Multitemporal Remote Sensing (eBook)

Methods and Applications

Yifang Ban (Herausgeber)

eBook Download: PDF
2016 | 1st ed. 2016
XII, 445 Seiten
Springer International Publishing (Verlag)
978-3-319-47037-5 (ISBN)

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Written by world renowned scientists, this book provides an excellent overview of a wide array of methods and techniques for the processing and analysis of multitemporal remotely sensed images. These methods and techniques include change detection, multitemporal data fusion, coarse-resolution time series processing, and interferometric SAR multitemporal processing, among others. A broad range of multitemporal datasets are used in their methodology demonstrations and application examples, including multispectral, hyperspectral, SAR and passive microwave data.  

This book features a variety of application examples covering both land and aquatic environments. Land applications include urban, agriculture, habitat disturbance, vegetation dynamics, soil moisture, land surface albedo, land surface temperature, glacier and disaster recovery. Aquatic applications include monitoring water quality, water surface areas and water fluctuation in wetland areas, spatial distribution patterns and temporal fluctuation trends of global land surface water, as well as evaluation of water quality in several coastal and marine environments.

This book will help scientists, practitioners, students gain a greater understanding of how multitemporal remote sensing could be effectively used to monitor our changing planet at local, regional, and global scales.

1. Multitemporal Remote Sensing: Current Status, Trends and ChallengesYifang Ban2. Change Detection Techniques: A ReviewYifang Ban and Osama Yousif3. Change Detection in Urban Areas: Spatial and Temporal ScalesPaolo Gamba, Fabio Dell’Acqua4. Change Detection in Multitemporal Hyperspectral ImagesLorenzo Bruzzone, Sicong Liu, Francesca Bovolo and Peijun Du5. Object-based Change Detection in Urban Areas Using Multitemporal High Resolution SAR Images with Unsupervised Thresholding AlgorithmsOsama Yousif and Yifang Ban6. Fusion of Multitemporal Spaceborne SAR and Optical Data for Urban Mapping and Urbanization MonitoringYifang Ban and Alexander Jacob7. Post-Classification Change Detection in Arctic Glaciers by Multi-Polarization SARVahid Akbari, Anthony P. Doulgeris and Torbjørn Eltoft8. Interferometric SAR MultiTemporal Processing: Techniques and ApplicationsDaniele Perissin9. TIMESAT for Processing Time-Series Data from Satellite Sensors for Land Surface MonitoringLars Eklundh and Per Jönsson10. PhenoSat – A Tool for Remote Sensing Based Analysis of Vegetation DynamicsArlete Rodrigues, André R.S. Marcal and Mário Cunha11. Temporal Techniques in Remote Sensing of Global VegetationAleixandre Verger, Sivasathivel Kandasamy and Frédéric Baret12. Soil Moisture Dynamics Estimated from MODIS Time Series ImagesThomas Gumbricht13. Temporal Analysis of Remotely Sensed Land Surface Shortwave AlbedoTao He and Shunlin Liang14. Observing the Response of Terrestrial Vegetation to Climate Variability Across a Range of Time Scales by Time Series Analysis of Land Surface Temperature M. Menenti, H.R. Ghafarian Malamiri, H. Shang, S.M. Alfieri, C. Maffei and L. Jia15. A Review of Multitemporal Synthetic Aperture Radar (SAR) for Crop MonitoringHeather McNairn and Jiali Shang16. An Approach for Determining Relationships Between Disturbance and Habitat Selection Using Bi-Weekly Synthetic Images and Telemetry DataNicholas D.A. Brown, Trisalyn Nelson, Michael A. Wulder, Nicholas C. Coops, Thomas Hilker, Christopher W. Bater,  Rachel Gaulton, Gordon B. Stenhouse17. Multitemporal Remote Sensing for Inland Water Bodies and Wetland MonitoringYeqiao Wang, Shuhua Qi and Jian Xu18. Global Land Surface Water Mapping and Analysis at 30m Spatial Resolution for Years 2000 and 2010Xin Cao, Jun Chen, Anping Liao, Lijun Chen, Jin Chen19. Multitemporal Remote Sensing of Coastal WatersSusanne Kratzer, Krista Alikas, Therese Harvey, José María Beltrán-Abaunza, Evgeny Morozov, Selima Ben Mustapha and Samantha Lavender20. Monitoring Long-Term Disaster Recovery – Space And Ground ViewsTuong-Thuy Vu and Daroonwan Kamthonkiat

Erscheint lt. Verlag 1.12.2016
Reihe/Serie Remote Sensing and Digital Image Processing
Zusatzinfo XII, 445 p. 188 illus., 145 illus. in color.
Verlagsort Cham
Sprache englisch
Themenwelt Naturwissenschaften Geowissenschaften Geografie / Kartografie
Technik Elektrotechnik / Energietechnik
Schlagworte Change detection • Earth Observation Satellites • Environmental Change Monitoring • Multitemporal Remote Sensing • Remote Sensing/Photogrammetry • Time Series Analysis
ISBN-10 3-319-47037-X / 331947037X
ISBN-13 978-3-319-47037-5 / 9783319470375
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