The VIIRS-Based RST-FLARE Configuration: The Val d’Agri Oil Center Gas Flaring Investigation in Between 2015–2019
The RST (Robust Satellite Techniques)-FLARE algorithm is a satellite-based method using a multitemporal statistical analysis of nighttime infrared signals strictly related to industrial hotspots, such as gas flares. The algorithm was designed for both identifying and characterizing gas flares in ter...
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doaj-485d10738e67416c85c6db5fb9622a3b2020-11-25T01:41:39ZengMDPI AGRemote Sensing2072-42922020-03-0112581910.3390/rs12050819rs12050819The VIIRS-Based RST-FLARE Configuration: The Val d’Agri Oil Center Gas Flaring Investigation in Between 2015–2019Mariapia Faruolo0Teodosio Lacava1Nicola Pergola2Valerio Tramutoli3Institute of Methodologies for Environmental Analysis—National Research Council, 85050 Tito Scalo, ItalyInstitute of Methodologies for Environmental Analysis—National Research Council, 85050 Tito Scalo, ItalyInstitute of Methodologies for Environmental Analysis—National Research Council, 85050 Tito Scalo, ItalySchool of Engineering, University of Basilicata, 85100 Potenza, ItalyThe RST (Robust Satellite Techniques)-FLARE algorithm is a satellite-based method using a multitemporal statistical analysis of nighttime infrared signals strictly related to industrial hotspots, such as gas flares. The algorithm was designed for both identifying and characterizing gas flares in terms of radiant/emissive power. The Val d’Agri Oil Center (COVA) is a gas and oil pre-treatment plant operating for about two decades within an anthropized area of Basilicata region (southern Italy) where it represents a significant potential source of social and environmental impacts. RST-FLARE, developed to study and monitor the gas flaring activity of this site by means of MODIS (Moderate Resolution Imaging Spectroradiometer) data, has exported VIIRS (Visible Infrared Imaging Radiometer Suite) records by exploiting the improved spatial and spectral properties offered by this sensor. In this paper, the VIIRS-based configuration of RST-FLARE is presented and its application on the recent (2015-2019) gas flaring activity at COVA is analyzed and discussed. Its performance in gas flaring characterization is in good agreement with VIIRS Nightfire outputs to which RST-FLARE seems to provide some add-ons. The great consistency of radiant heat estimates computed with both RST-FLARE developed configurations allows proposing a multi-sensor RST-FLARE strategy for a more accurate multi-year analysis of gas flaring.https://www.mdpi.com/2072-4292/12/5/819gas flaringrobust satellite techniquesrst-flareviirsswirmwirdetectioncharacterizationval d’agri oil center |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mariapia Faruolo Teodosio Lacava Nicola Pergola Valerio Tramutoli |
spellingShingle |
Mariapia Faruolo Teodosio Lacava Nicola Pergola Valerio Tramutoli The VIIRS-Based RST-FLARE Configuration: The Val d’Agri Oil Center Gas Flaring Investigation in Between 2015–2019 Remote Sensing gas flaring robust satellite techniques rst-flare viirs swir mwir detection characterization val d’agri oil center |
author_facet |
Mariapia Faruolo Teodosio Lacava Nicola Pergola Valerio Tramutoli |
author_sort |
Mariapia Faruolo |
title |
The VIIRS-Based RST-FLARE Configuration: The Val d’Agri Oil Center Gas Flaring Investigation in Between 2015–2019 |
title_short |
The VIIRS-Based RST-FLARE Configuration: The Val d’Agri Oil Center Gas Flaring Investigation in Between 2015–2019 |
title_full |
The VIIRS-Based RST-FLARE Configuration: The Val d’Agri Oil Center Gas Flaring Investigation in Between 2015–2019 |
title_fullStr |
The VIIRS-Based RST-FLARE Configuration: The Val d’Agri Oil Center Gas Flaring Investigation in Between 2015–2019 |
title_full_unstemmed |
The VIIRS-Based RST-FLARE Configuration: The Val d’Agri Oil Center Gas Flaring Investigation in Between 2015–2019 |
title_sort |
viirs-based rst-flare configuration: the val d’agri oil center gas flaring investigation in between 2015–2019 |
publisher |
MDPI AG |
series |
Remote Sensing |
issn |
2072-4292 |
publishDate |
2020-03-01 |
description |
The RST (Robust Satellite Techniques)-FLARE algorithm is a satellite-based method using a multitemporal statistical analysis of nighttime infrared signals strictly related to industrial hotspots, such as gas flares. The algorithm was designed for both identifying and characterizing gas flares in terms of radiant/emissive power. The Val d’Agri Oil Center (COVA) is a gas and oil pre-treatment plant operating for about two decades within an anthropized area of Basilicata region (southern Italy) where it represents a significant potential source of social and environmental impacts. RST-FLARE, developed to study and monitor the gas flaring activity of this site by means of MODIS (Moderate Resolution Imaging Spectroradiometer) data, has exported VIIRS (Visible Infrared Imaging Radiometer Suite) records by exploiting the improved spatial and spectral properties offered by this sensor. In this paper, the VIIRS-based configuration of RST-FLARE is presented and its application on the recent (2015-2019) gas flaring activity at COVA is analyzed and discussed. Its performance in gas flaring characterization is in good agreement with VIIRS Nightfire outputs to which RST-FLARE seems to provide some add-ons. The great consistency of radiant heat estimates computed with both RST-FLARE developed configurations allows proposing a multi-sensor RST-FLARE strategy for a more accurate multi-year analysis of gas flaring. |
topic |
gas flaring robust satellite techniques rst-flare viirs swir mwir detection characterization val d’agri oil center |
url |
https://www.mdpi.com/2072-4292/12/5/819 |
work_keys_str_mv |
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