Deforestation detection and oxygen impact analysis using satellite imagery

Le résumé fourni par la source

Deforestation continues to advance as a serious environmental problem that has double implications of loss of biodiversity and climate change effects and reduces oxygen in the air. Forest destruction causes ecological ecosystem decline as well as poor air quality problems that require reforestation efforts. Detection of deforestation areas and analysis of oxygen levels are challenged by the proposed work utilizing deep learning model techniques. U-Net and EfficientNet are deep learning algorithms for deforestation spot identification from satellite imagery. Oxygen level analysis outcomes inform the selection of the right plant species for refor-estation efforts. Content-based filtering methods offer restoration efforts and better reforestation tree recommendations to enhance their effectiveness.

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