Multitemporal Remote Sensing: Methods and Applications

Author:   Yifang Ban
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2016
Volume:   20
ISBN:  

9783319470351


Pages:   445
Publication Date:   15 December 2016
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Multitemporal Remote Sensing: Methods and Applications


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Author:   Yifang Ban
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2016
Volume:   20
Dimensions:   Width: 15.50cm , Height: 2.80cm , Length: 23.50cm
Weight:   8.933kg
ISBN:  

9783319470351


ISBN 10:   3319470353
Pages:   445
Publication Date:   15 December 2016
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Multitemporal remote sensing: Current status, trends and challenges.- Change detection techniques: A review.- Change detection in urban areas: Spatial and temporal scales.- Change detection in multitemporal hyperspectral images.- Object-based change detection in urban areas using multitemporal high resolution SAR images with unsupervised thresholding algorithms.- Fusion of multitemporal spaceborne SAR and optical data for urban mapping and urbanization monitoring.- Post-classification change detection in Arctic glaciers by multi-polarization SAR.- Interferometric SAR multitemporal processing: Techniques and applications.- TIMESAT for processing time-series data from satellite sensors for land surface monitoring.- PhenoSat – A tool for remote sensing based analysis of vegetation dynamics.- Temporal techniques in remote sensing of global vegetation.- Soil moisture dynamics estimated from MODIS time series images.- Temporal analysis of remotely sensed land surface shortwave Albedo.- Observing the response of terrestrial vegetation to climate variability across a range of time scales by time series analysis of land surface temperature.- A review of multitemporal synthetic aperture radar (SAR) for crop monitoring.- An approach for determining relationships between disturbance and habitat selection using bi-weekly synthetic images and telemetry data.- Multitemporal remote sensing for inland water bodies and wetland monitoring.- Global land surface water mapping and analysis at 30m spatial resolution for years 2000 and 2010.- Multitemporal remote sensing of coastal waters.- Monitoring long-term disaster recovery – Space and ground views.

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