Spatial evaluation of methane emissions in the communities of Warints and Yawi, Ecuador

Methane is a greenhouse gas that has caused environmental repercussions on the planet. At the national level, spatial data are unavailable, so this study aimed to estimate the amount of methane (CH4) emissions in the communities of Warints and Yawi through satellite images. The methodological process was non-experimental, with a descriptive–longitudinal design; 3 satellite images were taken from the OLI and TIRS 8 sensor from the virtual repository (USGS Earth Explorer), years 2013, 2016, and 2020; ArcGIS and ENVI were used during preprocessing and processing: Normalized Difference Vegetation Index (NDVI), emissivity, surface temperature, and methane emissions were determined through the empirical model based on temperatures. The results were the following: for 2013, 2016, and 2020, it was 1.74 × 10 -5; 1.01 × 10 -4 and 2.36 × 10 -4 megatons, respectively, with an annual emission rate of 45.11%. It is concluded that emissions are inversely proportional regarding community centers and bare soils. This model is recommended for estimating the annual methane budget in areas with high vegetative incidence at the local and regional levels.

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Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-01-01
DOI
https://doi.org/10.22124/cjes.2025.8366
Primary Topic
Public Health and Environmental Issues
Type
article
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article

Spatial evaluation of methane emissions in the communities of Warints and Yawi, Ecuador

SHILAP Revista de lepidopterología
Public Health and Environmental Issues
article

Spatial evaluation of methane emissions in the communities of Warints and Yawi, Ecuador

article en

Abstract

Methane is a greenhouse gas that has caused environmental repercussions on the planet. At the national level, spatial data are unavailable, so this study aimed to estimate the amount of methane (CH4) emissions in the communities of Warints and Yawi through satellite images. The methodological process was non-experimental, with a descriptive–longitudinal design; 3 satellite images were taken from the OLI and TIRS 8 sensor from the virtual repository (USGS Earth Explorer), years 2013, 2016, and 2020; ArcGIS and ENVI were used during preprocessing and processing: Normalized Difference Vegetation Index (NDVI), emissivity, surface temperature, and methane emissions were determined through the empirical model based on temperatures. The results were the following: for 2013, 2016, and 2020, it was 1.74 × 10 -5; 1.01 × 10 -4 and 2.36 × 10 -4 megatons, respectively, with an annual emission rate of 45.11%. It is concluded that emissions are inversely proportional regarding community centers and bare soils. This model is recommended for estimating the annual methane budget in areas with high vegetative incidence at the local and regional levels.

SHILAP Revista de lepidopterología
Tashkent Institute of Irrigation and Agricultural Mechanization Engineers (UZ), Escuela Superior Politécnica del Chimborazo (EC), Namangan Engineering Pedagogical Institute (UZ), Termez State University (UZ), Oldham Council (GB), Tashkent State University of Economics (UZ), Westminster International University in Tashkent (UZ)
Life in Land
Openalex Percentile: Top 49%
Public Health and Environmental Issues
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