Procedia Computer Science

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

Open Access

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

Abstract

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.

Keywords

  • Nightfire;
  • VIIRS;
  • Remote sensing;
  • clustering;
  • volcanoes

References

    • 1
    • Coppola, D., et al., 2015. Enhanced volcanic hot-spot detection using modis ir data: results from the mirova system.
    • 2
    • Elvidge, C.D., Zhizhin, M.N., Hsu, F.C., Baugh, K.E., 2013. Viirs nightfire: Satellite pyrometry at night. Remote Sensing of Environment 5, 4423–4449. doi:10.3390/rs5094423.
    • 3
    • Girina, O.A., Manevich, A.G., Melnikov, D.V., Nuzhdaev, A.A., Demyanchuk, Y.V., 2017. Kamchatkas and north kuril islands volcanoes activity in 2016 by kvert data, in: Materials of XX regional scientific conference ”Volcanism and related processes”, dedicated to volcanologists day, pp. 7–10. URL: http://www.kscnet.ru/ivs/publication/volc_day/2017/art1.pdf.
    • 4
    • Harris, A., 2013. THERMAL REMOTE SENSING OF ACTIVE VOLCANOES A Users Manual. cambridge university press.
    • 5
    • J.A. D.

    • Method for satellite identification of surface temperature fields of subpixel resolution

    • Remote Sensing of Environment, 11 (1981), pp. 221–229

    • 6
    • NOAA, a. Viirs nightfire data. URL: https://ngdc.noaa.gov/eog/viirs/download_viirs_fire.html.
    • 7
    • NOAA, b. Viirs sdr data. URL: https://www.class.ngdc.noaa.gov/saa/products/search?datatype_family=VIIRS_SDR.
    • 8
    • Trifonov, G., Zhizhin, M., Melnikov, D., Poyda, A., 2017. One year of kamchatka volcanoes live observation with viirs nightfire. URL: http://presentations.copernicus.org/EGU2017-11553_presentation.pdf.
    • 9
    • Wooster, M.J., Roberts, G., Perry, G.L.W., Kaufman, Y.J., 2005. Retrieval of biomass combustion rates and totals from fire radiative power observations: Frp derivation and calibration relationships between biomass consumption and fire radiative energy release. Journal of Geophysical Research 10. doi:10.1029/2005JD006018.
    • 10
    • Wright, R., 2015. Modvolc: 14 years of autonomous observations of effusive volcanism from space. Geological Society London Special Publications.

© 2017 Published by Elsevier B.V.