Monitoring Land Subsidence Using Remote Sensing

Monitoring Land Subsidence Using Remote Sensing

Author: Massimo Fabris

Publisher: MDPI

Published: 2021-09-06

Total Pages: 194

ISBN-13: 3036513884

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In this book are reported nine works related to land subsidence monitoring using remote sensing techniques. Land subsidence is a common phenomenon in many regions of the world, where it causes degradation of local ecosystems and disruption of economic activities. Its effects are more evident in densely populated areas in particular in low-lying territories such as river deltas and coastal areas where the combination of land subsidence and sea level rise increases the flooding risk. For this reason, the monitoring of ground deformations is a crucial step to obtain important information for the development of risk mitigation strategies. In the presented papers, the characteristics of land subsidence occurring in different study areas are described, and recent developments in the used methodologies for the monitoring of the ground displacements are discussed and validated also by means of ground-based data. Moreover, advantages and disadvantages of the adopted techniques are highlighted. The outcomes of these research works can provide national and local authorities with useful information for the implementation of integrated monitoring systems in the areas most affected by land subsidence.


Monitoring Land Subsidence Using Remote Sensing

Monitoring Land Subsidence Using Remote Sensing

Author: Massimo Fabris

Publisher:

Published: 2021

Total Pages: 193

ISBN-13: 9783036513874

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In this book are reported nine works related to land subsidence monitoring using remote sensing techniques. Land subsidence is a common phenomenon in many regions of the world, where it causes degradation of local ecosystems and disruption of economic activities. Its effects are more evident in densely populated areas in particular in low-lying territories such as river deltas and coastal areas where the combination of land subsidence and sea level rise increases the flooding risk. For this reason, the monitoring of ground deformations is a crucial step to obtain important information for the development of risk mitigation strategies. In the presented papers, the characteristics of land subsidence occurring in different study areas are described, and recent developments in the used methodologies for the monitoring of the ground displacements are discussed and validated also by means of ground-based data. Moreover, advantages and disadvantages of the adopted techniques are highlighted. The outcomes of these research works can provide national and local authorities with useful information for the implementation of integrated monitoring systems in the areas most affected by land subsidence.


Advances in Remote Sensing-based Disaster Monitoring and Assessment

Advances in Remote Sensing-based Disaster Monitoring and Assessment

Author: Jungho Im

Publisher: MDPI

Published: 2020-11-13

Total Pages: 232

ISBN-13: 3039433229

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Remote sensing data and techniques have been widely used for disaster monitoring and assessment. In particular, recent advances in sensor technologies and artificial intelligence-based modeling are very promising for disaster monitoring and readying responses aimed at reducing the damage caused by disasters. This book contains eleven scientific papers that have studied novel approaches applied to a range of natural disasters such as forest fire, urban land subsidence, flood, and tropical cyclones.


Land Surface Remote Sensing

Land Surface Remote Sensing

Author: Mehrez Zribi

Publisher: Elsevier

Published: 2016-11-08

Total Pages: 386

ISBN-13: 0081012659

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Land Surface Remote Sensing: Environment and Risks explores the use of remote sensing in applications concerning the environment, including desertification and monitoring deforestation and forest fires. The first chapter covers the characterization of aerosols and gases by passive remote sensing. The next chapter presents the correlation of optical images for quantifying the deformation of the Earth's surface and geomorphological processes. The third chapter is examines remote sensing applications in the mining environment. The fourth chapter depicts the strong potential of radar imagery for volcanology and urban and mining subsidence studies. The next two chapters deal respectively with the use of remote sensing in locust control and the contribution of remote sensing to the epidemiology of infectious diseases. In the last ten years, spatial observation of the Earth—particularly continental surfaces—has expanded considerably with the launch of increasing numbers of satellites covering various applications (hydrology, biosphere, flow of surface, snow, ice, landslide, floods). This has paved the way for an explosion in the use of remote sensing data. This book offers essential coverage of space-based observation techniques for continental surfaces. The authors explore major applications and provide a corresponding detailed chapter for the physical principles, physics of measurement, and data processing requirements for each technique, bringing you up-to-date descriptions of techniques used by leading scientists in the field of remote sensing and Earth observation. - Provides clear and concise descriptions of modern remote sensing methods - Explores the most current remote sensing techniques with physical aspects of the measurement (theory) and their applications - Provides chapters on physical principles, measurement, and data processing for each technique described - Describes optical remote sensing technology, including a description of acquisition systems and measurement corrections to be made


Remote Sensing for Characterization of Geohazards and Natural Resources

Remote Sensing for Characterization of Geohazards and Natural Resources

Author: Estelle Chaussard

Publisher: Springer Nature

Published: 2024

Total Pages: 607

ISBN-13: 3031593065

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This book provides insights from a geoscientist’s perspective into the benefits and the potential of remote sensing methods to address problems with a high social impact: identifying the drivers of geohazards and developing new methods for monitoring natural resources. The fields covered include volcanic hazards, seismic hazards, landslide hazards, land subsidence hazards and monitoring of natural resources through the use and combination of various remote sensing techniques and modelling approaches. This book should spark collaborations and encourage readers to think beyond disciplines or techniques, as well as enable readers to build their own workflow depending on their study of interest. It provides a much-needed comprehensive review of recent advances that remote sensing methods have brought to geohazards and resources research. It is unique in the way that it unifies geohazards and natural resources research to highlight cross-field advancements and potential areas for multiple fields of science to collaborate. The book intends to provide both a basic understanding of the remote sensing methods used in geohazards and natural resources sciences, with appropriate referencing for readers wishing to further their technique-specific learning, and a detailed application of these methods to a variety of sustainability problems. It aims at providing the reader with workflows for combining multiple techniques with demonstrated results in a variety of disciplines. This approach makes the book useful for both students learning about geohazards and resources, learning about remote sensing methods, and for researchers intending to expand their skill set using methods that have been applied to other fields. This book provides an introduction to each remote sensing method with references for in-depth technical learning which will benefit students in Remote Sensing courses.


Advances in Remote Sensing for Infrastructure Monitoring

Advances in Remote Sensing for Infrastructure Monitoring

Author: Vernon Singhroy

Publisher: Springer Nature

Published: 2020-12-23

Total Pages: 366

ISBN-13: 3030591093

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This volume provides international case studies of practical and advanced methods using satellite images integrated with other airborne, drone images and field data to monitor infrastructure. The book is timely, as infrastructure spending by national governments is increasing and robust monitoring techniques are needed to keep pace with climate change impacts affecting infrastructures globally. The expert international contributions that comprise the book provide examples of advanced methods using InSAR, high-resolution optical and radar images, LIDAR, UAV, geophysical techniques and their applications to civil infrastructure. The case studies focus on high-resolution, rapid time-series radar interferometry to monitor highways, railways, pipelines, bridges, urban, and water conveyance infrastructures. Other case studies use optical and radar images to characterize urban infrastructure and monitor damages from floods, oil spills and conflicts. The case studies are global focusing on infrastructure projects in Canada, Dominica Guyana, India Italy, Syria Taiwan, United States and the United Kingdom. This compilation of selected case studies will provide useful guidelines for the civil infrastructure characterization and monitoring communities. The book will be of interest to infrastructure consultants and professionals, scientific communities in earth observation and advanced imaging methods, and researchers and professors in earth sciences, climate change, and civil and geoengineering.


APAC 2019

APAC 2019

Author: Nguyen Trung Viet

Publisher: Springer Nature

Published: 2019-09-25

Total Pages: 1483

ISBN-13: 9811502919

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This book presents selected articles from the International Conference on Asian and Pacific Coasts (APAC 2019), an event intended to promote academic and technical exchange on coastal related studies, including coastal engineering and coastal environmental problems, among Asian and Pacific countries/regions. APAC is jointly supported by the Chinese Ocean Engineering Society (COES), the Coastal Engineering Committee of the Japan Society of Civil Engineers (JSCE), and the Korean Society of Coastal and Ocean Engineers (KSCOE). APAC is jointly supported by the Chinese Ocean Engineering Society (COES), the Coastal Engineering Committee of the Japan Society of Civil Engineers (JSCE), and the Korean Society of Coastal and Ocean Engineers (KSCOE).


Environmental Remote Sensing and Systems Analysis

Environmental Remote Sensing and Systems Analysis

Author: Ni-Bin Chang

Publisher: CRC Press

Published: 2012-03-23

Total Pages: 520

ISBN-13: 1439877440

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Using a systems analysis approach and extensive case studies, Environmental Remote Sensing and Systems Analysis shows how remote sensing can be used to support environmental decision making. It presents a multidisciplinary framework and the latest remote sensing tools to understand environmental impacts, management complexity, and policy implicatio


Remote Sensing of Soil and Land Surface Processes

Remote Sensing of Soil and Land Surface Processes

Author: Assefa Melesse

Publisher: Elsevier

Published: 2023-10-31

Total Pages: 468

ISBN-13: 0443153426

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Remote Sensing of Soil and Land Surface Processes: Monitoring, Mapping, and Modeling couples artificial intelligence and remote sensing for mapping and modeling natural resources, thus expanding the applicability of AI and machine learning for soils and landscape studies and providing a hybridized approach that also increases the accuracy of image analysis. The book covers topics including digital soil mapping, satellite land surface imagery, assessment of land degradation, and deep learning networks and their applicability to land surface processes and natural hazards, including case studies and real life examples where appropriate. This book offers postgraduates, researchers and academics the latest techniques in remote sensing and geoinformation technologies to monitor soil and surface processes. - Introduces object-based concepts and applications, enhancing monitoring capabilities and increasing the accuracy of mapping - Couples artificial intelligence and remote sensing for mapping and modeling natural resources, expanding the applicability of AI and machine learning for soils and sediment studies - Includes the use of new sensors and their applications to soils and sediment characterization - Includes case studies from a variety of geographical areas