Estimation of carbon dioxide (CO₂) emissions from Land Use Land Cover changes using remote sensing data. A case of Mbarara district in Uganda.
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1
Food and Agriculture Organization of the United Nations (Uganda), Uganda
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2
Makerere University, Uganda
To explore the impact of human activities on the global carbon cycle, carbon emission has become one of the major concerns in academic circles. Land Use Land Cover change directly influences the carbon storage and emissions and it has been one of the main factors that cause the rapid growth of CO₂ concentration in the atmosphere leading to climate change. The purpose of the study was to estimate the amount of CO₂ emissions due to Land Use Land Cover changes from 2002 to 2017. Using random forest classifier, Land Cover maps for 2002 and 2017 were produced and land cover change data generated by using a change detection matrix. CO₂ emissions were estimated using Agriculture and Land Use software and emission computations were based on Tier 2 emission factors, and biomass carbon gain – loss method. From 2002 to 2017, Mbarara lost 52,991 and 6,969 hectares of woodland forest and farmland areas respectively, however, plantation forests, grassland, and settlement areas gained by 27,805, 31,478, and 1099 hectares respectively. Area of land cover changes yielded 63,488 Tonnes/15years of net CO₂ emissions to the atmosphere. Human activities are highly associated with carbon CO₂ emissions with farmland’s 157,727 Tonnes/15years CO₂ emissions highest contributor to the net emissions. Therefore, the study definitively establishes the influence of Land Use Land Cover changes on the carbon cycle by directly linking land cover change areas derived from remote sensing data to respective estimates of CO₂ emissions.
Keywords:
remote sensing,
Carbon dioxide emissions,
Land use land cover change (LULCC),
Land use land cover (LULC) classification,
Green House Gases (GHG)
Conference:
GeoVet 2019. Novel spatio-temporal approaches in the era of Big Data, Davis, United States, 8 Oct - 10 Oct, 2019.
Presentation Type:
Student Poster-session
Topic:
Spatial methods for environmental & exposure epidemiology and climate change
Citation:
Uwizeye
F and
Kayondo
LM
(2019). Estimation of carbon dioxide (CO₂) emissions from Land Use Land Cover changes using remote sensing data. A case of Mbarara district in Uganda..
Front. Vet. Sci.
Conference Abstract:
GeoVet 2019. Novel spatio-temporal approaches in the era of Big Data.
doi: 10.3389/conf.fvets.2019.05.00043
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Received:
28 Aug 2019;
Published Online:
27 Sep 2019.
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Correspondence:
Mr. Fidel Uwizeye, Food and Agriculture Organization of the United Nations (Uganda), Kampala, Uganda, fideluwizeye@gmail.com