Remote Sensing Datasets and 3D Visualization of Geospatial Big Data

Dear Colleagues,

Remote sensing technologies have rapidly expanded their reach across various domains, including agriculture, forestry, weather forecasting, urban planning, environmental studies, oceanography, and socioeconomic analysis. The diverse applications of remote sensing encompass many of the Sustainable Development Goals (SDGs), offering invaluable insights for analysis and future planning aimed at fostering sustainable human life. Leveraging remote sensing datasets as a powerful tool for decision making and policy formulation, this interdisciplinary field underscores the need for effective visualization techniques to render datasets comprehensible and interpretable across different stakeholders.

In line with the dissemination of social benefits, this Special Issue seeks to explore the nexus between remote sensing datasets, open access initiatives, and 3D visualization techniques tailored for geospatial big data. We invite contributions that advocate for free access to remote sensing datasets within the public domain and showcase innovative approaches to the 3D visualization of geospatial big data. Topics of interest encompass a broad spectrum of research areas within remote sensing and earth observation, including but not limited to the following:

• Urban planning and development;
• Estimation of building heights and urban morphology;
• Socioeconomic analysis, including poverty and wealth distribution studies;
• Forest monitoring and ecosystem analysis;
• Digital twin technologies for urban and environmental modeling.

We encourage submissions that address multisource data integration, such as multispectral, hyperspectral, and thermal imaging, as well as multiscale approaches to remote sensing data analysis. Additionally, we welcome contributions that elucidate the methodologies employed, spanning from shallow models to deep learning techniques, in the generation of new remote sensing datasets. Prospective authors are invited to submit original research articles, reviews, or methodological studies that contribute to the advancement of remote sensing datasets and 3D visualization techniques for sustainable development.

Dr. Mohammad Kakooei
Dr. Meisam Amani
Dr. Yasser Baleghi
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.

• remote sensing
• 3D visualization
• urban planning
• dataset
• mapping
• satellite imagery