Advancements in PRISMA Hyperspectral Imaging: From Deforestation Detection to Methane Estimation

This collection highlights the cutting-edge applications of PRISMA hyperspectral data for environmental and agricultural monitoring. The studies focus on PRISMA's ability to detect deforestation in the Amazon, estimate methane columns, quantify non-photosynthetic vegetation, and improve forest cover classification using machine learning. These advancements demonstrate the unique potential of PRISMA for enhancing land management and ecological monitoring, offering researchers, remote sensing professionals, and students valuable tools for tackling environmental challenges.