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The Age of Big Data: AI Technology for Remote Sensing Image Processing & Application

Special Issue Information

Dear Colleagues,

We are thrilled to announce a forthcoming Special Issue entitled “The Age of Big Data: AI Technology for Remote Sensing Image Processing & Application” in Remote Sensing. This issue aims to spotlight and address the emergent complexities and potential that big data brings to the field of remote sensing.

The Special Issue will focus on an array of areas encompassing the latest research and advancements in deep learning, artificial intelligence, and machine learning, with specific attention towards their applications in remote sensing image analysis, image segmentation, semantic analysis, and change detection.

Climate change impacts and disaster risk management will be another central theme. We look forward to exploring how remote sensing technologies can monitor and mitigate these global challenges through the study of land–atmosphere interactions, disaster prediction and response, and the assessment of resources and environments.

Water and ecosystem modelling will also be focal points. Contributions investigating hydrological modelling, the water balance of lakes and reservoirs, glacier modelling, and ecosystem modelling using remote sensing data are encouraged.

The Special Issue aspires to create a platform to share and discuss these critical topics and their implications. We welcome submissions that are at the intersection of satellite remote sensing and big data analytics, bridging our understanding of the Earth's dynamic systems with the power of emerging computational techniques.

Dr. Ligou Weng
Prof. Dr. Min Xia
Prof. Dr. Guojie Wang
Dr. Zheng Duan
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 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 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 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

  • remote sensing semantic analysis
  • remote sensing image change detection
  • remote sensing image classification
  • geospatial object recognition and localization
  • land use
  • deep learning
  • remote sensing big data analysis

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Published Papers