Harnessing Hyperspectral Data for Ecological and Agricultural Monitoring: A Focus on Hyperion

This collection highlights the use of hyperspectral and multispectral data, including Hyperion and Landsat, in environmental and agricultural applications. The studies cover diverse topics such as spectral unmixing for material classification, crop health assessment, chlorophyll content estimation, and multi-temporal classification techniques. These methodologies offer valuable insights for researchers, remote sensing professionals, and students in precision agriculture, environmental monitoring, and remote sensing. The papers present advanced techniques to enhance data analysis, offering practical tools for more accurate and efficient monitoring of crops and natural resources.