Deep Learning for Remote Sensing Images with Open Source Software, Re?mi Cresson
Автор: Wang, Peng, Название: Subpixel mapping for remote sensing images / ISBN: 1032229381 ISBN-13(EAN): 9781032229386 Издательство: Taylor&Francis Рейтинг: Цена: 122490.00 T Наличие на складе: Нет в наличии. Описание: This book provides a complete overview of subpixel image processing methods, basic principles, and different subpixel mapping techniques based on single or multi-shift remote sensing images. Real-life applications are a great resource for understanding how and where to use subpixel mapping with different remote sensing imaging data.
Автор: Rees Название: Physical Principles of Remote Sensing (2017) ISBN: 052118116X ISBN-13(EAN): 9780521181167 Издательство: Cambridge Academ Рейтинг: Цена: 43990.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Covering a wide range of remote sensing techniques and applications, this new edition is now more accessible to students, while retaining its focus on physical and mathematical principles. Chapter summaries, review questions, problem sets and supporting online material allow students to test their understanding and practise handling data for themselves.
Автор: Prasad S. Thenkabail Название: Hyperspectral remote sensing of vegetation / ISBN: 1138066257 ISBN-13(EAN): 9781138066250 Издательство: Taylor&Francis Рейтинг: Цена: 510400.00 T Наличие на складе: Нет в наличии. Описание: The second edition includes extensive discussions on data processing and how to implement data processing mechanisms in a standard, fast, and efficient manner. Written by global experts, each chapter focuses on specific applications, reviews existing "state-of-art" knowledge, highlights the advances made, and provides guidance for data usage.
Автор: Cresson, Remi Название: Deep learning for remote sensing images with open source software ISBN: 0367858487 ISBN-13(EAN): 9780367858483 Издательство: Taylor&Francis Рейтинг: Цена: 91860.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This is the first practical book to introduce deep learning techniques using free open source tools for processing real world remote sensing images. The approaches are generic and adapted to suit applications for various remote sensing images processing in landcover mapping, forestry, urban, in disaster mapping, image restoration, etc.
Автор: Naveenchandra N. Srivastava Название: Emerging trends in open source geographic information systems / ISBN: 1522550399 ISBN-13(EAN): 9781522550396 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 203810.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Open access to information of geographic places and spatial relationships provides an essential part of the analytical processing of spatial data. Access to connected geospatial programs allows for improvement in teaching and understanding science, technology, engineering, and mathematics.Emerging Trends in Open Source Geographic Information Systems provides emerging research on the applications of free and open software in geographic information systems in various fields of study. While highlighting topics such as data warehousing, hydrological modeling, and software packages, this publication explores the assessment and techniques of open software functionality and interfaces. This book is an important resource for professionals, researchers, academicians, and students seeking current research on the different types and uses of data and data analysis in geographic information systems.
Автор: William W. Hsieh Название: Introduction to Environmental Data Science ISBN: 1107065550 ISBN-13(EAN): 9781107065550 Издательство: Cambridge Academ Рейтинг: Цена: 65470.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Statistical and machine learning methods have many applications in the environmental sciences, including prediction and data analysis in meteorology, hydrology and oceanography; pattern recognition for satellite images from remote sensing; management of agriculture and forests; assessment of climate change; and much more. With rapid advances in machine learning in the last decade, this book provides an urgently needed, comprehensive guide to machine learning and statistics for students and researchers interested in environmental data science. It includes intuitive explanations covering the relevant background mathematics, with examples drawn from the environmental sciences. A broad range of topics is covered, including correlation, regression, classification, clustering, neural networks, random forests, boosting, kernel methods, evolutionary algorithms and deep learning, as well as the recent merging of machine learning and physics. End?of?chapter exercises allow readers to develop their problem-solving skills, and online datasets allow readers to practise analysis of real data.
Автор: Adams, John B. (university Of Washington) Gillespie, Alan R. (university Of Washington) Название: Remote sensing of landscapes with spectral images ISBN: 1108462774 ISBN-13(EAN): 9781108462778 Издательство: Cambridge Academ Рейтинг: Цена: 57030.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This textbook and reference describes how to process and interpret spectral images using physical models. The emphasis is on the practical use of images rather than on theory and mathematical derivations. Ideal for graduate students and professionals in a variety of disciplines, the book is supplemented by web resources.
Автор: Andrew T. Wilson,Ben Edwards Название: Open Source Archaeology: Ethics and Practice ISBN: 3110440164 ISBN-13(EAN): 9783110440164 Издательство: Walter de Gruyter Рейтинг: Цена: 74320.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Open Source Archaeology: Ethics and Practice' brings together authors and researchers in the field of open-source archaeology, defined as encompassing the ethical imperative for open public access to the results of publicly-funded research; practical solutions to open-data projects; open-source software applications in archaeology; public information sharing projects in archaeology; open-GIS; and the open-context system of data management and sharing. This edited volume is designed to discuss important issues around open access to data and software in academic and commercial archaeology, as well as to summarise both the current state of theoretical engagement, and technological development in the field of open-archaeology. Ben EdwardsBen Edwards was trained in archaeology at the University of Durham, achieving his BA, MA and PhD. His first commercial work was for Archaeological Services, Durham University, before moving on to become a Lecturer in Archaeological Practice at the University of Liverpool, where he taught for three years. During this time Ben began his project management work, undertaking both commercial and research excavations, and survey projects. His teaching (archaeological practice and heritage management) proved to be an excellent basis from which to develop his professional expertise.Ben now lectures at Manchester Metropolitan University in Archaeology and Heritage. He currently researches open source software and hardware for use in the field, and advanced 3D surveying techniques. Andrew WilsonAndrew Wilson was trained in archaeology at the University of Liverpool. Upon achieving his BA at the University, Andrew moved south to study Computer Applied Archaeology at the University of Southampton, where he was awarded an MSc. Andrew returned to the University of Liverpool where he has recently completed a PhD. During this time Andrew coordinated a number of projects both in the UK and Middle East, specialising in advanced surveying techniques of archaeological remains.Working in the the School of Computer Science, Bangor University Andrew has developed his keen interest in Open data policies and ethics. This interest was the starting point for this volume.
Автор: Donald B. Percival, Andrew T. Walden Название: Spectral Analysis for Univariate Time Series ISBN: 1107028140 ISBN-13(EAN): 9781107028142 Издательство: Cambridge Academ Рейтинг: Цена: 97150.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Spectral analysis is an important technique for interpreting time series data. This book uses the R language and real world examples to show data analysts interested in time series in the environmental, engineering and physical sciences how to bridge the gap between the statistical theory behind spectral analysis and its application to actual data.
Автор: Erwan Bocher; Markus Neteler Название: Geospatial Free and Open Source Software in the 21st Century ISBN: 3642433618 ISBN-13(EAN): 9783642433610 Издательство: Springer Рейтинг: Цена: 130590.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book contains papers presented at the first Open Source Geospatial Research Symposium held in Nantes City, France, 8-10 July, 2009. It demonstrates the scientific community dynamism related to open source and free software as well as in defining new concepts, standards or tools.
Автор: Saha, Kakoli, Название: Learning GIS using open source software : ISBN: 0367487454 ISBN-13(EAN): 9780367487454 Издательство: Taylor&Francis Рейтинг: Цена: 148010.00 T Наличие на складе: Невозможна поставка. Описание: This book introduces the usage, functionality, and application of data in Geographic Information Systems (GIS) for geo-spatial analysis. It offers knowledge on GIS tools and techniques and explains how they can be applied in real-world project to architects and planners in the Indian, and the greater South Asian context.
The Open Access version of this book, available at http: //www.tandfebooks.com/doi/view/10.1201/9781315146638, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 3.0 license.
GIS is used today to better understand and solve urban problems. GIS in Sustainable Urban Planning and Management: A Global Perspective, explores and illustrates the capacity that geo-information and GIS have to inform practitioners and other participants in the processes of the planning and management of urban regions. The first part of the book addresses the concept of sustainable urban development, its different frameworks, the many ways of measuring sustainability, and its value in the urban policy arena. The second part discusses how urban planning can shape our cities, examines various spatial configurations of cities, the spread of activities, and the demands placed on different functions to achieve strategic objective. It further focuses on the recognition that urban dwellers are increasingly under threat from natural hazards and climate change.
Written by authors with expertise on the applications of geo-information in urban management, this book showcases the importance of GIS in better understanding current urban challenges and provides new insights on how to apply GIS in urban planning. It illustrates through real world cases the use of GIS in analyzing and evaluating the position of disadvantaged groups and areas in cities and provides clear examples of applied GIS in urban sustainability and urban resilience.
The idea of sustainable development is still very much central in the new development agenda of the United Nations, and in that sense, it is of particular importance for students from both the Global South and Global North. Professionals, researchers, and students alike will find this book to be an invaluable resource for understanding and solving problems relating to sustainable urban planning and management.
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