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.

This book presents current applications of remote sensing techniques for clouds and precipitation for the benefit of students, educators, and scientists.

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.

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.

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.

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.

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.

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.

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.

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 closing chapters discuss geospatial big data initiatives throughout the world and future challenges and opportunities for remote sensing big data applications.

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.

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.

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.

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.

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 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.

This volume provides in-depth coverage of the latest in remote sensing of hydrological extremes: both floods and droughts.

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 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.

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.

This book presents current applications of remote sensing techniques for clouds and precipitation for the benefit of students, educators, and scientists.

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.