Multitemporal Remote Sensing Methods and Applications /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Ban, Yifang (Editor)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Series: Remote Sensing and Digital Image Processing, 20
• Subjects: Geography.; Remote sensing.; Physical geography.; Environmental monitoring.; Remote Sensing/Photogrammetry.; Monitoring/Environmental Analysis.; Signal, Image and Speech Processing.; Physical Geography.

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 s...

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.