Remote sensing time series image processing
Cloud and cloud shadow detection for landsat images : the fundamental basis for analyzing landsat time series / Zhe Zhu, Shi Qiu, Binbin He, and Chengbin Deng -- An automatic system for reconstructing high-quality seasonal landsat time series / Xiaolin Zhu, Eileen H. Helmer, Jin Chen, and Desheng Li...
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| Format: | UnknownFormat |
| Sprache: | eng |
| Veröffentlicht: |
Boca Raton, FL, London, New York
CRC Press
2018
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| Schriftenreihe: | Taylor & Francis series in imaging science
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| Schlagworte: | |
| Online Zugang: | Inhaltsverzeichnis Inhaltsverzeichnis und Leseprobe |
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Tag hinzufügen | Zusammenfassung: | Cloud and cloud shadow detection for landsat images : the fundamental basis for analyzing landsat time series / Zhe Zhu, Shi Qiu, Binbin He, and Chengbin Deng -- An automatic system for reconstructing high-quality seasonal landsat time series / Xiaolin Zhu, Eileen H. Helmer, Jin Chen, and Desheng Liu -- Spatiotemporal data fusion to generate synthetic high spatial- and temporal-resolution satellite images / Jin Chen, Yuhan Rao, and Xiaolin Zhu -- Phenological inference from times series remote sensing data / Iryna Dronova and Lu Liang -- Time series analysis of moderate resolution land surface temperatures / Benjamin Bechtel and Panagiotis Sismanidis -- Impervious surface estimation by integrated use of landsat and modis time series in Wuhan, China / Lei Zhang and Qihao Weng -- Mapping land cover trajectories using monthly modis time series from 2001 to 2010 / Shanshan Cai and Desheng Liu -- Creating a robust reference dataset for large area time series disturbance classification / Mariela Soto-Berelov, Andrew Haywood, Simon Jones, Samuel Hislop, and Trung H. Nguyen -- A general workflow for producing forest disturbance history using pixel based time series analysis / Feng Zhao and Chengquan Huang -- Monitoring annual vegetated land loss to urbanization with landsat archive : a case study in Shanghai, China / Qingling Zhang and Bhartendu Pandey |
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| Beschreibung: | Includes bibliographical references |
| Beschreibung: | xxi, 231 Seiten Illustrationen, Diagramme, Karten 164 x 243 mm |
| ISBN: | 9781138054592 978-1-138-05459-2 |