ORIGINAL RESEARCH
Use of Satellite Images and the Split Window Algorithm to Detect Fugitive Methane in Tlalnepantla De Baz Landfill
 
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1
Facultad de Ingeniería, Universidad Nacional Autónoma de México, Ciudad Universitaria, Coyoacán, C.P. 04100, Ciudad de México, México
2
Instituto Nacional de Pesca y Acuacultura, SAGARPA, Av. México 190, Del Carmen, Coyoacán, C.P 04100, Ciudad de México, México
3
Instituto de Geofísica, Universidad Nacional Autónoma de México, Ciudad Universitaria, Coyoacán, C.P. 04100, Ciudad de México, México
4
Instituto de Ingeniería, Universidad Nacional Autónoma de México, Ciudad Universitaria, Coyoacán, C.P. 04100, Ciudad de México, México
CORRESPONDING AUTHOR
Griselda Berenice Hernández-Cruz   

Faculty of engineering, University National Autonomus of Mexico, University Av., 04510, Mexico City, Mexico
Submission date: 2022-03-02
Final revision date: 2022-05-25
Acceptance date: 2022-06-24
Online publication date: 2022-10-13
Publication date: 2022-12-08
 
Pol. J. Environ. Stud. 2022;31(6):5727–5737
 
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ABSTRACT
Worldwide, the increase in land surface temperature has been attributed to the concentration of greenhouse gases. However, there is no record of timely information that shows which types of land cover relate to major increases in surface temperature. The main aim of this paper is to identify the specific sites in a landfill where biogas is released into the atmosphere. A second objective is to try to find a spatial correlation between the concentration of methane emitted to the atmosphere with the observed surface temperature gradients. The recoverable and fugitive methane fluxes were validated with in situ information, using a LICOR gas accumulation chamber. The surface heat estimate was obtained from the Split Window algorithm, using the TIRS sensor of the Landsat 8. With data obtained in previous studies, both in situ and remote, it was possible to spatially correlate the methane flux released into the atmosphere with the temperature distribution plume within the landfill. The importance of our research is related to the continuous need for surface temperature monitoring on the planet. The use of technological tools such as the one presented here reduces the cost and execution time of environmental studies.
eISSN:2083-5906
ISSN:1230-1485