The VIIRS-Based RST-FLARE Configuration: The Val d’Agri Oil Center Gas Flaring Investigation in Between 2015–2019

Faruolo, Mariapia; Lacava, Teodosio; Pergola, Nicola; Tramutoli, Valerio

doi:10.3390/rs12050819

Cited by 10 publications

(8 citation statements)

References 38 publications

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“…The figure also shows the thermal anomaly identified on a satellite scene of 14 December 2019, corresponding to the peak of hot spot pixels, revealing the presence of two hot areas. In previous studies, gas-flaring activity at COVA was investigated and quantified using nighttime MODIS and Visible Infrared Imaging Radiometer Suite (VIIRS) data [80,81]. Information from L8-OLI/S2-MSI imagery could then integrate observations from other systems, allowing for estimates of the fire radiative power (FRP), and of volume of emitted gas, in daylight conditions (e.g., [82,83]).…”

Section: Future Perspectivesmentioning

confidence: 99%

A Google Earth Engine Tool to Investigate, Map and Monitor Volcanic Thermal Anomalies at Global Scale by Means of Mid-High Spatial Resolution Satellite Data

2020

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Several satellite-based systems have been developed over the years to study and monitor thermal volcanic activity. Most of them use high temporal resolution satellite data, provided by sensors like the Moderate Resolution Imaging Spectroradiometer (MODIS) that if on the one hand guarantee a continuous monitoring of active volcanic areas on the other hand are less suited to map thermal anomalies, and to provide accurate information about their features. The Multispectral Instrument (MSI) and the Operational Land Imager (OLI), respectively, onboard the Sentinel-2 and Landsat-8 satellites, providing Short-Wave Infrared (SWIR) data at 20 m (MSI) and 30 m (OLI) spatial resolution, may make an important contribution in this area. In this work, we present the first Google Earth Engine (GEE) App to investigate, map and monitor volcanic thermal anomalies at global scale, integrating Landsat-8 OLI and Sentinel-2 MSI observations. This open tool, which implements the Normalized Hot spot Indices (NHI) algorithm, enables the analysis of more than 1400 active volcanoes, with very low processing times, thanks to the high GEE computational resources. Performance and limitations of the tool, such as its next upgrades, aiming at increasing the user-friendly experience and extending the temporal range of data analyses, are analyzed and discussed.

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Section: Future Perspectivesmentioning

confidence: 99%

A Google Earth Engine Tool to Investigate, Map and Monitor Volcanic Thermal Anomalies at Global Scale by Means of Mid-High Spatial Resolution Satellite Data

2020

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“…However, the present 5 year (2014-2018) period of study is not large enough to enable the assessment of long-term variations in water quality due to both natural and anthropogenic activities. Furthermore, the high environmental relevance of this reservoir suggests the need to extend the period of analysis in order to investigate possible changes in water quality before and after the occurrence of human-induced pressures (i.e., the oil extraction and pre-treatment activities carried out by ENI in the Agri Valley domain since 2001 [81]). To create a long-term combined dataset and characterize unperturbed PL conditions, it would be worth exporting this locally tuned TSM model to Landsat 5 Thematic Mapper (1984-2011 and Landsat 7 Enhance Thematic Mapper plus (1999-present), taking into account that these satellite-sensor systems show a suitable spectral configuration (i.e., similar Red bands to OLI-L8 system).…”

Section: Future Perspectivesmentioning

confidence: 99%

Modeling and Multi-Temporal Characterization of Total Suspended Matter by the Combined Use of Sentinel 2-MSI and Landsat 8-OLI Data: The Pertusillo Lake Case Study (Italy)

et al. 2020

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The total suspended matter (TSM) variability plays a crucial role in a lake’s ecological functioning and its biogeochemical cycle. Sentinel-2A MultiSpectral Instrument (MSI) and Landsat 8 Operational Land Instrument (OLI) data offer unique opportunities for investigating certain in-water constituents (e.g., TSM and chlorophyll-a) owing to their spatial resolution (10–60 m). In this framework, we assessed the potential of MSI–OLI combined data in characterizing the multi-temporal (2014–2018) TSM variability in Pertusillo Lake (Basilicata region, Southern Italy). We developed and validated a customized MSI-based TSM model (R2 = 0.81) by exploiting ground measurements acquired during specific measurement campaigns. The model was then exported as OLI data through an intercalibration procedure (R2 = 0.87), allowing for the generation of a TSM multi-temporal MSI–OLI merged dataset. The analysis of the derived multi-year TSM monthly maps showed the influence of hydrological factors on the TSM seasonal dynamics over two sub-regions of the lake, the west and east areas. The western side is more influenced by inflowing rivers and water level fluctuations, the effects of which tend to longitudinally decrease, leading to less sediment within the eastern sub-area. The achieved results can be exploited by regional authorities for better management of inland water quality and monitoring systems.

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“…It was applied to a collection of MODIS data that covered the Niger Delta in Nigeria, a significant global hotspot for flaring activity, and covered the period 2000 to 2014 . RST-FLARE algorithm is a powerful algorithm that presents acceptable information about gas flaring locations and gas volume using MODIS/VIIRS images in time series (Faruolo et al, 2018(Faruolo et al, , 2020. In this research, we assumed that the air pollutant of the TROPOMI/Sentinel 5p will have the most significant role in estimating the volume of gas flaring.…”

Section: Discussionmentioning

confidence: 99%

A New Perspective on Estimation of Gas Flaring Volume From Space: OLI/TIRS, VIIRS, and TROPOMI

Asadi‐Fard,

Falahatkar,

Tanha Ziarati

et al. 2024

JGR Atmospheres

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Gas flaring (GF) has the negative impact on the environment, climate, and human health. So, regular monitoring of flares and quantification of their volume is necessary. Iran has many natural oil/gas processing plants and petrochemical companies which are concentrated in the southern region. Pars Special Economic Energy Zone (PSEEZ) is an industry part with different kinds of active flares, thus a significant potential source of environmental impacts due to gas flaring. Remotely sensed data are used in gas‐flaring detection, volume estimation, and pollution emission. In this study, we applied day/nighttime radiation and air pollutant data to estimate gas flaring volumes. We developed artificial neural network models (ANN) for finding the relationship between the field measurement of GF volume as the dependent variable and shortwave infrared and thermal infrared bands of Landsat 8, M10 band of Visible Infrared Imaging Radiometer Suite, and air pollutant (NO2, CO, O3, and SO2) of TROPOMI as independent variables. Results showed that R2 values were 0.73 for the ANN model from 2018 to 2019. The sensitivity analysis demonstrated that the thermal infrared bands of B10 and B11 of Landsat 8 had the most important role in the estimation of gas flaring volume. In contrast, the SWIR bands of Landsat 8 and all TROPOMI products were insignificant. The findings of this research help to shed light on the use of remotely sensed data in estimating the volume of gas flaring at the regional/global scale by integration of the ANN model.

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The VIIRS-Based RST-FLARE Configuration: The Val d’Agri Oil Center Gas Flaring Investigation in Between 2015–2019

Cited by 10 publications

References 38 publications

A Google Earth Engine Tool to Investigate, Map and Monitor Volcanic Thermal Anomalies at Global Scale by Means of Mid-High Spatial Resolution Satellite Data

A Google Earth Engine Tool to Investigate, Map and Monitor Volcanic Thermal Anomalies at Global Scale by Means of Mid-High Spatial Resolution Satellite Data

Modeling and Multi-Temporal Characterization of Total Suspended Matter by the Combined Use of Sentinel 2-MSI and Landsat 8-OLI Data: The Pertusillo Lake Case Study (Italy)

A New Perspective on Estimation of Gas Flaring Volume From Space: OLI/TIRS, VIIRS, and TROPOMI

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