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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Detection of Methane Plumes Using Airborne Midwave Infrared (3-5 mu m) Hyperspectral Data

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Author(s):
Moreira Scafutto, Rebecca Del' Papa [1] ; de Souza Filho, Carlos Roberto [1]
Total Authors: 2
Affiliation:
[1] Univ Estadual Campinas, UNICAMP, Inst Geosci, POB 6152, BR-13083970 Campinas, SP - Brazil
Total Affiliations: 1
Document type: Journal article
Source: REMOTE SENSING; v. 10, n. 8 AUG 2018.
Web of Science Citations: 2
Abstract

Methane (CH4) display spectral features in several regions of the infrared range (0.75-14 mu m), which can be used for the remote mapping of emission sources through the detection of CH4 plumes from natural seeps and leaks. Applications of hyperspectral remote sensing techniques for the detection of CH4 in the near and shortwave infrared (NIR-SWIR: 0.75-3 mu m) and longwave infrared (LWIR: 7-14 mu m) have been demonstrated in the literature with multiple sensors and scenarios. However, the acquisition and processing of hyperspectral data in the midwave infrared (MWIR: 3-5 mu m) for this application is rather scarce. Here, a controlled field experiment was used to evaluate the potential for CH4 plume detection in the MWIR based on hyperspectral data acquired with the SEBASS airborne sensor. For comparison purposes, LWIR data were also acquired simultaneously with the same instrument. The experiment included surface and undersurface emission sources (ground stations), with flow rates ranging between 0.6-40 m(3)/h. The data collected in both ranges were sequentially processed using the same methodology. The CH4 plume was detected, variably, in both datasets. The gas plume was detected in all LWIR images acquired over nine gas leakage stations. In the MWIR range, the plume was detected in only four stations, wherein 18 m(3)/h was the lowest flux sensed. We demonstrate that the interference of target reflectance, the low contrast between plume and background and a low signal of the CH4 feature in the MWIR at ambient conditions possibly explain the inferior results observed for this range when compared to LWIR. Furthermore, we show that the acquisition time and weather conditions, including specific limits of temperature, humidity, and wind speed, proved critical for plume detection using daytime MWIR hyperspectral data. (AU)

FAPESP's process: 15/19842-7 - Evaluation of Hyperspectral Images in the Thermal Infrared for Detection and Characterization of Thermogenic Gas Seepages in Continental Areas
Grantee:Rebecca Del Papa Moreira Scafutto
Support Opportunities: Scholarships in Brazil - Post-Doctoral