Multitemporal Remote Sensing

Methods and Applications

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Paperback, blz. | Engels
Springer International Publishing | e druk, 2018
ISBN13: 9783319836447
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Springer International Publishing e druk, 2018 9783319836447
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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.

Specificaties

ISBN13:9783319836447
Taal:Engels
Bindwijze:paperback
Uitgever:Springer International Publishing

Inhoudsopgave

<div>1. Multitemporal Remote Sensing: Current Status, Trends and Challenges</div><div>Yifang Ban</div><div><br></div><div>2. Change Detection Techniques: A Review</div><div>Yifang Ban and Osama Yousif</div><div><br></div><div>3. Change Detection in Urban Areas: Spatial and Temporal Scales</div><div>Paolo Gamba, Fabio Dell’Acqua</div><div><br></div><div>4. Change Detection in Multitemporal Hyperspectral Images</div><div>Lorenzo Bruzzone, Sicong Liu, Francesca Bovolo and Peijun Du</div><div><br></div><div>5. Object-based Change Detection in Urban Areas Using Multitemporal High Resolution SAR Images with Unsupervised Thresholding Algorithms</div><div>Osama Yousif and Yifang Ban</div><div><br></div><div>6. Fusion of Multitemporal Spaceborne SAR and Optical Data for Urban Mapping and Urbanization Monitoring</div><div>Yifang Ban and Alexander Jacob</div><div><br></div><div>7. Post-Classification Change Detection in Arctic Glaciers by Multi-Polarization SAR</div><div>Vahid Akbari, Anthony P. Doulgeris and Torbjørn Eltoft</div><div><br></div><div>8. Interferometric SAR MultiTemporal Processing: Techniques and Applications</div><div>Daniele Perissin</div><div><br></div><div>9. TIMESAT for Processing Time-Series Data from Satellite Sensors for Land Surface Monitoring</div><div>Lars Eklundh and Per Jönsson</div><div><br></div><div>10. PhenoSat – A Tool for Remote Sensing Based Analysis of Vegetation Dynamics</div><div>Arlete Rodrigues, André R.S. Marcal and Mário Cunha</div><div><br></div><div>11. Temporal Techniques in Remote Sensing of Global Vegetation</div><div>Aleixandre Verger, Sivasathivel Kandasamy and Frédéric Baret</div><div><br></div><div>12. Soil Moisture Dynamics Estimated from MODIS Time Series Images</div><div>Thomas Gumbricht</div><div><br></div><div>13. Temporal Analysis of Remotely Sensed Land Surface Shortwave Albedo</div><div>Tao He and Shunlin Liang</div><div><br></div><div>14. Observing the Response of Terrestrial Vegetation to Climate Variability Across a Range of Time Scales by Time Series Analysis of Land Surface Temperature&nbsp;</div><div>M. Menenti, H.R. Ghafarian Malamiri, H. Shang, S.M. Alfieri, C. Maffei and L. Jia</div><div><br></div><div>15. A Review of Multitemporal Synthetic Aperture Radar (SAR) for Crop Monitoring</div><div>Heather McNairn and Jiali Shang</div><div><br></div><div>16. An Approach for Determining Relationships Between Disturbance and Habitat Selection Using Bi-Weekly Synthetic Images and Telemetry Data</div><div>Nicholas D.A. Brown, Trisalyn Nelson, Michael A. Wulder, Nicholas C. Coops, Thomas Hilker, Christopher W. Bater, &nbsp;Rachel Gaulton, Gordon B. Stenhouse</div><div><br></div><div>17. Multitemporal Remote Sensing for Inland Water Bodies and Wetland Monitoring</div><div>Yeqiao Wang, Shuhua Qi and Jian Xu</div><div><br></div><div>18. Global Land Surface Water Mapping and Analysis at 30m Spatial Resolution for Years 2000 and 2010</div><div>Xin Cao, Jun Chen, Anping Liao, Lijun Chen, Jin Chen</div><div><br></div><div>19. Multitemporal Remote Sensing of Coastal Waters</div><div>Susanne Kratzer, Krista Alikas, Therese Harvey, José María Beltrán-Abaunza, Evgeny Morozov, Selima Ben Mustapha and Samantha Lavender</div><div><br></div><div>20. Monitoring Long-Term Disaster Recovery – Space And Ground Views</div><div>Tuong-Thuy Vu and Daroonwan Kamthonkiat</div>

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