Special Issue "Geospatial Sensing 2020 – from Sensing to Understanding Our World"

Special Issue Editors

Prof. Dr. Lars Bernard
Guest Editor
Chair of Geoinformatics, Technical University of Dresden, Dresden, Germany
Interests: research data infrastructures; interoperability; geo-processing
Dr. Benedikt Gräler
Guest Editor
52°North Initiative for Geospatial Open Source Software GmbH, Münster,Germany
Interests: spatiotemporal data analytics; geostatistics; spatiotemporal modeling
Dr. Simon Jirka
Guest Editor
52°North Initiative for Geospatial Open Source Software GmbH, Münster,Germany
Interests: sensor web; spatial data infrastructures; interoperability
Dr. Joan Masó
Guest Editor
CREAF – Ecological and Forestry Applications Research Centre, Barcelona, Spain
Interests: digital cartography; web technologies; geoservices; standards

Special Issue Information

Dear Colleagues,

Earth observation networks, e.g., in-situ sensors and remote sensing systems, deliver a multitude of data that capture the state of our environment. These datasets are highly valued by scientists and stakeholders from a variety of domains and backgrounds such as hydrology, marine sciences, traffic management, environmental monitoring, energy supply, or smart city systems.

An active research and development community is working on new approaches to share, manage, discover, analyze, and visualize geospatial sensor data. This Special Issue, along with the Geospatial Sensing Conference (https://52north.org/geospatialsensing2020) held in 2020, provides a platform for scientists, developers, and users to examine current challenges, present best practices, and discuss future developments. While selected presentations from the conference will be featured in this Special Issue, we invite anyone engaged in any work related to the theme of “Geospatial Sensing – from Sensing to Understanding our World” to submit a manuscript for publication. This issue is dedicated but not limited to the selected papers of this conference.

Prof. Dr. Lars Bernard
Dr. Benedikt Gräler
Dr. Simon Jirka
Dr. Joan Masó
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. ISPRS International Journal of Geo-Information 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 1000 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.


  • Sensor Web
  • sensors in the cloud
  • sensor data sharing and integration
  • event-driven architectures
  • real-time sensing
  • spatial data mining
  • spatial data analytics
  • visualization
  • big geospatial data
  • semantics of sensors and observations
  • novel sensor platforms
  • sensor data on the Web
  • sensor data quality
  • citizen science
  • smart cities and mobility
  • sensor data and spatial data infrastructures
  • standards and interoperability
  • Internet of things
  • metadata
  • research data infrastructures
  • data modeling
  • applications and best practices

Published Papers

This special issue is now open for submission.
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