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Remote Sensing for Characterization of Geohazards and Natural Resources (Springer Remote Sensing/Photogrammetry)
by Andrea Donnellan Estelle Chaussard Cathleen Jones Jingyi Ann ChenThis 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.
Remote Sensing for Food Security (Sustainable Development Goals Series)
by Felix KoganThis volume gathers a variety of applications for remote sensing of vegetation health (VH) and concretely shows how this information can be used in service of ending hunger and of ensuring future food security. In this book’s ten chapters, Dr. Felix Kogan, one of the most prolific scientists in this sphere, shows how a new VH method, designed from operational environmental satellite data, can be used to provide advanced predictions of agricultural losses, helping to enhance food security and reducing the number of hungry people. Topics covered include the scientific basis of the VH method, drought monitoring, prediction of short-term agricultural yield and crop insurance, and impacts of long term climate variability and change on food security. A short discussion on VH for human health-related topics such as detection and prediction of malaria and fire risk is included as well.
Remote Sensing for Geophysicists
by Mukesh GuptaGeophysical exploration methods are very expensive and invasive methods for surveys. Remote sensing methods are non-invasive and much cheaper for investigating the Earth’s surface. This book bridges this gap and aims to integrate exploration geophysics with remote sensing as a cost-effective method which is easy to implement for prospecting in different areas. It provides exploration geophysicists with the necessary information to use advanced remote sensing technology in the exploration of oil and gas, minerals, and groundwater. It describes the integration of remote sensing in each of the nine exploration methods based on over 11 case studies from different countries across the globe.Features: Describes the geophysical exploration methods that geophysicists frequently use, along with suitable remote sensing techniques Offers a well-structured one-stop guide for finding a suitable remote sensing technique for a specific geophysical exploration method Provides case studies on the exploration of oil, gas, and groundwater with step-by-step instructions using remote sensing technology Serves as a practical field book for exploration geophysicists who never used or rarely use remote sensing. Enables exploration geophysicists to understand and interpret remote sensing data for the assessment of complex explorations This book is an excellent resource for professionals, researchers, academics, and students with a background in remote sensing across many disciplines in Earth sciences such as geology, hydrology, petrology, mining, geography, geosciences, etc.
Remote Sensing for Geoscientists: Image Analysis and Integration, Third Edition
by Gary L. ProstThis third edition of the bestselling Remote Sensing for Geologists: A Guide to Image Interpretation is now titled Remote Sensing for Geoscientists: Image Analysis and Integration. The title change reflects that this edition applies to a broad spectrum of geosciences, not just geology; stresses that remote sensing has become more than photointerpre
Remote Sensing for Geoscientists: Image Analysis and Integration
by Gary L. ProstThe fourth edition of the bestselling Remote Sensing for Geoscientists: Image Analysis and Integration expands the scope of remote sensing to cover image systems that did not exist 11 years ago when the third edition was published. It is thoroughly updated to meet the needs of readers today and provides examples of new capabilities using Google Earth© and various apps. It describes the latest remote sensing systems and sensors, provides examples of imagery, and explains how to analyze and integrate remote sensing images in projects that require superior results. Lavishly illustrated, it serves as a how-to guide for those using remote sensing in Earth Sciences for mapping and monitoring.New in the Fourth Edition: Thoroughly revised to address remote sensing technological advances achieved in recent years. Includes new examples of using remote sensing for successful projects in water, oil, gas, and mineral exploration and exploitation, forensic remote sensing, and environmental monitoring. Reviews the latest instrumentation, processing, and integrated analysis of imagery. Includes two new chapters, including one on clandestine geologic remote sensing and a new chapter on free Google Earth software to remotely sense anywhere on Earth and process imagery to highlight geologic features. Maintains a clear style and simple language understandable by the average person. This is a terrific, all-encompassing text for professionals in industry and governmental agencies, academics, and students who are part of the remote sensing and geospatial community and working in the fields of geology, geosciences, energy and mining industry, groundwater, and environmental engineering and for those who are involved in monitoring natural resources, the environment, and natural disasters.
Remote Sensing for Hydrocarbon Exploration (Springer Remote Sensing/Photogrammetry)
by Andreas LaakeThis 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.
Remote Sensing for Landscape Ecology: Monitoring, Modeling, And Assessment Of Ecosystems
by Ricardo D Lopez Robert C FrohnThis book provides the practical basis for the use of remote sensing to accomplish landscape ecological projects, through the merging of theory and practice, with examples. This is a specialized application and both these topics have evolved rapidly in the past decade. This evolution is not in the previous edition, and indeed this update provides much new information and valuable ideas for the professional and assist in directing the training of new personnel. The new edition will feature a combination of landscape ecology metrics, quantitative field measurements, and geospatial analyses.
Remote Sensing for Sustainability (Remote Sensing Applications Series)
by Qihao WengDriven by the societal needs and improvement in sensor technology and image processing techniques, remote sensing has become an essential geospatial tool for understanding the Earth and managing Human-Earth interactions. Remote Sensing for Sustainability introduces the current state of the art remote sensing knowledge integral for monitoring the world’s natural resources and environments, managing exposure to natural disasters and man-made risks, and helping understand the sustainability and productivity of natural ecosystems. Bridging the gap between remote sensing and sustainability science this book examines theories and methods as well as practical applications of sustainable development for cities using remote sensing; focuses on remote sensing methods and techniques for sustainable natural resources with emphasize on forests; answers questions on how and what the remote sensing methods and techniques can do for the sustainability of environmental systems; and examines the issues of energy use and sustainable energy sources using remote sensing technology in countries such as Germany, China, the U.S, drawing on case studies to demonstrate the applicability of remote sensing techniques. This comprehensive guide, which can serve to professors, researchers, and students alike, takes in consideration the United Nations set of sustainable development goals and intends to contribute to the GEO’s Strategic Plan by addressing and exemplifying a number of societal benefit areas of remote sensing data sets, methods, and techniques for sustainable development.
Remote Sensing from Space
by Gunter Zeug Martino Pesaresi Stefan Schneiderbauer Bhupendra JasaniThis volume provides the reader with an overview of the state-of-the-art Earth Observation (EO) related research that deals with national and international security. An interdisciplinary approach was adopted in this book in order to provide the reader with a broad understanding on the uses of remote sensing technologies. The book therefore comprises management aspects (issues and priorities of security research, crisis response), applied methodologies and process chains (treaty monitoring, estimation of population densities and characteristics, border permeability models, damage assessment) and the latest developments in generic tools (feature recognition, change detection and visualization). Moreover, issues of data sharing and standards, as well as new approaches to training security relevant techniques, are addressed. The contributing authors are leading researchers and experts from private companies, national research institutions and international organizations, all of whom were brought together under the aegis of the European research project GMOSS (Global Monitoring for Security and Stability). This book is tailored for the scientific community that deals with the application of EO data, as well as project managers and decision makers working in the field of security having an interest in technical solutions. The integrative use of many figures and sample images are ideal in enabling the non-technical reader to grasp quickly the modern technologies that are being researched in the area of civil security.
Remote Sensing Geology
by Ravi P. GuptaOver the past decade, advances in sensor technology, processing algorithms, and computational capacity have taken remote sensing to a level where observations can be transformed into quantitative measurements, and the technology can be used in near real-time for mapping, monitoring and decision-making. For the third edition, this widely acclaimed book has been fully revised, enlarged and updated. It covers remote sensing in a wide range of optical, thermal, and microwave wavelengths and their host of geologic applications featuring sample applications from around the globe. In addition, it presents state-of-the-art content on emerging themes such as atmospheric interactions, spectroscopy, spectral indices, prospectivity modelling, and multi-sensor geodata integration. The subject matter is presented at a basic level, offering students an excellent introductory text on remote sensing. Further, the main part of the book will also be of great value to active researchers. Excerpt from the review of Remote Sensing Geology (2nd ed. , 2003): International Journal of Applied Earth Observation and Geoinformation, 5 (2004) 239-240 ". . . . Graduate students, research workers and professional earth scientists will use this book to their advantage and with pleasure; it is well-written, to the point and with an emphasis on understanding the principles underlying this wide spectre of technology in its application to the earth sciences. Remote sensing is a fascinating subject; so is geology. The author has fully succeeded in providing a fascinating book that combines them in a handy volume. " Jan J. Nossin
Remote Sensing Image Classification in R (Springer Geography)
by Courage KamusokoThis book offers an introduction to remotely sensed image processing and classification in R using machine learning algorithms. It also provides a concise and practical reference tutorial, which equips readers to immediately start using the software platform and R packages for image processing and classification. This book is divided into five chapters. Chapter 1 introduces remote sensing digital image processing in R, while chapter 2 covers pre-processing. Chapter 3 focuses on image transformation, and chapter 4 addresses image classification. Lastly, chapter 5 deals with improving image classification. R is advantageous in that it is open source software, available free of charge and includes several useful features that are not available in commercial software packages. This book benefits all undergraduate and graduate students, researchers, university teachers and other remote- sensing practitioners interested in the practical implementation of remote sensing in R.
Remote Sensing Image Fusion (Signal and Image Processing of Earth Observations)
by Luciano Alparone Bruno Aiazzi Stefano Baronti Andrea GarzelliA synthesis of more than ten years of experience, Remote Sensing Image Fusion covers methods specifically designed for remote sensing imagery. The authors supply a comprehensive classification system and rigorous mathematical description of advanced and state-of-the-art methods for pansharpening of multispectral images, fusion of hyperspectral and
Remote Sensing Image Fusion: A Practical Guide
by Christine Pohl John van GenderenRemote Sensing Image Fusion: A Practical Guide gives an introduction to remote sensing image fusion providing an overview on the sensors and applications. It describes data selection, application requirements and the choice of a suitable image fusion technique. It comprises a diverse selection of successful image fusion cases that are relevant to other users and other areas of interest around the world. The book helps newcomers to obtain a quick start into the practical value and benefits of multi-sensor image fusion. Experts will find this book useful to obtain an overview on the state of the art and understand current constraints that need to be solved in future research efforts. For industry professionals the book can be a great introduction and basis to understand multisensor remote sensing image exploitation and the development of commercialized image fusion software from a practical perspective. The book concludes with a chapter on current trends and future developments in remote sensing image fusion. Along with the book, RSIF website provides additional up-to-date information in the field.
Remote Sensing Image Processing Algorithms for Detecting Air Turbulence Patterns
by Maged MarghanyInjuries due to air turbulence has increased recently, therefore there is considerable concern and interest in understanding and detecting it more accurately. Presently hardly any research deals with air turbulence detection using remote sensing images. Most works use conventional optical remote sensing data with classical methods such as a library spectral signature, band ratio, and principal component analysis without designating new methods and technology. Very little research has attempted to implement optical and microwave remote sensing images for air turbulence detections.This book provides new image processing procedures for air turbulence detection using advanced remote sensing images and quantum image processing. Currently, there is a huge gap between research work in the field of air turbulence detection and advanced remote sensing technology. Most of the theories are not operated in terms of software modules. Most of the software packages in the field of remote sensing images cannot deal with advanced image processing techniques in air turbulence detections due to heavy mathematics work. In this view, this book fills a gap between advanced remote sensing technology and air turbulence detection. For instance, quantum image processing with a new generation of remote sensing technology such as RADARSAT-2 SAR images is also implemented to provide accurate air turbulence detections.
Remote Sensing Intelligent Interpretation for Geology: From Perspective of Geological Exploration
by Weitao Chen Xianju Li Xuwen Qin Lizhe WangThis book presents the theories and methods for geology intelligent interpretation based on deep learning and remote sensing technologies. The main research subjects of this book include lithology and mineral abundance. This book focuses on the following five aspects: 1. Construction of geology remote sensing datasets from multi-level (pixel-level, scene-level, semantic segmentation-level, prior knowledge-assisted, transfer learning dataset), which are the basis of geology interpretation based on deep learning. 2. Research on lithology scene classification based on deep learning, prior knowledge, and remote sensing. 3. Research on lithology semantic segmentation based on deep learning and remote sensing. 4. Research on lithology classification based on transfer learning and remote sensing. 5. Research on inversion of mineral abundance based on the sparse unmixing theory and hyperspectral remote sensing. The book is intended for undergraduate and graduate students who are interested in geology, remote sensing, and artificial intelligence. It is also used as a reference book for scientific and technological personnel of geological exploration.
Remote Sensing Intelligent Interpretation for Mine Geological Environment: From Land Use and Land Cover Perspective
by Weitao Chen Xianju Li Lizhe WangThis book examines the theory and methods of remote sensing intelligent interpretation based on deep learning. Based on geological and environmental effects on mines, this book constructs a set of systematic mine remote sensing datasets focusing on the multi-level task with the system of “target detection→scene classification→semantic segmentation." Taking China’s Hubei Province as an example, this book focuses on the following four aspects: 1. Development of a multiscale remote sensing dataset of the mining area, including mine target remote sensing dataset, mine (including non-mine areas) remote sensing scene dataset, and semantic segmentation remote sensing dataset of mining land cover. The three datasets are the basis of intelligent interpretation based on deep learning. 2. Research on mine target remote sensing detection method based on deep learning. 3. Research on remote sensing scene classification method of mine and non-mine areas based on deep learning. 4. Research on the fine-scale classification method of mining land cover based on semantic segmentation.The book is a valuable reference both for scholars, practitioners and as well as graduate students who are interested in mining environment research.
Remote Sensing Land Surface Changes: The 1981-2020 Intensive Global Warming
by Felix KoganThis book discusses the detrimental consequences of climate-related land changes over a 40-year period between 1981 and 2020, and focuses on how climate warming is deteriorating the agricultural system due to excessive heat, lack of moisture and more intensive and widespread droughts leading to a reduction of agricultural production. Most of the existing literature on the unfavourable consequences of global warming for land are based on a relatively short period of weather station data, covering local land areas with limited networks and monitoring parameters. These concerns have led to the use of satellite data, whose measurements are controlled by such vegetation characteristics as chlorophyll, carotenoids, moisture contents in the plants and temperature inside the vegetation community. Therefore, the discussion of this book is completely based on high-resolution global land surface measurements by the sensors on the National Oceanic and Atmospheric Administration’s (NOAA) operational afternoon polar-orbiting satellites. The book also focuses on understanding climate change impacts on land changes where humans are living, and combines biophysically-grounded methods and the 40-year data to develop models for monitoring large-scale Earth warming impacts on land and for timely prediction of climate consequences for humans. These 40-year trends in land characteristics will help to better inform the assessment of potential changes in the future and how to reach human sustainability. The book will of interest to scientists using satellite remote sensing to track climate change impacts on land over time, as well as students and researchers in climatology and environmental sustainability.
Remote Sensing Monitoring and Evaluation of Degraded Grassland in China: Accounting of Grassland Carbon Source and Carbon Sink (Springer Geography)
by Wei Zhou Jianlong Li Tianxiang YueThis book focuses on grassland ecosystem evaluation including vegetation coverage, net primary productivity, carbon sink accounting, and grassland degradation evaluation based on mutual data resource, ecosystem model simulation, remote sensing monitoring and driving mechanism exploration. It aims to provide a guide seeking to understand the overall situation of grassland in China in the context of global climate change and build a scenario for the driving force quantitative evaluation. It will be an essential reference to the terrestrial ecosystem carbon cycle and degraded grassland ecological restoration engineer implementation. Chapters are carefully developed to cover (1) situation of grassland in China; (2) spatial-temporal of grassland coverage in China;(3) net primary productivity evaluation; (4) carbon sink/source accounting and its carbon-hydrology effect;(5) grassland landscape pattern; (6) grassland degradation evaluation based on remote sensing;(7) Grassland degradation restoration and constructing green ecological protective screen. The new scenario and driving mechanism evaluation model make this book a valuable read for researcher of land ecosystem carbon cycle, ecosytem degradation remote sensing evaluation as well as organizations engaged in eco-restoration practices.
Remote Sensing of African Mountains: Geospatial Tools Toward Sustainability
by Samuel Adelabu Abel Ramoelo Adeyemi Olusola Efosa AdagbasaThis edited volume focuses on the use of remote sensing techniques to assess and monitor mountainous ecosystems in Africa, with a focus on tracking changes related to climate change and human activity. The book is timely, as the interaction of mountain environmental dynamics with conservation and sustainability is an under-researched issue. The chapters in this volume use remotely sensed data to study a variety of topics related to mountains and their ecosystems, including but not limited to vegetation, energy systems, environmental hazards, ecosystem services, diseases, climatic shifts, geological formations and geomorphological dynamics. The ability to monitor, assess and analyze mountainous regions is aided by the availability of remote sensing products such as optical and microwave sensors and low-cost unmanned aerial vehicles (UAVs). The works presented here push the frontier of knowledge on mountain studies and will help shape local, national and global assessments and policies, including efforts toward the achievement of the African Agenda 2063. The book will be of interest to researchers and students in remote sensing, geography, ecology and sustainability, as well as to government organizations and conservation specialists.
Remote Sensing of Agriculture and Land Cover/Land Use Changes in South and Southeast Asian Countries
by Krishna Prasad Vadrevu Thuy Le Toan Shibendu Shankar Ray Chris JusticeThis book sheds new light on the remote sensing of agriculture in South/Southeast Asian (S/SEA) countries. S/SEA countries are growing rapidly in terms of population, industrialization, and urbanization. One of the critical challenges in the region is food security. In S/SEA, although total food production and productivity have increased in previous decades, in recent years, the growth rate of food production has slowed down, mostly due to land use change, market forces and policy interventions. Further, the weather and climate systems in the region driven primarily by monsoon variability are resulting in droughts or flooding, impacting agricultural production. Therefore, monitoring crops, including agricultural land cover changes at regular intervals, is essential to predict and prepare for disruptions in the food supply in the S/SEA countries. The current book captures the latest research on the remote sensing of agricultural land cover/ land use changes, including mapping and monitoring crops, crop yields, biophysical parameter retrievals, multi-source data fusion for agricultural applications, and chapters on decision making and early warning systems for food security. The authors of this book are international experts in the field, and their contributions highlight the use of remote sensing and geospatial technologies for agricultural research and applications in South/Southeast Asia.
Remote Sensing of Clouds and Precipitation (Springer Remote Sensing/photogrammetry Ser.)
by Constantin AndronacheThis 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.
Remote Sensing of Coastal Environments (Remote Sensing Applications Series)
by Yeqiao WangAs coastal environments around the world face unprecedented natural and anthropogenic threats, advancements in the technologies that support geospatial data acquisition, imaging, and computing have profoundly enhanced monitoring capabilities in coastal studies. Providing systematic treatment of the key developments, Remote Sensing of Coastal Enviro
Remote Sensing of Energy Fluxes and Soil Moisture Content
by George P. PetropoulosIntegrating decades of research conducted by leading scientists in the field, Remote Sensing of Energy Fluxes and Soil Moisture Content provides an overview of state-of-the-art methods and modeling techniques employed for deriving spatio-temporal estimates of energy fluxes and soil surface moisture from remote sensing. It also underscores the range
Remote Sensing of Glaciers: Techniques for Topographic, Spatial and Thematic Mapping of Glaciers
by Petri Pellikka W. Gareth ReesGlaciers and ice sheets have been melting significantly during recent decades, posing environmental threats at local, regional and global scales. Changes in glaciers are one of the clearest indicators of alterations in regional climate, since they are governed by changes in accumulation (from snowfall) and ablation (by melting of ice). Glacier chan
Remote Sensing of Impervious Surfaces in Tropical and Subtropical Areas (Remote Sensing Applications Series)
by Hongsheng Zhang Hui Lin Yuanzhi Zhang Qihao WengRemote Sensing of Impervious Surfaces in Tropical and Subtropical Areas offers a complete and thorough system for using optical and synthetic aperture radar (SAR) remote sensing data for improving impervious surface estimation (ISE). Highlighting tropical and subtropical areas where there is significant cloud occurrence and varying phenology, the b