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On the Potential of the RST-FLARE Algorithm for Gas Flaring Characterization from Space

An effective characterization of gas flaring is hampered by the lack of systematic, complete and reliable data on its magnitude and spatial distribution. In the last years, a few satellite methods have been developed to provide independent information on gas flaring activity at global, national and...

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Detalles Bibliográficos
Autores principales: Faruolo, Mariapia, Lacava, Teodosio, Pergola, Nicola, Tramutoli, Valerio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111741/
https://www.ncbi.nlm.nih.gov/pubmed/30061519
http://dx.doi.org/10.3390/s18082466
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author Faruolo, Mariapia
Lacava, Teodosio
Pergola, Nicola
Tramutoli, Valerio
author_facet Faruolo, Mariapia
Lacava, Teodosio
Pergola, Nicola
Tramutoli, Valerio
author_sort Faruolo, Mariapia
collection PubMed
description An effective characterization of gas flaring is hampered by the lack of systematic, complete and reliable data on its magnitude and spatial distribution. In the last years, a few satellite methods have been developed to provide independent information on gas flaring activity at global, national and local scale. Among these, a MODIS-based method, aimed at the computation of gas flared volumes by an Italian plant, was proposed. In this work, a more general version of this approach, named RST-FLARE, has been developed to provide reliable information on flaring sites localization and gas emitted volumes over a long time period for the Niger Delta region, one of the top five gas flaring areas in the world. Achieved results showed a good level of accuracy, in terms of flaring sites localization (95% of spatial match) and volume estimates (mean bias between in 16% and 20%, at annual scale and 2–9% in the long period) when compared to independent data, provided both by other satellite techniques and national/international organizations. Outcomes of this work seem to indicate that RST-FLARE can be used to provide, at different geographic scales, quite accurate data on gas flaring, suitable for monitoring purposes for governments and local authorities.
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spelling pubmed-61117412018-08-30 On the Potential of the RST-FLARE Algorithm for Gas Flaring Characterization from Space Faruolo, Mariapia Lacava, Teodosio Pergola, Nicola Tramutoli, Valerio Sensors (Basel) Article An effective characterization of gas flaring is hampered by the lack of systematic, complete and reliable data on its magnitude and spatial distribution. In the last years, a few satellite methods have been developed to provide independent information on gas flaring activity at global, national and local scale. Among these, a MODIS-based method, aimed at the computation of gas flared volumes by an Italian plant, was proposed. In this work, a more general version of this approach, named RST-FLARE, has been developed to provide reliable information on flaring sites localization and gas emitted volumes over a long time period for the Niger Delta region, one of the top five gas flaring areas in the world. Achieved results showed a good level of accuracy, in terms of flaring sites localization (95% of spatial match) and volume estimates (mean bias between in 16% and 20%, at annual scale and 2–9% in the long period) when compared to independent data, provided both by other satellite techniques and national/international organizations. Outcomes of this work seem to indicate that RST-FLARE can be used to provide, at different geographic scales, quite accurate data on gas flaring, suitable for monitoring purposes for governments and local authorities. MDPI 2018-07-30 /pmc/articles/PMC6111741/ /pubmed/30061519 http://dx.doi.org/10.3390/s18082466 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Faruolo, Mariapia
Lacava, Teodosio
Pergola, Nicola
Tramutoli, Valerio
On the Potential of the RST-FLARE Algorithm for Gas Flaring Characterization from Space
title On the Potential of the RST-FLARE Algorithm for Gas Flaring Characterization from Space
title_full On the Potential of the RST-FLARE Algorithm for Gas Flaring Characterization from Space
title_fullStr On the Potential of the RST-FLARE Algorithm for Gas Flaring Characterization from Space
title_full_unstemmed On the Potential of the RST-FLARE Algorithm for Gas Flaring Characterization from Space
title_short On the Potential of the RST-FLARE Algorithm for Gas Flaring Characterization from Space
title_sort on the potential of the rst-flare algorithm for gas flaring characterization from space
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111741/
https://www.ncbi.nlm.nih.gov/pubmed/30061519
http://dx.doi.org/10.3390/s18082466
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