Next Article in Journal
Physically Consistent Radar High-Resolution Range Profile Generation via Spectral-Aware Diffusion for Robust Automatic Target Recognition Under Data Scarcity
Previous Article in Journal
A Wavenumber Domain Consistent Imaging Method Based on High-Order Fourier Series Fitting Compensation for Optical/SAR Co-Aperture System
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

VIIRS Nightfire Super-Resolution Method for Multiyear Cataloging of Natural Gas Flaring Sites: 2012-2025

by
Mikhail Zhizhin
1,2,*,
Christopher D. Elvidge
1,
Tilottama Ghosh
1,
Gregory Gleason
1 and
Morgan Bazilian
1
1
Payne Institute for Public Policy, Colorado School of Mines, Golden, CO 80401, USA
2
Space Research Institute, Russian Academy of Science, Moscow 117997, Russia
*
Author to whom correspondence should be addressed.
Remote Sens. 2026, 18(2), 314; https://doi.org/10.3390/rs18020314 (registering DOI)
Submission received: 29 October 2025 / Revised: 26 December 2025 / Accepted: 5 January 2026 / Published: 16 January 2026
(This article belongs to the Section Environmental Remote Sensing)

Abstract

We present a new method for mapping global gas flaring using a multiyear spatio-temporal database of VIIRS Nightfire (VNF) nighttime infrared detections from the Suomi NPP, NOAA-20, and NOAA-21 satellites. The method is designed to resolve closely spaced industrial combustion sources and to produce a stable, physically meaningful flare catalog suitable for long-term monitoring and emissions analysis. The method combines adaptive spatial aggregation of high-temperature detections with a hierarchical clustering that super-resolves individual flare stacks within oil and gas fields. Post-processing yields physically consistent flare footprints and attraction regions, allowing separation of closely spaced sources. Flare clusters are assigned to operational categories (e.g., upstream, midstream, LNG) using prior catalogs combined with AI-assisted expert interpretation. In this step, a multimodal large language model (LLM) provides contextual classification suggestions based on geospatial information, high-resolution daytime imagery, and detection time-series summaries, while final attribution is performed and validated by domain experts. Compared with annual flare catalogs commonly used for national flaring estimates, the new catalog demonstrates substantially improved performance. It is more selective in the presence of intense atmospheric glow from large flares, identifies approximately twice as many active flares, and localizes individual stacks with ~50 m precision, resolving emitters separated by ~400–700 m. For the well-defined class of downstream flares at LNG export facilities, the catalog achieves complete detectability. These improvements support more accurate flare inventories, facility-level attribution, and policy-relevant assessments of gas flaring activity.
Keywords: gas flaring; multiyear flare catalog; VIIRS; upstream oil and gas; LNG; country-level totals; flare stack localization; super-resolution; Dirichlet-process Gaussian mixture; watershed superpixels gas flaring; multiyear flare catalog; VIIRS; upstream oil and gas; LNG; country-level totals; flare stack localization; super-resolution; Dirichlet-process Gaussian mixture; watershed superpixels

Share and Cite

MDPI and ACS Style

Zhizhin, M.; Elvidge, C.D.; Ghosh, T.; Gleason, G.; Bazilian, M. VIIRS Nightfire Super-Resolution Method for Multiyear Cataloging of Natural Gas Flaring Sites: 2012-2025. Remote Sens. 2026, 18, 314. https://doi.org/10.3390/rs18020314

AMA Style

Zhizhin M, Elvidge CD, Ghosh T, Gleason G, Bazilian M. VIIRS Nightfire Super-Resolution Method for Multiyear Cataloging of Natural Gas Flaring Sites: 2012-2025. Remote Sensing. 2026; 18(2):314. https://doi.org/10.3390/rs18020314

Chicago/Turabian Style

Zhizhin, Mikhail, Christopher D. Elvidge, Tilottama Ghosh, Gregory Gleason, and Morgan Bazilian. 2026. "VIIRS Nightfire Super-Resolution Method for Multiyear Cataloging of Natural Gas Flaring Sites: 2012-2025" Remote Sensing 18, no. 2: 314. https://doi.org/10.3390/rs18020314

APA Style

Zhizhin, M., Elvidge, C. D., Ghosh, T., Gleason, G., & Bazilian, M. (2026). VIIRS Nightfire Super-Resolution Method for Multiyear Cataloging of Natural Gas Flaring Sites: 2012-2025. Remote Sensing, 18(2), 314. https://doi.org/10.3390/rs18020314

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Article metric data becomes available approximately 24 hours after publication online.
Back to TopTop