Airborne Mapping of Atmospheric Ammonia in a Mixed Discrete and Diffuse Emission Environment

Airborne longwave-infrared (LWIR) hyperspectral imagery acquisitions were coordinated with stationary and mobile ground-based in situ measurements of atmospheric ammonia in regions surrounding California’s Salton Sea, an area of commingled intensive animal husbandry and agriculture operations that is encumbered by exceptionally high levels of persistent ammonia and PM2.5 pollution. The goal of this study was to validate remotely sensed ammonia retrievals against ground truth measurements as part of a broader effort to elucidate the behavior of the atmospheric ammonia burden in this area of abundant diffuse and point sources. The nominal 2 m pixel size of the airborne data revealed variability in ammonia concentrations at a diversity of scales within the study area. At this pixel resolution, ammonia plumes emitted by individual facilities could be clearly discriminated and their dispersion characteristics inferred. Several factors, including thermal contrast and atmospheric boundary layer depth, contributed to the overall uncertainty of the intercomparison between airborne ammonia quantitative retrievals and the corresponding in situ measurements, for which agreement was in the 16–37% range under the most favorable conditions. Hence, while the findings attest to the viability of airborne LWIR spectral imaging for quantifying atmospheric ammonia concentrations, the accuracy of ground-level estimations depends significantly on precise knowledge of these atmospheric factors.

Authors

Institutions

Publication Details

Journal
Remote Sensing
Published
2024-12-30
DOI
https://doi.org/10.3390/rs17010095
Citations
5
Primary Topic
Atmospheric and Environmental Gas Dynamics
Type
article
Field-Weighted Citation Impact
1.41

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Airborne Mapping of Atmospheric Ammonia in a Mixed Discrete and Diffuse Emission Environment

M. Álvarez, О. В. Калашникова, William C. Porter, Kerry N. Buckland et al.
5 citations
Remote Sensing
Atmospheric and Environmental Gas Dynamics
1.41
article

Airborne Mapping of Atmospheric Ammonia in a Mixed Discrete and Diffuse Emission Environment

M. Álvarez, О. В. Калашникова, William C. Porter, Kerry N. Buckland, Mohammad H. Sowlat, Francesca M. Hopkins, David M. Tratt, M. J. Garay, Clement S. Chang, Payam Pakbin, Sina Hasheminassab, E. R. Keim, Yaning Miao
article en
5 citations

Abstract

Airborne longwave-infrared (LWIR) hyperspectral imagery acquisitions were coordinated with stationary and mobile ground-based in situ measurements of atmospheric ammonia in regions surrounding California’s Salton Sea, an area of commingled intensive animal husbandry and agriculture operations that is encumbered by exceptionally high levels of persistent ammonia and PM2.5 pollution. The goal of this study was to validate remotely sensed ammonia retrievals against ground truth measurements as part of a broader effort to elucidate the behavior of the atmospheric ammonia burden in this area of abundant diffuse and point sources. The nominal 2 m pixel size of the airborne data revealed variability in ammonia concentrations at a diversity of scales within the study area. At this pixel resolution, ammonia plumes emitted by individual facilities could be clearly discriminated and their dispersion characteristics inferred. Several factors, including thermal contrast and atmospheric boundary layer depth, contributed to the overall uncertainty of the intercomparison between airborne ammonia quantitative retrievals and the corresponding in situ measurements, for which agreement was in the 16–37% range under the most favorable conditions. Hence, while the findings attest to the viability of airborne LWIR spectral imaging for quantifying atmospheric ammonia concentrations, the accuracy of ground-level estimations depends significantly on precise knowledge of these atmospheric factors.

Remote SensingVol. 17(1)
University of California, Riverside (US), Bay Area Air Quality Management District (US), Jet Propulsion Laboratory (US), The Aerospace Corporation (US)
National Aeronautics and Space Administration, California Institute of Technology, Jet Propulsion Laboratory
Openalex Percentile: Top 18%
Atmospheric and Environmental Gas Dynamics
1.41
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.