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Open AccessArticle

Implementation of the NHI (Normalized Hot Spot Indices) Algorithm on Infrared ASTER Data: Results and Future Perspectives

1
Institute of Methodologies for Environmental Analysis (IMAA), Italian Research Council (CNR), 85050 Tito Scalo (PZ), Italy
2
Department of Geology and Environmental Science, University of Pittsburgh, Pittsburgh, PA 15260, USA
3
School of Engineering, University of Basilicata, 85100 Potenza, Italy
*
Author to whom correspondence should be addressed.
Academic Editor: Francesca Cigna
Sensors 2021, 21(4), 1538; https://doi.org/10.3390/s21041538
Received: 18 January 2021 / Revised: 15 February 2021 / Accepted: 18 February 2021 / Published: 23 February 2021
(This article belongs to the Special Issue Satellite Remote Sensing for Volcanic Applications)
The Normalized Hotspot Indices (NHI) tool is a Google Earth Engine (GEE)-App developed 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 satellites. 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 implementation, 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 manual 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 successful NHI exportability to ASTER data acquired before the failure of SWIR subsystem. The full ingestion 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. View Full-Text
Keywords: volcanoes; ASTER; NHI; Google Earth Engine volcanoes; ASTER; NHI; Google Earth Engine
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MDPI and ACS Style

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. Sensors 2021, 21, 1538. https://doi.org/10.3390/s21041538

AMA Style

Mazzeo G, Ramsey MS, Marchese F, Genzano N, Pergola N. Implementation of the NHI (Normalized Hot Spot Indices) Algorithm on Infrared ASTER Data: Results and Future Perspectives. Sensors. 2021; 21(4):1538. https://doi.org/10.3390/s21041538

Chicago/Turabian Style

Mazzeo, Giuseppe; Ramsey, Micheal S.; Marchese, Francesco; Genzano, Nicola; Pergola, Nicola. 2021. "Implementation of the NHI (Normalized Hot Spot Indices) Algorithm on Infrared ASTER Data: Results and Future Perspectives" Sensors 21, no. 4: 1538. https://doi.org/10.3390/s21041538

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