Exploring Hyperspectral Data for Vegetation and Resource Mapping: New and Old Generation Technologies in Action

This collection of studies explores the diverse applications of hyperspectral remote sensing in vegetation management, resource mapping, and agricultural monitoring. Topics include vegetation management by Catchment Management Authorities using Hyperion imagery, uranium mapping, leaf nitrogen assessment, and comparisons of new-generation hyperspectral sensors like ISS DESIS with traditional multispectral data. The research introduces advanced techniques for hyperspectral pansharpening and component substitution, offering valuable insights and methodologies for researchers, remote sensing professionals, and students in environmental management, resource exploration, and precision agriculture.

本研究合集探讨了高光谱遥感（hyperspectral remote sensing）在植被管理、资源制图与农业监测中的多元化应用场景。研究主题涵盖流域管理机构借助Hyperion影像开展的植被管理、铀资源制图、叶片氮含量评估，以及新一代高光谱传感器（如ISS DESIS）与传统多光谱数据的对比分析。本研究还介绍了高光谱全色锐化与分量替换等先进技术，可为环境管理、资源勘探与精准农业领域的科研人员、遥感从业者及学生提供极具价值的研究见解与方法论支撑。