Vegetation Layer

Vegetation layer analysis focuses on understanding the three-dimensional structure and dynamics of plant communities, aiming to improve predictions of ecosystem function and response to environmental change. Current research employs advanced deep learning architectures, such as Convolutional LSTMs and 3D convolutional neural networks, to process high-resolution data from sources like LiDAR and satellite imagery, enabling precise mapping of vegetation strata (e.g., understory, canopy) and forecasting of vegetation greenness. These advancements are crucial for applications ranging from precision agriculture and forest management to disaster risk reduction by providing detailed insights into vegetation health and its response to climate variability.