This book comprises the proceedings of the 26th International Conference on Hydraulics, Water Resources and Coastal Engineering (HYDRO 2021) focusing on broad spectrum of emerging opportunities and challenges in the field of soft computing and geospatial techniques in water resources engineering. It covers a range of topics, including, but not limited to, satellite derived data for hydrologic applications, GIS and RS applications in water resources management, rainfall and streamflow prediction, hydro-informatics, data driven and artificial intelligent based hydrological modelling, optimization of water resources systems, etc. Presenting recent advances in the form of illustrations, tables, and text, it offers readers insights for their own research. In addition, the book addresses fundamental concepts and studies in the field of Soft Computing and Geospatial Techniques in Water Resources Engineering, making it a valuable resource for both beginners and researchers wanting to further their understanding of hydraulics, water resources and coastal engineering.
The digital revolution and the explosive growth of the internet have helped the collection of huge amounts of useful data of diverse characteristics, which is a valuable and intangible asset in any business of today. This book treats the new, emerging discipline of soft computing, which exploits this data through tolerance for imprecision and uncertainty to achieve solutions for complex problems. Soft computing methodologies include fuzzy sets, neural networks, genetic algorithms, Bayesian belief networks and rough sets, which are explored in detail through case studies and in-depth research. The advent of soft computing marks a significant paradigm shift in computing, with a wide range of applications and techniques which are presented and discussed in the chapters of this book.
Geoinformatics for Geosciences: Advanced Geospatial Analysis using RS, GIS and Soft Computing is a comprehensive guide to the methodologies and techniques that can be used in Earth observation data assessments, geospatial analysis, and soft computing in the geosciences. The book covers a variety of spatiotemporal problems and topics in the areas of the environment, geohazards, urban analysis, health, pollution, climate change, resources and geomorphology, among others. Sections cover environmental and climate issues, analysis of geomorphological data, hazard and disaster impacts, natural and human resources, the influence of environmental conditions, geohazards, climate change, geomorphological changes, etc., and socioeconomic challenges. Detailing up-to-date techniques in geoinformatics, this book offers in-depth, up-to-date methodologies for researchers and academics to understand how contemporary data can be combined with innovative techniques and tools in order to address challenges in the geosciences. - Focuses on a variety of interdisciplinary applications using Earth observation data, GIS, and soft computing techniques to address various challenges in the geosciences - Presents both innovative techniques and specific features of the practices described, thus allowing readers to choose the most appropriate method to apply to their specific problems - Comprehensively details the state-of-the-art methodologies and decision-making tools included to ensure they are easily reproduceable
Having the ability to measure and explore the geographic space that surrounds us provides endless opportunities for us to utilize and interact with the world. As a broad field of study, geospatial research has applications in a variety of fields including military science, environmental science, civil engineering, and space exploration. Geospatial Research: Concepts, Methodologies, Tools, and Applications is a multi-volume publication highlighting critical topics related to geospatial analysis, geographic information systems, and geospatial technologies. Exploring multidisciplinary applications of geographic information systems and technologies in addition to the latest trends and developments in the field, this publication is ideal for academic and government library inclusion, as well as for reference by data scientists, engineers, government agencies, researchers, and graduate-level students in GIS programs.
Technological advancements have changed the way we think of traditional urban and spatial planning. The inclusion of conventional elements with modern technologies is allowing this field to advance at a rapid pace. Geospatial Technologies in Urban System Development: Emerging Research and Opportunities is a pivotal reference source for the latest research findings on the different tools and techniques ranging from mathematical sciences to spatial sciences which can be effective in unveiling the complexity of an urban system. Featuring extensive coverage on relevant areas such as urban traffic, remote sensing, and geographic information systems, this publication is an ideal resource for academics, researchers, graduate-level students, professionals, and policymakers in urban economy, regional planning, and information science disciplines.
This book is a must-have for anyone interested in leveraging geospatial technology, as it covers a wide range of applications and offers valuable insights into the mapping, visualization, and analysis of natural resource planning using GIS, remote sensing, and GPS. Geospatial technology (GT) is a combination of geographic information systems (GIS), remote sensing (RS), and the global position system (GPS) for the mapping, visualization, and analysis of natural resource planning. Nowadays, GIS is widely used throughout the globe for a wide range of applications. GIS is a system that combines locations, geography, hardware, software, statistics, planning, and digital mapping. GIS is a system in which one can store, manipulate, analyze, and visualize or display spatial data. The basic components of GIS are hardware, software, data, input, and manpower. One can develop spatial, temporal, and dynamic models using GIS, which may help in effective decision-making tools. Geospatial information is a computer programme that collects, stores, verifies, and presents information on locations on the surface of the Earth. Geographical information systems play a key role in sustainable development. Geospatial technology combines traditional database operations like query and statistical analysis with the specific graphical and geographic analytical capabilities offered by maps.
This book offers an overview of geospatial technologies in land resources mapping, monitoring and management. It consists of four main sections: geospatial technologies - principles and applications; geospatial technologies in land resources mapping; geospatial technologies in land resources monitoring; and geospatial technologies in land resources management. Each part is divided into detailed chapters that include illustrations and tables. The authors, from leading institutes, such as the ICAR-NBSS&LUP, IIT-B, NRSC, ICRISAT, share their experiences and offer case studies to provide advanced insights into the field. It is a valuable resource for the scientific and the teaching community, extension scientists at research institutes and agricultural universities/colleges as well as those involved in planning and managing land resources for sustainable agriculture and livelihood security.
This book focuses on the application of geospatial technologies for resource planning and management for the key natural resources, e.g. water, agriculture and forest as well as the decision support system (DSS) for infrastructure development. We have seen in the past four decades that the growing complexities of sustainable management of natural resources management have been very challenging. The book has been written to leverage the current geospatial technologies that integrate the remotely sensed data available from various platforms, the precise locational data providing geospatial intelligence, and the advanced integration tools of Geographical Information Systems (GIS). Geospatial technologies have been used for water resources management employing geomorphological characteristics, analysis of river migration pattern, understanding the large-scale hydrological process, wet land classification and monitoring, analysis of glacial lake outburst flood (GLOF), assessment of environmental flow and soil erosion studies, water quality modelling and assessment and rejuvenation of paleochannels through groundwater recharge. Geospatial technologies have been applied for crop classification and mapping, soil moisture determination using RISAT-1 C-band and PALSAR-2 L-band sensors, inventory of horticulture plantations, management of citrus orchards, crop yield forecasting, rice yield estimation, estimation of evapotranspiration and its evaluation against lysimeter and satellite-based evapotranspiration product for India to address the various issues of the agricultural system management. Geospatial technologies have been used for generation of digital elevation model, urban dynamics assessment, mobile GIS application at grass root level planning, cadastral level developmental planning and e-governance applications, system dynamics for sustainable development, micro-level water resources planning, site suitability for sewage treatment plant, traffic density assessment, geographical indications of India, archaeological applications and disasters interventions to elaborate various issues of DSS for infrastructure development and management. Geospatial technologies have been employed for the generation and reconciliation of the notified forest land boundaries, and also the land cover changes analysis within notified forest areas, forest resource assessment, management and monitoring and wildlife conservation and management. This book aims to present high-quality technical case studies representing the recent developments in the “application of geospatial technologies for resource planning and management”. The editors hope that this book will serve as a valuable resource for scientists and researchers to plan and manage land and water resources sustainably.
This book describes recent developments in the modeling of hydro-climatological processes in time and space. The topic brings together a wide range of disciplines, such as climatology, hydrology, geomorphology and ecology, with examples of problems and related modeling approaches. Parsimonious hydro-climatological models hold the potential to simulate the combined effects of rainfall intensity and distribution patterns in the absence of precipitation records for short time intervals (e.g. daily to sub-hourly) and over large areas (e.g. regional to continental). In this book, we show how the principle of parsimony can be followed without sacrificing depth in seeking to understand a variety of landscape and surface processes that include hydrologic phenomena. Geographically speaking, the focus of the book is on Mediterranean environments. In this region, which is characterized by a complex morphology, soil erosion by water is a major cause of landscape degradation and the fragility of ecosystems is abundantly documented. By exploring interactions between erosive storms and land with the help of modeling solutions created at a variety of scales, the book investigates in detail the climatic implications for the Mediterranean landscape in an effort to bridge historical and contemporary research, which makes it unique in its approach. The book provides a valuable resource for environmental scientists, while also providing an important basis for graduate and postgraduate students interested in research on hydrological cycles and environmental changes.
This volume constitutes selected papers presented at the 24th Italian Conference on Geomatics and Geospatial Technologies, ASITA 2021, held as five sessions takind place between 1 and 23 July, 2021. Due to the COVID-19 pandemic the conference was held online. The 28 papers were thoroughly reviewed and selected from 139 submissions. They are organized in topical sections on remote sensing applications; geomatics and natural hazards; geomatics for cultural heritage and natural resources; sensors performance and data processing; geomatics and land management.
