Synergy between COSPEC observations and MODIS images in the monitoring of volcanic SO2

J. C. Jimenez-Escalona, H. Delgado-Granados, A. Monsivais-Huertero, O. Peralta

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Volcano monitoring is developed mainly with remote sensing techniques. In the case of SO2, it has been strongly used both surface techniques, such as COSPEC, and satellite techniques, such as MODIS. The two techniques differ in their measurement principle presenting advantages and disadvantages to each other. The purpose of this work is to show the synergy of both remote sensing methods in order to utilize information derived from these two techniques for continuous volcano monitoring. In this communication, we propose a methodology to correct any lag between COSPEC measurements and MODIS images at either time or space based on the wind speed and difference of the exact time of acquisition between the two techniques. The difference observed between COSPEC data and MODIS estimates is removed by using an exponential regression function derived from simultaneous observations using both sensors.

Original languageEnglish
Title of host publication2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4801-4804
Number of pages4
ISBN (Electronic)9781479979295
DOIs
StatePublished - 10 Nov 2015
EventIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Milan, Italy
Duration: 26 Jul 201531 Jul 2015

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Volume2015-November

Conference

ConferenceIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015
Country/TerritoryItaly
CityMilan
Period26/07/1531/07/15

Keywords

  • COSPEC
  • MODIS
  • Remote Sensing
  • SO2 plume
  • Volcano monitoring

Fingerprint

Dive into the research topics of 'Synergy between COSPEC observations and MODIS images in the monitoring of volcanic SO2'. Together they form a unique fingerprint.

Cite this