Spatial Modeling and Analysis with Geographical and Remote Sensing Data
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing for Geospatial Science".
Deadline for manuscript submissions: 31 March 2026 | Viewed by 1156
Special Issue Editors
2. China-EU Research Center for Environment and Landscape Management, Fujian Normal University, Fuzhou 350007, China
Interests: remote sensing
Interests: remote sensing; LiDAR applications; forestry; physical geography; ecology
Special Issues, Collections and Topics in MDPI journals
Interests: geodetic analysis of imaging remote sensing data and data integration; deformation time series modeling and statistical hypothesis testing; physical interpretation of deformation processes
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Spatial data modeling and analysis are key to understanding the dynamic changes in our complex world, providing crucial decision support for numerous fields such as resource management, environmental protection, urban planning, and disaster emergency response. The demand for accurate, efficient spatial data processing and intelligent analytical methods is continually growing.
Geographic Information Systems(GIS), as powerful platforms for spatial data management, processing, analysis, and visualization, combined with remote sensing technology, which provides abundant Earth observation data, offer unprecedented opportunities for spatial data modeling and analysis. Remote sensing technology can capture dynamic information of geographical phenomena at multi-scale, multi-spectral, and multi-temporal levels, while GIS provides robust tools for the in-depth mining of this information and for model construction.
Furthermore, with the rapid development of technologies such as Artificial Intelligence, Big Data, and Cloud Computing, the integrated application of remote sensing and GIS has made significant progress in terms of data acquisition capabilities, processing efficiency, and analytical intelligence. These advancements have opened new research avenues for exploring innovative spatial data modeling methods and addressing complex geospatial problems.
In this Special Issue on "Geographic Information System and Remote Sensing for Spatial Data Modeling and Analysis", we cordially invite scholars interested in remote sensing, GIS, and their applications in multidisciplinary fields to contribute manuscripts.
We particularly welcome contributions exploring technologies and applications for GIS and remote sensing data fusion, innovative spatial models for specific applications, Artificial Intelligence-based spatial analysis techniques, and spatio-temporal dynamic simulations in the context of Big Data. Review articles are also welcome.
Prof. Dr. Jinming Sha
Prof. Dr. Jinliang Wang
Dr. Ling Chang
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.
Keywords
- artificial intelligence in gis and remote sensing
- spatial data modeling
- data fusion
- spatiotemporal analysis
- big data analytics
- urban planning and environmental monitoring
- cloud computing for geospatial data
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