Landsat 8

Landsat 8 is a long-running Earth observation satellite providing multispectral imagery crucial for various applications, primarily focused on monitoring land cover changes and environmental processes. Current research emphasizes leveraging Landsat 8 data, often in conjunction with other satellite imagery, within deep learning frameworks—including convolutional neural networks (CNNs), recurrent neural networks (RNNs like LSTMs), and transformer models—to improve accuracy and efficiency in tasks such as deforestation detection, wildfire fuel mapping, and flood monitoring. These advancements enable more precise and timely analyses of environmental phenomena, supporting improved resource management, disaster response, and scientific understanding of Earth's dynamic systems.