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The field of remote sensing image analysis is constantly evolving. However, processing high-resolution images and comprehending the black boxes in land surface analysis and object recognition poses significant challenges. The need for a deeper exploration of these areas has become more pressing due to climate change, global security concerns, and border monitoring issues. With the surge in demand for satellite image analysis and advancements in deep learning techniques and remote sensing technologies, it has become necessary to have a comprehensive guide to navigate these complexities. Deep Cognitive Modelling in Remote Sensing Image Processing is a groundbreaking solution to these challenges. This book delves into the depths of deep learning techniques and cognitive modeling to offer insights and solutions for optimizing existing models while simplifying the processing of high-resolution remote sensing images. By focusing on deep cognitive modeling, the book provides a framework for understanding and addressing the black boxes in land surface analysis and object recognition, empowering researchers and professionals to make meaningful advancements in the field. This book, tailored for professionals and researchers in computer sciences, remote sensing, and related fields, explores cognitive algorithms, mathematical modeling, object localization, image segmentation, machine learning, and profound learning advancements. Through a collection of research articles and case studies, this book equips readers with the knowledge and tools needed to navigate and innovate in remote sensing image analysis, making it an indispensable resource in the era of rapidly advancing technology and increasing demands for satellite image analysis.

The third edition of the bestselling Classification Methods for Remotely Sensed Data covers current state-of-the-art machine learning algorithms and developments in the analysis of remotely sensed data. This book is thoroughly updated to meet the needs of readers today and provides six new chapters on deep learning, feature extraction and selection, multisource image fusion, hyperparameter optimization, accuracy assessment with model explainability, and object-based image analysis, which is relatively a new paradigm in image processing and classification. It presents new AI-based analysis tools and metrics together with ongoing debates on accuracy assessment strategies and XAI methods.New in this edition: Provides comprehensive background on the theory of deep learning and its application to remote sensing data. Includes a chapter on hyperparameter optimization techniques to guarantee the highest performance in classification applications. Outlines the latest strategies and accuracy measures in accuracy assessment and summarizes accuracy metrics and assessment strategies. Discusses the methods used for explaining inherent structures and weighing the features of ML and AI algorithms that are critical for explaining the robustness of the models. This book is intended for industry professionals, researchers, academics, and graduate students who want a thorough and up-to-date guide to the many and varied techniques of image classification applied in the fields of geography, geospatial and earth sciences, electronic and computer science, environmental engineering, etc.

Light detection and ranging, or LiDAR, is an advanced active remote sensing technology developed in the last 30 years to measure variable distances to the Earth. This book explains the fundamental concepts of LiDAR technology and its extended spaceborne, airborne, terrestrial, mobile, and unmanned aerial vehicle (UAV) platforms. It addresses the challenges of massive LiDAR data intelligent processing, LiDAR software engineering, and in-depth applications. The theory and algorithms are integrated with multiple applications in a systematic way and with step-by-step instructions. Written for undergraduate and graduate students and practitioners in the field of LiDAR remote sensing, this book is a much-needed comprehensive resource.FEATURES Explains the fundamentals of LiDAR remote sensing, including theory, techniques, methods, and applications Highlights the dissemination and popularization of LiDAR remote sensing technology in the last decade Includes new advances in LiDAR data processing and applications Introduces new technologies such as spaceborne LiDAR and photon-counting LiDAR Provides multiple LiDAR application cases regarding topography mapping, forest investigation, power line inspection, building modeling, automatic driving, crop monitoring, indoor navigation, cultural heritage conservation, and underwater mapping This book is written for graduate and upper-level undergraduate students taking courses in remote sensing, geography, photogrammetric engineering, laser techniques, surveying and mapping, geographic information systems (GIS), forestry, and resources and environmental protection. It is also a comprehensive resource for researchers and scientists interested in learning techniques for collecting LiDAR remote sensing data and processing, analyzing, and managing LiDAR data for applications in forestry, surveying and mapping, cultural relic protection, and digital products.Chapters 1 and 2 of this book are freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.

Discover The Geographic Approach to help restore, preserve, and protect the environment.As we continue to uncover and learn about ecological challenges facing our planet, the job of environmental and natural resource management organizations is becoming increasingly difficult. Finding a Sustainable Balance: GIS for Environmental Management explores a collection of real-life stories about how environmental and natural resource management organizations successfully use geographic information systems (GIS) to monitor environmental assets in real time and provide transparency for better outcomes for all, to track environmental assets, and to prevent environmental hazards from becoming disasters.Learn how GIS can help improve operations acrossland and wildlife management,outdoor recreation, andenvironmental regulation.The book also includes a section on next steps that provides helpful ideas, strategies, tools, and actions to help jump-start your use of GIS for environmental management. A collection of online resources, including additional stories, videos, new ideas and concepts, and downloadable tools and content, complements this book.

This book elaborates fuzzy machine and deep learning models for single class mapping from multi-sensor, multi-temporal remote sensing images while handling mixed pixels and noise. It also covers the ways of pre-processing and spectral dimensionality reduction of temporal data. Further, it discusses the ‘individual sample as mean'training approach to handle heterogeneity within a class. The appendix section of the book includes case studies such as mapping crop type, forest species, and stubble burnt paddy fields.Key features: Focuses on use of multi-sensor, multi-temporal data while handling spectral overlap between classes Discusses range of fuzzy/deep learning models capable to extract specific single class and separates noise Describes pre-processing while using spectral, textural, CBSI indices, and back scatter coefficient/Radar Vegetation Index (RVI) Discusses the role of training data to handle the heterogeneity within a class Supports multi-sensor and multi-temporal data processing through in-house SMIC software Includes case studies and practical applications for single class mapping This book is intended for graduate/postgraduate students, research scholars, and professionals working in environmental, geography, computer sciences, remote sensing, geoinformatics, forestry, agriculture, post-disaster, urban transition studies, and other related areas.

This book presents the current research on space-based navigation models and the contents of spaces used for seamless indoor and outdoor navigation. It elaborates on 3D spaces reconstructed automatically and how indoor, semi-indoor, semi-outdoor, and outdoor spaces can mimic the indoor environments and originate a network based on the 3D connectivity of spaces. Case studies help readers understand theories, approaches, and models, including data preparation, space classification and reconstruction, space selection, unified space-based navigation model derivation, path planning, and comparison of results.Features: Provides novel models, theories, and approaches for seamless indoor and outdoor navigation path planning Includes real-life case studies demonstrating the most feasible approaches today Presents a generic space definition framework that can be used in research areas for spaces shaped by built structures Develops a unified 3D space-based navigation model that allows the inclusion of all types of spaces as 3D spaces and utilizes them for seamless navigation in a unified way Intended to motivate further research and developments, this book suits students, researchers, and practitioners in the field, and serves as a helpful introductory text for readers wanting to engage in seamless indoor/outdoor navigation research and teaching.

Now in full color, the sixth edition of this leading text features new chapters on remote sensing platforms (including the latest satellite and unmanned aerial systems), agriculture (including agricultural analysis via satellite imagery), and forestry (including fuel type mapping and fire monitoring). The book has introduced tens of thousands of students to the fundamentals of collecting, analyzing, and interpreting remotely sensed images. It presents cutting-edge tools and practical applications to land and water use analysis, natural resource management, climate change adaptation, and more. Each concise chapter is designed as an independent unit that instructors can use in any sequence. Pedagogical features include over 400 figures, chapter-opening lists of topics, case studies, end-of-chapter review questions, and links to recommended online videos and tutorials. New to This Edition •Discussions of Landsat 8 and Sentinel-2; the growth of unmanned aerial systems; mobile data collection; current directions in climate change detection, fire monitoring, and disaster response; and other timely topics. •Additional cases, such as river erosion; the impact of Hurricane Sandy on Mantoloking, New Jersey; and Miami Beach as an exemplar of challenges in coastal communities. •Revised throughout with 60% new material, including hundreds of new full-color figures. •New chapters on remote sensing platforms, agriculture, and forestry.

Volume 1: Spatio-Temporal Monitoring of Forests and Climate is aimed to describe the recent progress and developments of geospatial technologies (remote sensing and GIS) for assessing, monitoring and managing fragile Himalayan ecosystems and their sustainability under climate change. It is a collective research contribution from renowned researchers and academicians working in the Hindu Kush Himalayan (HKH) mountain range. The Himalayas ecosystems have been facing substantial transformation due to severe environmental conditions, land transformation, forest degradation and fragmentation. The authors utilized satellite datasets and algorithms to discuss the intricacy of land use/land cover change, forest and agricultural ecosystems, canopy height estimation, above-ground biomass, wildfires, carbon sequestration, and landscape restoration. Furthermore, the potential impacts of climate change on ecosystems, biodiversity and future food and nutritional security are also addressed including the impact on the livelihood of people of the Himalayas. This comprehensive Handbook explains the advanced geospatial technologies for mapping and management of natural resources of the Himalayas.Key Features Explains multiple aspects of geospatial technologies for studying fragile Himalayan ecosystems and sustainability Focuses on the utility of interferometric synthetic aperture radar (SAR) modeling for canopy height Explain how remote sensing techniques are useful for deriving the above-ground biomass, gross primary productivity (GPP), and carbon fluxes Addresses how geospatial technologies are valuable for understanding vegetation dynamics, composition and landscape restoration due to shifts in timberline and forest fires Includes contributions from global professionals working in the HKH mountain range Readership The Handbook serves as a valuable reference for students, researchers, scientists, ecologists, agricultural scientists, meteorologists, decision makers and all others who wish to advance their knowledge on vegetation remote sensing considering climate change in the HKH region.

Re-envisioning Advances in Remote Sensing: Urbanization, Disasters and Planning aims at portraying varied advancements in remote sensing applications, particularly in the fields of urbanization, disaster management and regional planning perspectives. The book is organized into three sections of overlapping areas of research covering chief remote sensing applications. Apart from introducing the advances in remote sensing through Indian remote sensing developments, it depicts the broader themes of: urbanization and its impacts; geospatial technology for disaster management; and, remote sensing applications in models and planning. It also provides outlook to future research agenda for remote sensing. Features: • Depicts advances in remote sensing in major fields through applications of geospatial technologies.• Covers remote sensing applications in varied aspects of urbanization, urban problems and disasters. • Includes advancements in remote sensing in model building and planning perspectives.• Analyses the usage of smartphones and other digital devices in mapping urban problems and monitoring disaster risks.• Explores future agenda for remote sensing advances and its ever-widening horizon.This book would be of interest to all the researchers and graduate students pursuing studies in the fields of remote sensing, GIS, geospatial technologies, urbanizations, disaster management, regional planning, environmental sciences, natural resource management and related fields.

Volume 2: Handbook of Spatio-Temporal Monitoring of Water Resources and Climate is aimed to describe the current state of knowledge and developments of geospatial technologies (Remote Sensing and Geographic Information Systems) for assessing and managing water resources under climate change. It is a collective achievement of renowned researchers and academicians working in the Hindu Kush Himalayan (HKH) mountain range. The HKH region is a part of the Third Pole outside the polar regions due to its largest permanent snow cover. Importantly, the Himalayan belt is geologically fragile and vulnerable to geohazards (e.g. landslides, land subsidence, rockfalls, debris flow, avalanches, and earthquakes). Therefore, critical assessment and geospatial solutions are indispensable to safeguard the natural resources and human beings in the Himalayas using space-borne satellite datasets. This book also showcases various remote sensing techniques and algorithms in the field of urban sprawling, urban microclimate and air pollution. The potential impacts of climate change on the cryosphere and water resources are also highlighted. This comprehensive Handbook is highly interdisciplinary and explains the role of geospatial technologies in studying the water resources of the Himalayas considering climate change.Key Features This book is unique as it focuses on the utility of satellite data for monitoring snow cover variability, snowmelt runoff, glacier lakes, avalanche susceptibility and flood modeling. Explain how Remote Sensing techniques are useful for mapping and managing the morphology and ecology of the Himalayan River. Addresses how geospatial technologies are valuable for understanding climate change impact on hydrological extremes, the potential impact of land use/land cover change (LULC) on hydrology and water resources management. It highlights the impact of LULC changes on land surface temperature, groundwater, and air pollution in urban areas. Includes contributions from global professionals working in the HKH region. ReadershipThe Handbook serves as a valuable reference for students, researchers, scientists, Hydrologists, hydro-ecologists, meteorologists, geologists, decision makers and all others who wish to advance their knowledge on monitoring and managing water resources and urban ecosystem using remote sensing in the HKH region considering climate change.

Re-envisioning Remote Sensing Applications: Perspectives from Developing Countries aims at discussing varied applications of remote sensing, with respect to upcoming technologies with diverse themes. Organized into four sections of overlapping areas of research, the book covers chapters with themes related to agriculture, soil and land degradation studies; hydrology, microclimates and climate change impacts; land use/land cover analysis applications; resource analysis and bibliometric studies, culminating with future research agenda. All the topics are supported via case studies and spatial data analysis. Features: Provides the applications of remote sensing in all fields through varied case studies and spatial data analysis Includes soil and land degradation, microclimates, and climate change impacts Covers remote sensing applications in broad areas of agriculture, hydrology, land use/land cover change and resource analysis Discusses usage of GPS-enabled smartphones and digital gadgets used for mapping and spatial analysis Explores future research agenda for applications of remote sensing in post-COVID scenario This book is of interest to researchers and graduate students in environmental sciences, remote sensing, GIS, agricultural scientists and managers, forestry scientists and managers, and water resources scientists and managers.

This book offers a comprehensive and detailed guide for users to perform remote sensing and GIS operations using free and open-source software, specifically R. It is suitable for users who have a basic understanding of remote sensing and GIS but have limited knowledge of R software. The book introduces the R software and provides step-by-step instructions for downloading and installing it. It offers R-codes for tasks such as loading and plotting both raster and vector data, pre-processing and filtering raster data, processing vector data, unsupervised and supervised classification of raster data, and thematic mapping of both raster and vector data. Furthermore, it provides R-codes for advanced machine learning algorithms like random forest and support vector machine for supervised classification of raster data. This book is ideal for users who do not have access to expensive paid software for GIS and digital image processing. An additional DVD with sample data for practice is included, allowing users to gain hands-on experience with the R-codes provided in the book. This book can also serve as a useful training manual for performing digital image analysis and GIS operations using R software.

The field of geomorphology is dedicated to the examination of the external landscape and architecture of the Earths crust. This study serves as a testament to both the past and present geomorphic and dynamic activities that have shaped the Earth. Additionally, it provides insight into the evolution of the Earth and its resources, environment, and ecosystems, as well as its susceptibility to disasters. The use of remote sensing technology has significantly expanded the scope of geomorphology, allowing for the easy fabrication and animation of modern geological and geomorphic processes.

Fundamentals of Satellite Remote Sensing: An Environmental Approach, Third Edition, is a definitive guide to remote sensing systems that focuses on satellite-based remote sensing tools and methods for space-based Earth observation (EO). It presents the advantages of using remote sensing data for studying and monitoring the planet, and emphasizes concepts that make the best use of satellite data. The book begins with an introduction to the basic processes that ensure the acquisition of space-borne imagery, and provides an overview of the main satellite observation systems. It then describes visual and digital image analysis, highlights various interpretation techniques, and outlines their applications to science and management. The latter part of the book covers the integration of remote sensing with Geographic Information System (GIS) for environmental analysis. This latest edition has been written to reflect a global audience and covers the most recent advances incorporated since the publication of the previous book, relating to the acquisition and interpretation of remotely sensed data.New in the Third Edition: Includes additional illustrations in full color. Uses sample images acquired from different ecosystems at different spatial resolutions to illustrate different interpretation techniques. Includes updated EO missions, such as the third generations of geostationary meteorological satellites, the new polar orbiting platforms (Suomi), the ESA Sentinels program, and high-resolution commercial systems. Includes extended coverage of radar and LIDAR processing methods. Includes all new information on near-ground missions, including unmanned aerial vehicles (UAVs). Covers new ground sensors, as well as machine-learning approaches to classification. Adds more focus on land surface characterization, time series, change detection, and ecosystem processes. Extends the interactions of EO data and GIS that cover different environmental problems, with particular relevance to global observation. Fundamentals of Satellite Remote Sensing: An Environmental Approach, Third Edition, details the tools that provide global, recurrent, and comprehensive views of the processes affecting the Earth. As one of CRC's Essential titles, this book and stands out as one of the best in its field and is a must-have for researchers, academics, students, and professionals involved in the field of environmental science, as well as for libraries developing collections on the forefront of this industry.

This book provides a step-by-step guide on how to use various publicly available remotely sensed time series data sources for environmental monitoring and assessment. Readers will learn how to extract valuable information on global changes from a 20-year collection of ready-to-use remotely sensed data through the free open statistical software R and its geographic data analysis and modeling tools. The case studies are from the Mediterranean region—a designated hot spot regarding climate change effects. Each chapter is dedicated to specific remote sensing products chosen for their spatial resolution. The methods used are adapted from large-scale to smaller-scale problems for different land cover areas.Features Includes real-world applications of environmental remotely sensed data Analyzes the advantages and restrictions of each data source Focuses on a wide spectrum of applications, such as hydrology, vegetation changes, land surface temperature, fire detection, and impacts Includes R computer codes with explanatory comments and all applications use only freely available remotely sensed data Presents a step-by-step processing through open source GIS and statistical analysis software Advanced Environmental Monitoring with Remote Sensing Time Series Data and R describes and provides details on recent advances concerning publicly available remotely sensed time series data in environmental monitoring and assessment. This book is a must-have practical guide for environmental researchers, professionals, and students.

This is a book about how ecologists can integrate remote sensing and GIS in their research. It will allow readers to get started with the application of remote sensing and to understand its potential and limitations. Using practical examples, the book covers all necessary steps from planning field campaigns to deriving ecologically relevant information through remote sensing and modelling of species distributions. An Introduction to Spatial Data Analysis introduces spatial data handling using the open source software Quantum GIS (QGIS). In addition, readers will be guided through their first steps in the R programming language. The authors explain the fundamentals of spatial data handling and analysis, empowering the reader to turn data acquired in the field into actual spatial data. Readers will learn to process and analyse spatial data of different types and interpret the data and results. After finishing this book, readers will be able to address questions such as “What is the distance to the border of the protected area?”, “Which points are located close to a road?”, “Which fraction of land cover types exist in my study area?” using different software and techniques. This book is for novice spatial data users and does not assume any prior knowledge of spatial data itself or practical experience working with such data sets. Readers will likely include student and professional ecologists, geographers and any environmental scientists or practitioners who need to collect, visualize and analyse spatial data. The software used is the widely applied open source scientific programs QGIS and R. All scripts and data sets used in the book will be provided online at book.ecosens.org. This book covers specific methods including: what to consider before collecting in situ data how to work with spatial data collected in situ the difference between raster and vector data how to acquire further vector and raster data how to create relevant environmental information how to combine and analyse in situ and remote sensing data how to create useful maps for field work and presentations how to use QGIS and R for spatial analysis how to develop analysis scripts

Advanced Remote Sensing: Terrestrial Information Extraction and Applications, Second Edition, is a thoroughly updated application-based reference that provides a single source on the mathematical concepts necessary for remote sensing data gathering and assimilation. It presents state-of-the-art techniques for estimating land surface variables from a variety of data types, including optical sensors like RADAR and LIDAR. The book provides scientists in a number of different fields, including geography, geophysics, geology, atmospheric science, environmental science, planetary science and ecology with access to critically-important data extraction techniques and their virtually unlimited applications. While rigorous enough for the most experienced of scientists, the techniques presented are well designed and integrated, making the book's content intuitive and practical in its implementation. - Provides a comprehensive overview of many practical methods and algorithms - Offers descriptions of the principles and procedures of the state-of-the-art in remote sensing - Includes real-world case studies and end-of-chapter exercises - Contains thoroughly revised chapters, newly developed applications and updated examples

The ability to anticipate the impacts of global environmental changes on natural resources is fundamental to designing appropriate and optimised adaptation and mitigation strategies. However, this requires the scientific community to have access to reliable, large-scale information on spatio-temporal changes in the distribution of abiotic conditions and on the distribution, structure, composition, and functioning of ecosystems. Satellite remote sensing can provide access to some of this fundamental data by offering repeatable, standardised, and verifiable information that is directly relevant to the monitoring and management of our natural capital. This book demonstrates how ecological knowledge and satellite-based information can be effectively combined to address a wide array of current natural resource management needs. By focusing on concrete applied examples in both the marine and terrestrial realms, it will help pave the way for developing enhanced levels of collaboration between the ecological and remote sensing communities, as well as shaping their future research directions. Satellite Remote Sensing and the Management of Natural Resources is primarily aimed at ecologists and remote sensing specialists, as well as policy makers and practitioners in the fields of conservation biology, biodiversity monitoring, and natural resource management.

High spatial resolution remote sensing is an area of considerable current interest and builds on developments in object-based image analysis, commercial high-resolution satellite sensors, and UAVs. It captures more details through high and very high resolution images (10 to 100 cm/pixel). This unprecedented level of detail offers the potential extraction of a range of multi-resource management information, such as precision farming, invasive and endangered vegetative species delineation, forest gap sizes and distribution, locations of highly valued habitats, or sub-canopy topographic information. Information extracted in high spatial remote sensing data right after a devastating earthquake can help assess the damage to roads and buildings and aid in emergency planning for contact and evacuation.To effectively utilize information contained in high spatial resolution imagery, High Spatial Resolution Remote Sensing: Data, Analysis, and Applications addresses some key questions: What are the challenges of using new sensors and new platforms? What are the cutting-edge methods for fine-level information extraction from high spatial resolution images? How can high spatial resolution data improve the quantification and characterization of physical-environmental or human patterns and processes? The answers are built in three separate parts: (1) data acquisition and preprocessing, (2) algorithms and techniques, and (3) case studies and applications. They discuss the opportunities and challenges of using new sensors and platforms and high spatial resolution remote sensing data and recent developments with a focus on UAVs. This work addresses the issues related to high spatial image processing and introduces cutting-edge methods, summarizes state-of-the-art high spatial resolution applications, and demonstrates how high spatial resolution remote sensing can support the extraction of detailed information needed in different systems. Using various high spatial resolution data, the third part of this book covers a range of unique applications, from grasslands to wetlands, karst areas, and cherry orchard trees.

Comprehensive Remote Sensing, Nine Volume Set covers all aspects of the topic, with each volume edited by well-known scientists and contributed to by frontier researchers. It is a comprehensive resource that will benefit both students and researchers who want to further their understanding in this discipline. The field of remote sensing has quadrupled in size in the past two decades, and increasingly draws in individuals working in a diverse set of disciplines ranging from geographers, oceanographers, and meteorologists, to physicists and computer scientists. Researchers from a variety of backgrounds are now accessing remote sensing data, creating an urgent need for a one-stop reference work that can comprehensively document the development of remote sensing, from the basic principles, modeling and practical algorithms, to various applications. - Fully comprehensive coverage of this rapidly growing discipline, giving readers a detailed overview of all aspects of Remote Sensing principles and applications - Contains'Layered content', with each article beginning with the basics and then moving on to more complex concepts - Ideal for advanced undergraduates and academic researchers - Includes case studies that illustrate the practical application of remote sensing principles, further enhancing understanding

Human factors play a critical role in the design and interpretation of remotely sensed imagery for all Earth sciences. Remote Sensing and Cognition: Human Factors in Image Interpretation brings together current topics widely recognized and addressed regarding human cognition in geographic imagery, especially remote sensing imagery with complex data. It addresses themes around expertise including methods for knowledge elicitation and modeling of expertise, the effects of different aspects of realism on the interpretation of the environment, spatial learning using imagery, the effect of visual perspective on interpretation, and a variety of technologies and methods for utilizing knowledge in the analysis of remote sensing imagery.Written by leaders in the field, this book provides answers to the host of questions raised at the nexus of psychology and remote sensing. Academics and researchers with an interest in the human issues surrounding the use of remote sensing data will find this book to be an invaluable resource. The topics covered in this book are useful for both the scientific analysis of remote sensing imagery as well as the design and display of remote sensing imagery to facilitate a variety of other tasks including education and wayfinding. Features Brings together remote sensing, environmental, and computer scientists discussing their work from a psychological or human factors perspective Answers questions related to aesthetics of scientific visualization and mathematical analysis of perceptible objects Explains the perception and interpretation of realistic representations Provides illustrative real-world examples Shows how the features of display symbols, elements, and patterns have clear effects on processes of perception and visual search

Ideal for both undergraduate and graduate students in the fields of geography, forestry, ecology, geographic information science, remote sensing, and photogrammetric engineering, LiDAR Remote Sensing and Applications expertly joins LiDAR principles, data processing basics, applications, and hands-on practices in one comprehensive source.The LiDAR data within this book is collected from 27 areas in the United States, Brazil, Canada, Ghana, and Haiti and includes 183 figures created to introduce the concepts, methods, and applications in a clear context. It provides 11 step-by-step projects predominately based on Esri's ArcGIS software to support seamless integration of LiDAR products and other GIS data. The first six projects are for basic LiDAR data visualization and processing and the other five cover more advanced topics: from mapping gaps in mangrove forests in Everglades National Park, Florida to generating trend surfaces for rock layers in Raplee Ridge, Utah. Features Offers a comprehensive overview of LiDAR technology with numerous applications in geography, forestry and earth science Gives necessary theoretical foundations from all pertinent subject matter areas Uses case studies and best practices to point readers to tools and resources Provides a synthesis of ongoing research in the area of LiDAR remote sensing technology Includes carefully selected illustrations and data from the authors'research projects Before every project in the book, a link is provided for users to download data

Integrating Scale in Remote Sensing and GIS serves as the most comprehensive documentation of the scientific and methodological advances that have taken place in integrating scale and remote sensing data. This work addresses the invariants of scale, the ability to change scale, measures of the impact of scale, scale as a parameter in process models, and the implementation of multiscale approaches as methods and techniques for integrating multiple kinds of remote sensing data collected at varying spatial, temporal, and radiometric scales. Researchers, instructors, and students alike will benefit from a guide that has been pragmatically divided into four thematic groups: scale issues and multiple scaling; physical scale as applied to natural resources; urban scale; and human health/social scale. Teeming with insights that elucidate the significance of scale as a foundation for geographic analysis, this book is a vital resource to those seriously involved in the field of GIScience.

Imagery and GIS, working together, expand our perspective so that we can better perceive and understand The Science of Where™. Today, most maps include imagery in the form of aerial photos, satellite images, thermal images, digital elevation models, and scanned maps. Imagery and GIS: Best Practices for Extracting Information from Imagery shows how imagery can be integrated successfully into GIS maps and analysis. In this essential reference, discover how imagery brings value to GIS and how GIS can be used to derive value from imagery. Learn from case studies and in-depth explanations about selecting the ‘right'imagery, image analysis, how to efficiently manage and serve imagery datasets, and how to accurately extract information from imagery. The authors'experience working together on numerous research, teaching, and operational remote sensing and GIS applications bestow the book with both the newest innovations, as well as proven advice. Apply the best practices found in Imagery and GIS: Best Practices for Extracting Information from Imagery to obtain the most value from imagery in your own GIS projects.

The impacts of climate change are beginning to be felt throughout the world, yet there is no clear explanation as to how these changes will alter our future. The research being conducted within the geospatial science field is pivotal to understanding the effects the global environment is experiencing. The Handbook of Research on Geospatial Science and Technologies is an essential scholarly reference source that evaluates the current methodologies and trends in geospatial science, and how these insights provide society with more efficient and effective ways to manage natural resources. Featuring discussions on relevant topics such as cartography, geographical information systems, remotely sensed data, and sustainability management, this publication is an informative resource for all academicians, students, scientists, and researchers that are interested in emerging developments within geospatial science.

Remote sensing is a fast-growing field with many important applications as demonstrated in the numerous scientific missions of the Earth Observation System (EOS) worldwide. Given the inter-disciplinary nature of remote sensing technologies, the fulfillment of these scientific goals calls for, among other things, a fundamental understanding of the complex interaction between electromagnetic waves and the targets of interest.Using a systematic treatment, Electromagnetic Scattering: A Remote Sensing Perspective presents some of the recently advanced methods in electromagnetic scattering, as well as updates on the current progress on several important aspects of such an interaction. The book covers topics including scattering from random rough surfaces of both terranean and oceanic natures, scattering from typical man-made targets or important canonical constituents of natural scenes, such as a dielectric finite cylinder or dielectric thin disk, the characterization of a natural scene as a whole represented as a random medium, and the extraction of target features with a polarimetric radar.

Advanced imaging spectral technology and hyperspectral analysis techniques for multiple applications are the key features of the book. This book will present in one volume complete solutions from concepts, fundamentals, and methods of acquisition of hyperspectral data to analyses and applications of the data in a very coherent manner. It will help readers to fully understand basic theories of HRS, how to utilize various field spectrometers and bioinstruments, the importance of radiometric correction and atmospheric correction, the use of analysis, tools and software, and determine what to do with HRS technology and data.

This book presents the fundamentals of polarimetric radar remote sensing through understanding wave scattering and propagation in geophysical media filled with hydrometers and other objects. The text characterizes the physical, statistical, and electromagnetic properties of hydrometers and establishes the relations between radar observables and physical state parameters. It introduces advanced remote sensing techniques (such as polarimetric phased array radar) and retrieval methods for physical parameters. The book also illustrates applications of polarimetric radar measurements in hydrometer classification, particle size distribution retrievals, microphysical parameterization, and weather quantification and forecast.

A volume in the three-volume Remote Sensing Handbook series, Land Resources Monitoring, Modeling, and Mapping with Remote Sensing documents the scientific and methodological advances that have taken place during the last 50 years. The other two volumes in the series are Remotely Sensed Data Characterization, Classification, and Accuracies, and Remo

Global mapping has recently undergone a transition from discipline oriented technologies, such as geodesy, surveying, photogrammetry and cartography into a methodology oriented integrated discipline of “Geoinformation” based on GPS, remote sensing, digital photography for data acquisition and GIS for data manipulation and data output. Interest in Geoinformation has tremendously grown in recent years in many different ways. This book attempts to present the required basic background for Remote Sensing, Photogrammetry, GIS and GPS in the new Geoinformation concept in which the different methodologies must be combined. The fundamentals of these are described in detail, with an emphasis on global, regional and local applications. This book also provides a comprehensive look at the challenges and discoveries made in this emerging field. This book is designed to meet the needs of a professional audience composed of both practitioners and researchers. The concepts and applications of Geoinformation presented in this book will be of benefit to decision makers across a wide range of fields including those working in environmental management, urban planning, tourism industry, in the emergency services, public health and epidemiology, crime mapping, market analysis and e-commerce, or mineral exploration, among many others. This book is also suitable as a reference text for post-graduate/graduate-level teachers and students in Geology, Geoengineering, Forestry, Environmental Science, Geography, Remote Sensing and all engineering fields. This book is the companion for everyone who desires a rich understanding of how Geoinformation is used in the real world.

Fundamentals of Satellite Remote Sensing: An Environmental Approach, Second Edition is a definitive guide to remote sensing systems that focuses on satellite-based remote sensing tools and methods for space-based Earth observation (EO). It presents the advantages of using remote sensing data for studying and monitoring the planet, and emphasizes co

Following the successful publication of the 1st edition in 2009, the 2nd edition maintains its aim to provide an application-driven package of essential techniques in image processing and GIS, together with case studies for demonstration and guidance in remote sensing applications. The book therefore has a “3 in 1” structure which pinpoints the intersection between these three individual disciplines and successfully draws them together in a balanced and comprehensive manner. The book conveys in-depth knowledge of image processing and GIS techniques in an accessible and comprehensive manner, with clear explanations and conceptual illustrations used throughout to enhance student learning. The understanding of key concepts is always emphasised with minimal assumption of prior mathematical experience. The book is heavily based on the authors'own research. Many of the author-designed image processing techniques are popular around the world. For instance, the SFIM technique has long been adopted by ASTRIUM for mass-production of their standard “Pan-sharpen” imagery data. The new edition also includes a completely new chapter on subpixel technology and new case studies, based on their recent research.

Remote Sensing and Image Interpretation, 7th Edition is designed to be primarily used in two ways: as a textbook in the introductory courses in remote sensing and image interpretation, and as a reference for the burgeoning number of practitioners who use geospatial information and analysis in their work. Because of the wide range of academic and professional settings in which this book might be used, we have made the discussion “discipline neutral.” In short, anyone involved in geospatial data acquisition and analysis should find this book to be a valuable text and reference.

Written by a renowned expert, Geoinformation: Remote Sensing, Photogrammetry and Geographic Information Systems, Second Edition gives you an overarching view of how remote sensing, photogrammetry, and geographic information systems work together in an interdisciplinary manner. The book presents the required basic background of the geoinformatics co

Highlighting new technologies, Remote Sensing of Natural Resources explores advanced remote sensing systems and algorithms for image processing, enhancement, feature extraction, data fusion, image classification, image-based modeling, image-based sampling design, map accuracy assessment and quality control. It also discusses their applications for

A successor to the classic Artech House Microwave Remote Sensing series, this comprehensive and up-to-date resource previously published by University of Michigan Press provides you with theoretical models, system design and operation, and geoscientific applications of active and passive microwave remote sensing systems. To facilitate understanding and use of the material, the book includes 50 MATLAB-based computer codes and the book's website (http://mrs.eecs.umich.edu/) includes interactive modules based on theoretical and empirical models.

Advances in Mapping from Remote Sensor Imagery: Techniques and Applications reviews some of the latest developments in remote sensing and information extraction techniques applicable to topographic and thematic mapping. Providing an interdisciplinary perspective, leading experts from around the world have contributed chapters examining state-of-the

This 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

In this book, the authors present current research in the study of the techniques, applications and technologies of remote sensing. Topics discussed include the techniques used to investigate the surface dynamics of coastal areas using radar remote sensing; technologies to understand crop status from different sensors including multispectral camera, spectrometer, laser range finder and light quantum sensors; hydrological modeling, flood forecasting, water conservation and efficiency in irrigation; the horizontal transport and dispersion in large hydroelectric reservoirs through the use of satellite tracked drifters; imaging cameras as an intelligent device for extracting relative attitude information needed for attitude control; and techniques to study the urban growth over time, combining unsupervised, supervised classifications and the spectral mixture analysis.

Hyperspectral narrow-band (or imaging spectroscopy) spectral data are fast emerging as practical solutions in modeling and mapping vegetation. Recent research has demonstrated the advances in and merit of hyperspectral data in a range of applications including quantifying agricultural crops, modeling forest canopy biochemical properties, detecting crop stress and disease, mapping leaf chlorophyll content as it influences crop production, identifying plants affected by contaminants such as arsenic, demonstrating sensitivity to plant nitrogen content, classifying vegetation species and type, characterizing wetlands, and mapping invasive species. The need for significant improvements in quantifying, modeling, and mapping plant chemical, physical, and water properties is more critical than ever before to reduce uncertainties in our understanding of the Earth and to better sustain it. There is also a need for a synthesis of the vast knowledge spread throughout the literature from more than 40 years of research. Hyperspectral Remote Sensing of Vegetation integrates this knowledge, guiding readers to harness the capabilities of the most recent advances in applying hyperspectral remote sensing technology to the study of terrestrial vegetation. Taking a practical approach to a complex subject, the book demonstrates the experience, utility, methods and models used in studying vegetation using hyperspectral data. Written by leading experts, including pioneers in the field, each chapter presents specific applications, reviews existing state-of-the-art knowledge, highlights the advances made, and provides guidance for the appropriate use of hyperspectral data in the study of vegetation as well as its numerous applications, such as crop yield modeling, crop and vegetation biophysical and biochemical property characterization, and crop moisture assessment. This comprehensive book brings together the best global expertise on hyperspectral remote sensing of agriculture, crop water use, plant species detection, vegetation classification, biophysical and biochemical modeling, crop productivity and water productivity mapping, and modeling. It provides the pertinent facts, synthesizing findings so that readers can get the correct picture on issues such as the best wavebands for their practical applications, methods of analysis using whole spectra, hyperspectral vegetation indices targeted to study specific biophysical and biochemical quantities, and methods for detecting parameters such as crop moisture variability, chlorophyll content, and stress levels. A collective'knowledge bank,'it guides professionals to adopt the best practices for their own work.

Chapter 1 - Remote Sensing Chapter 2 - Weather Satellite Chapter 3 - Photometer Chapter 4 - LIDAR Chapter 5 - Radar Chapter 6 - Hemispherical Photography Chapter 7 - Hyperspectral Imaging Chapter 8 - Collocation (Remote Sensing)

Because prevailing atmospheric/troposcopic conditions greatly influence radio wave propagation above 10 GHz, the unguided propagation of microwaves in the neutral atmosphere can directly impact many vital applications in science and engineering. These include transmission of intelligence, and radar and radiometric applications used to probe the atmosphere, among others.Where most books address either one or the other, Microwave Propagation and Remote Sensing: Atmospheric Influences with Models and Applications melds coverage of these two subjects to help readers develop solutions to the problems they present. This reference offers a brief, elementary account of microwave propagation through the atmosphere and discusses radiometric applications in the microwave band used to characterize and model atmospheric constituents, which is also known as remote sensing.Summarizing the latest research results in the field, as well as radiometric models and measurement methods, this book covers topics including: Free space propagation Reflection, interference, polarization, and other key aspects of electromagnetic wave propagation Radio refraction and its effects on propagation delay Methodology of estimating water vapor attenuation using radiosonde data Knowledge of rain structures and use of climatological patterns to estimate/measure attenuation of rain, snow, fog, and other prevalent atmospheric particles and human-made substances Dual/multifrequency methodology to deal with the influence of clouds on radiometric attenuation Deployment of microwaves to ascertain various tropospheric conditions Composition and characteristics of the troposphere, to help readers fully understand microwave propagation Derived parameters of water, free space propagation, and conditions and variable constituents such as water vapor and vapor pressure, density, and ray bending

National parks, wildlife refuges and sanctuaries, natural reserves, conservation areas, frontier lands, and marine-protected areas are increasingly recognized as essential providers of ecosystem services and biological resources. As debates about climate change and sustainability intensify, protected areas become more important as indicators of eco

Satellite imagery and data are widely used in public health surveillance to provide early warning of disease outbreaks and for averting pandemics. Convergence of these technologies began in the 1970s and has gained wide acceptance in the 21st Century.Environmental Tracking for Public Health Surveillance focuses on the expanding use of satellite sen

Filling the need for a comprehensive book that covers both theory and application, Remote Sensing of Land Use and Land Cover: Principles and Applications provides a synopsis of how remote sensing can be used for land-cover characterization, mapping, and monitoring from the local to the global scale. With contributions by leading scientists from aro

Image registration employs digital image processing in order to bring two or more digital images into precise alignment for analysis and comparison. Accurate registration algorithms are essential for creating mosaics of satellite images and tracking changes on the planet's surface over time. Bringing together invited contributions from thirty-six distinguished researchers, the book presents a detailed overview of current research and practice in the application of image registration to remote sensing imagery. Chapters cover the problem definition, theoretical issues in accuracy and efficiency, fundamental algorithms, and real-world case studies of image registration software applied to imagery from operational satellite systems. This book provides a comprehensive and practical overview for Earth and space scientists, presents image processing researchers with a summary of current research, and can be used for specialised graduate courses.

This book has been replaced by Introduction to Remote Sensing, Sixth Edition, 978-1-4625-4940-5.

Following in the tradition of its popular predecessor, the Manual of Geospatial Science and Technology, Second Edition continues to be the authoritative volume that covers all aspects of the field, both basic and applied, and includes a focus on initiating, planning, and managing GIS projects. This comprehensive resource, which contains contributio

An extensive review of remote sensing principles with an emphasis on environmental applications, Fundamentals of Satellite Remote Sensing discusses a wide range of topics, from physical principles to data acquisition systems and on to visual and digital interpretation techniques. The text focuses on the interpretation and analysis of remo

Land degradation and desertification are amongst the most severe threats to human welfare and the environment, as they affect the livelihoods of some 2 billion people in the worlds drylands, and they are directly connected to pressing global environmental problems, such as the loss of biological diversity or global climate change. Strategies to co