Detection of Thermal Changes Related to the 2011 Shinmoedake Volcano Activity and Japan: Spatiotemporal Variation of Singularity of MODIS Data After Discriminating False Changes Due to Cloud

<b> </b>We proposed a cloud discrimination method applicable in Japan using MODIS nighttime data, monitored the singularity of the spatiotemporal correlation of surface temperature anomalies and investigated the possibility of detecting and monitoring lava activity in Shinmoedake. With t...

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Main Authors: Rika Tsutsumi, Katsumi Hattori, Chie Yoshino, Nicola Genzano
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/12/16/2637
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spelling doaj-ff4b91c3075a4e25a365d0eb2057e7042020-11-25T03:46:39ZengMDPI AGRemote Sensing2072-42922020-08-01122637263710.3390/rs12162637Detection of Thermal Changes Related to the 2011 Shinmoedake Volcano Activity and Japan: Spatiotemporal Variation of Singularity of MODIS Data After Discriminating False Changes Due to CloudRika Tsutsumi0Katsumi Hattori1Chie Yoshino2Nicola Genzano3Graduate School of Science, Chiba University, Chiba 263-8522, JapanGraduate School of Science, Chiba University, Chiba 263-8522, JapanGraduate School of Science, Chiba University, Chiba 263-8522, JapanSchool of Engineering, University of Basilicata, Potenza 85100, Italy<b> </b>We proposed a cloud discrimination method applicable in Japan using MODIS nighttime data, monitored the singularity of the spatiotemporal correlation of surface temperature anomalies and investigated the possibility of detecting and monitoring lava activity in Shinmoedake. With the aim to detect lava eruption activity in 2011, nine years of data from 2003 to 2011 were analyzed. As a result, the first anomalous singularity in brightness temperature was detected on 26 January 2011. Moreover, the maximum value was detected on 30 January 2011. The values showed larger ones until early February 2011. When an anomalous singularity appeared, it was the only period with the magma-related volcanic activity for Shinmoedake over the analyzed period of nine years. The above facts indicate the effectiveness of the proposed singularity method to monitor the lava activity for Shinmoedake. Therefore, it is concluded that if cloud discrimination is realized with high accuracy, no spurious changes will come to arise, and no false detection of hotspots will be given.https://www.mdpi.com/2072-4292/12/16/2637ShinmoedakeMODISsingularitycloud discriminationbrightness temperaturebrightness temperature difference
collection DOAJ
language English
format Article
sources DOAJ
author Rika Tsutsumi
Katsumi Hattori
Chie Yoshino
Nicola Genzano
spellingShingle Rika Tsutsumi
Katsumi Hattori
Chie Yoshino
Nicola Genzano
Detection of Thermal Changes Related to the 2011 Shinmoedake Volcano Activity and Japan: Spatiotemporal Variation of Singularity of MODIS Data After Discriminating False Changes Due to Cloud
Remote Sensing
Shinmoedake
MODIS
singularity
cloud discrimination
brightness temperature
brightness temperature difference
author_facet Rika Tsutsumi
Katsumi Hattori
Chie Yoshino
Nicola Genzano
author_sort Rika Tsutsumi
title Detection of Thermal Changes Related to the 2011 Shinmoedake Volcano Activity and Japan: Spatiotemporal Variation of Singularity of MODIS Data After Discriminating False Changes Due to Cloud
title_short Detection of Thermal Changes Related to the 2011 Shinmoedake Volcano Activity and Japan: Spatiotemporal Variation of Singularity of MODIS Data After Discriminating False Changes Due to Cloud
title_full Detection of Thermal Changes Related to the 2011 Shinmoedake Volcano Activity and Japan: Spatiotemporal Variation of Singularity of MODIS Data After Discriminating False Changes Due to Cloud
title_fullStr Detection of Thermal Changes Related to the 2011 Shinmoedake Volcano Activity and Japan: Spatiotemporal Variation of Singularity of MODIS Data After Discriminating False Changes Due to Cloud
title_full_unstemmed Detection of Thermal Changes Related to the 2011 Shinmoedake Volcano Activity and Japan: Spatiotemporal Variation of Singularity of MODIS Data After Discriminating False Changes Due to Cloud
title_sort detection of thermal changes related to the 2011 shinmoedake volcano activity and japan: spatiotemporal variation of singularity of modis data after discriminating false changes due to cloud
publisher MDPI AG
series Remote Sensing
issn 2072-4292
publishDate 2020-08-01
description <b> </b>We proposed a cloud discrimination method applicable in Japan using MODIS nighttime data, monitored the singularity of the spatiotemporal correlation of surface temperature anomalies and investigated the possibility of detecting and monitoring lava activity in Shinmoedake. With the aim to detect lava eruption activity in 2011, nine years of data from 2003 to 2011 were analyzed. As a result, the first anomalous singularity in brightness temperature was detected on 26 January 2011. Moreover, the maximum value was detected on 30 January 2011. The values showed larger ones until early February 2011. When an anomalous singularity appeared, it was the only period with the magma-related volcanic activity for Shinmoedake over the analyzed period of nine years. The above facts indicate the effectiveness of the proposed singularity method to monitor the lava activity for Shinmoedake. Therefore, it is concluded that if cloud discrimination is realized with high accuracy, no spurious changes will come to arise, and no false detection of hotspots will be given.
topic Shinmoedake
MODIS
singularity
cloud discrimination
brightness temperature
brightness temperature difference
url https://www.mdpi.com/2072-4292/12/16/2637
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