Published by University of Tennessee, Knoxville, 1972
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Condition: New. pp. XVI, 227 63 illus., 41 illus. in color. 1 Edition NO-PA16APR2015-KAP.
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paperback. Condition: New. Study 863 national key projects UAV remote sensing payload integrated authentication systems Science Press LLC UAV remote sensing payload comprehensive verification system technology: Paperback. Pub Date :2014-05-01 Pages: 364 Language: Chinese Publisher results-based system introduced verify UAV remote sensing payload common platform. high-precision optical payload. technical methods developed precision engineered synthetic aperture radar. a comprehensive exposition of the data processing te.
Language: English
Published by Südwestdeutscher Verlag für Hochschulschriften, 2015
ISBN 10: 3838115740 ISBN 13: 9783838115740
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Taschenbuch. Condition: Neu. Remote sensing observations of the West African monsoon | Diurnal to annual variability of the lower atmospheric layers in the West African monsoon system: A comprehensive view by remote sensing observations | Bernhard Pospichal | Taschenbuch | 124 S. | Englisch | 2015 | Südwestdeutscher Verlag für Hochschulschriften | EAN 9783838115740 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Taschenbuch. Condition: Neu. Remote Sensing of Land Use and Land Cover in Mountain Region | A Comprehensive Study at the Central Tibetan Plateau | Duo Chu | Taschenbuch | xvi | Englisch | 2020 | Springer | EAN 9789811375828 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents the spatial and temporal dynamics of land use and land cover in the central Tibetan Plateau during the last two decades, based on various types of satellite data, long-term field investigation and GIS techniques. Further, it demonstrates how remote sensing can be used to map and characterize land use, land cover and their dynamic processes in mountainous regions, and to monitor and model relevant biophysical parameters.The Tibetan Plateau, the highest and largest plateau on the Earth and well known as 'the roof of the world,' is a huge mountainous area on the Eurasian continent and covers millions of square kilometers, with an average elevation of over 4000 m. After providing an overview of the background and an introduction to land use and land cover change, the book analyzes the current land use status, dynamic changes and spatial distribution patterns of different land-use types in the study area, using various types of remotely sensed data, digital elevation models and GIS spatial analysis methods to do so. In turn, it discusses the main driving forces, based on the main physical environment variables and socioeconomic data, and provides a future scenario analysis of land use change using a Markov chain model. Given its scope, it provides a valuable reference guide for researchers, scientists and graduate students working on environmental change in mountainous regions around the globe, and for practitioners working at government and non-government agencies.
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Language: English
Published by Springer Nature Singapore, 2019
ISBN 10: 9811375798 ISBN 13: 9789811375798
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Condition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This book presents the spatial and temporal dynamics of land use and land cover in the central Tibetan Plateau during the last two decades, based on various types of satellite data, long-term field investigation and GIS techniques. Further, it demonstrates how remote sensing can be used to map and characterize land use, land cover and their dynamic processes in mountainous regions, and to monitor and model relevant biophysical parameters.The Tibetan Plateau, the highest and largest plateau on the Earth and well known as ¿the roof of the world,¿ is a huge mountainous area on the Eurasian continent and covers millions of square kilometers, with an average elevation of over 4000 m. After providing an overview of the background and an introduction to land use and land cover change, the book analyzes the current land use status, dynamic changes and spatial distribution patterns of different land-use types in the study area, using various types of remotely sensed data, digital elevation models and GIS spatial analysis methods to do so. In turn, it discusses the main driving forces, based on the main physical environment variables and socioeconomic data, and provides a future scenario analysis of land use change using a Markov chain model. Given its scope, it provides a valuable reference guide for researchers, scientists and graduate students working on environmental change in mountainous regions around the globe, and for practitioners working at government and non-government agencies.
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Language: English
Published by John Wiley & Sons Inc, 2021
ISBN 10: 1119646146 ISBN 13: 9781119646143
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Published by Springer Nature Singapore, Springer Nature Singapore, 2019
ISBN 10: 9811375798 ISBN 13: 9789811375798
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents the spatial and temporal dynamics of land use and land cover in the central Tibetan Plateau during the last two decades, based on various types of satellite data, long-term field investigation and GIS techniques. Further, it demonstrates how remote sensing can be used to map and characterize land use, land cover and their dynamic processes in mountainous regions, and to monitor and model relevant biophysical parameters.The Tibetan Plateau, the highest and largest plateau on the Earth and well known as 'the roof of the world,' is a huge mountainous area on the Eurasian continent and covers millions of square kilometers, with an average elevation of over 4000 m. After providing an overview of the background and an introduction to land use and land cover change, the book analyzes the current land use status, dynamic changes and spatial distribution patterns of different land-use types in the study area, using various types of remotely sensed data, digital elevation models and GIS spatial analysis methods to do so. In turn, it discusses the main driving forces, based on the main physical environment variables and socioeconomic data, and provides a future scenario analysis of land use change using a Markov chain model. Given its scope, it provides a valuable reference guide for researchers, scientists and graduate students working on environmental change in mountainous regions around the globe, and for practitioners working at government and non-government agencies.
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Language: English
Published by John Wiley & Sons Inc, 2021
ISBN 10: 1119646146 ISBN 13: 9781119646143
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Buch. Condition: Neu. Neuware - DEEP LEARNING FOR THE EARTH SCIENCESExplore this insightful treatment of deep learning in the field of earth sciences, from four leading voicesDeep learning is a fundamental technique in modern Artificial Intelligence and is being applied to disciplines across the scientific spectrum; earth science is no exception. Yet, the link between deep learning and Earth sciences has only recently entered academic curricula and thus has not yet proliferated. Deep Learning for the Earth Sciences delivers a unique perspective and treatment of the concepts, skills, and practices necessary to quickly become familiar with the application of deep learning techniques to the Earth sciences. The book prepares readers to be ready to use the technologies and principles described in their own research.The distinguished editors have also included resources that explain and provide new ideas and recommendations for new research especially useful to those involved in advanced research education or those seeking PhD thesis orientations. Readers will also benefit from the inclusion of:\* An introduction to deep learning for classification purposes, including advances in image segmentation and encoding priors, anomaly detection and target detection, and domain adaptation\* An exploration of learning representations and unsupervised deep learning, including deep learning image fusion, image retrieval, and matching and co-registration\* Practical discussions of regression, fitting, parameter retrieval, forecasting and interpolation\* An examination of physics-aware deep learning models, including emulation of complex codes and model parametrizationsPerfect for PhD students and researchers in the fields of geosciences, image processing, remote sensing, electrical engineering and computer science, and machine learning, Deep Learning for the Earth Sciences will also earn a place in the libraries of machine learning and pattern recognition researchers, engineers, and scientists.
Language: English
Published by Elsevier Science Ltd, 2025
ISBN 10: 0443132208 ISBN 13: 9780443132209
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