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Remote Sens. 2017, 9(6), 517; doi:10.3390/rs9060517

Plume Segmentation from UV Camera Images for SO2 Emission Rate Quantification on Cloud Days

1
Instituto de Física, Facultad de Ingeniería, Universidad de la República, J. Herrera y Reissig 565, Montevideo 11200, Uruguay
2
Instituto de Ingeniería Eléctrica, Facultad de Ingeniería, Universidad de la República, J. Herrera y Reissig 565, Montevideo 11200, Uruguay
*
Author to whom correspondence should be addressed.
Academic Editors: Yang Liu, Jun Wang, Omar Torres, Xiaofeng Li and Prasad S. Thenkabail
Received: 27 March 2017 / Revised: 7 May 2017 / Accepted: 21 May 2017 / Published: 24 May 2017
(This article belongs to the Special Issue Remote Sensing of Atmospheric Pollution)
View Full-Text   |   Download PDF [11274 KB, uploaded 24 May 2017]   |  

Abstract

We performed measurements of SO2 emissions with a high UV sensitive dual-camera optical system. Generally, in order to retrieve the two-dimensional SO2 emission rates of a source, e.g., the slant column density of a plume emitted by a stack, one needs to acquire four images with UV cameras: two images including the emitting stack at wavelengths with high and negligible absorption features (λon/off), and two additional images of the background intensity behind the plume, at the same wavelengths as before. However, the true background intensity behind a plume is impossible to obtain from a remote measurement site at rest, and thus, one needs to find a way to approximate the background intensity. Some authors have presented methods to estimate the background behind the plume from two emission images. However, those works are restricted to dealing with clear sky, or almost homogeneously illuminated days. The purpose of this work is to present a new approach using background images constructed from emission images by an automatic plume segmentation and interpolation procedure, in order to estimate the light intensity behind the plume. We compare the performance of the proposed approach with the four images method, which uses, as background, sky images acquired at a different viewing direction. The first step of the proposed approach involves the segmentation of the SO2 plume from the background. In clear sky days, we found similar results from both methods. However, when the illumination of the sky is non homogeneous, e.g., due to lateral sun illumination or clouds, there are appreciable differences between the results obtained by both methods. We present results obtained in a series of measurements of SO2 emissions performed on a cloudy day from a stack of an oil refinery in Montevideo City, Uruguay. The results obtained with the UV cameras were compared with scanning DOAS measurements, yielding a good agreement. View Full-Text
Keywords: UV cameras; SO2 emissions rates; DOAS; plume segmentation UV cameras; SO2 emissions rates; DOAS; plume segmentation
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Osorio, M.; Casaballe, N.; Belsterli, G.; Barreto, M.; Gómez, Á.; Ferrari, J.A.; Frins, E. Plume Segmentation from UV Camera Images for SO2 Emission Rate Quantification on Cloud Days. Remote Sens. 2017, 9, 517.

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