Intercomparison of MODIS and VIIRS Fire Products in Khanty-Mansiysk Russia: Implications for Characterizing Gas Flaring from Space

Gas flaring is commonly used by industrial plants for processing oil and natural gases in the atmosphere, and hence is an important anthropogenic source for various pollutants including CO2, CO, and aerosols. This study evaluates the feasibility of using satellite data to characterize gas flaring from space by focusing on the Khanty-Mansiysk Autonomous Okrug in Russia, a region that is well known for its dominant gas flaring activities. Multiple satellite-based thermal anomaly data products at night are intercompared and analyzed, including MODIS (Moderate Resolution Imaging Spectroradiometer) Terra level 2 Thermal Anomalies product (MOD14), MODIS Aqua level 2 Thermal Anomalies product (MYD14), VIIRS (Visible Infrared Imaging Radiometer Suite) Active Fires Applications Related Product (VAFP), and VIIRS level 2 Nightfire product (VNF). The analysis compares and contrasts the efficacy of these sensor products in detecting small, hot sources like flares on the ground in extremely cold environments such as Russia. We found that the VNF algorithm recently launched by the National Oceanic and Atmospheric Administration (NOAA) has the unprecedented accuracy and efficiency in characterizing gas flares in the region owing primarily to the use of Shortwave Infrared (SWIR) bands. Reconciliation of VNF’s differences and similarities with other nighttime fire products is also conducted, indicating that MOD14/MYD14 and VAFP data are only effective in detecting those gas flaring pixels that are among the hottest in the region; incorporation of shortwave infrared (1.6 µm) band used in VNF may improve the detection of relatively cooler gas flares. The gas flaring locations from the VNF product are validated using Google Earth images. It is shown that VNF’s estimates of the area of gas flaring agree well with the Google image counterparts with a linear correlation of 0.91, highlighting its potential use for routinely monitoring emissions of gas flaring from space.

[1]  T. Croft,et al.  Burning Waste Gas in Oil Fields , 1973, Nature.

[2]  T. Croft Nighttime Images of the Earth from Space , 1978 .

[3]  J. Dozier A method for satellite identification of surface temperature fields of subpixel resolution , 1981 .

[4]  Arthur P. Cracknell,et al.  Identification of gas flares in the North Sea using satellite data , 1984 .

[5]  Louis Giglio,et al.  Application of the Dozier retrieval to wildfire characterization: a sensitivity analysis , 2001 .

[6]  C. Elvidge,et al.  Night-time lights of the world: 1994–1995 , 2001 .

[7]  C. O. Justicea,et al.  The MODIS fire products , 2002 .

[8]  Yoram J. Kaufman,et al.  An Enhanced Contextual Fire Detection Algorithm for MODIS , 2003 .

[9]  Christopher C. Schmidt,et al.  Fire detection using GOES rapid scan imagery , 2004 .

[10]  J. Morisette Validation of MODIS Active Fire Detection Products Derived from Two Algorithms , 2005 .

[11]  Y. Kaufman,et al.  Retrieval of biomass combustion rates and totals from fire radiative power observations: FRP derivation and calibration relationships between biomass consumption and fire radiative energy release , 2005 .

[12]  Yoram J. Kaufman,et al.  A method to derive smoke emission rates from MODIS fire radiative energy measurements , 2005, IEEE Transactions on Geoscience and Remote Sensing.

[13]  Jeffrey T. Morisette,et al.  Validation of active fire detection from moderate-resolution satellite sensors: the MODIS example in northern eurasia , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[14]  R. Nemani,et al.  Global Distribution and Density of Constructed Impervious Surfaces , 2007, Sensors.

[15]  Bruno Gervet Gas Flaring Emission Contributes to Global Warming , 2007 .

[16]  D. Morton,et al.  Validation of GOES and MODIS active fire detection products using ASTER and ETM+ data , 2008 .

[17]  Mikhail Zhizhin,et al.  A Fifteen Year Record of Global Natural Gas Flaring Derived from Satellite Data , 2009 .

[18]  R. Cohen,et al.  Characterization of wildfire NO x emissions using MODIS fire radiative power and OMI tropospheric NO 2 columns , 2011 .

[19]  Stephen C. Nwanya Climate change and energy implications of gas flaring for Nigeria , 2011 .

[20]  O. Arino,et al.  Global night-time fire season timing and fire count trends using the ATSR instrument series , 2012 .

[21]  Olivier Arino,et al.  Use of ATSR and SAR measurements for the monitoring and characterisation of night-time gas flaring from off-shore platforms: The North Sea test case , 2012 .

[22]  O. Arino,et al.  Gas flaring monitoring from space using the ATSR instrument series , 2012 .

[23]  O. S. Ismail,et al.  Global Impact of Gas Flaring , 2012 .

[24]  Hartmut Boesch,et al.  First satellite measurements of carbon dioxide and methane emission ratios in wildfire plumes , 2013 .

[25]  Christopher D. Elvidge,et al.  VIIRS Nightfire: Satellite Pyrometry at Night , 2013, Remote. Sens..

[26]  Jun Wang,et al.  A sub-pixel-based calculation of fire radiative power from MODIS observations: 2. Sensitivity analysis and potential fire weather application , 2013 .

[27]  Jun Wang,et al.  A sub-pixel-based calculation of fire radiative power from MODIS observations: 1 Algorithm development and initial assessment , 2013 .

[28]  J. D. Whyatt,et al.  Satellite survey of gas flares: development and application of a Landsat-based technique in the Niger Delta , 2014 .

[29]  C. Justice,et al.  Active fires from the Suomi NPP Visible Infrared Imaging Radiometer Suite: Product status and first evaluation results , 2014 .

[30]  Jun Wang,et al.  First Global Analysis of Saturation Artifacts in the VIIRS Infrared Channels and the Effects of Sample Aggregation , 2015, IEEE Geoscience and Remote Sensing Letters.