Application of Web-GIS and Geovisual Analytics to Monitoring of Seabed Evolution in South Baltic Sea Coastal Areas-Reference-Cited by-同舟云学术

Application of Web-GIS and Geovisual Analytics to Monitoring of Seabed Evolution in South Baltic Sea Coastal Areas

Published:2018-07-04 Issue:4 Volume:41 Page:405-426
ISSN:0149-0419
Container-title:Marine Geodesy
language:en
Short-container-title:Marine Geodesy

Author:

Kulawiak Marcin¹,Chybicki Andrzej¹

Affiliation:

1. Department of Geoinformatics, Faculty of Electronics, Telecommunication and Informatics, Gdansk University of Technology, Gdansk, Poland

Publisher

Informa UK Limited

Subject

Oceanography

Link

https://www.tandfonline.com/doi/pdf/10.1080/01490419.2018.1469557

Reference50 articles.

1. Geovisual analytics for spatial decision support: Setting the research agenda

2. Arianespace. 2014. Arianespace boosts Sentinel-1 A Earth observation satellite into orbit. Arianespace Communications Department. Available at http://www.arianespace.com/press-release/arianespace-boosts-sentinel-1a-earth-observation-satellite-into-orbit/. Last accessed Accessed at 26 May 2017.

3. Mapping coral reefs using consumer-grade drones and structure from motion photogrammetry techniques

4. GIS for remote sensing, analysis and visualisation of marine pollution and other marine ecosystem components

5. Characterizing Surface and Air Temperature in the Baltic Sea Coastal Area Using Remote Sensing Techniques and Gis

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