Sentinel 2

Sentinel-2 is a multispectral satellite imaging mission providing freely accessible data for Earth observation, primarily focused on improving the accuracy and efficiency of land and water analysis. Current research emphasizes enhancing image resolution using deep learning techniques, particularly convolutional neural networks (CNNs) and generative adversarial networks (GANs), as well as improving segmentation and classification accuracy through multi-temporal data fusion and advanced architectures like Swin Transformers. These advancements have significant implications for various applications, including wildfire detection, water quality monitoring, and precise mapping of land cover changes, contributing to improved environmental monitoring and resource management.