A Tailored Approach for the Global Gas Flaring Investigation by Means of Daytime Satellite Imagery
The Daytime Approach for gas Flaring Investigation (DAFI), running in Google Earth Engine (GEE) environment, exploits a Normalized Hotspot Index (NHI), analyzing near-infrared and short-wave infrared radiances, to detect worldwide high-temperature gas flaring sites (GFs). Daytime Landsat 8—Operation...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-12-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/14/24/6319 |
| _version_ | 1797455455583207424 |
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| author | Mariapia Faruolo Nicola Genzano Francesco Marchese Nicola Pergola |
| author_facet | Mariapia Faruolo Nicola Genzano Francesco Marchese Nicola Pergola |
| author_sort | Mariapia Faruolo |
| collection | DOAJ |
| description | The Daytime Approach for gas Flaring Investigation (DAFI), running in Google Earth Engine (GEE) environment, exploits a Normalized Hotspot Index (NHI), analyzing near-infrared and short-wave infrared radiances, to detect worldwide high-temperature gas flaring sites (GFs). Daytime Landsat 8—Operational Land Imager (OLI) observations, of 2013–2021, represents the employed dataset. A temporal persistence criterion is applied to a gas flaring customized NHI product to select the GFs. It assures the 99% detection accuracy of more intense and stable GFs, with a very low false positive rate. As a result, the first daytime database and map of GF sites, operating during the last 9 years at global scale, has been generated. For each site, geographical metadata, frequency of occurrence and time persistence levels, at both monthly and annual scale, may be examined, through the specific developed GEE App. The present database will complement/integrate existing gas flaring maps. The joint use of global scale daytime and nighttime GFs inventories, in fact, will allow for tracking gas flaring dynamics in a timely manner. Moreover, it enables a better evaluation of GF emissions into the atmosphere. Finally, the next DAFI implementation on Landsat 9 and Sentinel 2 data will further improve our capabilities in identifying, mapping, monitoring and characterizing the GFs. |
| first_indexed | 2024-03-09T15:54:37Z |
| format | Article |
| id | doaj.art-8e29c4bdddda45608b8253b602fd831d |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T15:54:37Z |
| publishDate | 2022-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-8e29c4bdddda45608b8253b602fd831d2023-11-24T17:47:42ZengMDPI AGRemote Sensing2072-42922022-12-011424631910.3390/rs14246319A Tailored Approach for the Global Gas Flaring Investigation by Means of Daytime Satellite ImageryMariapia Faruolo0Nicola Genzano1Francesco Marchese2Nicola Pergola3Institute of Methodologies for Environmental Analysis, National Research Council, 85050 Tito Scalo, ItalySchool of Engineering, University of Basilicata, 85100 Potenza, ItalyInstitute of Methodologies for Environmental Analysis, National Research Council, 85050 Tito Scalo, ItalyInstitute of Methodologies for Environmental Analysis, National Research Council, 85050 Tito Scalo, ItalyThe Daytime Approach for gas Flaring Investigation (DAFI), running in Google Earth Engine (GEE) environment, exploits a Normalized Hotspot Index (NHI), analyzing near-infrared and short-wave infrared radiances, to detect worldwide high-temperature gas flaring sites (GFs). Daytime Landsat 8—Operational Land Imager (OLI) observations, of 2013–2021, represents the employed dataset. A temporal persistence criterion is applied to a gas flaring customized NHI product to select the GFs. It assures the 99% detection accuracy of more intense and stable GFs, with a very low false positive rate. As a result, the first daytime database and map of GF sites, operating during the last 9 years at global scale, has been generated. For each site, geographical metadata, frequency of occurrence and time persistence levels, at both monthly and annual scale, may be examined, through the specific developed GEE App. The present database will complement/integrate existing gas flaring maps. The joint use of global scale daytime and nighttime GFs inventories, in fact, will allow for tracking gas flaring dynamics in a timely manner. Moreover, it enables a better evaluation of GF emissions into the atmosphere. Finally, the next DAFI implementation on Landsat 9 and Sentinel 2 data will further improve our capabilities in identifying, mapping, monitoring and characterizing the GFs.https://www.mdpi.com/2072-4292/14/24/6319gas flaringNHILandsat 8-OLIdaytime infrared observationsDAFI GEE App |
| spellingShingle | Mariapia Faruolo Nicola Genzano Francesco Marchese Nicola Pergola A Tailored Approach for the Global Gas Flaring Investigation by Means of Daytime Satellite Imagery Remote Sensing gas flaring NHI Landsat 8-OLI daytime infrared observations DAFI GEE App |
| title | A Tailored Approach for the Global Gas Flaring Investigation by Means of Daytime Satellite Imagery |
| title_full | A Tailored Approach for the Global Gas Flaring Investigation by Means of Daytime Satellite Imagery |
| title_fullStr | A Tailored Approach for the Global Gas Flaring Investigation by Means of Daytime Satellite Imagery |
| title_full_unstemmed | A Tailored Approach for the Global Gas Flaring Investigation by Means of Daytime Satellite Imagery |
| title_short | A Tailored Approach for the Global Gas Flaring Investigation by Means of Daytime Satellite Imagery |
| title_sort | tailored approach for the global gas flaring investigation by means of daytime satellite imagery |
| topic | gas flaring NHI Landsat 8-OLI daytime infrared observations DAFI GEE App |
| url | https://www.mdpi.com/2072-4292/14/24/6319 |
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