Implementation of the NHI (Normalized hot spot indices) algorithm on infrared aster data: Results and future perspectives
The Normalized Hotspot Indices (NHI) tool is a Google Earth Engine (GEE)-App devel-oped to investigate and map worldwide volcanic thermal anomalies in daylight conditions, using shortwave infrared (SWIR) and near infrared (NIR) data from the Multispectral Instrument (MSI) and the Operational Land Im...
Published in: | Sensors |
---|---|
Main Authors: | , , , , |
Other Authors: | , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
2021
|
Subjects: | |
Online Access: | http://hdl.handle.net/11563/156668 https://doi.org/10.3390/s21041538 |
id |
ftunivbasilicata:oai:iris.unibas.it:11563/156668 |
---|---|
record_format |
openpolar |
spelling |
ftunivbasilicata:oai:iris.unibas.it:11563/156668 2024-04-14T08:14:12+00:00 Implementation of the NHI (Normalized hot spot indices) algorithm on infrared aster data: Results and future perspectives Mazzeo G. Ramsey M. S. Marchese F. Genzano N. Pergola N. Mazzeo, G. Ramsey, M. S. Marchese, F. Genzano, N. Pergola, N. 2021 http://hdl.handle.net/11563/156668 https://doi.org/10.3390/s21041538 eng eng volume:21 issue:4 firstpage:1 lastpage:16 numberofpages:16 journal:SENSORS http://hdl.handle.net/11563/156668 doi:10.3390/s21041538 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85101219171 info:eu-repo/semantics/restrictedAccess ASTER Google Earth Engine NHI Volcanoes info:eu-repo/semantics/article 2021 ftunivbasilicata https://doi.org/10.3390/s21041538 2024-03-21T17:28:47Z The Normalized Hotspot Indices (NHI) tool is a Google Earth Engine (GEE)-App devel-oped to investigate and map worldwide volcanic thermal anomalies in daylight conditions, using shortwave infrared (SWIR) and near infrared (NIR) data from the Multispectral Instrument (MSI) and the Operational Land Imager (OLI), respectively, onboard the Sentinel 2 and Landsat 8 satel-lites. The NHI tool offers the possibility of ingesting data from other sensors. In this direction, we tested the NHI algorithm for the first time on Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data. In this study, we show the results of this preliminary implementa-tion, achieved investigating the Kilauea (Hawaii, USA), Klyuchevskoy (Kamchatka; Russia), Shishaldin (Alaska; USA), and Telica (Nicaragua) thermal activities of March 2000–2008. We assessed the NHI detections through comparison with the ASTER Volcano Archive (AVA), the man-ual inspection of satellite imagery, and the information from volcanological reports. Results show that NHI integrated the AVA observations, with a percentage of unique thermal anomaly detections ranging between 8.8% (at Kilauea) and 100% (at Shishaldin). These results demonstrate the success-ful NHI exportability to ASTER data acquired before the failure of SWIR subsystem. The full inges-tion of the ASTER data collection, available in GEE, within the NHI tool allows us to develop a suite of multi-platform satellite observations, including thermal anomaly products from Landsat Thematic Mapper (TM) and Enhanced Thematic Mapper Plus (ETM+), which could support the investigation of active volcanoes from space, complementing information from other systems. Article in Journal/Newspaper Kamchatka Alaska Università degli Studi della Basilicata: CINECA IRIS The Sentinel ENVELOPE(73.317,73.317,-52.983,-52.983) Sensors 21 4 1538 |
institution |
Open Polar |
collection |
Università degli Studi della Basilicata: CINECA IRIS |
op_collection_id |
ftunivbasilicata |
language |
English |
topic |
ASTER Google Earth Engine NHI Volcanoes |
spellingShingle |
ASTER Google Earth Engine NHI Volcanoes Mazzeo G. Ramsey M. S. Marchese F. Genzano N. Pergola N. Implementation of the NHI (Normalized hot spot indices) algorithm on infrared aster data: Results and future perspectives |
topic_facet |
ASTER Google Earth Engine NHI Volcanoes |
description |
The Normalized Hotspot Indices (NHI) tool is a Google Earth Engine (GEE)-App devel-oped to investigate and map worldwide volcanic thermal anomalies in daylight conditions, using shortwave infrared (SWIR) and near infrared (NIR) data from the Multispectral Instrument (MSI) and the Operational Land Imager (OLI), respectively, onboard the Sentinel 2 and Landsat 8 satel-lites. The NHI tool offers the possibility of ingesting data from other sensors. In this direction, we tested the NHI algorithm for the first time on Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data. In this study, we show the results of this preliminary implementa-tion, achieved investigating the Kilauea (Hawaii, USA), Klyuchevskoy (Kamchatka; Russia), Shishaldin (Alaska; USA), and Telica (Nicaragua) thermal activities of March 2000–2008. We assessed the NHI detections through comparison with the ASTER Volcano Archive (AVA), the man-ual inspection of satellite imagery, and the information from volcanological reports. Results show that NHI integrated the AVA observations, with a percentage of unique thermal anomaly detections ranging between 8.8% (at Kilauea) and 100% (at Shishaldin). These results demonstrate the success-ful NHI exportability to ASTER data acquired before the failure of SWIR subsystem. The full inges-tion of the ASTER data collection, available in GEE, within the NHI tool allows us to develop a suite of multi-platform satellite observations, including thermal anomaly products from Landsat Thematic Mapper (TM) and Enhanced Thematic Mapper Plus (ETM+), which could support the investigation of active volcanoes from space, complementing information from other systems. |
author2 |
Mazzeo, G. Ramsey, M. S. Marchese, F. Genzano, N. Pergola, N. |
format |
Article in Journal/Newspaper |
author |
Mazzeo G. Ramsey M. S. Marchese F. Genzano N. Pergola N. |
author_facet |
Mazzeo G. Ramsey M. S. Marchese F. Genzano N. Pergola N. |
author_sort |
Mazzeo G. |
title |
Implementation of the NHI (Normalized hot spot indices) algorithm on infrared aster data: Results and future perspectives |
title_short |
Implementation of the NHI (Normalized hot spot indices) algorithm on infrared aster data: Results and future perspectives |
title_full |
Implementation of the NHI (Normalized hot spot indices) algorithm on infrared aster data: Results and future perspectives |
title_fullStr |
Implementation of the NHI (Normalized hot spot indices) algorithm on infrared aster data: Results and future perspectives |
title_full_unstemmed |
Implementation of the NHI (Normalized hot spot indices) algorithm on infrared aster data: Results and future perspectives |
title_sort |
implementation of the nhi (normalized hot spot indices) algorithm on infrared aster data: results and future perspectives |
publishDate |
2021 |
url |
http://hdl.handle.net/11563/156668 https://doi.org/10.3390/s21041538 |
long_lat |
ENVELOPE(73.317,73.317,-52.983,-52.983) |
geographic |
The Sentinel |
geographic_facet |
The Sentinel |
genre |
Kamchatka Alaska |
genre_facet |
Kamchatka Alaska |
op_relation |
volume:21 issue:4 firstpage:1 lastpage:16 numberofpages:16 journal:SENSORS http://hdl.handle.net/11563/156668 doi:10.3390/s21041538 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85101219171 |
op_rights |
info:eu-repo/semantics/restrictedAccess |
op_doi |
https://doi.org/10.3390/s21041538 |
container_title |
Sensors |
container_volume |
21 |
container_issue |
4 |
container_start_page |
1538 |
_version_ |
1796312335347875840 |