Environmental Soil-Landscape Modeling: Geographic Information Technologies and Pedometrics presents the latest methodological developments in soil-landscape modeling. It analyzes many recently developed measurement tools, and explains computer-related and pedometric techniques that are invaluable in the modeling process. This volume provi
Section 1. History and trends in soil-landscape modeling. Soil survey and soil classification. A historical perspective on soil-landscape modeling. Geomorphological soil-landscape models. Section 2. Collection of soil-landscape datsets. Topographic mapping. Section 3. pedometrics. Digital soil-terrain modeling: the predictive potential and uncertainty. Fuzzy logic models. Modeling spatial variations of soil as random functions. Stochastic simulation of soil variations. Pedometrical techniques for soil texture mapping at different scales. Analysis of complex soil variation using wavelets. Three-dimensional reconstruction and scientific visualization of soil-landscapes. On spatial lattice modeling of soil properties. Multiscale soil-landscape process modeling. Space-time geostatistics.
Landscapes are characterized by a wide variation, both spatially and temporally, of tolerance and response to natural processes and anthropogenic stress. These tolerances and responses can be analyzed through individual landscape parameters, such as soils, vegetation, water, etc., or holistically through ecosystem or watershed studies. However, such approaches are both time consuming and costly. Soil erosion and landscape evolution modeling provide a simulation environment in which both the short- and long-term consequences of land-use activities and alternative land use strategies can be compared and evaluated. Such models provide the foundation for the development of land management decision support systems. Landscape Erosion and Evolution Modeling is a state-of-the-art, interdisciplinary volume addressing the broad theme of soil erosion and landscape evolution modeling from different philosophical and technical approaches, ranging from those developed from considerations of first-principle soil/water physics and mechanics to those developed empirically according to sets of behavioral or empirical rules deriving from field observations and measurements. The validation and calibration of models through field studies is also included. This volume will be essential reading for researchers in earth, environmental and ecosystem sciences, hydrology, civil engineering, forestry, soil science, agriculture and climate change studies. In addition, it will have direct relevance to the public and private land management communities.
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
A digital elevation model (DEM) is a digital representation of ground surface topography or terrain. It is also widely known as a digital terrain model (DTM). A DEM can be represented as a raster (a grid of squares) or as a vector based triangular irregular network (TIN). DEMs are commonly built using remote sensing techniques, but they may also be built from land surveying. DEMs are used often in geographic information systems, and are the most common basis for digitally-produced relief maps. The terrain surface can be described as compromising of two different elements; random and systematic. The random (stochastic) elements are the continuous surfaces with continuously varying relief. It would take an endless number of points to describe exactly the random terrain shapes, but these can be described in practice with a network of point. It is usual to use a network that creates sloping triangles or regular quadrants. This book examines how the methods and data sources used to generate DEMs and calculate land surface parameters have changed over the past 25 years. The primary goal is to describe the state-of-the-art for a typical digital terrain modeling workflow that starts with data capture, continues with data preprocessing and DEM generation, and concludes with the calculation of one or more primary and secondary land surface parameters. Taken as a whole, this book covers the basic theory behind the methods, the instrumentation, analysis and interpretation that are embedded in the modern digital terrain modeling workflow, the strengths and weaknesses of the various methods that the terrain analyst must choose among, typical applications of the results emanating from these terrain modeling workflows, and future directions. This book is intended for researchers and practitioners who wish to use DEMs, land surface parameters, land surface objects and landforms in environmental projects. The book will also be valuable as a reference text for environmental scientists who are specialists in related fields and wish to integrate these kinds of digital terrain workflows and outputs into their own specialized work environments.
This publication is the first book on the development and application of digital terrain modeling for regional planning and policy support. It is a compilation of research results by international research groups at the European Commission’s Joint Research Centre, providing scientific support to the development and implementation of EU environmental policy. This practice-oriented book is recommended reading for practising environmental modelers and GIS experts working on regional planning and policy support applications.
Completely revised and updated, incorporating almost a decade's worth of developments in this field, Environmental Soil Science, Third Edition, explores the entire reach of the subject, beginning with soil properties and reactions and moving on to their relationship to environmental properties and reactions. Keeping the organization and writing sty
This volume is for environmental researchers and government policy makers who are required to monitor environmental quality for their environmental investigators and remediation plans. It uses concepts and applications to aid in the exchange of scientific information across all the environmental science disciplines ranging from geochemistry to hydrogeology and ecology to biotechnology. Focusing on issues such as metals, organics and nutrient contamination of water and soils, and interactions between soil-water-plants-chemicals, the book synthesizes the latest findings in this rapidly-developing, multi-disciplinary field. Cutting-edge environmental analytical methods are also presented, making this a must-have for professionals tasked with monitoring environmental quality. These concepts and applications help in decision making and problem solving in a single resource.*Integrative approach promotes the exchange of scientific information among different disciplines*New concepts and case studies make the text unique among existing resources*Tremendous practical value in environmental quality and remediation with an emphasis on human health and ecological risk assessment
In any complete investigation of terrestrial ecosystems, rocks and soils must be considered. Soils are essential resources, providing water and nutrients for vascular plants, and mitigating the flow of water from the land. In addition, soil diversity is critical for biotic diversity. While there are many references on the agricultural perspective o
This book provides a holistic guide to the construction of numerical models to explain the co-evolution of landforms, soils, vegetation and tectonics. This volume demonstrates how physical processes interact to influence landform evolution, and explains the science behind the physical processes, as well as the mechanics of how to solve them.