Preprints
https://doi.org/10.5194/egusphere-2026-2893
https://doi.org/10.5194/egusphere-2026-2893
16 Jun 2026
 | 16 Jun 2026
Status: this preprint is open for discussion and under review for Atmospheric Measurement Techniques (AMT).

Facility-scale quantification and monitoring of ammonia (NH3) emissions using ASTER multispectral thermal infrared observations

Lidewij Beatrijs Tijhuis, Tyler Wizenberg, and Enrico Dammers

Abstract. Ammonia (NH3) is an important atmospheric pollutant affecting air quality, ecosystems, and climate, but current satellite observations remain limited in their ability to resolve individual emission sources. Hyperspectral thermal infrared sounders such as the Infrared Atmospheric Sounding Interferometer (IASI) and the Cross-track Infrared Sounder (CrIS) provide broad spatial coverage and high spectral sensitivity, but their kilometer‑scale footprints limit direct facility‑scale source attribution. Here, we investigate whether high‑spatial‑resolution multispectral thermal infrared imaging can detect NH3 plumes at facility scale.

We develop a physically based retrieval framework for the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), combining radiative transfer calculations with lookup table inversion. The method exploits the differential sensitivity of ASTER bands 13 and 14 to NH3 absorption in the ν2 band near 930–970 cm⁻¹ and retrieves NH3 column enhancements at 90 m spatial resolution. Surface emissivity is taken from a long‑term ASTER emissivity climatology, while scene‑level emissivity products are used diagnostically to identify plume‑related band behavior. Sensitivity tests show that NH3 absorption remains measurable after convolution with the ASTER spectral response functions, but retrieval performance depends strongly on thermal contrast between the surface and the NH3‑bearing layer.

The retrieval is applied to ASTER observations over three industrial NH3 point sources: Khor Al Zubair, Tolyatti, and Piesteritz. Khor Al Zubair provides the clearest demonstration, with repeated source‑connected plume structures under favorable arid conditions. Tolyatti and Piesteritz show that detection is also possible in more heterogeneous environments, although only under suitable thermal contrast and surface conditions. Source‑rate estimates derived with the Integrated Mass Enhancement method are interpreted as instantaneous effective estimates for successful plume scenes, not as annual mean emissions or continuous facility‑average emissions. Where independent constraints are available, ASTER‑derived source‑rate statistics are consistent in magnitude with published satellite and airborne estimates.

These results demonstrate that multispectral thermal infrared imagers can provide high‑resolution information on NH3 plume structure and source location, complementing coarse‑resolution hyperspectral satellite observations. The approach is best suited for large, persistent sources and episodic plume mapping rather than routine monitoring, because ASTER sampling is limited by revisit frequency, cloud cover, and thermal contrast. The framework supports retrospective analysis of archival ASTER scenes and informs future high‑resolution thermal infrared imaging concepts for NH3 point‑source detection.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.
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Lidewij Beatrijs Tijhuis, Tyler Wizenberg, and Enrico Dammers

Status: open (until 22 Jul 2026)

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Lidewij Beatrijs Tijhuis, Tyler Wizenberg, and Enrico Dammers
Lidewij Beatrijs Tijhuis, Tyler Wizenberg, and Enrico Dammers
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Short summary
Ammonia is an air pollutant that affects human health, ecosystems, and climate, but satellite measurements usually cannot identify emissions from individual facilities. We show that high‑resolution thermal infrared images can detect ammonia plumes at a much finer scale than existing satellites. This enables clearer identification of industrial sources and provides new opportunities for improved emission estimates and the design of future satellite missions.
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