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

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing Image Processing".

Deadline for manuscript submissions: 30 June 2018

Special Issue Editors

Guest Editor
Dr. Francesca Bovolo

Fondazione Bruno Kessler, Università degli Studi di Trento, Trento Area, Italy
Website | E-Mail
Interests: time series analysis; multitemporal image processing; change detection; multitemporal data fusion; multitemporal classification and domain adaptation; trend analysis; regression analysis; damage assessment
Guest Editor
Dr. Giampaolo Ferraioli

Università di Napoli Parthenope, Centro Direzionale di Napoli, Is. C4, 80143 Napoli, Italy
Website1 | Website2 | E-Mail
Interests: multitemporal SAR interferometry and tomography; multitemporal image processing; change detection; coastline extraction; image regularization and restoration
Guest Editor
Prof. Turgay Celik

University of Witwatersrand and Southwest Jiatong University
Website | E-Mail
Interests: multitemporal multidimensional image processing and analysis; visual and cognitive computing; machine learning; big data; LiDAR

Special Issue Information

Dear Colleagues,

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.).

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

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.


  • time series analysis,
  • multitemporal image processing/classification,
  • change detection and damage assessment,
  • multitemporal data fusion,
  • domain adaptation,
  • trend analysis,
  • regression analysis,
  • biophysical parameter estimation
  • big data in temporal data analysis

Published Papers

This special issue is now open for submission.
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