Hardcover. Condition: Brand New. 226 pages. 6.00x0.63x9.00 inches. In Stock.
Language: English
Published by Singapore, Springer., 2019
ISBN 10: 9811318247 ISBN 13: 9789811318245
Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
XI, 385 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Biological and Medical Physics, Biomedical Engineering. Sprache: Englisch.
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Hardcover. Condition: Brand New. 400 pages. 9.25x6.10x1.10 inches. In Stock.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Condition: New. 2024th edition NO-PA16APR2015-KAP.
Language: English
Published by Springer Nature Singapore, Springer Nature Singapore, 2019
ISBN 10: 9811318247 ISBN 13: 9789811318245
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book introduces the latest optical coherence tomography (OCT) imaging and computerized automatic image analysis techniques, and their applications in the diagnosis and treatment of retinal diseases. Discussing the basic principles and the clinical applications of OCT imaging, OCT image preprocessing, as well as the automatic detection and quantitative analysis of retinal anatomy and pathology, it includes a wealth of clinical OCT images, and state-of-the-art research that applies novel image processing, pattern recognition and machine learning methods to real clinical data. It is a valuable resource for researchers in both medical image processing and ophthalmic imaging.
Condition: New.
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.
Condition: New. pp. 180.
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Condition: New.
Seller: Buchpark, Trebbin, Germany
Condition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | Estimating evapotranspiration (ET) has been one of the most critical research areas in agriculture because of water scarcity, the growing population, and climate change. The accurate estimation and mapping of ET are necessary for crop water management. Traditionally, researchers use water balance, soil moisture, weighing lysimeters, or an energy balance approach, such as Bowen ratio or eddy covariance towers to estimate ET. However, these ET methods are point-specific or area-weighted measurements and cannot be extended to a large scale. On the other hand, while remote sensing is able to provide spatially distributed measurements, the spatial resolution of multispectral satellite images is often not enough for crops with clumped canopy structures, such as trees and vines. Unmanned aerial vehicles (UAVs) can mitigate these spatial and temporal limitations. Lightweight cameras and sensors can be mounted on the UAVs and take high-resolution images. Unlike satellite imagery, the spatial resolution of the UAV images can be at the centimeter-level. UAVs can also fly on-demand, which provides high temporal imagery. This book examines the different UAV-based approaches of ET estimation. Models and algorithms, such as mapping evapotranspiration at high resolution with internalized calibration (METRIC), the two-source energy balance (TSEB) model, and machine learning (ML) are discussed. It also covers the challenges and opportunities for UAVs in ET estimation, with the final chapters devoted to new ET estimation methods and their potential applications for future research.
Hardcover. Condition: Brand New. 366 pages. 9.25x6.10x0.98 inches. In Stock.
Hardcover. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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