Geosystems Hellas S.A.
 
Landslide Detection using Sentinels monitoring the June 2017 disaster event in Amyntaio mine.

Landslide Detection using Sentinels monitoring the June 2017 disaster event in Amyntaio mine.

Operational, rapid and automatic landslide detection provides vital information for decision making and risk monitoring. Copernicus/ESA data can contribute to this topic as provide free use, efficient information, high temporal frequency, and big area cover. Multimodal approaches such a synergy of Sentinel 1 and 2 processes can lead to proper detection of landslide phenomena. In this study we proposed a synergistic landslide detection framework using Sentinel 1 and Sentinel 2 data and applying several change detection algorithms through Erdas Imagine software. As case study, the landslide of the Amyntaio’s mine in Greece at 10/6/2017 was selected. The landslide was rapidly and effectively detected through operational and automatic processes.

 

Further reading:

  • Eomag/Earsc articles:

http://eomag.eu/articles/4157/landslide-detection-using-sentinels-monitoring-the-june-2017-disaster-event-in-amyntaio-mine

  • 5th National Conference of Rural & Surveying engineering:

http://psdatm.gr/index.php/latest-nes/2016-08-10-14-14-36/261-5-3

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