Remote Sensing and Artificial Intelligence in Inland Waters Monitoring

Remote Sensing and Artificial Intelligence in Inland Waters Monitoring PDF Author: Miro Govedarica
Publisher:
ISBN: 9783725805730
Category : Computers
Languages : en
Pages : 0

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Book Description
Water, vital for life, confronts unprecedented challenges in aquatic ecosystems due to factors like scarcity and pollution. Monitoring at local to global scales is vital for effective management, aligning with sustainable development goals. To address these challenges, the integration of remote sensing technologies with in situ data proves invaluable in unveiling the spatial distribution and dynamic variations in water quality and quantity. Leveraging the advantages of frequent data acquisition, expansive coverage, and diverse sensor types, coupled with the power of artificial intelligence and cloud computing, enables a profound understanding of intricate changes within aquatic environments. This Special Issue is dedicated to showcasing papers that elucidate strategies for enhancing inland water monitoring, emphasizing precision, frequency, and the augmentation of user value derived from remote sensing data. Specifically, the issue aims to spotlight ongoing research leveraging satellite imagery, UAV data, in situ instrumentation, GeoAI, as well as deep and machine learning algorithms. Additionally, cloud computing and big data processing applications are explored to comprehensively comprehend the existing state and proactively mitigate the deterioration of water resources. Encompassing a broad spectrum, topics include remote sensing monitoring of water quality parameters, artificial intelligence, GeoAI applications and time-series analysis techniques.

Bio-optical Modeling and Remote Sensing of Inland Waters

Bio-optical Modeling and Remote Sensing of Inland Waters PDF Author: Deepak R. Mishra
Publisher: Elsevier
ISBN: 0128046546
Category : Science
Languages : en
Pages : 334

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Book Description
Bio-optical Modeling and Remote Sensing of Inland Waters presents the latest developments, state-of-the-art, and future perspectives of bio-optical modeling for each optically active component of inland waters, providing a broad range of applications of water quality monitoring using remote sensing. Rather than discussing optical radiometry theories, the authors explore the applications of these theories to inland aquatic environments. The book not only covers applications, but also discusses new possibilities, making the bio-optical theories operational, a concept that is of great interest to both government and private sector organizations. In addition, it addresses not only the physical theory that makes bio-optical modeling possible, but also the implementation and applications of bio-optical modeling in inland waters. Early chapters introduce the concepts of bio-optical modeling and the classification of bio-optical models and satellite capabilities both in existence and in development. Later chapters target specific optically active components (OACs) for inland waters and present the current status and future direction of bio-optical modeling for the OACs. Concluding sections provide an overview of a governance strategy for global monitoring of inland waters based on earth observation and bio-optical modeling. - Presents comprehensive chapters that each target a different optically active component of inland waters - Contains contributions from respected and active professionals in the field - Presents applications of bio-optical modeling theories that are applicable to researchers, professionals, and government agencies

Artificial Intelligence Techniques for Sustainable Development

Artificial Intelligence Techniques for Sustainable Development PDF Author: Deepika Ghai
Publisher: CRC Press
ISBN: 1040226140
Category : Technology & Engineering
Languages : en
Pages : 463

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Book Description
How can the efficiency of the algorithms be increased with a lesser number of computations as well as optimized with the resources for cost-effective solutions? Artificial Intelligence Techniques for Sustainable Development provides an answer. Further, it discusses important concepts such as green communication network design and implementation for the Internet of Things ecosystem, green computing in network security, and artificial intelligence models for remote sensing applications. Key features: Presents the latest tools and techniques in developing solutions intended for resource utilization, energy efficiency, and human and environmental health Highlights the advancement in electronics and communication technology for green applications Covers smart energy harvesting/charging and power management techniques using machine learning Explains green communication network design and implementation for the Internet of Things ecosystem, and green computing in network security Illustrates prediction models for carbon emission and sequestration, environmental health, and climate change The book is aimed at senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics, and communications engineering, computer science and engineering, environmental engineering, and biomedical engineering.

Aquatic Ecosystems Monitoring

Aquatic Ecosystems Monitoring PDF Author: Prem Chandra Pandey
Publisher: CRC Press
ISBN: 1040154107
Category : Science
Languages : en
Pages : 341

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Book Description
This book collates traditional and modern applications of remote sensing in aquatic ecosystem monitoring. It covers conventional assessment methods like sampling, surveying, macroinvertebrates, and chlorophyll estimation for aquatic ecosystem health assessment. Advanced remote sensing technology provides timely spectral information for quantitative and qualitative assessment of water quality, shoreline changes, coral bleaching, and vegetation monitoring. The book covers different types of aquatic ecosystems like wetlands, rivers, lakes, saline, and the brackish lake. It also: Reviews the latest applications of remote sensing in the monitoring and assessment of aquatic ecosystems Includes traditional methods like cartography, sampling, surveying, phytoplankton assessment, river interlinking, and chlorophyll estimation Discusses the application of multi-source data and machine learning in monitoring aquatic ecosystems Discusses aquatic ecosystem management, services, threats, and sustainability Explores challenges, opportunities, and prospects of future Earth observation applications for aquatic ecosystem monitoring The book discusses space-borne, airborne, and drone geospatial data. The parts broadly cover aquatic ecosystem monitoring, vegetation management, advanced modeling practices, and challenges. It is meant for scientists, professionals, and policymakers working in environmental sciences, remote sensing, and geology.

Water Quality Assessments

Water Quality Assessments PDF Author: Deborah V Chapman
Publisher: CRC Press
ISBN: 0419215905
Category : Science
Languages : en
Pages : 658

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Book Description
This guidebook, now thoroughly updated and revised in its second edition, gives comprehensive advice on the designing and setting up of monitoring programmes for the purpose of providing valid data for water quality assessments in all types of freshwater bodies. It is clearly and concisely written in order to provide the essential information for all agencies and individuals responsible for the water quality.

Artificial Intelligence Methods in the Environmental Sciences

Artificial Intelligence Methods in the Environmental Sciences PDF Author: Sue Ellen Haupt
Publisher: Springer Science & Business Media
ISBN: 1402091192
Category : Science
Languages : en
Pages : 418

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Book Description
How can environmental scientists and engineers use the increasing amount of available data to enhance our understanding of planet Earth, its systems and processes? This book describes various potential approaches based on artificial intelligence (AI) techniques, including neural networks, decision trees, genetic algorithms and fuzzy logic. Part I contains a series of tutorials describing the methods and the important considerations in applying them. In Part II, many practical examples illustrate the power of these techniques on actual environmental problems. International experts bring to life ways to apply AI to problems in the environmental sciences. While one culture entwines ideas with a thread, another links them with a red line. Thus, a “red thread“ ties the book together, weaving a tapestry that pictures the ‘natural’ data-driven AI methods in the light of the more traditional modeling techniques, and demonstrating the power of these data-based methods.

Advanced Tools for Studying Soil Erosion Processes

Advanced Tools for Studying Soil Erosion Processes PDF Author: Hamid Reza Pourghasemi
Publisher: Elsevier
ISBN: 0443222630
Category : Science
Languages : en
Pages : 634

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Book Description
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. - Provides an overview of soil erosion and its interaction with natural hazards (i.e., geological, hydrological, meteorological, and biological) - Introduces advanced tools and technologies in soil erosion management - Presents future soil erosion opportunities and challenges

Emerging Technologies and Techniques for Remote Sensing of Coastal and Inland Waters

Emerging Technologies and Techniques for Remote Sensing of Coastal and Inland Waters PDF Author: Wesley Moses
Publisher: Frontiers Media SA
ISBN: 2832504094
Category : Science
Languages : en
Pages : 251

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Book Description


Empowering Sustainable Industrial 4.0 Systems With Machine Intelligence

Empowering Sustainable Industrial 4.0 Systems With Machine Intelligence PDF Author: Ahmad, Muneer
Publisher: IGI Global
ISBN: 1799892034
Category : Computers
Languages : en
Pages : 315

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Book Description
The recent advancement of industrial computerization has significantly helped in resolving the challenges with conventional industrial systems. The Industry 4.0 quality standards demand smart and intelligent solutions to revolutionize industrial applications. The integration of machine intelligence and internet of things (IoT) technologies can further devise innovative solutions to recent industrial application issues. Empowering Sustainable Industrial 4.0 Systems With Machine Intelligence assesses the challenges, limitations, and potential solutions for creating more sustainable and agile industrial systems. This publication presents recent intelligent systems for a wide range of industrial applications and smart safety measures toward industrial systems. Covering topics such as geospatial technologies, remote sensing, and temporal analysis, this book is a dynamic resource for health professionals, pharmaceutical professionals, manufacturing professionals, policymakers, engineers, computer scientists, researchers, instructors, students, and academicians.

Cellular Automata and Artificial Intelligence in Ecohydraulics Modelling

Cellular Automata and Artificial Intelligence in Ecohydraulics Modelling PDF Author: Qiuwen Chen
Publisher: CRC Press
ISBN: 1482298406
Category : Science
Languages : en
Pages : 170

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Book Description
International events, such as the UN Summit in Johannesburg (2002) and the Third World Water Forum in Kyoto (2003), re-emphasized the importance of meeting the difficult challenges related to the sustainable development of water and environment. There is a demand for direct action on improving water resources management and conserving natural