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Geospatial Foundation Model in Urban Environments: Challenges and New Technologies (Second Edition)

This special issue belongs to the section “Urban Remote Sensing“.

Special Issue Information

Dear Colleagues,

As Guest Editor, I am delighted to announce the second Special Issue of Remote Sensing to be released under the title “Geospatial Foundation Model in Urban Environments: Challenges and New Technologies”. We invite you to contribute with state-of-the-art research papers on urban environments, urban dynamics, urban public health, urban human mobility, urban spatial networks, urban socioeconomic sustainability, and urban crime with modern machine learning theories and technology.

Innovative contributions on employing CNN, the transformer model, GNN, and the foundation model to support the SDGs of urban environments are welcome, as well as papers on the combined use of remote sensing and human trajectory data to discover hidden human behavior patterns. Also, we look forward to the presentation of your research results on innovative applications and progress on the topic of urban and carbon neutrality employing remote sensing and artificial intelligence.

Review papers and articles describing new measurement concepts/sensors are also welcome.

Dr. Haifeng Li
Guest Editor

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 submissions that pass pre-check are 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 250 words) can be sent to the Editorial Office for assessment.

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 2700 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.

Keywords

  • urban environments
  • urban human mobility
  • urban socioeconomic sustainability
  • urban crime
  • SDGs
  • carbon neutrality
  • deep learning
  • foundation models
  • CNN
  • transformer model
  • GNN

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Remote Sens. - ISSN 2072-4292