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Remote Sensing for Sustainability

Remote Sensing for Sustainability

Driven 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.

GBP 82.99
1

Remote Sensing of Natural Resources

Remote Sensing of Natural Resources

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 evaluation of natural resources including sampling design land use and land cover classification natural landscape and ecosystem assessment forestry agriculture biomass and carbon-cycle modeling wetland classification and dynamics monitoring and soils and minerals mapping. The book combines review articles with case studies that demonstrate recent advances and developments of methods techniques and applications of remote sensing with each chapter on a specific area of natural resources. Through a comprehensive examination of the wide range of applications of remote sensing technologies to natural resources the book provides insight into advanced remote sensing systems technologies and algorithms for researchers scientists engineers and decision makers.

GBP 59.99
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Hyperspectral Remote Sensing Principles and Applications

Hyperspectral Remote Sensing Principles and Applications

Land management issues such as mapping tree species recognizing invasive plants and identifying key geologic features require an understanding of complex technical issues before the best decisions can be made. Hyperspectral remote sensing is one the technologies that can help with reliable detection and identification. Presenting the fundamentals of remote sensing at an introductory level Hyperspectral Remote Sensing: Principles and Applications explores all major aspects of hyperspectral image acquisition exploitation interpretation and applications. The book begins with several chapters on the basic concepts and underlying principles of remote sensing images. It introduces spectral radiometry concepts such as radiance irradiance flux and blackbody radiation; covers imaging spectrometers examining spectral range full width half maximum (FWHM) resolution sampling signal-to-noise ratio (SNR) and multispectral and hyperspectral sensor systems; and addresses atmospheric interactions. The book then discusses information extraction with chapters covering the underlying physics principles that lead to the creation of an image and the interpretation of the image's information. The final chapters describe case studies that illustrate the use of hyperspectral remote sensing in agriculture environmental monitoring forestry and geology. After reading this book you will have a better understanding of how to evaluate different approaches to hyperspectral analyses and to determine which approaches will work for your applications. | Hyperspectral Remote Sensing Principles and Applications

GBP 69.99
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Planetary Geodesy and Remote Sensing

Planetary Geodesy and Remote Sensing

Although lunar exploration began in the 1960s the moon and other planets have many long-standing unanswered questions about planetary environments origin formation and evolution magnetization of crustal rocks internal structure and possible life. However with the recent development of planetary geodesy and remote sensing with higher spatial and spectral resolution have come new opportunities to explore and understand the moon and planets in greater detail. Written by well-established international scientists in the planetary science and remote sensing fields Planetary Geodesy and Remote Sensing presents the latest methods and techniques of planetary geodesy and remote sensing. The book discusses the latest results in planetary science including theory methods measurements topography gravity and magnetic field atmosphere and ionosphere geomorphology volcano craters internal structure and water. The book also highlights comparative studies with the earth in the atmosphere geomorphology and interiors of the planets. It discusses future missions and future objectives of planetary exploration and science using the latest advances in remote sensing. With chapters contributed by a stellar list of pioneers and experts the book provides new insight on the application of new technologies and the observations in planetary geodesy. It is suitable for those working in the field as well as for planetary probe designers engineers and planetary geologists and geophysicists.

GBP 74.99
1

Remote Sensing Applications for the Urban Environment

Remote Sensing Applications for the Urban Environment

Land use and land cover changes associated with increased urbanization have led to landscape and environmental changes throughout the world. Remote Sensing Applications for the Urban Environment places emphasis on the rapid development of worldwide urbanization and its impact on the environment and reviews the assessment of urban land cover conditions using remote sensing data. The book examines current satellite observation capacities the use of remote sensing data to characterize urban extent and urban land cover and the applications of satellite-derived data for urban environment assessments. It also introduces cutting-edge assessment methods and remote sensing techniques for characterizing high-resolution imagery of urban areas in different ecological environments. Focuses on the latest progress in urban remote sensing and technologies used to monitor urban land use and land cover conditionsIntroduces several methods used to extract urban landscape features using high-resolution imageryDetails the methods currently used for assessing urban vegetation impervious surface and urban land use and land cover conditionsDescribes how to use multi-temple satellite images to monitor urban growth around the worldAn up-to-date reference reflecting the state of the art in both remote sensing and the environmental assessment of urban areas Remote Sensing Applications for the Urban Environment summarizes current satellite observing capacities and the growing demand for consistent and continuous local regional and global observation data by different government agencies throughout the world. This book serves academic faculties students researchers and government decision makers.

GBP 48.99
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Remote Sensing of Impervious Surfaces

Remote Sensing of Impervious Surfaces

Remote sensing of impervious surfaces has matured using advances in geospatial technology so recent that its applications have received only sporadic coverage in remote sensing literature. Remote Sensing of Impervious Surfaces is the first to focus entirely on this developing field. It provides detailed coverage of mapping data extraction and modeling techniques specific to analyzing impervious surfaces such as roads and buildings. Written by renowned experts in the field this book reviews the major approaches that apply to this emerging field as well as current challenges developments and trends. The authors introduce remote sensing digital image processing techniques for estimating and mapping impervious surfaces in urban and rural areas. Presenting the latest modeling tools and algorithms for data extraction and analysis the book explains how to differentiate roads roofs and other manmade structures from remotely sensed images for individual analysis. The final chapters examine how to use impervious surface data for predicting the flow of storm- or floodwater and studying trends in population land use resource distribution and other real-world applications in environmental urban and regional planning. Each chapter offers a consistent format including a concise review of basic concepts and methodologies timely case studies and guidance for solving problems and analyzing data using the techniques presented.

GBP 44.99
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Practical Handbook of Remote Sensing

Practical Handbook of Remote Sensing

The number of Earth observation satellites launched in recent years is growing exponentially along with the datasets they gather from free-to-access and commercial providers. The second edition of Practical Handbook of Remote Sensing is updated with new explanations and practical examples using the Copernicus satellite data and new versions of the open-source software. A new chapter and new applications have also been added. Thoroughly revised the handbook continues to be a practical how-to remote sensing guide for those who want to use the technology understand what is available how to access it and answer questions about our planet but do not necessarily want to become scientific experts.

GBP 42.99
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Atmospheric Acoustic Remote Sensing Principles and Applications

Atmospheric Acoustic Remote Sensing Principles and Applications

Sonic Detection and Ranging (SODAR) systems and Radio Acoustic Sounding Systems (RASS) use sound waves to determine wind speed wind direction and turbulent character of the atmosphere. They are increasingly used for environmental and scientific applications such as analyzing ground-level pollution dispersion and monitoring conditions affecting wind energy generation. However until now there have been no reliable references on SODAR and RASS for practitioners in the field as well as non-experts who wish to understand and implement this technology to their own applications. Authored by an internationally known expert in the design and use of SODAR/RASS technology Atmospheric Acoustic Remote Sensing: Principles and Applications systematically explains the underlying science principles and operational aspects of acoustic radars. Abundant diagrams and figures including eight pages of full-color images enhance clear guidelines and tools for handling calibration error equipment hardware sampling and data analysis. The final chapter explores applications in environmental research boundary layer research wind power and loading complex terrain and sound speed profiles. Atmospheric Acoustic Remote Sensing offers SODAR and RASS users as well as general remote sensing practitioners environmental scientists and engineers a straightforward guide for using SODARs to perform wind measurements and data analysis for scientific environmental or alternative monitoring applications. | Atmospheric Acoustic Remote Sensing Principles and Applications

GBP 44.99
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Hyperspectral Remote Sensing in Urban Environments

Hyperspectral Remote Sensing in Urban Environments

This book is intended to provide a detailed perspective on techniques and challenges in detecting urban materials using hyperspectral data including a systematic perspective on the spectral properties of the materials and methods. It adopts a process chain approach in describing the topic and explains image processing steps from reflectance calibration to final insights. The objective of the book is to provide in-depth information on hyperspectral remote sensing of urban materials covering global case studies as applicable. Features: Covers the complete processing chain of hyperspectral data specifically in urban environments; Gives more information about the mapping and classification of urban scenes; Includes information from basic imaging spectroscopy to advanced methods such as deep learning for imaging spectroscopy; Reviews detailed spectral characteristics of urban materials commonly found in world cities; Discusses advanced supervised methods such as deep learning with a due focus on hyperspectral data analysis. This book is aimed at professionals and graduate students in Hyperspectral Imaging Urban Remote Sensing and Hyperspectral Image Processing. | Hyperspectral Remote Sensing in Urban Environments

GBP 110.00
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Deep Learning for Remote Sensing Images with Open Source Software

Deep Learning for Remote Sensing Images with Open Source Software

In today’s world deep learning source codes and a plethora of open access geospatial images are readily available and easily accessible. However most people are missing the educational tools to make use of this resource. Deep Learning for Remote Sensing Images with Open Source Software is the first practical book to introduce deep learning techniques using free open source tools for processing real world remote sensing images. The approaches detailed in this book are generic and can be adapted to suit many different applications for remote sensing image processing including landcover mapping forestry urban studies disaster mapping image restoration etc. Written with practitioners and students in mind this book helps link together the theory and practical use of existing tools and data to apply deep learning techniques on remote sensing images and data. Specific Features of this Book: The first book that explains how to apply deep learning techniques to public free available data (Spot-7 and Sentinel-2 images OpenStreetMap vector data) using open source software (QGIS Orfeo ToolBox TensorFlow) Presents approaches suited for real world images and data targeting large scale processing and GIS applications Introduces state of the art deep learning architecture families that can be applied to remote sensing world mainly for landcover mapping but also for generic approaches (e. g. image restoration) Suited for deep learning beginners and readers with some GIS knowledge. No coding knowledge is required to learn practical skills. Includes deep learning techniques through many step by step remote sensing data processing exercises.

GBP 31.99
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LiDAR Remote Sensing and Applications

LiDAR Remote Sensing and Applications

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

GBP 84.99
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Ground-Based Microwave Radiometry and Remote Sensing Methods and Applications

Ground-Based Microwave Radiometry and Remote Sensing Methods and Applications

The ability to effectively monitor the atmosphere on a continuous basis requires remote sensing in microwave. Written for physicists and engineers working in the area of microwave sensing of the atmosphere Ground-Based Microwave Radiometry and Remote Sensing: Methods and Applications is completely devoted to ground-based remote sensing. This text covers the fundamentals of microwave remote sensing and examines microwave radiometric measurements and their applications. The book discusses the atmospheric influences on the electromagnetic spectrum addresses the measurement of incoherent electromagnetic radiation from an object obeying the laws of radiation fundamentals and explores the height limits in both the water vapor band and the oxygen band. The author describes the measurement technique of water vapor in the polar region details studies of the measurement of integrated water vapor content by deploying a microwave radiometer and presents several real-time pictures of radiometric and disdrometer measurements. Includes integrated water vapor and cloud liquid water models Contains measurements in adverse weather conditions Illustrates measurement technique in the Antarctic and Arctic regions Describes rain models in different locations including tropical temperate regions along with radiometric measurement techniques Presents a definite model for measurement of propagation path delay The book summarizes the latest research results obtained in the area of measurements and modeling describes the atmospheric influences on electromagnetic spectrum along with different gaseous and cloud models and provides examples of radiometric retrievals from a variety of dynamic weather phenomena. | Ground-Based Microwave Radiometry and Remote Sensing Methods and Applications

GBP 74.99
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Remote Sensing of Glaciers Techniques for Topographic Spatial and Thematic Mapping of Glaciers

Remote Sensing of Glaciers Techniques for Topographic Spatial and Thematic Mapping of Glaciers

Glaciers 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 changes have been measured for the last century by traditional field measurements resulting in long time series for a few glaciers. Remote sensing data and methods and geographic information systems provide the means to allow glacier changes to be monitored at a global scale to be analysed rapidly and to store the results and present information to both scientific and popular audiences in a way which was not possible before the digital revolution. Remote sensing of glaciers began with terrestrial and aerial photography during the middle of the 20th century but today the discipline embraces a large variety of data types from laser scanner data to very high resolution satellite imagery which can be applied to the mapping of glacier changes in terms of area surface zonation or thickness. This book highlights the history of the remote sensing of glaciers the physics of glaciers and remote sensing of them and focuses particularly on modern data and methods used by remote sensing specialists and glaciologists. The book presents examples of glacier research carried out for example in the Alps Norway Iceland Caucasus Patagonia Rocky Mountains Pakistan Antarctica New Zealand and Svalbard. This book is of interest to specialists and students working in the field of remote sensing glaciology physical geography geology and climate change. | Remote Sensing of Glaciers Techniques for Topographic Spatial and Thematic Mapping of Glaciers

GBP 59.99
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Remote Sensing Data Analysis in R

Remote Sensing Data Analysis in R

Remote Sensing Data Analysis in R is a guide book containing codes for most of the operations which are being performed for analysing any satellite data for deriving meaningful information. The goal of this book is to provide hands on experience in performing all the activities from the loading of raster and vector data mapping or visualisation of data pre-processing calculation of indices classification and advanced machine learning algorithms on remote sensing data in R. The reader will be able to acquire skills to carry out most of the operations of raster data analysis – more flexibly - in open-source freely available software i. e. R which are generally available in the paid digital image processing software. Note: T& F does not sell or distribute the Hardback in India Pakistan Nepal Bhutan Bangladesh and Sri Lanka. The title is co-published with New India Publishing Agency.

GBP 89.99
1

Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation

Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation

Written by leading global experts including pioneers in the field the four-volume set on Hyperspectral Remote Sensing of Vegetation Second Edition reviews existing state-of-the-art knowledge highlights advances made in different areas and provides guidance for the appropriate use of hyperspectral data in the study and management of agricultural crops and natural vegetation. Volume IV Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation discusses the use of hyperspectral or imaging spectroscopy data in numerous specific and advanced applications such as forest management precision farming managing invasive species and local to global land cover change detection. It emphasizes the importance of hyperspectral remote sensing tools for studying vegetation processes and functions as well as the appropriate use of hyperspectral data for vegetation management practices. The concluding chapter provides readers with useful guidance on the highlights and essence of Volume IV through the editors’ perspective. Key Features of Volume IV:Guides readers to harness the capabilities of the most recent advances in applying hyperspectral remote sensing technology to the study of terrestrial vegetation. Includes specific applications on agriculture crop management practices study of crop stress and diseases crop characteristics based on inputs (e. g. nitrogen irrigation) study of vegetation impacted by heavy metals gross and net primary productivity studies light use efficiency studies crop water use and actual evapotranspiration studies phenology monitoring land use and land cover studies global change studies plant species detection wetland and forest characterization and mapping crop productivity and crop water productivity mapping and modeling. Encompasses hyperspectral or imaging spectroscopy data in narrow wavebands used across visible red-edge near-infrared far-infrared shortwave infrared and thermal portions of the spectrum. Explains the implementation of hyperspectral remote sensing data processing mechanisms in a standard fast and efficient manner for their applications. Discusses cloud computing to overcome hyperspectral remote sensing massive big data challenges. Provides hyperspectral analysis of rocky surfaces on the earth and other planetary systems.

GBP 42.99
1

Intelligent Infrastructure User-centred Remote Condition Monitoring

Intelligent Infrastructure User-centred Remote Condition Monitoring

With the development of sensor technology wireless communications big data and machine learning there is an increasing interest in technologies and solutions that assess and predict the state of equipment and assets within various industrial settings. These technologies aim to collect information from multiple sources about infrastructure asset status. Then through current and historical data analysis this configuration of technologies delivers intelligence on current and future asset status to a maintenance operator or manager to inform optimal maintenance decision-making. These technologies are known under different terms – remote condition monitoring e-maintenance prognostic systems predictive maintenance and smart or intelligent infrastructure. Despite the promise of remote condition monitoring and predictive technologies there is a growing concern with such technologies because they can be difficult or impractical to use. Understanding and mitigating potential human factors issues could ensure that such vast investments are not wasted. This book considers in depth the challenges placed on users of current and future condition monitoring systems. Its primary focus is to understand the cognitive processes including managing alarms interpreting data and collaborating with automation. The book describes a range of human factors methods that can be used to understand the current and future functioning of people and technology in an enhanced maintenance and asset monitoring context. The book also presents a framework for describing these issues systematically and presents the resulting design considerations to increase the effectiveness of individual operators and organisations as a whole. | Intelligent Infrastructure User-centred Remote Condition Monitoring

GBP 74.99
1

Unmanned Aerial Remote Sensing UAS for Environmental Applications

Unmanned Aerial Remote Sensing UAS for Environmental Applications

Unmanned Aircraft Systems (UASs) are a rapidly evolving technology with an expanding array of diverse applications. In response to the continuing evolution of this technology this book discusses UAVs and similar systems platforms and sensors as well as exploring some of their environmental applications. It explains how they can be used for mapping monitoring and modelling a wide variety of different environmental aspects and at the same time addresses some of the current constraints placed on realising the potential use of the technology such as flight duration and distance safety and the invasion of privacy. Unmanned Aerial Remote Sensing: UAS for Environmental Applications is an excellent resource for any practitioner utilising remote sensing and other geospatial technologies for environmental applications such as conservation research and planning. Students and academics in information science environment and natural resources geosciences and geography will likewise find this comprehensive book a useful and informative resource. FeaturesProvides necessary theoretical foundations for pertinent subject matter areasIntroduces the role and value of UAVs for geographical data acquisition and the ways to acquire and process the dataProvides a synthesis of ongoing research and a focus on the use of technology for small-scale image and spatial data acquisition in an environmental contextWritten by experts of the technology who bring together UAS tools and resources for environmental specialists. | Unmanned Aerial Remote Sensing UAS for Environmental Applications

GBP 42.99
1

Signal and Image Processing for Remote Sensing

Signal and Image Processing for Remote Sensing

Continuing in the footsteps of the pioneering first edition Signal and Image Processing for Remote Sensing Second Edition explores the most up-to-date signal and image processing methods for dealing with remote sensing problems. Although most data from satellites are in image form signal processing can contribute significantly in extracting information from remotely sensed waveforms or time series data. This book combines both providing a unique balance between the role of signal processing and image processing. Featuring contributions from worldwide experts this book continues to emphasize mathematical approaches. Not limited to satellite data it also considers signals and images from hydroacoustic seismic microwave and other sensors. Chapters cover important topics in signal and image processing and discuss techniques for dealing with remote sensing problems. Each chapter offers an introduction to the topic before delving into research results making the book accessible to a broad audience. This second edition reflects the considerable advances that have occurred in the field with 23 of 27 chapters being new or entirely rewritten. Coverage includes new mathematical developments such as compressive sensing empirical mode decomposition and sparse representation as well as new component analysis methods such as non-negative matrix and tensor factorization. The book also presents new experimental results on SAR and hyperspectral image processing. The emphasis is on mathematical techniques that will far outlast the rapidly changing sensor software and hardware technologies. Written for industrial and academic researchers and graduate students alike this book helps readers connect the dots in image and signal processing. New in This EditionThe second edition includes four chapters from the first edition plus 23 new or entirely rewritten chapters and 190 new figures. New

GBP 74.99
1

Hyperspectral Remote Sensing Fundamentals and Practices

Hyperspectral Remote Sensing Fundamentals and Practices

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. | Hyperspectral Remote Sensing Fundamentals and Practices

GBP 94.99
1

Microwave Radiometry and Remote Sensing of the Earth's Surface and Atmosphere

Microwave Radiometry and Remote Sensing of the Earth's Surface and Atmosphere

This book contains a selection of refereed papers presented at the 6 Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment held in Florence Italy on March 15-18 1999. Over the last two decades passive microwave remote sensing has made considerable progress and has achieved significant results in the study of the Earth's surface and atmosphere. Many years of observations with ground-based and satellite-borne sensors have made an important contribution to improving our knowledge of many geophysical processes of the Earth's environment and of global changes. The evolution in microwave radiometers aboard satellites has increased steadily over recent years. At the same time many investigations have been carried out both to improve the algorithms for the retrieval of geophysical parameters and to develop new technologies. The book is divided into four main sections: three of these are devoted to the observation of the Earth's surface and atmosphere and the fourth to future missions and new technologies. The first section deals with the study of sea and land surfaces and reports recent advances in remote sensing of ocean wind sea ice soil moisture and vegetation biomass including electromagnetic modelling and the assimilation of radiometric data in models of land surface processes. The following two sections are devoted to the measurement of atmospheric quantities which are of fundamental importance in climatology and meteorology and since they influence radio-wave propagation they also impact on several other fields including geodesy navigational satellite and radioastronomy. The last section presents an overview of new technologies and plans for future missions. | Microwave Radiometry and Remote Sensing of the Earth's Surface and Atmosphere

GBP 56.99
1

Hyperspectral Remote Sensing of Vegetation Second Edition Four Volume Set

Hyperspectral Remote Sensing of Vegetation Second Edition Four Volume Set

Written by leading global experts including pioneers in the field the four-volume set on Hyperspectral Remote Sensing of Vegetation Second Edition reviews existing state-of-the-art knowledge highlights advances made in different areas and provides guidance for the appropriate use of hyperspectral data in the study and management of agricultural crops and natural vegetation. Volume I Fundamentals Sensor Systems Spectral Libraries and Data Mining for Vegetation introduces the fundamentals of hyperspectral or imaging spectroscopy data including hyperspectral data processes sensor systems spectral libraries and data mining and analysis covering both the strengths and limitations of these topics. Volume II Hyperspectral Indices and Image Classifications for Agriculture and Vegetation evaluates the performance of hyperspectral narrowband or imaging spectroscopy data with specific emphasis on the uses and applications of hyperspectral narrowband vegetation indices in characterizing modeling mapping and monitoring agricultural crops and vegetation. Volume III Biophysical and Biochemical Characterization and Plant Species Studies demonstrates the methods that are developed and used to study terrestrial vegetation using hyperspectral data. This volume includes extensive discussions on hyperspectral data processing and how to implement data processing mechanisms for specific biophysical and biochemical applications such as crop yield modeling crop biophysical and biochemical property characterization and crop moisture assessments. Volume IV Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation discusses the use of hyperspectral or imaging spectroscopy data in numerous specific and advanced applications such as forest management precision farming managing invasive species and local to global land cover change detection. | Hyperspectral Remote Sensing of Vegetation Second Edition Four Volume Set

GBP 180.00
1

Microwave Propagation and Remote Sensing Atmospheric Influences with Models and Applications

Microwave Propagation and Remote Sensing Atmospheric Influences with Models and Applications

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 | Microwave Propagation and Remote Sensing Atmospheric Influences with Models and Applications

GBP 74.99
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Image Analysis Classification and Change Detection in Remote Sensing With Algorithms for Python Fourth Edition

Image Analysis Classification and Change Detection in Remote Sensing With Algorithms for Python Fourth Edition

Image Analysis Classification and Change Detection in Remote Sensing: With Algorithms for Python Fourth Edition is focused on the development and implementation of statistically motivated data-driven techniques for digital image analysis of remotely sensed imagery and it features a tight interweaving of statistical and machine learning theory of algorithms with computer codes. It develops statistical methods for the analysis of optical/infrared and synthetic aperture radar (SAR) imagery including wavelet transformations kernel methods for nonlinear classification as well as an introduction to deep learning in the context of feed forward neural networks. New in the Fourth Edition: An in-depth treatment of a recent sequential change detection algorithm for polarimetric SAR image time series. The accompanying software consists of Python (open source) versions of all of the main image analysis algorithms. Presents easy platform-independent software installation methods (Docker containerization). Utilizes freely accessible imagery via the Google Earth Engine and provides many examples of cloud programming (Google Earth Engine API). Examines deep learning examples including TensorFlow and a sound introduction to neural networks Based on the success and the reputation of the previous editions and compared to other textbooks in the market Professor Canty’s fourth edition differs in the depth and sophistication of the material treated as well as in its consistent use of computer codes to illustrate the methods and algorithms discussed. It is self-contained and illustrated with many programming examples all of which can be conveniently run in a web browser. Each chapter concludes with exercises complementing or extending the material in the text. | Image Analysis Classification and Change Detection in Remote Sensing With Algorithms for Python Fourth Edition

GBP 42.99
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Aquatic Environment Management

Aquatic Environment Management

This reference book collates traditional and modern applications of remote sensing in aquatic ecosystem monitoring. It covers conventional assessment methods like sampling surveying and chlorophyll estimation. Advanced remote sensing technology provides timely spectral information for quantitative and qualitative assessment of water changes volume and vegetation. The book discusses space-borne airborne and drone geospatial data. The five sections broadly cover aquatic ecosystem monitoring vegetation management advanced modelling practices and challenges. Key features Covers different types of aquatic ecosystems like wetlands rivers lakes saline and brackish Reviews the latest applications of remote sensing in the monitoring and assessment of aquatic ecosystems Includes traditional methods like cartography sampling surveying phytoplankton assessment and chlorophyll estimation Discusses the application of artificial intelligence machine learning data fusion in monitoring aquatic systems Explores the prospects of future Earth observation space missions for aquatic ecosystem monitoring The book is meant for scientists professionals and policymakers working in environmental sciences remote sensing and geology. | Aquatic Environment Management

GBP 110.00
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