Data Fusion for IoMT in Shiping

Atanasov, Veselin; Sivkov, Yordan

doi:10.1109/siela49118.2020.9167126

Cited by 4 publications

(1 citation statement)

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“…For the disaster assessment [7,9,11,13,15,17,19] in the area of the Türkiye -Syria border Sentinel-2 images with close to zero percentage cloud coverage was selected. Two products covered plate T36SYF in accordance of European Space Agency (ESA) naming nomenclature from dates 2022.10.27 and 2023.03.01 was used for the survey presentation in the paper.…”

Section: Satellite Datamentioning

confidence: 99%

Change detection techniques for urban area disaster assessment using high resolution satellite data

Tsvetkov

2023

Ninth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2023)

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Unfortunately, the year 2023 began with a devastating earthquakes unprecedented in recent years, spreading over the territories of two neighboring countries (Turkey and Syria) located on the same tectonic plate. On the night of February 6, 2023, Turkey and Syria were hit by a powerful 7.8 magnitude earthquake. The earthquake was one of the strongest in the region in more than a century. Even more devastation was caused by aftershocks that hit both countries hours later. A few days later, weaker earthquakes were reported in two other countries (Romania and Croatia) located on different with respect to first one, but neighboring, tectonic plate. This paper represents an approach for using change detection techniques based on free access high resolution Earth observation satellite data (Sentinel, Landsat) for assessment of the consequences caused by earthquakes in an urban area. Known change detection techniques have been investigated such as: image differencing, image rationing, change detection based on indexes calculation and comparison, etc.As a result, a comparative analysis of the investigated change detection techniques with respect to an urban area adequacy is presented.

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Section: Satellite Datamentioning

confidence: 99%