Integration of PRISMA hyperspectral satellite data with ground based geological investigation for mapping alteration minerals associated with the Neem-ka-Thana Cu belt in Rajasthan, India
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引用次数: 0
Abstract
Hydrothermal deposits are commonly associated with specific alteration minerals that serve as key indicators for mineral exploration. The Neem Ka Thana Cu Belt, situated southeast of the Khetri Cu deposit within the Alwar-Ajabgarh sub-basin of the North Delhi Fold Belt, is notable for its Bornite-rich Cu-S mineralization. Despite its geological significance, detailed spectral mapping to delineate the alteration minerals associated with base metal mineralization remained limited. This study addresses this gap by utilizing the “PRecursore IperSpettrale della Missione Applicativa” (PRISMA) hyperspectral sensor to detect and map alteration minerals associated with Cu-S mineralization.
To achieve this, we applied Relative Band Depth (RBD) indices on targeted spectral subsets of PRISMA data to identify Fe-oxides/hydroxides and Al-OH-bearing minerals. We detected key alteration minerals, including muscovite, illite, chlorite, montmorillonite and Fe-oxide and hydroxides such as goethite, hematite, and limonite, by targeting their diagnostic absorption features. The resulting spectral maps highlighting the spatial distribution of the targeted mineral groups were validated with field investigations and laboratory assessments. The study demonstrates that the integration of hyperspectral analysis with conventional geological techniques can help to understand the mineral distribution and associated alteration processes. The use of PRISMA hyperspectral data provides a powerful, non-invasive means for reconnaissance mapping of exposed lithologies, delivering targeted information that is crucial for optimizing subsequent field investigations and drilling operations. The present work highlights the potential of PRISMA data in advancing the methodologies of mineral exploration and lithological mapping, contributing valuable insights for the geoscientific community.
热液矿床通常与特定的蚀变矿物有关,这些蚀变矿物是找矿的关键指标。Neem Ka Thana铜带位于北德里褶皱带Alwar-Ajabgarh次盆地内的Khetri铜矿东南方,以其富含硼铁矿的铜s矿化而闻名。尽管具有重要的地质意义,但用于描绘与贱金属成矿有关的蚀变矿物的详细光谱填图仍然有限。本研究利用“precursour IperSpettrale della Missione Applicativa”(PRISMA)高光谱传感器来探测和绘制与铜- s矿化相关的蚀变矿物,从而解决了这一空白。为了实现这一目标,我们在PRISMA数据的目标光谱子集上应用了相对波段深度(RBD)指数,以识别铁氧化物/氢氧化物和含铝矿物。我们检测了关键的蚀变矿物,包括白云母、伊利石、绿泥石、蒙脱石、氧化铁和氢氧化物,如针铁矿、赤铁矿和褐铁矿,通过针对它们的诊断吸收特征。所得的光谱图突出了目标矿物群的空间分布,并通过实地调查和实验室评估进行了验证。研究表明,将高光谱分析与常规地质技术相结合,有助于了解矿物分布及其蚀变过程。PRISMA高光谱数据的使用为暴露岩性的侦察测绘提供了一种强大的非侵入性手段,为优化后续的现场调查和钻井作业提供了有针对性的信息。目前的工作突出了PRISMA数据在推进矿物勘探和岩性测绘方法方面的潜力,为地球科学界提供了宝贵的见解。
期刊介绍:
The journal ''Remote Sensing Applications: Society and Environment'' (RSASE) focuses on remote sensing studies that address specific topics with an emphasis on environmental and societal issues - regional / local studies with global significance. Subjects are encouraged to have an interdisciplinary approach and include, but are not limited by: " -Global and climate change studies addressing the impact of increasing concentrations of greenhouse gases, CO2 emission, carbon balance and carbon mitigation, energy system on social and environmental systems -Ecological and environmental issues including biodiversity, ecosystem dynamics, land degradation, atmospheric and water pollution, urban footprint, ecosystem management and natural hazards (e.g. earthquakes, typhoons, floods, landslides) -Natural resource studies including land-use in general, biomass estimation, forests, agricultural land, plantation, soils, coral reefs, wetland and water resources -Agriculture, food production systems and food security outcomes -Socio-economic issues including urban systems, urban growth, public health, epidemics, land-use transition and land use conflicts -Oceanography and coastal zone studies, including sea level rise projections, coastlines changes and the ocean-land interface -Regional challenges for remote sensing application techniques, monitoring and analysis, such as cloud screening and atmospheric correction for tropical regions -Interdisciplinary studies combining remote sensing, household survey data, field measurements and models to address environmental, societal and sustainability issues -Quantitative and qualitative analysis that documents the impact of using remote sensing studies in social, political, environmental or economic systems