Advancing Remote Sensing with PRISMA: From Forest Classification to Desert Mapping and Volcanic Emissions

This comparison examines diverse applications of PRISMA hyperspectral data, including forest classification, desert track mapping, crop type identification, volcanic emissions analysis, and cryosphere monitoring. Researchers gain insights into the effectiveness of machine learning algorithms and data fusion techniques across various domains. Students can learn about advanced remote sensing methods and their practical uses, while industry professionals can apply these findings to improve environmental monitoring and resource management.