Special Issue "Accuracy Assessment and Validation of Remotely Sensed Data and Product II"

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

Deadline for manuscript submissions: 1 March 2022.

Special Issue Editors

Dr. Georgios Mallinis
E-Mail Website
Guest Editor
Forest Remote Sensing and Geospatial Analysis Laboratory, Democritus University of Thrace, 68200 Orestiada, Greece
Interests: remote sensing; land use/land cover (LULC) mapping; classification development and comparison; geographic object based image analysis; natural disasters; UAS
Special Issues and Collections in MDPI journals
Dr. Charalampos Georgiadis
E-Mail Website
Guest Editor
School of Civil Engineering, Laboratory of Photogrammetry and Remote Sensing Unit (PERS Lab), School of Rural and Surveying Engineering, The Aristotle University of Thessaloniki, Univ. Box 465, GR-54124 Thessaloniki, Greece
Interests: remote sensing; land use/land cover (LULC) mapping; photogrammetry; unmanned aerial systems (UAS); LiDAR; GIS; 3D modelling; mobile mapping systems; image analysis
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

With the rapid advancement of sensor technology, automation of the processing chains and the increased availability of free or low-cost, nearly continuous measurements of Earth’s surface, a growing interest is noted for remote sensing applications in various scientific domains and themes. This interest has been also fueled by the need for accurate spatially-explicit information on Earth’s physical cover to address pressuring demands for policies and actions for sustainable development in terms of efficiency in resources use, disaster risk reduction, ecosystems monitoring and protection. However, such usage of remotely sensed data, requires reliable and quantitative accuracy reports to support the confidence in the information generated. Accuracy assessment and validation is essential in remote sensing-based projects since decision making or scientific analysis with data of unknown or little accuracy will result in information with low reliability, error propagation effects and subsequently, of limited value.

The aim of this special issue is to explore new challenges and new insights related to the assessment of the thematic and positional accuracy of remotely sensed data and derived products.

Research contributions, as well as surveys are welcome. In particular, novel contributions covering, but not limited to, the following subtopics are welcome

  • Accuracy assessment of approaches focusing in time-series analysis of remotely-sensed data
  • Benchmarking and evaluation of different classification approaches
  • Accuracy metrics for object extraction from remote sensing images
  • Error and uncertainty analysis within the accuracy assesment process
  • Design and protocols for the validation of large‐area remote sensing products
  • Accuracy assesment of novel platforms and sensors i.e. Unmanned Aerial Systems (UAS), LiDAR data etc.

Dr. Georgios Mallinis
Dr. Charalampos Georgiadis
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 2400 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.


  • Positional accuracy
  • Horizontal accuracy
  • Thematic accuracy
  • Sampling design
  • Accuracy metrics

Published Papers

This special issue is now open for submission.
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