Springer Remote Sensing/Photogrammetry – serie

This book explains in a didactic way the basic concepts of spectral mixing, digital numbers and orbital sensors, and then presents the linear modelling technique of spectral mixing and the generation of fractional images. In addition to presenting a theoretical basis for spectral mixing, the book provides examples of practical applications such as projects for estimating and monitoring deforested areas in the Amazon. In its seven chapters, the book offers remote sensing techniques to understand the main concepts, methods, and limitations of spectral mixing for digital image processing. Chapter 1 addresses the basic concepts of spectral mixing, while chapters 2 and 3 discuss digital numbers and orbital sensors such as MODIS and Landsat MSS. Chapter 4 details the linear spectral mixing model, and chapter 5 talks about how to use this technique to create fraction images. Chapter 6 offers remote sensing applications of fraction images in deforestation monitoring, burned-area mapping, selective logging detection, and land-use/land-cover mapping. Chapter 7 gives some concluding thoughts on spectral mixing, and considers future uses in environmental remote sensing. This book will be of interest to students, teachers, and researchers using remote sensing for Earth observation and environmental modelling.

This edited volume sheds new light on the impact of rapid Land Use/Cover Changes (LU/CC) on greenhouse gases (GHG’s) and aerosol emissions in South and Southeast Asia. Several countries in South/Southeast Asia have the highest population growth rates in the world, which is the main cause for LU/CC. Conversion of dense forests to agricultural areas and then to residential and urban areas is most commonly observed in South/Southeast Asian countries with a significant release of GHG’s and aerosols. The book showcases several case studies on the use of remote sensing and geospatial technologies to quantify biomass burning and air pollution impacts, aerosol pollution, LU/CC, and impacts on ecosystem services. The book also includes articles on regional initiatives in research, capacity building, and training. The authors of this book are international experts in the field, and their contributions highlight significant drivers and impacts of air pollution in South/Southeast Asia. Readers will discover the latest tools and techniques, in particular, the use of satellite remote sensing and geospatial technologies for quantifying GHG’s, aerosols and pollution episodes in this region.

This book presents current applications of remote sensing techniques for clouds and precipitation for the benefit of students, educators, and scientists. It covers ground-based systems such as weather radars and spaceborne instruments on satellites. Measurements and modeling of precipitation are at the core of weather forecasting, and long-term observations of the cloud system are vital to improving atmospheric models and climate projections. The first section of the book focuses on the use of ground-based weather radars to observe and measure precipitation and to detect and forecast storms, thunderstorms, and tornadoes. It also discusses the observation of clouds using ground-based millimeter radar. The second part of the book concentrates on spaceborne remote sensing of clouds and precipitation. It includes cases from the Tropical Rainfall Measuring Mission (TRMM) and the Global Precipitation Measurement (GPM) mission, using satellite radars to observe precipitation systems. Then,the focus is on global cloud observations from the ClaudSat, Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO), including a perspective on the Earth Clouds, Aerosols, and Radiation Explorer (EarthCARE) satellite. It also addresses global atmospheric water vapor profiling for clear and cloudy conditions using microwave observations. The final part of this volume provides a perspective into advances in cloud modeling using remote sensing observations.

This book investigates the added value that satellite technologies and remote sensing could provide for a more sustainable mapping, monitoring and management of heritage sites, be it for purposes of regular maintenance or for risk mitigation in case of natural or man-caused hazards. One of the major goals of this book is to provide a clear overview on policy perspectives, regarding both space policy as well as heritage policy, and to provide possible suggestions for common ground of these two fields, in Europe and around the world. Readers will develop a good understanding of cutting-edge applications of remote sensing and geographic information science, and the challenges that affect heritage maintenance and protection. Particular attention is given to Earth observation and remote sensing techniques applied in different locations. This book brings together innovative technologies, concrete applications and policy perspectives that can lead to a more completevision of cultural heritage as a resource for future development of our society as a whole.

This book presents research using high-resolution operational satellite data for monitoring and assessing numerically how to reduce the area and intensity of malaria outbreaks. Satellite data and imageries a powerful and effective tool for malaria monitoring and reduction of the number of affected people as it bypasses the limitations imposed by the dearth of near-the-ground weather data in many malaria-prone areas. With this in mind, this volume provides readers with:In-depth information in monitoring signs of malaria from operational polar-orbiting satellitesExamples of country-specific models for predicting malaria area (1 and 4 km2 resolution) and intensityInformation on the how the effects of climate change on malaria outbreak area and intensity can be monitoredA new Vegetation Health (VH) methodology to estimate vegetation moisture, temperature and moisture/temperature conditions as indicators of malaria vector activityAdvice to userson the application of VH technology for early assessments of malaria area, intensity and risk levelRemote Sensing for Malaria is intended for an audience of public health practitioners, environmentalists, and students and researchers working in spatial epidemiology and disease prevention.

This book presents research using high-resolution operational satellite data for monitoring and assessing numerically how to reduce the area and intensity of malaria outbreaks. Satellite data and imageries a powerful and effective tool for malaria monitoring and reduction of the number of affected people as it bypasses the limitations imposed by the dearth of near-the-ground weather data in many malaria-prone areas. With this in mind, this volume provides readers with:In-depth information in monitoring signs of malaria from operational polar-orbiting satellitesExamples of country-specific models for predicting malaria area (1 and 4 km2 resolution) and intensityInformation on the how the effects of climate change on malaria outbreak area and intensity can be monitoredA new Vegetation Health (VH) methodology to estimate vegetation moisture, temperature and moisture/temperature conditions as indicators of malaria vector activityAdvice to userson the application of VH technology for early assessments of malaria area, intensity and risk levelRemote Sensing for Malaria is intended for an audience of public health practitioners, environmentalists, and students and researchers working in spatial epidemiology and disease prevention.

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.

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.

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.

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.

This book provides insights into the benefits of using remote sensing data from a geoscientist's perspective, by integrating the data with the understanding of Earth's surface and subsurface. In 3 sections, the book takes a detailed look at what data explorationists use when they explore for hydrocarbon resources, assess different terrain types for planning and hazards and extract present-day geologic analogs for subsurface geologic settings. The book presents the usage of remote sensing data in exploration in a structured way by detecting individual geologic features as building blocks for complex geologic systems. This concept enables readers to build their own workflows for the assessment of complex geologic systems using various combinations of remote sensing data. Section 1 introduces readers to the foundations of remote sensing for exploration, covers various methods of image processing and studies different digital elevation and bathymetry models. Section 2 presents the concept of geomorphology as a means to integrate surface and subsurface data. Different aspects of rendering in 2D and 3D are explained and used for the interpretation and extraction of geologic features that are used in exploration.Section 3 addresses remote sensing for hydrocarbon exploration in detail, from geophysical data acquisition to development and infrastructure planning. The organization of this chapter follows an exploration workflow from regional to local modeling studying basin and petroleum system modeling as well as logistics planning of seismic surveys and near-surface modeling. Aspects of field development and infrastructure planning comprise multi-temporal and dynamic modeling. The section closes with a structured approach to extracting geologic analogs from interpreted remote sensing data.The book will be of interest to professionals and students working in exploration for hydrocarbons and water resources, as well as geoscientists and engineers using remote sensing for infrastructure planning, hazard assessment and dynamic environmental studies.

This book provides insights into the benefits of using remote sensing data from a geoscientist's perspective, by integrating the data with the understanding of Earth's surface and subsurface. In 3 sections, the book takes a detailed look at what data explorationists use when they explore for hydrocarbon resources, assess different terrain types for planning and hazards and extract present-day geologic analogs for subsurface geologic settings. The book presents the usage of remote sensing data in exploration in a structured way by detecting individual geologic features as building blocks for complex geologic systems. This concept enables readers to build their own workflows for the assessment of complex geologic systems using various combinations of remote sensing data. Section 1 introduces readers to the foundations of remote sensing for exploration, covers various methods of image processing and studies different digital elevation and bathymetry models. Section 2 presents the concept of geomorphology as a means to integrate surface and subsurface data. Different aspects of rendering in 2D and 3D are explained and used for the interpretation and extraction of geologic features that are used in exploration.Section 3 addresses remote sensing for hydrocarbon exploration in detail, from geophysical data acquisition to development and infrastructure planning. The organization of this chapter follows an exploration workflow from regional to local modeling studying basin and petroleum system modeling as well as logistics planning of seismic surveys and near-surface modeling. Aspects of field development and infrastructure planning comprise multi-temporal and dynamic modeling. The section closes with a structured approach to extracting geologic analogs from interpreted remote sensing data.The book will be of interest to professionals and students working in exploration for hydrocarbons and water resources, as well as geoscientists and engineers using remote sensing for infrastructure planning, hazard assessment and dynamic environmental studies.

This monograph provides comprehensive coverage of the collection, management, and use of big data obtained from remote sensing. The book begins with an introduction to the basics of big data and remote sensing, laying the groundwork for the more specialized information to follow. The volume then goes on to address a wide variety of topics related to the use and management of remote sensing big data, including hot topics such as analysis through machine learning, cyberinfrastructure, and modeling. Examples on how to use the results of big data analysis of remotely sensed data for concrete decision-making are offered as well. The closing chapters discuss geospatial big data initiatives throughout the world and future challenges and opportunities for remote sensing big data applications. The audience for this book includes researchers at the intersection of geoscience and data science, senior undergraduate and graduate students, and anyone else interested in how large datasets obtained through remote sensing can be best utilized. The book presents a culmination of 30 years of research from renowned spatial scientists Drs. Liping Di and Eugene Yu.

This monograph provides comprehensive coverage of the collection, management, and use of big data obtained from remote sensing. The book begins with an introduction to the basics of big data and remote sensing, laying the groundwork for the more specialized information to follow. The volume then goes on to address a wide variety of topics related to the use and management of remote sensing big data, including hot topics such as analysis through machine learning, cyberinfrastructure, and modeling. Examples on how to use the results of big data analysis of remotely sensed data for concrete decision-making are offered as well. The closing chapters discuss geospatial big data initiatives throughout the world and future challenges and opportunities for remote sensing big data applications. The audience for this book includes researchers at the intersection of geoscience and data science, senior undergraduate and graduate students, and anyone else interested in how large datasets obtained through remote sensing can be best utilized. The book presents a culmination of 30 years of research from renowned spatial scientists Drs. Liping Di and Eugene Yu.

With the rapid advancements in satellite technology, earth remote sensing has become an indispensable tool for a wide range of applications, from environmental monitoring to disaster management. However, the vast amount of data generated by these satellites can be overwhelming for many researchers and practitioners who lack the necessary skills and tools to process and analyze it. This is where QGIS comes in. QGIS is a powerful, open-source Geographic Information System (GIS) software that has been extensively used in the field of earth remote sensing. It provides a user-friendly platform for processing, analyzing, and visualizing satellite imagery, enabling users to unlock the full potential of earth remote sensing data. The purpose of this book is to help researchers and practitioners who lack the necessary skills and tools to process and analyze satellite imagery using QGIS.There are several books that cover the use of QGIS for earth remote sensing, but most of them areeither too technical or too general. This book fills this gap by providing a comprehensive and user-friendly guide to using QGIS for earth remote sensing applications. It includes a range of real-world case studies that demonstrate the power and versatility of QGIS for solving complex problems in earth remote sensing. This will provide readers with practical examples of how to use QGIS for earth remote sensing and inspire them to explore new applications and possibilities. The book is intended for GIS professionals, students (undergraduate and graduate), and researchers who are interested in using QGIS for earth remote sensing applications. It will be particularly useful for those who are new to QGIS or who want to expand their knowledge of the software for remote sensing purposes.

With the rapid advancements in satellite technology, earth remote sensing has become an indispensable tool for a wide range of applications, from environmental monitoring to disaster management. However, the vast amount of data generated by these satellites can be overwhelming for many researchers and practitioners who lack the necessary skills and tools to process and analyze it. This is where QGIS comes in. QGIS is a powerful, open-source Geographic Information System (GIS) software that has been extensively used in the field of earth remote sensing. It provides a user-friendly platform for processing, analyzing, and visualizing satellite imagery, enabling users to unlock the full potential of earth remote sensing data. The purpose of this book is to help researchers and practitioners who lack the necessary skills and tools to process and analyze satellite imagery using QGIS.There are several books that cover the use of QGIS for earth remote sensing, but most of them areeither too technical or too general. This book fills this gap by providing a comprehensive and user-friendly guide to using QGIS for earth remote sensing applications. It includes a range of real-world case studies that demonstrate the power and versatility of QGIS for solving complex problems in earth remote sensing. This will provide readers with practical examples of how to use QGIS for earth remote sensing and inspire them to explore new applications and possibilities. The book is intended for GIS professionals, students (undergraduate and graduate), and researchers who are interested in using QGIS for earth remote sensing applications. It will be particularly useful for those who are new to QGIS or who want to expand their knowledge of the software for remote sensing purposes.

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.

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.

This volume provides readers with the tools to unlock the potential of Earth observation (EO) technologies to transform coastal zone management. This comprehensive guide delves into how EO technologies can be used monitor and manage coastal areas, emphasizing sustainable land use and development. Designed for researchers, decision-makers, and environmental planners, this book offers multi-scale assessment approaches that provide actionable solutions and strategic plans for managing extensive environmental landscapes. Readers will discover innovative management solutions for a variety of environmental challenges, along with new methodologies aimed at sustainable development and the achievement of the United Nations Sustainable Development Goals (SDGs) and 2030 targets. This volume showcases numerous multi-tasked applications of satellite data from diverse sources, validating the immense value of earth observations in environmental management. By integrating this data into geographical databases, the book provide an ideal framework for spatial planning at various scales. Geospatial information is a crucial tool for creating interactive systems for spatial analysis, merging real-world data with forecasting models to support social and economic development. Geospatial information guides where and when to act, aiding in the development of strategic and implementation plans that promote sustainable development. Embrace the future of coastal zone management with this volume and equip yourself with the knowledge and tools to make informed, impactful decisions for a sustainable tomorrow.

This volume provides readers with the tools to unlock the potential of Earth observation (EO) technologies to transform coastal zone management. This comprehensive guide delves into how EO technologies can be used monitor and manage coastal areas, emphasizing sustainable land use and development. Designed for researchers, decision-makers, and environmental planners, this book offers multi-scale assessment approaches that provide actionable solutions and strategic plans for managing extensive environmental landscapes. Readers will discover innovative management solutions for a variety of environmental challenges, along with new methodologies aimed at sustainable development and the achievement of the United Nations Sustainable Development Goals (SDGs) and 2030 targets. This volume showcases numerous multi-tasked applications of satellite data from diverse sources, validating the immense value of earth observations in environmental management. By integrating this data into geographical databases, the book provide an ideal framework for spatial planning at various scales. Geospatial information is a crucial tool for creating interactive systems for spatial analysis, merging real-world data with forecasting models to support social and economic development. Geospatial information guides where and when to act, aiding in the development of strategic and implementation plans that promote sustainable development. Embrace the future of coastal zone management with this volume and equip yourself with the knowledge and tools to make informed, impactful decisions for a sustainable tomorrow.

This book covers the quantification of forests, grasslands, and woodlands ecosystem services from the supply side (e.g., regulatory and provisioning services) to the demand side, including human cultural needs. The Millennium Ecosystem Assessment (MA, 2005) defines ecosystem services as simply the benefits that are derived from ecosystems for human well-being (Board 2005). The report has documented that ecosystems have contributed more than 50% of the world's GDP. However, as a result of climate change and anthropogenic impacts, about 60% of the world's ecosystem services have been degraded. This significant reduction of services has serious consequences on food production, climate regulation, and net primary production, among other services which directly affect human well-being. In order to appreciate the benefits of various ecosystems to humanity and monitor their degradation, a systematic quantification of ecosystem services and their change in both time and space is critical. In particular, there is a need to characterize the ecological infrastructures, processes, and ecosystem functions that underpin the ecosystem services in ways that can be evaluated and tracked (Potschin and Haines-Young 2016). In addition, various intervention measures to restore degraded ecosystems require constant and accurate measurement of the ecosystem characteristics in order to assess the benefits of ecological restoration.Vegetation in particular provides a number of provisioning (forage production, food), regulatory (climate, temperature), supporting (primary production, nutrient cycling), and cultural (educational, recreation) ecosystem services as well as biodiversity maintenance (Masenyama et al. 2022). Remote sensing data contributes significantly to mapping, modeling, and quantitative valuation of the ecosystem services in a spatially explicit manner. It provides an opportunity to use standard protocols at various spatial scales as well as wall-to-wall mapping of phenomena through time, which is critical for monitoring on a continuous basis.

This book presents a comprehensive and accessible account of coastal ecosystem monitoring and management using open-source remote sensing data and Geographic Information Systems (GIS), with a strong focus on community engagement and sustainability. It is organised into three interconnected parts that move from foundational concepts to applied analysis and finally to emerging technologies, providing a clear and logical progression from basic understanding to practical implementation and further innovation. The first part introduces the concept and technical foundations of coastal remote sensing and open-source GIS, focusing on the spectral characteristics of key coastal ecosystem components and outlining preprocessing techniques to improve satellite data quality. It also introduces open-access geospatial databases and explains how diverse datasets can be integrated using open GIS platforms. The second part moves into practical applications, focusing on coastal mapping and analytical approaches using open remote sensing data and GIS tools such as QGIS, SAGA GIS, Google Earth Engine, and GRASS GIS. It presents case studies on land use change and habitat dynamics, land surface temperature trends, spatio-temporal spectral analysis of coastal vegetation, canopy water and nitrogen, soil-based contents, coastal agro-environmental assessment, coastal urban landscape dynamics, shoreline change detection and dynamics, and mangrove dynamics and management. This section also places clear emphasis on participatory GIS approaches, drawing attention to the contributions of citizen science, indigenous knowledge, and collaborative GIS in improving data reliability and supporting more inclusive forms of coastal governance through real-world examples. The final part highlights emerging trends such as IoT-enabled monitoring, cloud-based geospatial processing, web-based decision support systems, and citizen-driven environmental tracking. The book offers significant academic and practical value by bridging theory and application, supporting evidence-based policy, and equipping researchers, practitioners, decision-makers, scientists, professionals, students, and coastal studies enthusiasts with accessible tools and frameworks to address contemporary coastal challenges and promote resilient and sustainable coastal futures.

This book provides results of spatial and temporal distributions of water quality parameters and marine primary production and its relationship with the driving atmospheric, ocean circulation and hydrobiological mechanisms established through a synergistic use of multi-spectral region spaceborne data and results of numerical model simulations of marine in-water and atmospheric processes related to the marine ecosystem. The changes in the studied marine/oceanic environments are analysed in light of recent climate change that imposes its influence through a set of forward and feedback interactions and forcing.

The combined observational power of the multiple earth observing satellites is currently not being harnessed holistically to produce more durable societal benefits. We are not able to take complete advantage of the prolific amount of scientific output and remote sensing data that are emerging rapidly from satellite missions and convert them quickly into decision-making products for users. The current application framework we have appears to be an analog one lacking the absorption bandwidth required to handle scientific research and the voluminous (petabyte-scale) satellite data. This book will tackle this question: "How do we change this course and take full advantage of satellite observational capability for a more sustainable, happier and safer future in the coming decades?"

This volume provides in-depth coverage of the latest in remote sensing of hydrological extremes:  both floods and droughts. The book is divided into two distinct sections – floods and droughts – and offers a variety of techniques for monitoring each. With rapid advances in computer modelling and observing systems, floods and droughts are studied with greater precision today than ever before. Land surface models, especially over the entire Continental United States, can map the hydrological cycle at kilometre and sub-kilometre scales. In the case of smaller areas there is even higher spatial resolution and the only limiting factor is the resolution of input data. In-situ sensors are automated and the data is directly relayed to the world wide web for many hydrological variables such as precipitation, soil moisture, surface temperature and heat fluxes. In addition, satellite remote sensing has advanced to providing twice a day repeat observationsat kilometre to ten-kilometre spatial scales.We are at a critical juncture in the study of hydrological extremes, and the GPM and SMAP missions as well as the MODIS and GRACE sensors give us more tools and data than were ever available before. A global variety of chapter authors provides wide-ranging perspectives and case studies that will make this book an indispensable resource for researchers, engineers, and even emergency management and insurance professionals who study and/or manage hydrological extremes.

This book presents relevant and contemporary research on the remote sensing of landscapes, agriculture & forestry, geomorphology, coasts & oceans, natural hazards and wild habitats. It highlights the application of remote sensing in understanding natural processes and oceanic features, as well as in creating mapping inventories of water resources across different spatial and temporal scales. Recent advances in hyperspectral imaging and high spatial resolution offer promising techniques for exploring various aspects related to the fruitful and cost-effective monitoring of large-scale environments. In the field of forestry and agriculture, the book addresses topics such as terrain analysis, forest management, updating current forest inventories, and vegetation cover type discrimination. It also elaborates delineation of various geo-morphological features of the earth’s surface and natural disasters, and includes a special section on the remote sensing of wild habitats. Readers working in interdisciplinary sectors engaged in remote-sensing-based research benefit from the techniques presented.

This book is an overview of current state of the art about monitoring of inundation events through remote sensing. A complete approach to efficient and precise flood monitoring requires multiple fields of expertise, from image processing to hydrologic monitoring. This volume details the latest remote sensing techniques for flood monitoring and mapping, including use of optical data from geostationary sensors and LEO spacecraft, synthetic aperture radar (SAR) data analysis, and data fusion. Detailed case studies from a variety of subject experts illustrate these tools and techniques. Accurate monitoring of flood events is increasingly necessary to gain insight about both causes and remedies. Floods are one of the most destructive hazards to the human populations, they can occur practically everywhere on the Earth surface, and each year cause considerable harm and damage to infrastructures. The recent Flood directive in European Countries is contributing to a more quantitative approach to flood hazard and risk evaluation.

This edited volume sheds new light on the impact of rapid Land Use/Cover Changes (LU/CC) on greenhouse gases (GHG’s) and aerosol emissions in South and Southeast Asia. Several countries in South/Southeast Asia have the highest population growth rates in the world, which is the main cause for LU/CC. Conversion of dense forests to agricultural areas and then to residential and urban areas is most commonly observed in South/Southeast Asian countries with a significant release of GHG’s and aerosols. The book showcases several case studies on the use of remote sensing and geospatial technologies to quantify biomass burning and air pollution impacts, aerosol pollution, LU/CC, and impacts on ecosystem services. The book also includes articles on regional initiatives in research, capacity building, and training. The authors of this book are international experts in the field, and their contributions highlight significant drivers and impacts of air pollution in South/Southeast Asia. Readers will discover the latest tools and techniques, in particular, the use of satellite remote sensing and geospatial technologies for quantifying GHG’s, aerosols and pollution episodes in this region.

This book presents current applications of remote sensing techniques for clouds and precipitation for the benefit of students, educators, and scientists. It covers ground-based systems such as weather radars and spaceborne instruments on satellites. Measurements and modeling of precipitation are at the core of weather forecasting, and long-term observations of the cloud system are vital to improving atmospheric models and climate projections. The first section of the book focuses on the use of ground-based weather radars to observe and measure precipitation and to detect and forecast storms, thunderstorms, and tornadoes. It also discusses the observation of clouds using ground-based millimeter radar. The second part of the book concentrates on spaceborne remote sensing of clouds and precipitation. It includes cases from the Tropical Rainfall Measuring Mission (TRMM) and the Global Precipitation Measurement (GPM) mission, using satellite radars to observe precipitation systems. Then,the focus is on global cloud observations from the ClaudSat, Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO), including a perspective on the Earth Clouds, Aerosols, and Radiation Explorer (EarthCARE) satellite. It also addresses global atmospheric water vapor profiling for clear and cloudy conditions using microwave observations. The final part of this volume provides a perspective into advances in cloud modeling using remote sensing observations.