VIIRS Nightfire Remote Sensing Volcanoes

dc.contributor.authorTrifonov Grigory
dc.contributor.authorZhizhin Mikhail
dc.contributor.authorMelnikov Dmitry
dc.contributor.authorPoyda Alexey
dc.date.accessioned2019-09-03T11:02:32Z
dc.date.available2019-09-03T11:02:32Z
dc.date.issued2017
dc.description.abstractSatellite based remote sensing of active volcanoes has been performed in various forms since 1965. Compared to “on the ground” observations it lets data to be gathered globally at regular pace for long periods of time without the need for local maintenance. Currently existing publicly available volcanoes thermal activity monitoring systems rely on the detection algorithms narrowly specified for volcanoes temperature ranges and operate using the data from previous generation of sensors, which is supported with non-reserved constellation of two satellites. The presented work proposes pipeline (the sequence of actions) based on the clustering of the data received from the Nightfire thermal anomalies detection algorithm, which is not focused on the specific type of infrared sources. Pipeline has been tested on Kamchatka’s region 2016 year dataset and proved to produce sound results corresponding to manual observations.
dc.identifierhttp://repo.kscnet.ru/3160/
dc.identifierhttp://repo.kscnet.ru/3160/1/article/pii/S1877050917323992
dc.identifierhttps://www.sciencedirect.com/science/article/pii/S1877050917323992
dc.identifier10.1016/j.procs.2017.11.189
dc.identifier.citationTrifonov Grigory, Zhizhin Mikhail, Melnikov Dmitry, Poyda Alexey (2017) VIIRS Nightfire Remote Sensing Volcanoes // Procedia Computer Science. Vol. 119, pp. 307-314. doi: 10.1016/j.procs.2017.11.189.
dc.identifier.doi10.1016/j.procs.2017.11.189
dc.identifier.urihttps://repository.geologyscience.ru/handle/123456789/5964
dc.language.isoru
dc.subjectВулканы Камчатки
dc.subjectВулканы Курильских островов
dc.subjectremote sensing
dc.titleVIIRS Nightfire Remote Sensing Volcanoes
dc.typeСтатья

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