Remote Sensing Advances for Earth System Science, Diego Fern?ndez-Prieto; Roberto Sabia

Название: Advances in environmental remote sensing
ISBN: 1420091751 ISBN-13(EAN): 9781420091755
Издательство: Taylor&Francis
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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: Njoku
Название: Encyclopedia of Remote Sensing
ISBN: 0387366989 ISBN-13(EAN): 9780387366982
Издательство: Springer
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Цена: 55762.00 р.
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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: Editors: Liang, Shunlin
Название: Advances in Land Remote Sensing
ISBN: 9400798687 ISBN-13(EAN): 9789400798687
Издательство: Springer
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Цена: 40389.00 р.
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Описание: It collects the review papers of the 9th International Symposium on Physical Measurements and Signatures in Remote Sensing (ISPMSRS). It covers all aspects of land remote sensing, from sensor systems, physical modeling, inversion algorithms, to various applications.

Автор: Pourabbas Elaheh
Название: Geographical Information Systems
ISBN: 1466596937 ISBN-13(EAN): 9781466596931
Издательство: Taylor&Francis
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Цена: 29093.00 р.
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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: Richards
Название: Remote Sensing with Imaging Radar
ISBN: 3642020194 ISBN-13(EAN): 9783642020193
Издательство: Springer
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Цена: 19591.00 р.
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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.

Название: Remote Sensing and Global Environmental Change
ISBN: 1405182253 ISBN-13(EAN): 9781405182256
Издательство: Wiley
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Цена: 9338.00 р.
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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.

Автор: Alain Chedin; Moustafa T. Chahine; Noelle A. Scott
Название: High Spectral Resolution Infrared Remote Sensing for Earth`s Weather and Climate Studies
ISBN: 3642846017 ISBN-13(EAN): 9783642846014
Издательство: Springer
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Цена: 16979.00 р.
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Описание: Proceedings of the NATO Advanced Research Workshop on High Spectral Resolution Infrared Remote Sensing for Earth`s Weather and Climate Studies, held at Paris, France, March 23-26, 1992

Автор: Kirill Y. Kondratyev; Vladimir V. Kozoderov; Oleg
Название: Remote Sensing of the Earth from Space: Atmospheric Correction
ISBN: 3642767494 ISBN-13(EAN): 9783642767494
Издательство: Springer
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Цена: 15672.00 р.
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Описание: The monograph being proposed for the English-speaking research community is concentrated on the atmospheric correction of satellite images as a part of thematic interpretation procedures while processing remote sensing data.

Автор: Klaus Seidel (Author), Jaroslav Martinec
Название: Remote Sensing in Snow Hydrology: Runoff Modelling, Effect of Climate Change
ISBN: 3642074170 ISBN-13(EAN): 9783642074172
Издательство: Springer
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Цена: 16977.00 р.
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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.