Special Issue "Multi-Temporal Remote Sensing"
A special issue of Remote Sensing (ISSN 2072-4292).
Deadline for manuscript submissions: closed (28 February 2010)
Prof. Dr. Dave Verbyla
Department of Forest Sciences, School of Natural Resources and Agricultural Sciences, University of Alaska Fairbanks, Fairbanks, AK 99775-7200, USA
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Interests: remote sensing; geographic information systems; spatial analysis; multi-temporal trends in boreal forests; boreal wildfire severity; bias in change detection estimates; GIS analysis techniques
The analysis of multi-temporal remotely sensed data is especially relevant with the increasing quantity and quality of historic and current multi-temporal data sets. Detecting and monitoring change with multi-temporal remote sensing has applications in many fields and scales.
This special issue is open to manuscripts focusing on multi-temporal remote sensing including image registration, calibration, and correction techniques, multi-temporal analyses, data fusion, and multi-temporal applications such as monitoring and change detection applications.
Prof. Dr. David Verbyla
- change detection
- time series