Multi temporal Remote Sensing Methods and Applications

Contents

1 Multitemporal Remote Sensing: Current Status, Trends and Challenges . . . . . . . . . . . . . . . 1
Yifang Ban



2 Change Detection Techniques: A Review . . . . . . . . . . . . . . .19
Yifang Ban and Osama Yousif

3 Change Detection in Urban Areas: Spatial and Temporal Scales . . . . . 45
Paolo Gamba and Fabio Dell’Acqua

4 Change Detection in Multitemporal Hyperspectral Images . . . . . . . . . . . 63
Lorenzo Bruzzone, Sicong Liu, Francesca Bovolo,
and Peijun Du

5 Object-Based Change Detection in Urban Areas Using Multitemporal High Resolution SAR Images with Unsupervised Thresholding Algorithms . . . . . . . . . . . . . . . . . . . . . . . . . . . 89
Osama Yousif and Yifang Ban

6 Fusion of Multitemporal Spaceborne SAR and Optical Data for Urban Mapping and Urbanization Monitoring . . . . . . . . . . .107
Yifang Ban and Alexander Jacob

7 Post-classification Change Detection in Arctic Glaciers by Multi-polarization SAR  . . . . . . . . . 125
Vahid Akbari, Anthony P. Doulgeris, and Torbjørn Eltoft

8 Interferometric SAR Multi-temporal Processing: Techniques and Applications . . . . . . . . . . 145
Daniele Perissin

9 TIMESAT for Processing Time-Series Data from Satellite Sensors for Land Surface Monitoring . . . . . . . . .  . 177
Lars Eklundh and Per Jönsson

10 PhenoSat – A Tool for Remote Sensing Based Analysis of Vegetation Dynamics .  . . . . 195
Arlete Rodrigues, André R. S. Marcal, and Mário Cunha

11 Temporal Techniques in Remote Sensing of Global Vegetation . . . . . . . 217
Aleixandre Verger, Sivasathivel Kandasamy,
and Frédéric Baret

12 Soil Moisture Dynamics Estimated from MODIS Time
Series Images . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 233
Thomas Gumbricht

13 Temporal Analysis of Remotely Sensed Land Surface Short wave 
Albedo . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .255
Tao He and Shunlin Liang

14 Observing the Response of Terrestrial Vegetation to Climate Variability Across a Range of Time Scales by Time Series Analysis of Land Surface Temperature . . . . . . . . . . . . . . . . 277
Massimo Menenti, H.R. Ghafarian Malamiri, Haolu Shang,
Silvia M. Alfieri, Carmine Maffei, and Li Jia

15 A Review of Multitemporal Synthetic Aperture Radar (SAR) for Crop Monitoring . . . . . . .  317
Heather McNairn and Jiali Shang

16 An Approach for Determining Relationships Between Disturbance and Habitat Selection Using Bi-weekly Synthetic Images and Telemetry Data. . . . . . . . . . . . . . . . . . . . . . . .341
Nicholas D. A. Brown, Trisalyn Nelson, Michael A. Wulder,
Nicholas C. Coops, Thomas Hilker, Christopher W. Bater,
Rachel Gaulton, and Gordon B. Stenhouse

17 Multitemporal Remote Sensing for Inland Water Bodies and Wetland Monitoring. . . . . . . .. 357
Yeqiao Wang, Shuhua Qi, and Jian Xu

18 Global Land Surface Water Mapping and Analysis at 30 m Spatial Resolution for Years 2000 and 2010 . . . . . . . . . . 373

19 Multitemporal Remote Sensing of Coastal Waters . . . . . 391
Susanne Kratzer, Krista Alikas, Therese Harvey,
José María Beltrán-Abaunza, Evgeny Morozov,
Sélima Ben Mustapha, and Samantha Lavender

20 Monitoring Long-Term Disaster Recovery – Space and Ground Views . . . . . . . . . . . . . . . . 427
Tuong-Thuy Vu and Daroonwan Kamthonkiat

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Multi temporal Remote Sensing Methods and Applications