Fluvial remote sensing for science and management [electronic resource] / Patrice Carbonneau, Herve Piegay.
By: Carbonneau, Patrice.
Contributor(s): Piégay, Hervé.
Material type:
BookSeries: Advancing river restoration and management: Publisher: Chichester, West Sussex ; Hoboken, NJ : John Wiley & Sons, 2012Description: 1 online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9781118351529; 1118351525; 9781118358085; 1118358082; 9781119940784; 1119940788; 9781119940791; 1119940796.Subject(s): Rivers -- Remote sensing | Hydrology -- Remote sensing | TECHNOLOGY & ENGINEERING -- Hydraulics | Hydrology -- Remote sensing | Rivers -- Remote sensingGenre/Form: Electronic books.Additional physical formats: Print version:: Fluvial remote sensing for science and management.DDC classification: 551.48/30287 Online resources: Wiley Online Library Summary: This book offers a comprehensive overview of progress in the general area of fluvial remote sensing with a specific focus on its potential contribution to river management. The book highlights a range of challenging issues by considering a range of spatial and temporal scales with perspectives from a variety of disciplines. The book starts with an overview of the technical progress leading to new management applications for a range of field contexts and spatial scales. Topics include colour imagery, multi-spectral and hyper-spectral imagery, video, photogrammetry and LiDAR.
Includes bibliographical references and index.
Print version record and CIP data provided by publisher.
This book offers a comprehensive overview of progress in the general area of fluvial remote sensing with a specific focus on its potential contribution to river management. The book highlights a range of challenging issues by considering a range of spatial and temporal scales with perspectives from a variety of disciplines. The book starts with an overview of the technical progress leading to new management applications for a range of field contexts and spatial scales. Topics include colour imagery, multi-spectral and hyper-spectral imagery, video, photogrammetry and LiDAR.
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