Global gas flaring activity from the ATSR (1991-2012) and SLSTR (2017-2018) sensors
This dataset contains Global gas flaring activity from the Along Track Scanning Radiometer (ATSR) (1991-2012) and Sea and Land Surface Temperature Radiometer (SLSTR) (2017-2018) sensors. The data records have been processed to identify persistent thermal anomalies with spectral characteristics consistent with the combustion of natural gas during industrial gas flaring activities.
Two different datasets are produced globally for each sensor type, one recording the activity and the other the sampling of these assumed gas flaring sites.
The activity dataset records whenever a flare is up, i.e. is actively combusting, and provides a characterisation of the flares behaviour in terms of radiant heat output (in W). The determination of radiant heat output is achieved using the single channel SWIR radiance method of Fisher and Wooster (2018), based on the MWIR radiance method used extensively in the analysis of biomass burning.
The sampling dataset records whenever a flaring site is seen by the satellite (irrespective of whether it is up or not) and also provides information on typical levels of cloud cover in the vicinity of the flare.
The activity dataset contains information on the point location of the flare (accurate to within approximately ±1km) in the form of a lat/lon coordinate. Also provided is an index lookup that can be used to simply aggregate the flaring activity into arc-minute bins and these are referred to as lat_arcmin and lon_arcmin in the dataset.
The sampling dataset is provided at the spatial level of the arc-minute binning only, and when merged onto the activity dataset long-term assessment of a flaring site can be performed. Such estimates of flaring activity over extended time periods for a given flaring site can be made by calculating the flare up-time (times seen actively flaring over time period or the expected number of cloud free overpasses for time period) and the mean radiant heat output of the flare for the same time period. The product of time period (in seconds), the estimated flare up-time and the mean radiant heat output provides an estimate of typical flare activity.
Default
Identification info
- Metadata Language
- English (en)
- Dataset Reference Date ()
- 2019-08-05T11:02:26
- Dataset Reference Date ()
- 2019-08-05T11:02:26
- Identifier
- Centre for Environmental Data Analysis (CEDA) / d459cadad5f342e5a673463dce2a9b4e
- Identifier
- doi / http://dx.doi.org/10.5285/d459cadad5f342e5a673463dce2a9b4e
- Maintenance and update frequency
- notPlanned
- Update scope
- dataset
- Keywords
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- Global gas
- ATSR
- SLSTR
- GEMET - INSPIRE themes, version 1.0 ()
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- orthoimagery
- Limitations on Public Access
- otherRestrictions
- Other constraints
- Access to these data is available to any registered CEDA user. Please Login or Register for an account to gain access.
- Use constraints
- otherRestrictions
- Spatial representation type
- grid
- Topic category
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- Imagery base maps earth cover
- Begin date
- 1991-07-31T23:00:00
- End date
- 2018-05-08T22:59:59
- Code
- WGS 84
Distribution Information
- Data format
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Data are BADC-CSV formatted.
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Data are BADC-CSV formatted.
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- Resource Locator
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CEDA Data Catalogue Page
Detail and access information for the resource
- Resource Locator
-
DOWNLOAD
Download Data
- Resource Locator
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Fisher, D. and Wooster, M.J., 2019. Multi-decade global gas flaring change inventoried using the ATSR-1, ATSR-2, AATSR and SLSTR data records
No further details.
- Resource Locator
-
CEDA Data Catalogue Page
Detail and access information for the resource
- Resource Locator
-
DOWNLOAD
Download Data
- Resource Locator
-
Fisher, D. and Wooster, M.J., 2019. Multi-decade global gas flaring change inventoried using the ATSR-1, ATSR-2, AATSR and SLSTR data records
No further details.
- Quality Scope
- dataset
Report
- Dataset Reference Date ()
- 2010-12-08
- Statement
- This dataset was produced as part of research into further applications of the MWIR Radiance method for the characterisation of thermal anomalies carried out under NERC NCEO funding. The data were then sent to the Centre for Environmental Analysis for archiving.
Metadata
- File identifier
- d459cadad5f342e5a673463dce2a9b4e XML
- Metadata Language
- English (en)
- Character set
- 8-bit variable size UCS Transfer Format, based on ISO/IEC 10646
- Resource type
- dataset
- Metadata Date
- 2024-04-08T23:34:59
- Metadata standard name
- UK GEMINI
- Metadata standard version
- 2.3