Автор: S. Ozcelik Название: Modeling, Sensing and Control of Gas Metal Arc Welding, ISBN: 0080440665 ISBN-13(EAN): 9780080440668 Издательство: Elsevier Science Рейтинг: Цена: 17538.00 р. 25054.00-30% Наличие на складе: Есть (1 шт.) Описание: Arc welding is one of the key processes in industrial manufacturing, with welders using two types of processes - Gas Metal Arc Welding (GMAW) and Gas Tungsten Arc Welding (GTAW). This book provides a survey-oriented account of the modeling, sensing, and automatic control of the GMAW process.
Автор: Pourabbas Elaheh Название: Geographical Information Systems ISBN: 1466596937 ISBN-13(EAN): 9781466596931 Издательство: Taylor&Francis Рейтинг: Цена: 29093.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Web services, cloud computing, location based services, NoSQLdatabases, and Semantic Web offer new ways of accessing, analyzing, and elaborating geo-spatial information in both real-world and virtual spaces. This book explores the how-to of the most promising recurrent technologies and trends in GIS, such as Semantic GIS, Web GIS, Mobile GIS, NoSQL Geographic Databases, Cloud GIS, Spatial Data Warehousing-OLAP, and Open GIS. The text discusses and emphasizes the methodological aspects of such technologies and their applications in GIS.
Автор: Njoku Название: Encyclopedia of Remote Sensing ISBN: 0387366989 ISBN-13(EAN): 9780387366982 Издательство: Springer Рейтинг: Цена: 55762.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This single source spans the foundations, principles, and state of the science in remote sensing. It covers concepts, techniques, instrumentation, data analysis, interpretation, and international policy. It also explores airborne and space-based applications.
Автор: Martin Beniston; Michel M. Verstraete Название: Remote Sensing and Climate Modeling: Synergies and Limitations ISBN: 9048156483 ISBN-13(EAN): 9789048156481 Издательство: Springer Рейтинг: Цена: 26120.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: H.L. Gholz; Kaneyuki Nakane; H. Shimoda Название: The Use of Remote Sensing in the Modeling of Forest Productivity ISBN: 9401062900 ISBN-13(EAN): 9789401062909 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Forests comprise the greatest storage of carbon on land, provide fuel for millions, are the habitat for most terrestrial biodiversity, and are critical to the economies of many countries.
Название: Remote Sensing and Global Environmental Change ISBN: 1405182253 ISBN-13(EAN): 9781405182256 Издательство: Wiley Рейтинг: Цена: 9338.00 р. Наличие на складе: Поставка под заказ.
Описание: This book provides the reader a broad grounding in the science of Earth Observation (EO) of our changing planet. It contains a comprehensive sequenced discussion covering the significant themes of global change, their cause, and how they can be monitored through time.
Название: Advances in environmental remote sensing ISBN: 1420091751 ISBN-13(EAN): 9781420091755 Издательство: Taylor&Francis Рейтинг: Цена: 31390.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Featuring contributors from 17 countries, this book presents the advances in environmental remote sensing. It provides the developments in remote sensing data and sensor systems, paying attention to LIDAR, high spatial-resolution sensing, hyperspectral sensing, and data fusion of various sensors.
Автор: Richards Название: Remote Sensing with Imaging Radar ISBN: 3642020194 ISBN-13(EAN): 9783642020193 Издательство: Springer Рейтинг: Цена: 19591.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book develops the technology of radar imaging, and an understanding of scattering concepts, in a manner suitable to the mathematical background of most earth scientists. The approach allows for quick movement to the practical aspects of imaging.
Описание: Initially, the role of snow and ice in the global water balance is assessed and methods of snow measurements are explained. Following a review of snow melt and runoff modelling, the Snowmelt Runoff Model (SRM) demonstrates the merits of remote sensing in snow hydrology by using the satellite data as a direct input variable.
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