Crowdsourcing in Remote Sensing: A Review of Applications and Future Directions

SARALIOĞLU E., GÜNGÖR O.

IEEE Geoscience and Remote Sensing Magazine, vol.8, pp.89-110, 2020 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 8
  • Publication Date: 2020
  • Doi Number: 10.1109/mgrs.2020.2975132
  • Journal Name: IEEE Geoscience and Remote Sensing Magazine
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex, Geobase
  • Page Numbers: pp.89-110
  • Keywords: Remote sensing, Crowdsourcing, Sensors, Satellites, Microwave radiometry, GEOGRAPHIC INFORMATION, SOCIAL MEDIA, ACCURACY ASSESSMENT, CLASSIFICATION, EARTH, OPENSTREETMAP, SYSTEMS, TOOL, IDENTIFICATION, TECHNOLOGIES
  • Karadeniz Technical University Affiliated: Yes

Abstract

The data obtained with remote sensing sensors are processed to fuel studies related to the Earth's resources and environment. Sensor technologies being developed are increasing the diversity and capabilities of remote sensing data. However, these advancements are also multiplying the volume of information enormously, straining resources for processing the data. Meanwhile, the analysis and interpretation of most satellite data have not yet been fully automated, and human intervention is still necessary at certain stages. In addition, recent deep-learning methods that offer solutions to many remote sensing problems require a large amount of labeled data.