Application of Spatial Information Science and Cartography in the Big Remotely Sensed Data Era

Dear Colleagues,

The era of big remotely sensed data has transformed our understanding of the Earth's surface. Integrating spatial information science and cartography is crucial for leveraging the vast data generated by remote sensing technologies. Spatial information science involves techniques for collecting, analyzing, and interpreting spatial data, while cartography focuses on designing and creating visual representations. Together, they enable precise analyses of environmental, social, and economic phenomena. This Special Issue explores advancements in spatial information science and cartography, emphasizing their importance in urban planning, disaster management, environmental monitoring, and resource management.

This Special Issue aims to provide a platform for researchers, practitioners, and policymakers to share innovative approaches and case studies on applying spatial information science and cartography in the big remotely sensed data era. By gathering diverse perspectives, this Special Issue seeks to enhance spatial data utilization for better decision-making and problem-solving processes. This subject aligns with Remote Sensing’s scope as we aim to promote interdisciplinary research and the development of new tools and techniques for accurate, efficient spatial analyses and cartographic representations in large-scale data contexts.

We invite submissions focused on the following topics:

• Innovative methods for processing and analyzing big remotely sensed data;
• Advances in cartographic visualization techniques;
• Integration of spatial information science and machine learning;
• Applications in urban planning and smart cities;
• Disaster management and emergency response;
• Environmental monitoring and assessment;
• Resource management and sustainable development;
• Case studies of practical applications;
• Classification and retrieval for optical or multispectral remote sensing;
• Geological hazards monitoring and early warning;
• Multisource heterogeneous geosciences knowledge graph;
• Large language models;
• Remote sensing images and multimedia steganography;
• Super-resolution remote sensing images.

We welcome the following types of papers:

• Original research articles;
• Review articles;
• Case studies;
• Technical notes on new tools, software, or datasets.

Contributors are welcome to present interdisciplinary research and collaborative efforts that showcase the transformative potential of spatial information science and cartography in the big remotely sensed data era.

Prof. Dr. Xi Chen
Prof. Dr. Mingqiang Guo
Dr. Antonios Emmanouil Chatzipavlis
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 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.