined soil properties. These functions fill the gap between the available soil data and the properties which are more useful or required for a particular model or quality assessment. PTFs use various regression analysis and data mining techniques to extract rules associating basic soil properties with more difficult to measure properties. Because of the particular difficulty and cost of measurement, the comprehensive research in developing PTFs in this book has been for the estimation of cation exchange capacity, sodium adsorption ratio, exchangeable sodium percentage, total nitrogen and available phosphorous of soil.
Book Synopsis Modeling of Soil Swelling Via Regression and Neural Network Approaches by : Yacoub M. Najjar
Download or read book Modeling of Soil Swelling Via Regression and Neural Network Approaches written by Yacoub M. Najjar and published by . This book was released on 1998 with total page 52 pages. Available in PDF, EPUB and Kindle. Book excerpt: Damage due to swelling soil is very noticeable in a wide spectrum of structures such as roads, buildings, canal linings, landfill liners, etc. In order to control or overcome such damage, swelling soils are commonly stabilized either mechanically or chemically. To evaluate the severity of swelling and to design for the best and most economical stabilization strategy, an accurate assessment of the swell potential is required. This report uses a reasonable-sized database representing 413 soils retrieved from 45 different projects covering 28 counties in Kansas to develop prediction models. Neural network-based models and various statistical models were developed and compared for their prediction accuracy. Additionally, the reliability of model predictions were examined using an additional 101 data sets. In the second phase, predictions obtained using the developed neural network models along with the experimental database were used to produce a reliability (probability of success) factor matrix
Book Synopsis GlobalSoilMap by : Dominique Arrouays
Download or read book GlobalSoilMap written by Dominique Arrouays and published by CRC Press. This book was released on 2014-01-27 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Pedotransfer Functions for Thermal Soil Properties by : Lode Hubrechts
Download or read book Pedotransfer Functions for Thermal Soil Properties written by Lode Hubrechts and published by . This book was released on 1996 with total page 84 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Optimisation of Pedotransfer Function Models for Soil Hydraulic Properties Using an Artificial Neural Network Ensemble Method by : Lee Baker
Download or read book Optimisation of Pedotransfer Function Models for Soil Hydraulic Properties Using an Artificial Neural Network Ensemble Method written by Lee Baker and published by . This book was released on 2005 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis 3D Advance Mapping of Soil Properties by : Fabio Veronesi
Download or read book 3D Advance Mapping of Soil Properties written by Fabio Veronesi and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Soil is extremely important for providing food, biomass and raw materials, water and nutrient storage; supporting biodiversity and providing foundations for man-made structures. However, its health is threatened by human activities, which can greatly affect the potential of soils to fulfil their functions and, consequently, result in environmental, economic and social damage. These issues require the characterisation of the impact and spatial extent of the problems. This can be achieved through the creation of detailed and comprehensive soil maps that describe both the spatial and vertical variability of key soil properties. Detailed three-dimensional (3D) digital soil maps can be readily used and embedded into environmental models. Three-dimensional soil mapping is not a new concept. However, only with the recent development of more powerful computers has it become feasible to undertake such data processing. Common techniques to estimate soil properties in the three-dimensional space include geostatistical interpolation, or a combination of depth functions and geostatistics. However, these two methods are both partially flawed. Geostatistical interpolation and kriging in particular, estimate soil properties in unsampled locations using a weighted average of the nearby observations. In order to produce the best possible estimate, this form of interpolation minimises the variance of each weighted average, thus decreasing the standard deviation of the estimates, compared to the soil observations. This appears as a smoothing effect on the data and, as a consequence, kriging interpolation is not reliable when the dataset is not sampled with a sampling designs optimised for geostatistics. Depth function approaches, as they are generally applied in literature, implement a spline regression of the soil profile data that aims to better describe the changes of the soil properties with depth. Subsequently, the spline is resampled at determined depths and, for each of these depths, a bi-dimensional (2D) geostatistical interpolation is performed. Consequently, the 3D soil model is a combination of a series of bi-dimensional slices. This approach can effectively decrease or eliminate any smoothing issues, but the way in which the model is created, by combining several 2D horizontal slices, can potentially lead to erroneous estimations. The fact that the geostatistical interpolation is performed in 2D implies that an unsampled location is estimated only by considering values at the same depth, thus excluding the vertical variability from the mapping, and potentially undermining the accuracy of the method. For these reasons, the literature review identified a clear need for developing, a new method for accurately estimating soil properties in 3D - the target of this research, The method studied in this thesis explores the concept of soil specific depth functions, which are simple mathematical equations, chosen for their ability to describe the general profile pattern of a soil dataset. This way, fitting the depth function to a particular sample becomes a diagnostic tool. If the pattern shown in a particular soil profile is dissimilar to the average pattern described by the depth function, it means that in that region there are localised changes in the soil profiles, and these can be identified from the goodness of fit of the function. This way, areas where soil properties have a homogeneous profile pattern can be easily identified and the depth function can be changed accordingly. The application of this new mapping technique is based on the geostatistical interpolation of the depth function coefficients across the study area. Subsequently, the equation is solved for each interpolated location to create a 3D lattice of soil properties estimations. For this way of mapping, this new methodology was denoted as top-down mapping method. The methodology was assessed through three case studies, where the top-down mapping method was developed, tested, and validated. Three datasets of diverse soil properties and at different spatial extents were selected. The results were validated primarily using cross-validation and, when possible, by comparing the estimates with independently sampled datasets (independent validation). In addition, the results were compared with estimates obtained using established literature methods, such as 3D kriging interpolation and the spline approach, in order to define some basic rule of application. The results indicate that the top-down mapping method can be used in circumstances where the soil profiles present a pattern that can be described by a function with maximum three coefficients. If this condition is met, as it was with key soil properties during the research, the top-down mapping method can be used for obtaining reliable estimates at different spatial extents.
Book Synopsis Modeling Soil Specific Surface Area with Artificial Neural Networks by : Muhannad Ismeik
Download or read book Modeling Soil Specific Surface Area with Artificial Neural Networks written by Muhannad Ismeik and published by . This book was released on 2014 with total page 12 pages. Available in PDF, EPUB and Kindle. Book excerpt: This study presents artificial neural network (ANN) models to estimate the specific surface area of fine-grained soils as an alternative to sophisticated laboratory procedures. Geotechnical properties of 206 soils were measured experimentally based on ASTM standards. Soil input parameters used in database development were particle size at 10 %, 30 %, and 60 % finer, coefficient of curvature, coefficient of uniformity, percentage of silts and clays, percentage of soil passing sieve No. 200, fineness modulus, liquid limit, plastic limit, plasticity index, and activity. This data was used to train, test, and develop ANN models based on the backpropagation algorithm. Performance of ANN estimation was reliable when comparing the predictions with target outputs. Results indicated that the suggested ANN models exhibited excellent fit of the data as measured by the coefficient of determination and mean-square-error values. Thus, the developed ANN models could be used as a simple prediction tool to estimate soil-specific surface area reliably and efficiently as a rapid inexpensive substitute for cumbersome laboratory techniques.
Book Synopsis Application of Soil Physics in Environmental Analyses by : Wenceslau Geraldes Teixeira
Download or read book Application of Soil Physics in Environmental Analyses written by Wenceslau Geraldes Teixeira and published by Springer. This book was released on 2014-06-30 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: The importance to preserve soil and water have is increasingly recognized. Agricultural practices and ecological trends both affect and are affected by soil physical properties. The more frequency of natural disasters, as landslides and thunderstorms addresses the importance to integrate soil characteristics in predictive models. Soil physics research has grown considerably specially in the use of innovative sensors, soil databases, and modeling techniques have been introduced into soil water relationship and environmental monitoring. Those advances are thoroughly dispersed in articles and conference proceedings In this volume, the authors will bring together the effectiveness of many new field and lab sensors and examine the current state-of-the-art in modeling and data analysis. It also includes innovative approaches and case studies in tropical soils. Future directions in soil physics research are given by key researchers in this discipline.
Book Synopsis Spatial Variability Models and Prediction Analysis of Soil Properties Using Geostatistics by : Tejo Vikash Bheemasetti
Download or read book Spatial Variability Models and Prediction Analysis of Soil Properties Using Geostatistics written by Tejo Vikash Bheemasetti and published by . This book was released on 2015 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: Soils are composed of solid, water and air phases whose characteristics are highly variable. The interactions of these phases in the soil matrix can lead to different types of topographical formations and characteristics. Due to the uncertainty and complex interactions among these phases, studies on soils have always been a challenging problem for engineers. These variations and uncertainties make it necessary for engineers to adopt new techniques and methods to analyze soil properties in order to determine or interpret their generalized behaviors and patterns. Existing research in variability analysis tends to focus on the distribution of the soil properties, reliability-based design, and simulation of random fields. Despite an increase in the probabilistic and statistical analysis, many challenges remain in incorporating the spatial variability present in the soil properties into prediction analysis. In this research study, a framework was developed using univariate statistics and randomized random variable theory for analyzing the spatially-varied soil properties. The spatial variability present in the soil properties was modeled using the geostatistical tool, Variograms. The variability models were utilized to interpret the soil properties in three different studies in geotechnical engineering, encompassing natural soils, man-made soils, and natural soils rich with chemicals such as sulfates. This research highlights the adaptability of the framework for analyzing the soil properties varying from low-to-high variability.
Book Synopsis Methods in Soil Biology by : Franz Schinner
Download or read book Methods in Soil Biology written by Franz Schinner and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt: In terrestrial ecosystems, soil microorganisms and soil animals are essential for litter degradation, soil formation and the availability of nutrients and trace elements. The measurement of biological soil parameters allows a rapid evaluation of the effects of chemical and physical influences due to pollutants or soil management. This book introduces a number of well proved methods for the analysis of carbon, nitrogen, phosphorus and sulfur cycles. It focuses further on the determination of the number and biomass of microorganisms, algae and animals in the soil. Particular emphasis is placed on the comprehensible and complete description of the experimental procedures.
Book Synopsis Soil Carbon by : Alfred E. Hartemink
Download or read book Soil Carbon written by Alfred E. Hartemink and published by Springer Science & Business Media. This book was released on 2014-04-01 with total page 503 pages. Available in PDF, EPUB and Kindle. Book excerpt: Few topics cut across the soil science discipline wider than research on soil carbon. This book contains 48 chapters that focus on novel and exciting aspects of soil carbon research from all over the world. It includes review papers by global leaders in soil carbon research, and the book ends with a list and discussion of global soil carbon research priorities. Chapters are loosely grouped in four sections: § Soil carbon in space and time § Soil carbon properties and processes § Soil use and carbon management § Soil carbon and the environment A wide variety of topics is included: soil carbon modelling, measurement, monitoring, microbial dynamics, soil carbon management and 12 chapters focus on national or regional soil carbon stock assessments. The book provides up-to-date information for researchers interested in soil carbon in relation to climate change and to researchers that are interested in soil carbon for the maintenance of soil quality and fertility. Papers in this book were presented at the IUSS Global Soil C Conference that was held at the University of Wisconsin-Madison, USA.
Author :Raphael A. Viscarra Rossel Publisher :Springer Science & Business Media ISBN 13 :9048188598 Total Pages :440 pages Book Rating :4.0/5 (481 download)
Book Synopsis Proximal Soil Sensing by : Raphael A. Viscarra Rossel
Download or read book Proximal Soil Sensing written by Raphael A. Viscarra Rossel and published by Springer Science & Business Media. This book was released on 2010-07-25 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
