Advanced tools for studying soil erosion processes : erosion modelling, soil redistribution Rates, advanced analysis, and artificial intelligence /

Advanced Tools for Studying Soil Erosion Processes: Erosion Modelling, Soil Redistribution Rates, Advanced Analysis, and Artificial Intelligence presents the most recent technologies and methods in quantifying soil erosion, focusing on quantitative geomorphological assessment, soil erosion interacti...

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Další autoři: Pourghasemi, Hamid Reza (Editor), Kariminejad, Narges (Editor)
Médium: Elektronický zdroj E-kniha
Jazyk:angličtina
Vydáno: [Amsterdam] : Elsevier, 2024.
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On-line přístup:ScienceDirect
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245 0 0 |a Advanced tools for studying soil erosion processes :  |b erosion modelling, soil redistribution Rates, advanced analysis, and artificial intelligence /  |c edited by Hamid Reza Pourghasemi and Narges Kariminejad. 
264 1 |a [Amsterdam] :  |b Elsevier,  |c 2024. 
300 |a 1 online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
520 |a Advanced Tools for Studying Soil Erosion Processes: Erosion Modelling, Soil Redistribution Rates, Advanced Analysis, and Artificial Intelligence presents the most recent technologies and methods in quantifying soil erosion, focusing on quantitative geomorphological assessment, soil erosion interaction with natural and man-made hazards using new methods, and technologies that employ GIS, remote sensing (RS), spatial modeling, and machine learning tools as an effective plan for decision-makers and land users. Organized into three parts: 1) Erosion processes and impacts, 2) Advanced computing techniques to quantify soil erosion, and 3) Methods of Soil Erosion, this book will be an invaluable source material for researchers, academicians, graduate and undergraduate students, and professionals in the field of geology, specifically focused on geographic information systems and remote sensing. 
500 |a Includes index. 
588 0 |a Online resource; title from PDF title page (ScienceDirect, viewed September 3, 2024). 
505 0 |a Front Cover -- ADVANCED TOOLS FOR STUDYING SOIL EROSION PROCESSES -- ADVANCED TOOLS FOR STUDYING SOIL EROSION PROCESSES: EROSION MODELLING, SOIL REDISTRIBUTION RATES, ADVANCED ANALYSIS, AND ARTIFICIAL INTELLIGENCE -- Copyright -- Dedication -- Contents -- Contributors -- Preface -- Part I: Erosional processes and impacts -- Part II: Advanced computing techniques to quantify soil erosion -- Part III: Methods of soil analysis -- Acknowledgments -- I -- Erosional processes and impacts -- 1 -- Mapping land subsidence using time-series analysis of Sentinel-1 InSAR in various land use areas 
505 8 |a 1. Introduction -- 2. Material and methods -- 2.1 Study area -- 2.2 Methodology -- 2.2.1 InSAR data and SBAS processing -- 2.2.2 Land use map -- 3. Result and discussion -- 4. Conclusion -- Acknowledgments -- References -- 2 -- Use of hydrological models in erosion and sediment studies: a review -- 1. Introduction -- 2. Materials and methods -- 3. Results -- 4. Discussion -- 4.1 Soil and water assessment tool -- 4.2 Limburg soil erosion model -- 4.3 Parameter efficient distributed -- 4.4 Spatial tools for river basins, environment and analysis of management options 
505 8 |a 4.5 Radial basis neural network -- 4.6 SHETRAN -- 5. Conclusion -- References -- Further reading -- 3 -- Comprehensive introduction to Digital Elevation Models, as a key dataset in soil erosion mapping -- 1. Introduction -- 1.1 Earth modeling -- 1.2 Digital elevation model -- 1.3 Comparison of DEMs, DSMs, DTMs, and DFMs -- 1.4 The role of DEMs in soil erosion mapping -- 2. A survey of techniques for generating DEMs -- 2.1 Ground-based surveying -- 2.2 Airborne LiDAR -- 2.3 UAV photogrammetry -- 2.4 Airborne photogrammetry -- 2.5 Spaceborne photogrammetry 
505 8 |a 2.6 Interferometric synthetic aperture radar -- 2.7 Radargrammetry -- 2.8 Global Digital Elevation Models -- 2.9 DEM quality aspects -- 2.10 DEM vertical accuracy assessment metrics -- 3. A case study of GDEMs evaluation using spaceborne LiDAR -- 3.1 Introduction -- 3.2 Study area and dataset -- 3.3 Methodology -- 3.4 Results -- 3.5 Discussion -- 4. Conclusion -- References -- 4 -- Soil pipe pattern dynamics and illustration of the erosional landforms from a geomorphological perspective -- 1. Introduction -- 2. Study area -- 3. Materials and methods 
505 8 |a 3.1 Field visit to the watersheds in the eastern Razavi Khorasan Province and examination of gully, tunnel, and sinkhole erosio ... -- 3.2 Field survey of gully, tunnel, and sinkhole erosions and drone imaging of the study areas -- 3.3 Laboratory procedures to determine the physical, chemical, and biological properties of the soil -- 3.4 Analysis of spatial patterns and distribution manner of tunnel erosions and pits in study areas -- 4. Results -- 5. Discussion -- 6. Conclusion -- References 
505 8 |a 5 -- Extraction of water bodies using machine learning and water body indices in an arid region, comparison, and app ... 
650 0 |a Soil erosion. 
650 0 |a Soil erosion  |x Simulation methods. 
650 6 |a Sols  |x Érosion.  |0 (CaQQLa)201-0051976 
650 6 |a Sols  |0 (CaQQLa)201-0051976  |x Érosion  |0 (CaQQLa)201-0051976  |x Méthodes de simulation.  |0 (CaQQLa)201-0379084 
650 7 |a Soil erosion  |2 fast  |0 (OCoLC)fst01124377 
650 7 |a Soil erosion  |x Simulation methods  |2 fast  |0 (OCoLC)fst01124399 
655 0 |a Electronic books. 
700 1 |a Pourghasemi, Hamid Reza,  |e editor. 
700 1 |a Kariminejad, Narges,  |e editor. 
776 0 8 |i Print version :  |z 9780443222627 
856 4 0 |3 ScienceDirect  |u https://www.sciencedirect.com/science/book/9780443222627