Introduction to remote sensing, sixth edition, Campbell, James B.
Старое издание
Автор: Campbell James B Название: Introduction to Remote Sensing ISBN: 160918176X ISBN-13(EAN): 9781609181765 Издательство: Taylor&Francis Цена: 14239.00 р. Наличие на складе: Невозможна поставка. Описание: A leading text for undergraduate- and graduate-level courses, this book introduces widely used forms of remote sensing imagery and their applications in plant sciences, hydrology, earth sciences, and land use analysis.
Автор: Martin Название: An Introduction to Ocean Remote Sensing ISBN: 1107019389 ISBN-13(EAN): 9781107019386 Издательство: Cambridge Academ Рейтинг: Цена: 12197.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Covering significant new advances in satellite oceanography and results from new satellite missions, this new edition introduces graduate and advanced undergraduate students to how remote sensing works, and observations` importance to physical and biological oceanography. Now supported with online data archives and tools enabling hands-on engagement with real-world observations.
Автор: Campbell, James B. Название: Introduction to remote sensing ISBN: 0415416884 ISBN-13(EAN): 9780415416887 Издательство: Taylor&Francis Цена: 5359.00 р. Наличие на складе: Нет в наличии.
Описание: Concerned with the art rather than the science of Parallel Programming, this volume provides a plain and practical introduction to a subject that has previously been heavily encrypted in computer jargon.
Описание: Combining GIS concepts and fundamental spatial thinking methodology with real programming examples, this book introduces popular Python-based tools and their application to solving real-world problems. It elucidates the programming constructs of Python with its high-level toolkits and demonstrates its integration with ArcGIS Theory. Filled with hands-on computer exercises in a logical learning workflow this book promotes increased interactivity between instructors and students while also benefiting professionals in the field with vital knowledge to sharpen their programming skills. Readers receive expert guidance on modules, package management, and handling shapefile formats needed to build their own mini-GIS. Comprehensive and engaging commentary, robust contents, accompanying datasets, and classroom-tested exercises are all housed here to permit users to become competitive in the GIS/IT job market and industry.
Автор: Devillers Название: Fundamentals of Spatial Data Quality ISBN: 1905209568 ISBN-13(EAN): 9781905209569 Издательство: Wiley Рейтинг: Цена: 22010.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book explains the concept of spatial data quality, a key theory for minimizing the risks of data misuse in a specific decision-making context.
Описание: Render three-dimensional data and maps with ease. Written as a self-study workbook, Introduction to 3D Data demystifies the sometimes confusing controls and procedures required for 3D modeling using software packages such as ArcGIS 3D Analyst and Google Earth.
Автор: G.A. Maul Название: Introduction to satellite oceanography ISBN: 9401087407 ISBN-13(EAN): 9789401087407 Издательство: Springer Рейтинг: Цена: 36570.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Satelli te oceanography, as the term is used in this book, is a generic term that means application of the technology of aerospace electromagnetic remote sensing to the study of the oceans. While it is true that no one has written a whole book on plankton nets, volumes have been written about what is found in those nets.
Автор: Emery, Bill Название: Introduction to Satellite Remote Sensing ISBN: 0128092548 ISBN-13(EAN): 9780128092545 Издательство: Elsevier Science Рейтинг: Цена: 15999.00 р. Наличие на складе: Нет в наличии.
Описание: Introduction to Satellite Remote Sensing: Atmosphere, Ocean and Land Applications is the first reference book to cover ocean applications, atmospheric applications, and land applications of remote sensing. . Applications of remote sensing data are finding increasing application in fields as diverse as wildlife ecology and coastal recreation management. The technology engages electromagnetic sensors to measure and monitor changes in the earth’s surface and atmosphere. The book opens with an introduction to the history of remote sensing, starting from when the phrase was first coined. It goes on to discuss the basic concepts of the various systems, including atmospheric and ocean, then closes with a detailed section on land applications. . Due to the cross disciplinary nature of the authors’ experience and the content covered, this is a must have reference book for all practitioners and students requiring an introduction to the field of remote sensing.
Автор: John A. Richards Название: Remote Sensing Digital Image Analysis ISBN: 3642441017 ISBN-13(EAN): 9783642441011 Издательство: Springer Рейтинг: Цена: 11179.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Now in an updated edition that adds new and revised material, this book offers a comprehensive introduction to quantitative evaluation of satellite and aircraft derived remotely retrieved data. Each chapter includes practice problems.
Автор: Hopkins Max Название: Introduction to Remote Sensing ISBN: 1682866041 ISBN-13(EAN): 9781682866047 Издательство: Неизвестно Цена: 24299.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The process whereby information about an object, manmade or natural, can be obtained remotely or without directly encountering it is known as remote sensing. It has great significance in military as well as geographic and commercial endeavors. It generally includes satellites and aircraft based sensors to root out information about objects present in the deep sea, atmosphere, etc. This book presents the complex subject of remote sensing in the most comprehensible and easy to understand language. It includes a detailed explanation of the various concepts and applications of the field. Some of the diverse topics covered in it address the varied branches that fall under this category. This textbook will serve as a valuable source of reference for those interested in remote sensing.
Автор: William W. Hsieh Название: Introduction to Environmental Data Science ISBN: 1107065550 ISBN-13(EAN): 9781107065550 Издательство: Cambridge Academ Рейтинг: Цена: 9821.00 р. 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: Rees Название: Physical Principles of Remote Sensing (2017) ISBN: 052118116X ISBN-13(EAN): 9780521181167 Издательство: Cambridge Academ Рейтинг: Цена: 6599.00 р. 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.
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