Special Issue: Spatial Technology and Social Media

Volume 105, Issue 10

October 2017

Guest Editors

Special Issue Papers

Scanning the Issue: Spatial Technology and Social Media

By A. Plaza, J. A. Benediktsson, J. Li, T. Yang, and B. Zhang

Spatial Technology and Social Media in Remote Sensing: A Survey

By J. Li, J. A. Benediktsson, B. Zhang, T. Yang, and A. Plaza

This paper provides an overview on the integration of social media content with remote-sensing-based spatial technologies.

Remote Sensing Image Scene Classification: Benchmark and State of the Art

By G. Cheng, J. Han, and X. Lu

This paper reviews the recent progress of remote sensing image scene classification, proposes a large-scale benchmark data set, and evaluates a number of state-of-the-art methods using the proposed data set.

Toward Seamless Multiview Scene Analysis From Satellite to Street Level

By S. Lefèvre, D. Tuia, J. D. Wegner, T. Produit, and A. S. Nassar

This paper provides a review of techniques for multiview scene analysis combining satellite/aerial and ground/street level imagery in order to perform scene registration, reconstruction, or classification.

Social Media: New Perspectives to Improve Remote Sensing for Emergency Response

By J. Li, Z. He, J. Plaza, S. Li, J. Chen, H. Wu, Y. Wang, and Y. Liu

This paper provides a detailed overview of strategies for the integration of social media and remote sensing data in time-critical applications. Several practical case studies and examples are presented in the context of applications focused on emergency response.

Potentials of Active and Passive Geospatial Crowdsourcing in Complementing Sentinel Data and Supporting Copernicus Service Portfolio

By F. Dell’Acqua and D. De Vecchi

The EU Copernicus initiative is a superb instance of systematic, open Earth monitoring from space and from ground. This paper provides reasons for “why” and “how” incorporating “citizen sensors” could make it even more effective in capturing relevant information.

A Novel Methodology to Label Urban Remote Sensing Images Based on Location-Based Social Media Photos

By M. Chi, Z. Sun, Y. Qin, J. Shen, and J. A. Benediktsson

This paper proposes a novel data methodology proposed to tackle the labeling problem of urban remote sensing images by exploiting big remote sensing data, comprising remote sensing images in urban areas and location-based social media data and provides a tentative solution to validate the effectiveness of the proposed methodology.