Spatial evaluation of methane emissions in the communities of Warints and Yawi, Ecuador
نویسندگان
1 Escuela Superior Politècnica de Chimborazo (ESPOCH), Macas, Ecuador
2 Escuela Superior Politècnica de Chimborazo (ESPOCH), Macas, Ecuador
3 Tashkent State University of Economics, Tashkent, Uzbekistan
4 Namangan Engineering-Construction Institute, Namangan, Uzbekistan
5 Tashkent National Research University Institute of Irrigation and Agricultural Mechanization Engineers, Tashkent Uzbekistan, & Senior lecturer of the Tashkent University of Architecture and Civil Engineering, Tashkent, Uzbekistan, & Western Caspian University, Scientific researcher, Baku, Azerbaijan
6 Escuela Superior Politècnica de Chimborazo (ESPOCH), Macas, Ecuador
7 Escuela Superior Politècnica de Chimborazo (ESPOCH), Macas, Ecuador
8 Independent Researcher, Macas, Ecuador
9 DSc in Economics, Professor, International School of Finance and Technology, Tashkent, Uzbekistan & Alfraganus University, Tashkent, Uzbekistan
10 Termez State University, Termez, Uzbekistan
doi
10.22124/cjes.2025.8366چکیده
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.
