Abstract：
Hyperspectral imaging technology has been used for biochemical analysis of Earth\'s surface exploiting the spectral reflectance signatures of various materials. The new-generation Italian PRISMA (PRecursore IperSpettrale dellaMissione Applicativa) hyperspectral satellite launched by the Italian space agency (ASI) provides a unique opportunity to map various materials through spectral signature analysis for recourse management and sustainable development. In this study PRISMA hyperspectral satellite imagery-based multiple spectral indices were generated for rapid pollution assessment at Ghazipur and Okhla landfill sites in Delhi, India. It was found that the combined risk score for Okhla landfill site was higher than the Ghazipur landfill site. Various manmade materials identified, exploiting the hyperspectral imagery and spectral signature libraries, indicated presence of highly saline water, plastic (black, ABS, pipe, netting, etc.), asphalt tar, black tar paper, kerogen BK-Cornell, black paint and graphite, chalcocite minerals, etc. in large quantities in both the landfill sites. The methodology provides a rapid pollution assessment tool for municipal landfill sites.
摘要：
利用各种材料的光谱反射特征，高光谱成像技术已用于地球表面的生化分析。意大利航天局（ASI）发射的新一代意大利PRISMA（PRecursoreIperSpettraledellaMisissioneApplicativa）高光谱卫星提供了独特的机会，可以通过光谱特征分析绘制各种材料，以进行资源管理和可持续发展。在这项研究中，生成了基于PRISMA高光谱卫星图像的多个光谱指数，用于在德里的Ghazipur和Okhla垃圾填埋场进行快速污染评估，印度。发现Okhla垃圾填埋场的综合风险评分高于Ghazipur垃圾填埋场。确定了各种人造材料，利用高光谱图像和光谱特征库，表明存在高盐水，塑料(黑色,ABS,管道,网,等。),沥青焦油,黑色焦油纸，干酪根BK-康奈尔,黑色油漆和石墨，黄铜石矿物，等。在两个垃圾填埋场都有大量。该方法为市政垃圾填埋场提供了快速污染评估工具。
