Special Issue "Big Data for Urban Informatics and Earth Observation"
A special issue of ISPRS International Journal of Geo-Information (ISSN 2220-9964).
Deadline for manuscript submissions: closed (30 April 2016).
Interests: citizen observations; earth observation; geocomputation; data fusion; data quality; environmental monitoring and assessment
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Director, The Center for Human Dynamics in the Mobile Age, 5500 Campanile Drive, San Diego, CA 92182-4493, USA
Interests: Human Dynamics; Social Media; Big Data; Visualization; Internet Mapping; Web GIS; Mobile GIS; Cartography, and K-12 GISeducation
The recent availability of big data linked to geographical locations has provided the GIScientists and Remote Sensing scholars a new era of research in for Urban Informatics and Earth Observation. Big data era is far beyond storage and access and by making sense of it, hidden interconnected patterns of data and information can be revealed for the sake of for Urban Informatics and Earth Observation. The unique structure of big data requires new algorithms and methods for exploiting value-added information in various applications, including smart cities, land use change, urban planning, transportation, and biodiversity. On the other hand, the advanced development of spatio-temporal analysis algorithms and techniques has provided a unique opportunity for discovering uncovered information at (near) real time scale.
This Special Issue is dedicated to address the contributions of big data to assist in urban informatics and Earth observation and how it can help advancing geoinformatics-dependent applications, by improving the spatiality and temporality of traditional datasets in geoinformatics and remote sensing applications. Topics of interest include, but are not limited to:
- Innovative tools and toolkits for processing big (geo)data relevant to Earth observation
- Big (geo)data mining, data analytics and visualization for urban informatics
- Big (geo)data: Analysis and visualization for urban land use and land cover
- (Near) real time data-intensive applications for transportation.
- Models, algorithms, and methods for big data understanding, mining, and integration
- Case studies of big data including navigation, public health, 3D modeling, business planning, transportation, urban management, environmental monitoring, and smart cities
- Earth observation big data: Algorithms and applications
- Volunteered/contributed geographic information and crowdsourcing
- Digital Earth and augmented reality
- Indoor and outdoor navigation and routing
- Social media analysis and human dynamics
- Real-time disaster and risk management
- Socio-economic analysis, assessment, and modeling
Dr. Jamal Jokar Arsanjani
Prof. Ming-Hsiang (Ming) Tsou
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 papers will be 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. ISPRS International Journal of Geo-Information is an international peer-reviewed open access monthly 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 1400 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.