Hyperspectral Sensing for Natural Resource Exploration and Global Agriculture: Insights from DESIS, PRISMA, and Hyperion

This collection of studies examines the diverse applications of hyperspectral remote sensing for natural resource exploration and agricultural monitoring. Topics include coal-bed methane exploration, oil and gas microseepage detection, and the comparison of new-generation hyperspectral sensors like DESIS and PRISMA with traditional multispectral data for global agriculture studies. The research presents advanced spectral techniques, such as Z-score distance for classification and endmember extraction from Hyperion, offering valuable tools for researchers, remote sensing professionals, and students.

本系列研究系统探讨了高光谱遥感（hyperspectral remote sensing）在自然资源勘探与农业监测领域的多元化应用。研究主题涵盖煤层气勘探、油气微渗漏检测，以及DESIS、PRISMA等新一代高光谱传感器与传统多光谱数据在全球农业研究中的对比分析。此外，本研究还提出了Z得分距离（Z-score distance）分类、从Hyperion数据中提取端元等先进光谱分析技术，可为科研人员、遥感行业从业者及学生提供极具实用价值的研究工具。