Daytime gas flare detection using Landsat-8 multispectral data

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn , Issue , 2014, Pages 258-261

  Chowdhury, Subir ^a   Shipman, Todd ^a   Chao, Dennis ^a   Elvidge, Christopher D ^b   Zhizhin, Mikhail ^c   Hsu, Feng Chi ^c  

^a ALBERTA GEOLOGICAL SURVEY   (Canada)

^b NOAA EARTH SYSTEM RESEARCH LABORATORY   (United States)

^c UNIVERSITY OF COLORADO   (United States)

Author keywords

abundance estimation; endmember extraction; gas flares; oil and gas

Indexed keywords

ANTENNAS; EXTRACTION; GASES; THERMOGRAPHY (IMAGING);

ABUNDANCE ESTIMATION; ENDMEMBER EXTRACTION; ENDMEMBER EXTRACTION ALGORITHMS; GAS FLARES; MULTI-SPECTRAL DATA; OIL AND GAS; SEMI-AUTOMATED; VISIBLE INFRARED IMAGING RADIOMETER SUITES;

REMOTE SENSING;

EID: 84911449162     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2014.6946406     Document Type: Conference Paper

References (9)

1. Alberta Energy Regulator. ST60B-2013: Upstream Petroleum Industry Flaring and Venting Report, 2012, Oct. 2013.
2. C. D. Elvidge, M. Zhizhin, F-C. Hsu, and K. E. Baugh, "VIIRS Nightfire: Satellite Pyrometry at Night," Remote Sens. 5, no. 9, pp. 4423-4449, Sept. 2013.
3. F. A. Kruse, A. B. Lefkoff, J.W. Boardman, K. B. Heidebrecht, A. T. Shapiro, P. J. Barloon, and A. F. H. Goetz, "The spectral image processing system (SIPS) - interactive visualization and analysis of imaging spectrometer data," Remote Sens. of Environment, Vol. 44, no. 2-3, pp. 145-163, May-June 1993.
4. J. Gruninger, A. Ratkowski, and M. Hoke, "The Sequential Maximum Angle Convex Cone (SMACC) Endmember Model," in Proc. SPIE - Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery X, Vol. 5425, pp. 1-14, 2004.
5. J. R. Harris, P. Ponomarev, S. Shang, P. Budkewitsch, and D. Rogge, "A Comparison of Automatic and Supervised Methods for Extracting Lithological Endmdmbers from Hyperspectral Data: Application to Lithological Mapping in Southern Baffin Island, Nunavut," in Current Research, Part C, Geological Survey of Canada, Paper 2006-C4, pp 1-19, 2006.
6. J. Shang, R. Neville, K. Staenz, L. Sun, B. Morris, and P. Howarth, "Comparison of Fully Constrained and Weakly Constrained Unmixing through Mine-Tailing Composition Mapping," Canadian Journal of Remote Sensing, Vol. 34, no. S1, pp. S82-S91, 2008.
7. J. W. Boardman, "Leveraging the High Dimensionality of AVIRIS Data for Improved Subpixel Target Unmixing and Rejection of False Positives: Mixture Tuned Matched Filtering," in Proc. Summ. 7th Annu. JPL Airborne Geosci. Workshop, pp. 55-56, 1998.
8. J. W. Boardman, F. A. Kruse, and R. O. Green, "Mapping Target Signatures via Partial Unmixing of AVIRIS Data," in Summaries of JPL Airborne Earth Science Workshop, Pasadena, CA, pp. 23-26, 1995.
9. M. E. Winter, "N-FINDR: An Algorithm for Fast Autonomous Spectral End-member Determination in Hyperspectral Data," in Proc. SPIE Conf. Imaging Spectrom., Pasadena, CA, pp. 266-275, Oct. 1999.