Forthcoming Special Issues
Advances in Large-Scale Computer Vision for Earth Observation Data Analytics
Sensors onboard satellites and UAVs collect a large amount of Earth Observation (EO) data for monitoring and assessing the changes of the earth’s surface. Computer vision (CV) together with deep learning has played an increasingly important role in large-scale EO data processing tasks such as change detection, land-cover mapping, and target recognition. These tasks motivate numerous applications, including large-scale surveillance, 3D urban modeling, natural hazard forecast and response, climate change monitoring, etc. Over the past decade, the collaboration between CV and EO communities has greatly improved the automated interpretation of EO data. Recently, a series of influential studies have been published in the CV community’s leading conferences and journals, including CVPR, ICCV, and TPAMI, and can further improve the performance of various scene parsing tasks. To further promote the development of EO data analysis, this special issue invites manuscripts that apply advanced CV techniques for EO data analysis, such as transformers, open-set recognition, transfer learning, zero-shot/few-shot learning. The broad topics include but are not limited to:
- Semantic and instance segmentation and classification of UAV/aerial/satellite images,
- Super-resolution in the spectral and spatial domain,
- 3D reconstruction of forestry and urban areas,
- 3D spatial modeling from EO images and LiDAR point clouds,
- Automated target recognition or detection,
- Multi-resolution, multi-sensor, multi-modal processing,
- Self-, weakly, and unsupervised approaches for learning with spatial data, and
- Digital twin representation of reality with identification, classification and localization of urban objects.
Manuscript submission deadline: December 31, 2022
Guest editors:
Dr. Wei Liu
School of Software, East China Jiaotong University, China
[email protected]
Dr. Zhiming Luo
Department of Artificial Intelligence, Xiamen University, China
[email protected]
Prof. Dr. Elif Sertel
Department of Geomatics Engineering, Istanbul Technical University, Turkey
[email protected]
Dr. Jefersson A. dos Santos
Department of Computer Science, Universidade Federal de Minas Gerais, Brazil
[email protected]
Dr. Zhun Zhong
Department of Information Engineering and Computer Science, University of Trento, Italy
[email protected]
Manuscript submission information:
Authors can submit manuscripts for the Special Issue using Editor Manager (https://www.editorialmanager.com/jag/default.aspx), the online submission system for the International Journal of Applied Earth Observation and Geoinformation. Please select ‘Special Issue: CV4EO’ as the article type. Submitted manuscripts will be peer-reviewed according to the guidelines, available on the website of the journal. Please note that articles will be published separately, in different volumes, after they are accepted and will be grouped online as a Special Issue. Please note that all articles will be open access with a 30% discount of the article publishing charge (APC).
Why publish in this Special Issue?
- Special Issue articles are published together on ScienceDirect, making it incredibly easy for other researchers to discover your work.
- Special content articles are downloaded on ScienceDirect twice as often within the first 24 months than articles published in regular issues.
- Special content articles attract 20% more citations in the first 24 months than articles published in regular issues.
- All articles in this special issue will be reviewed by no fewer than two independent experts to ensure the quality, originality and novelty of the work published.
Learn more about the benefits of publishing in a special issue: https://www.elsevier.com/authors/submit-your-paper/special-issues
Interested in becoming a guest editor? Discover the benefits of guest editing a special issue and the valuable contribution that you can make to your field: https://www.elsevier.com/editors/role-of-an-editor/guest-editors
Why publish in this Special Issue?
- Special Issue articles are published together on ScienceDirect, making it incredibly easy for other researchers to discover your work.
- Special content articles are downloaded on ScienceDirect twice as often within the first 24 months than articles published in regular issues.
- Special content articles attract 20% more citations in the first 24 months than articles published in regular issues.
- All articles in this special issue will be reviewed by no fewer than two independent experts to ensure the quality, originality and novelty of the work published.
Learn more about the benefits of publishing in a special issue: https://www.elsevier.com/authors/submit-your-paper/special-issues
Interested in becoming a guest editor? Discover the benefits of guest editing a special issue and the valuable contribution that you can make to your field: https://www.elsevier.com/editors/role-of-an-editor/guest-editors
Advances in Mobile Mapping Systems for Urban Digital Twins
Over the last two decades, mobile mapping systems (MMS) have become popular for 3D geospatial data acquisition. MMS can provide dense accurate point clouds and/or a large number of images using various sensors such as cameras and LiDAR mounted on manned/unmanned mobile devices (i.e., cars, trains, backpacks, robots, and drones). Besides, the usage of 3D modeling and Digital Twin technologies is exponentially rising due to their considerable applications in infrastructure management, intelligent transportation systems, security monitoring, urban planning, and smart cities. Because data acquisition is the first step for virtual representation of a physical asset, MMS data (images/point clouds) play a key role in creating urban Digital Twins. However, the immense data volume and complexity of urban scenes make MMS data processing a challenging task. This special issue invites manuscripts that focus on advances in utilizing MMS data for creating urban Digital Twins. Topics for this special issue include, but are not limited to:3D city model
- 3D scene reconstruction
- 3D indoor mapping and modeling
- Integration of indoor and outdoor poit clouds/models
- Building Information Model (BIM)
- Infrastructure Digital Twins
- High-definition (HD) map creation
- Simultaneous localization and mapping (SLAM)
- Point cloud registration and georeferencing algorithms
- Combining LiDAR point clouds and UAV photogrammetric point clouds
- Structural health monitoring
- Feature extraction and 3D object extraction/reconstruction
- 3D Semantic/Instance segmentation
Guest editors:
Dr. Heidar Rastiveis, Department of Photogrammetry and Remote Sensing, University of Tehran, Tehran, Iran[email protected]
Dr. Michel J.,Olsen, School of Civil and Construction Engineering, Oregon State University, USA
[email protected]
Dr. Lingli Zhu, Finnish Geospatial Research Institute
National Land Survey of Finland, Finland
[email protected]
Dr. Lingfei Ma, Central University of Finance and Economics, Beijing, China
[email protected]
Dr. Andrea Masiero, Department of Civil and Environmental Engineering, University of Florence, Italy
[email protected]
Manuscript submission information:
Submissions deadline: 31 August, 2022
Authors can submit manuscripts for the Special Issue using Editorial Manger®, the online submission system for the International Journal of Applied Earth Observation and Geoinformation. Please select ‘Special Issue: MMS for Digital Twins’ as the article type. Submitted manuscripts will be peer-reviewed according to the guidelines, available on the website, of the journal. Please note that articles will be published separately, in different volumes, after they are accepted, and will be grouped together online as a Special Issue.
Submit your manuscript to https://www.editorialmanager.com/JAG/ by 31 August, 2022.
Why publish in this Special Issue?
- Special Issue articles are published together on ScienceDirect, making it incredibly easy for other researchers to discover your work.
- Special content articles are downloaded on ScienceDirect twice as often within the first 24 months than articles published in regular issues.
- Special content articles attract 20% more citations in the first 24 months than articles published in regular issues.
- All articles in this special issue will be reviewed by no fewer than two independent experts to ensure the quality, originality and novelty of the work published.
Learn more about the benefits of publishing in a special issue: https://www.elsevier.com/authors/submit-your-paper/special-issues
Interested in becoming a guest editor? Discover the benefits of guest editing a special issue and the valuable contribution that you can make to your field: https://www.elsevier.com/editors/role-of-an-editor/guest-editors
Why publish in this Special Issue?
- Special Issue articles are published together on ScienceDirect, making it incredibly easy for other researchers to discover your work.
- Special content articles are downloaded on ScienceDirect twice as often within the first 24 months than articles published in regular issues.
- Special content articles attract 20% more citations in the first 24 months than articles published in regular issues.
- All articles in this special issue will be reviewed by no fewer than two independent experts to ensure the quality, originality and novelty of the work published.
Learn more about the benefits of publishing in a special issue: https://www.elsevier.com/authors/submit-your-paper/special-issues
Interested in becoming a guest editor? Discover the benefits of guest editing a special issue and the valuable contribution that you can make to your field: https://www.elsevier.com/editors/role-of-an-editor/guest-editors
Voxel-based modelling of natural and man-made objects
Voxel-based approaches have been extensively used to process and analyse continuous phenomena in many topics such as geology, meteorology and climate studies, maritime or the human body. With the advance of sensor technologies, voxels-based methods are increasingly investigated for processing of point clouds, urban analytics, monitoring and simulation of dynamic objects, or even substance dispersion. Voxel representations can offer robust, flexible and unified data structures, which can facilitate greatly volumetric, neighbourhood, and metric operations, as well as allow for integration of complex 3D data across different disciplines. They can also be used as a global 3D grid to support data localisation and data linkage. Voxel-based approaches have many benefits but require intentional design to be effective with large, high-resolution data sets. This special issue aims to explore and collect novel methods, research trends, and best practices in voxel-based modelling of geoinformation. This special issue includes but is not limited to:
Theoretical aspects of voxels:
- Creation and conversion methods
- Data structures for management of voxels
- Discrete Global GRID systems
- Operations in voxels space
- Visualisation of voxels
- Simulations
- Dispersion and interpolation models
- Voxel-based Machine learning
Use of voxels for modelling:
- Buildings and construction sites
- Infrastructure and facility management
- Indoor positioning and navigation
- Indoor and enclosed environments
- Vegetation, trees, forests
- Urban planning, cadastre, taxation
- Urban heat island, pollution, climate
- Underground utilities and structures
- Low altitude airspace and moving target trajectory
- Atmosphere and outer space
- Geology, geotechnology, soil pollution
- Water quality, sub-marine navigation
Submission deadline: 31 August 2022
Guest editors:
Prof. Dr. Sisi Zlatanova, UNSW Sydney, School of Built Environment, [email protected]
Prof. Dr. Fuhu Ren, Peking University, Collaborative Innovation Center for Geospatial Big Data, [email protected]
Dr. Yusheng Xu, Technische Universität München, Photogrammetry and Remote Sensing, [email protected]
Prof. Dr. Debra Laefer, New York University, Center for Urban Science & Progress, Department of Civil and Urban Engineering, [email protected]
Manuscript submission information:
Submission of manuscripts
Authors can submit manuscripts for the Special Issue using Editor Manager (https://www.editorialmanager.com/jag/default.aspx), the online submission system for the International Journal of Applied Earth Observation and Geoinformation.
The authors should select the ‘VSI: Voxel Modelling’ from the pull down menu.
Submitted manuscripts will be peer-reviewed according to the JAG guidelines, which are available on the website. Please note that all articles will be open access with an article publishing charge.
Submit your manuscript to https://www.editorialmanager.com/JAG/ by 31 August, 2022.
Why publish in this Special Issue?
- Special Issue articles are published together on ScienceDirect, making it incredibly easy for other researchers to discover your work.
- Special content articles are downloaded on ScienceDirect twice as often within the first 24 months than articles published in regular issues.
- Special content articles attract 20% more citations in the first 24 months than articles published in regular issues.
- All articles in this special issue will be reviewed by no fewer than two independent experts to ensure the quality, originality and novelty of the work published.
Learn more about the benefits of publishing in a special issue: https://www.elsevier.com/authors/submit-your-paper/special-issues
Interested in becoming a guest editor? Discover the benefits of guest editing a special issue and the valuable contribution that you can make to your field: https://www.elsevier.com/editors/role-of-an-editor/guest-editors
of publishing in a special issue: https://www.elsevier.com/authors/submit-your-paper/special-issues
Interested in becoming a guest editor? Discover the benefits of guest editing a special issue and the valuable contribution that you can make to your field: https://www.elsevier.com/editors/role-of-an-editor/guest-editors
Recent Advances in Geocomputation and GeoAI for Mapping
Mapping is an essential phase of understanding natural and built environments. Geocomputation and geospatial artificial intelligence (GeoAI) are primary methods of geospatial analysis for mapping, georeferencing and characterizing geoinformation. They have been utilized in a range of applications from ecological, environmental, and agricultural to urban, social, disease, and human behaviour mapping. In recent years, many new concepts, methods, techniques, and case studies have been reported on the basis of geospatial analysis. The innovative geospatial methods are usually developed regarding spatial heterogeneity, dependence, clustering, association, similarity, accessibility, interaction, extremes, scale, uncertainty, etc. In the studies, multi-source and multi-scale earth, social and open data provide more opportunities for mapping.
This Special Issue aims to collect “Recent Advances in Geocomputation and GeoAI for Mapping” to investigate new methodology and knowledge from geospatial analysis implementations.
The broad topics of this Special Issue include, but are not limited to:
· Geospatial analysis methods and applications
· Innovative geospatial methods and algorithms
· Characterization of geoinformation and geographical objects
· Spatial analysis, geostatistics, and stochastic modelling
· Spatial heterogeneity, dependence, clustering, association, and similarity
· Spatial accessibility, interaction, extremes, scale, and uncertainty
· Geocomputation for urban, social, and open data
· Methods and applications of GeoAI
· Theories and methods in mapping
· Ecological, climate, land use, agricultural, and risk assessment mapping
· Urban, social, infrastructure, disease, and human behaviour mapping
· Geospatial analysis for sustainable development
· Review of advances in geospatial theories and methods
Guest editors:
Name: Yongze Song
Organization: Curtin University, Australia
Email: [email protected]
Name: Margaret Kalacska
Organization: McGill University, Canada
Email:[email protected]
Name: Mateo Gašparović
Organization: University of Zagreb, Croatia
Email: [email protected]
Name: Jing Yao
Organization: University of Glasgow, UK
Email: [email protected]
Name: Nasser Najibi
Organization: Cornell University, USA
Email: [email protected]
Manuscript submission information:
Authors can submit manuscripts for the Special Issue using Editorial Manger®, the online submission system for the International Journal of Applied Earth Observation and Geoinformation. Please select ‘Special Issue: GeoAI for Mapping’ as the article type. Submitted manuscripts will be peer-reviewed according to the guidelines, available on the website, of the journal. Please note that articles will be published separately, in different volumes, after they are accepted, and will be grouped together online as a Special Issue. All the articles to be published in this special issue will receive 50% discount of the APC.
Submit your manuscript to https://www.editorialmanager.com/JAG/ by 1 September 2022.
Learn more about the benefits of publishing in a special issue: https://www.elsevier.com/authors/submit-your-paper/special-issues
Interested in becoming a guest editor? Discover the benefits of guest editing a special issue and the valuable contribution that you can make to your field: https://www.elsevier.com/editors/role-of-an-editor/guest-editors