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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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 |
work_keys_str_mv |
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