Volume 119, 2017, Pages 307–314
6th International Young Scientist Conference on Computational Science, YSC 2017, 01-03 November 2017, Kotka, Finland
Edited By Alexandra Klimova, Anna Bilyatdinova, Jari Kortelainen and Alexander Boukhanovsky
VIIRS Nightfire Remote Sensing Volcanoes
- a Moscow State University, Moscow, Russia
- b CIRES, University of Colorado, Boulder, Colorado, U.S.A.
- c Institute of Volcanology and Seismology, Petropavlovsk-Kamchatsky, Russia
- d National Research Centre “Kurchatov Institute”, Moscow, Russia
- Available online 1 December 2017
Satellite 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.
- Remote sensing;
© 2017 Published by Elsevier B.V.