Integrating Hyperspectral and Multispectral Data for Advanced Monitoring and Analysis of Vegetation and Geology

This collection of studies focuses on the innovative applications of hyperspectral remote sensing in detecting environmental changes, monitoring plant invasions, assessing crop health, and estimating biodiversity. The research introduces new techniques such as sequential spectral change vector analysis and multi-temporal unmixing, along with the integration of DESIS with multispectral data for geological analysis and plant biodiversity estimation. These studies offer valuable insights for researchers, remote sensing professionals, and students, providing advanced methodologies for monitoring ecological changes, crop health, and biodiversity in diverse landscapes.