Forest Region Extraction and Evaluation from Satellite Images using CNN Segmentation

The segmentation and analysis of forests from satellite images play a vital role in the comprehensive monitoring and effective management of ecosystems. This process facilitates precise evaluations of various critical aspects such as forest cover, biodiversity, and overall health. By connecting this information, resource planning becomes more informed and strategic, contributing to sustainable forest management practices. Moreover, the data derived from satellite imagery aids in identifying areas susceptible to deforestation, allowing for timely intervention to mitigate its adverse environmental impacts. The integration of advanced satellite technologies in forest analysis enhances the ability to address contemporary environmental challenges, providing a foundation for policies and practices that promote ecological resilience and the long-term well-being of our planet. In this work, VGG-UNet is implemented to segment the forest and it achieved an accuracy of >94%, which is better compared to other existing methods in the literature.