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A new method for extraction of alteration information using the Landsat 8 imagery in a heavily vegetated and sediments‐covered region: A case study from Zhejiang Province, E. China
Author(s) -
Han Ling,
Zhao Bo,
Wu Jianjian,
Wu Tingting,
Feng Min
Publication year - 2018
Publication title -
geological journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.721
H-Index - 54
eISSN - 1099-1034
pISSN - 0072-1050
DOI - 10.1002/gj.2988
Subject(s) - geology , terrain , mineralization (soil science) , remote sensing , principal component analysis , geologic map , vegetation (pathology) , mining engineering , geochemistry , geomorphology , cartography , soil science , geography , soil water , medicine , pathology , artificial intelligence , computer science
Ore prediction based on the Operational Land Imager (ETM + ) image within the heavily vegetated and sediments‐covered areas is always a difficulty for geological remote sensing. Here, we report a new scheme for extraction of near‐ore alteration information in such localities: Terrain Analysis → principal component analysis →Fractal → Spatial Overlay and the Fe 3+ –OH − integrated anomalies that are punctate and probably ore‐caused were reasonably exposed. Findings showed a satisfactory result that the spatial, if not genetic, dependency relationship between the remotely sensed anomalies and geochemical anomalies, as well as the ore‐controlling geological bodies, is significant. However, no substantial spectral anomalies of vegetation immediately responsible for local mineralization and alteration were detected. This study may have contributed a useful case study for in‐depth remote sensing exploration.