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Reference: APAAME_20221121_RHB-0473
Photographer: Robert Bewley
Credit: APAAME
Copyright: Creative Commons Attribution-Noncommercial-NoDerivative Works
Reference: APAAME_20221106_FB-0009
Photographer: Firas Bqa'in
Credit: APAAME
Copyright: Creative Commons Attribution-Noncommercial-NoDerivative Works
Reference: APAAME_20241119_RHB-0323
Photographer: Robert Bewley
Credit: APAAME
Copyright: Creative Commons Attribution-Noncommercial-NoDerivative Works
Reference: APAAME_20221123_RHB-0065
Photographer: Robert Bewley
Credit: APAAME
Copyright: Creative Commons Attribution-Noncommercial-NoDerivative Works
Reference: APAAME_20221106_SAlK-0009
Photographer: Sufyan Al Karaimeh
Credit: APAAME
Copyright: Creative Commons Attribution-Noncommercial-NoDerivative Works
Reference: APAAME_20241119_FB-0520
Photographer: Firas Bqa'in
Credit: APAAME
Copyright: Creative Commons Attribution-Noncommercial-NoDerivative Works
Decoding deforestation: Identifying risk factors & predicting trends in the Brazilian Amazon
Supervisor: Dr. Cheryl Rogers
Theme: Environmental Geography
Location: Brazil
In response to escalating human intervention on Earth's surface, particularly driven by population growth, the poster delves into the pressing issue of Land Use and Land Cover Change (LULCC). Focusing on the Amazon rainforest, a vital global ecosystem, it highlights the alarming rate of deforestation driven mainly by cattle ranching and infrastructure expansion, with Brazil notably responsible for a significant portion of this loss. The research aims to quantify deforestation rates, identify key historical predictors of forest loss, and develop a predictive model for future land use changes, offering recommendations to mitigate the ecological impact.
Through comprehensive data acquisition and analysis, including satellite imagery and anthropogenic data, the study seeks to understand the complex interplay of environmental and human factors driving deforestation. By leveraging advanced methodologies such as Random Forest predictive modeling, the research aims to provide actionable insights for policymakers and conservationists to formulate effective strategies for preserving the Amazon rainforest and its invaluable ecological services.
Reference: APAAME_20240305_FB-0007
Photographer: Firas Bqa'in
Credit: APAAME
Copyright: Creative Commons Attribution-Noncommercial-NoDerivative Works
Reference: APAAME_20241119_RHB-0307
Photographer: Robert Bewley
Credit: APAAME
Copyright: Creative Commons Attribution-Noncommercial-NoDerivative Works