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Special Issue "Analysis of Multi-temporal Remote Sensing Images"

News date: 
Friday, 3 November, 2017

Nowadays, the amount and availability of multitemporal images are experiencing a fast increase. This is due to the increasing number of space missions, the increases in data temporal resolution, as well as to the free access data policy adopted for missions like Landsat and Sentinel. In this context, there is room for the development of both novel methodologies and applications for image time series employment. This Special Issue on “Analysis of Multi-Temporal Remote Sensing Images” aims at publishing sound work improving the state-of-the-art in the following (but not exclusively) aspects of multitemporal information extraction: multitemporal images pre-processing (calibration, correction and registration techniques); multitemporal data harmonization, multitemporal image/time series analysis (classification, trend analysis, regression); mining in multitemporal data/time series; change detection; multitemporal data fusion; validation approaches for multi-temporal data analysis; etc. Any kind of data (optical passive sensor images, active SAR images, low to VHR resolution images, multi- to hyper-spectral data, multi-to hyper temporal data) can be considered, as well as any kind of application (climate change; agriculture, cryosphere, biodiversity, land-cover and -use dynamics, forestry, disaster/damage assessment, etc.).

Deadline for manuscript submissions: 30 June 2018

Guest Editors

Dr. Francesca Bovolo
Dr. Giampaolo Ferraioli
Prof. Turgay Celik