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Remote Sensing and Geo-Spatial Science

A section of Remote Sensing (ISSN 2072-4292).

Section Information

Geo-spatial information technologies have been increasingly used in various disciplines and professions, including natural-resources management and environmental management and governance. Remote sensing and geographic information systems (GIS) can be integrated and used for mapping, monitoring, quantifying, and analyzing dynamic changes and the processes that occur in these ecosystems at different spatial and temporal scales.

The section “Remote Sensing and Geo-Spatial Science” intends to publish original research papers integrating new geo-spatial technologies. We invite authors to submit their articles to Remote Sensing to further improve and consolidate current knowledge in the field of geo-spatial science and remote sensing. Manuscripts addressing theories and applications are equally welcome. We urge authors to take utmost care, not only in preparing the manuscript, but also in providing well-designed graphs and maps.

The scope of the section covers technologies and methods and applications. Topics of interest include but are not limited to:

Technologies and Methods:

  • Geo-spatial artificial intelligence (machine learning, deep learning).
  • Spatial data mining.
  • Geo-computation.
  • GPS.
  • 5G.
  • Internet of Things (IoT).


  • Urban modeling, smart cities, and smart regions.
  • Preservation of cultural heritage and archaeology.
  • Natural-resources management.
  • Geographic environmental modeling.
  • Location-based services (navigation, SLAM, etc.).
  • Disaster and risk assessment.
  • DTM and orthoimage generation.

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