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Special Issue "Big Data in Remote Sensing for Urban Mapping"

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

Deadline for manuscript submissions: 31 January 2020

Special Issue Editors

Guest Editor
Dr. Marian-Daniel Iordache

Flemish Institute for Technological Research, Center for Remote Sensing and Earth Observation Processes (VITO-TAP), Boeretang 200, 2400 Mol, Belgium
Website | E-Mail
Interests: remote sensing; image processing; spectral unmixing; machine learning; land cover/land use classification
Guest Editor
Prof. Begüm Demir

Remote Sensing Image Analysis (RSiM) Group, Technische Universität Berlin, 10587 Berlin, Germany
Website | E-Mail
Interests: remote sensing; big data processing and analysis; image processing; signal processing; machine learning; deep learning; image retrieval and classification
Guest Editor
Dr. Claudio Persello

Assistant Professor, Faculty of Geo-Information Science and Earth Observation (ITC) of the University of Twente, Department of Earth Observation Science, PO Box 217, 7500 AE Enschede, The Netherlands
Website 1 | Website 2 | E-Mail
Phone: +31 (0)53 4874343
Interests: remote sensing; image analysis; machine learning; deep learning; feature extraction; land cover and land use classification; urban deprivation/slums; unmanned aerial vehicles

Special Issue Information

Dear Colleagues,

The current unprecedented technological developments in remote sensing are driving innovative research towards new challenges. On one hand, the high quality of modern remote sensing data, often available to users at low or no cost, open large opportunities for research. On the other hand, the abundance of these data implies significant efforts for data handling, (pre-)processing, and interpretation. The complementary sources of information also require new approaches to interconnected data handling and exploitation.

In the field of remote sensing, urban areas are of particular interest, as they imply large agglomerations of individuals in a limited area. The steep increase in the world population brings new challenges related to social, economic, and environmental actions. Remote sensing comes into the scene as a great companion, as it offers a plethora of possibilities to analyze the evolution of urban areas over time, jointly, with a clear view on their actual state. As the available data are plentiful, the focus moves towards improving the methods that exploit such data, in the field of applications as well as data processing.

In this Special Issue, submissions in a broad range of “Big Data in Remote Sensing for Urban Mapping” related research and applications are encouraged. Topics may include but are not limited to:

  • Urban big data processing, analysis and management;
  • Multisensor and multiresolution data analysis/validation for urban mapping;
  • Machine and deep learning for urban dynamics characterization;
  • Land-use and land-cover change monitoring for urban areas;
  • Large-scale 2D and 3D urban modeling;
  • Urban planning with big data evaluation and assessment;
  • Inference of environmental variables (e.g., socioeconomic indicators, population density, life-quality indicators, air pollution) for urban dynamics characterization;
  • Interactive platforms for public access to scientific results on urban mapping.

Dr. Marian-Daniel Iordache
Prof. Begüm Demir
Dr. Claudio Persello
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 semimonthly 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 1800 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.


  • Urban mapping 
  • Remote sensing 
  • Big data
  • Machine/deep learning
  • Data management and storage 
  • Cloud computing

Published Papers

This special issue is now open for submission.
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
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