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Author: Tal Svoray
Publisher: Springer Nature
ISBN: 3030915360
Category : Nature
Languages : en
Pages : 364
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Book Description
Degradation of agricultural catchments due to water erosion is a major environmental threat at the global scale, with long-lasting destructive consequences valued at tens of billions of dollars per annum. Eroded soils lead to reduced crop yields and deprived agroecosystem’s functioning through, for example, decreased water holding capacity, poor aeration, scarce microbial activity, and loose soil structure. This can result in reduced carbon sequestration, limited nutrient cycling, contamination of water bodies due to eutrophication, low protection from floods and poor attention restoration—consequences that go far beyond the commonly modelled soil loss and deposition budgets. This book demonstrates, using data from the Harod catchment in northern Israel, how cutting-edge geoinformatics, data science methodologies and soil health indicators can be used to measure, predict, and regulate these major environmental hazards. It shows how these approaches are used to quantify—in time and space—the effect of water erosion not only on the soil layer, soil minerals, and soil loss, but also on the wide-range of services that agricultural ecosystems might supply for the benefit and well-being of humans. The algorithms described in this book play a major role in this paradigm shift and they include, for example, extraction of photogrammetric DEMs from drone's data, advanced drainage structure calculations, fuzzy process-based modelling and spatial topographic threshold computations, multicriteria analyses and expert-based systems development using analytic hierarchal processes, innovative data-mining and machine learning tools, autocorrelation and interpolation of soil health, physically-based soil evolution models, spatial decision support systems and many more.
Author: Tal Svoray
Publisher: Springer Nature
ISBN: 3030915360
Category : Nature
Languages : en
Pages : 364
Get Book Here
Book Description
Degradation of agricultural catchments due to water erosion is a major environmental threat at the global scale, with long-lasting destructive consequences valued at tens of billions of dollars per annum. Eroded soils lead to reduced crop yields and deprived agroecosystem’s functioning through, for example, decreased water holding capacity, poor aeration, scarce microbial activity, and loose soil structure. This can result in reduced carbon sequestration, limited nutrient cycling, contamination of water bodies due to eutrophication, low protection from floods and poor attention restoration—consequences that go far beyond the commonly modelled soil loss and deposition budgets. This book demonstrates, using data from the Harod catchment in northern Israel, how cutting-edge geoinformatics, data science methodologies and soil health indicators can be used to measure, predict, and regulate these major environmental hazards. It shows how these approaches are used to quantify—in time and space—the effect of water erosion not only on the soil layer, soil minerals, and soil loss, but also on the wide-range of services that agricultural ecosystems might supply for the benefit and well-being of humans. The algorithms described in this book play a major role in this paradigm shift and they include, for example, extraction of photogrammetric DEMs from drone's data, advanced drainage structure calculations, fuzzy process-based modelling and spatial topographic threshold computations, multicriteria analyses and expert-based systems development using analytic hierarchal processes, innovative data-mining and machine learning tools, autocorrelation and interpolation of soil health, physically-based soil evolution models, spatial decision support systems and many more.
Author: Tal Svoray
Publisher:
ISBN: 9783030915377
Category :
Languages : en
Pages : 0
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Book Description
Degradation of agricultural catchments due to water erosion is a major environmental threat at the global scale, with long-lasting destructive consequences valued at tens of billions of dollars per annum. Eroded soils lead to reduced crop yields and deprived agroecosystem's functioning through, for example, decreased water holding capacity, poor aeration, scarce microbial activity, and loose soil structure. This can result in reduced carbon sequestration, limited nutrient cycling, contamination of water bodies due to eutrophication, low protection from floods and poor attention restoration-consequences that go far beyond the commonly modelled soil loss and deposition budgets. This book demonstrates, using data from the Harod catchment in northern Israel, how cutting-edge geoinformatics, data science methodologies and soil health indicators can be used to measure, predict, and regulate these major environmental hazards. It shows how these approaches are used to quantify-in time and space-the effect of water erosion not only on the soil layer, soil minerals, and soil loss, but also on the wide-range of services that agricultural ecosystems might supply for the benefit and well-being of humans. The algorithms described in this book play a major role in this paradigm shift and they include, for example, extraction of photogrammetric DEMs from drone's data, advanced drainage structure calculations, fuzzy process-based modelling and spatial topographic threshold computations, multicriteria analyses and expert-based systems development using analytic hierarchal processes, innovative data-mining and machine learning tools, autocorrelation and interpolation of soil health, physically-based soil evolution models, spatial decision support systems and many more.
Author: Ayad M. Fadhil Al-Quraishi
Publisher: Springer Nature
ISBN: 3031583159
Category :
Languages : en
Pages : 319
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Book Description
Author: Gouri Sankar Bhunia
Publisher: Springer Nature
ISBN: 3030775720
Category : Science
Languages : en
Pages : 676
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Book Description
This book explores state-of-art techniques based on open-source software and statistical programming and modelling in modern geospatial applications, specifically focusing on recent trends in data mining techniques and robust modelling in Geomorphological, Hydrological, Bio-physical and Social activities. The book is organized into physical, mountainous, coastal, riverine, forest, urban and biological activities, with each chapter providing a review of the current knowledge in the focus area, and evaluating where future efforts should be directed. The text compiles a collection of recent developments and rigorous applications of Geospatial computational intelligence (e.g., artificial neural network, spatial interpolation, physical and environmental modelling and machine learning algorithms etc) in geomorphic processes from a team of expert contributors. The authors address the wide range of challenges and uncertainties in the study of earth system dynamics due to climate change, and complex anthropogenic interferences where spatial modelling may be applied in the risk assessment of vulnerable geomorphological landscapes. The book will act as a guide to find recent advancements in geospatial artificial intelligence techniques and its application to natural and social hazards. This information will be helpful for students, researchers, policy makers, environmentalists, planners involved in natural hazard and disaster management, NGOs, and government organizations.
Author: Sulochana Shekhar
Publisher: CRC Press
ISBN: 1000910873
Category : Technology & Engineering
Languages : en
Pages : 377
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Book Description
This book provides compelling new insights into how cities are attempting to address sustainability challenges via major applications of geospatial technology in an urban area. It elucidates the role of geospatial techniques such as GIS and GNSS, including remote sensing in urban management, and covers the theory and practice of urban sustainability transitions. It provides case studies and contextualised tools for the governance of urban transitions to present various applications of geospatial techniques in an urban environment. Features: Covers hands-on approaches on quantitative measures of urban analytics Focuses on sustainability issues in urban planning and development Includes pertinent global case studies for implementation of urban planning practices Reviews the inter-relationship between smart cities and sustainable development This book is aimed at graduate students, researchers, and professionals in GIS, urban sciences, and geography.
Author: Aznarul Islam
Publisher: Springer Nature
ISBN: 3031111818
Category : Science
Languages : en
Pages : 495
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Book Description
This book addresses the various factors affecting fluvial systems, the processes governing them, system responses arising from human-nature interventions, and geospatial and geo-ecological modeling to understand system behaviour better and restore degraded ecosystems around the globe. Thanks to their hydrological and agro-ecological advantages, humans have settled along riverbanks since the dawn of civilization. Thus, the ancient "ecumene" (settlements) were located near major rivers worldwide. This legacy of river-based civilizations continues to this day in many forms. However, in the course of the 'Anthropocene' era, countless fluvial systems have been altered by human interventions in the form of large-scale dams and barrages, changes in land use and land cover, road-stream crossings, mining of sand and gravel, mushrooming of brickfield, expansion of modern agriculture, industrial growth, and urbanization. Thus, the present-day development pattern threatens fluvial systems, especially riverine morphology and ecosystems. In brief, human-induced morphological changes, water pollution, eutrophication, and related damages to aquatic organisms are the major threats to fluvial systems. Thus, maintaining the 'environmental flow' of the world's major rivers to preserve the proper functioning of riverine ecosystems and promote sustainable development is a global challenge.
Author: Liping Di
Publisher: Springer Nature
ISBN: 3030663876
Category : Science
Languages : en
Pages : 419
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Book Description
This volume collects and presents the fundamentals, tools, and processes of utilizing geospatial information technologies to process remotely sensed data for use in agricultural monitoring and management. The issues related to handling digital agro-geoinformation, such as collecting (including field visits and remote sensing), processing, storing, archiving, preservation, retrieving, transmitting, accessing, visualization, analyzing, synthesizing, presenting, and disseminating agro-geoinformation have never before been systematically documented in one volume. The book is edited by International Conference on Agro-Geoinformatics organizers Dr. Liping Di (George Mason University), who coined the term “Agro-Geoinformatics” in 2012, and Dr. Berk Üstündağ (Istanbul Technical University) and are uniquely positioned to curate and edit this foundational text. The book is composed of eighteen chapters that can each stand alone but also build on each other to give the reader a comprehensive understanding of agro-geoinformatics and what the tools and processes that compose the field can accomplish. Topics covered include land parcel identification, image processing in agricultural observation systems, databasing and managing agricultural data, crop status monitoring, moisture and evapotranspiration assessment, flood damage monitoring, agricultural decision support systems and more.
Author:
Publisher:
ISBN:
Category : Data mining
Languages : en
Pages : 722
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Book Description
Author: Nayan Sharma
Publisher: Springer
ISBN: 8132219678
Category : Science
Languages : en
Pages : 81
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Book Description
The central theme of this book is focused on the analyses and the results which emerged from the international research project BRAHMATWINN sponsored by European Commission (EC) and conducted during 2006 – 2009. The book highlights the achievements of BRAHMATWINN to carry out a harmonised integrated water resources management (IWRM) approach as addressed by the European Water Initiative (EWI) in headwater river systems of alpine mountain massifs. The latter are already impacted from climate change, and the BRAHMATWINN project established transfer of professional IWRM expertise, approaches and tools based on case studies carried out in twinning European and Asian river basins. The project addresses all important IWRM issues in a balanced way, including conflict resolution in the trans- boundary Danube and Brahmaputra River Basins in Europe and South Asia respectively. This book will be useful to researchers, professionals, managers and decision makers associated with study and application of sustainable integrated land and water resources management (ILWRM) in the backdrop of climate change.
Author: Gouri Sankar Bhunia
Publisher: Elsevier
ISBN: 0128238968
Category : Technology & Engineering
Languages : en
Pages : 786
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Book Description
Land Reclamation and Restoration Strategies for Sustainable Development: Geospatial Technology Based Approach, Volume Ten covers spatial mapping, modeling and risk assessment in land hazards issues and sustainable management. Each section in the book explores state-of-art techniques using commercial, open source and statistical software for mapping and modeling, along with case studies that illustrate modern image processing techniques and computational algorithms. A special focus is given on recent trends in data mining techniques. This book will be of particular interest to students, researchers and professionals in the fields of earth science, applied geography, and those in the environmental sciences. - Demonstrates a geoinformatics approach to data mining techniques, data analysis, modeling, risk assessment, visualization, and management strategies in different aspects of land use, hazards and reclamation - Covers land contamination problems, including effects on agriculture, forestry, and coastal and wetland areas - Suggests specific techniques of remediation - Explores state-of-art techniques based on commercial, open source, and statistical software for mapping and modeling using modern image processing techniques and computational algorithm
