Fusion of surface relief data with high spectral and spatial resolution satellite remote sensor data for deciphering geological information in a mature topographic terrain

Chatterjee, R. S.; Prabakaran, B.; Jha, Vandana

doi:10.1080/0143116031000070472

Cited by 8 publications

(2 citation statements)

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“…Fraser et al, 1997;Mickus and Johnson, 2001;Chatterjee et al, 2003). Wiart et al (2000) mapped the extent of pumice deposits from a previous (1861) eruption of the Dubbi volcano, located in the northeastern part of the Afar triangle, Eritrea, using JERS 1 SAR and Landsat TM imagery.…”

Section: Lithologic Mappingmentioning

confidence: 99%

Application of remote sensing and GIS in mineral resource mapping-An overview

Rajesh

2004

Journal of Mineralogical and Petrological Sciences

110

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Remote sensing, as a direct adjunct to field, lithologic and structural mapping, and more recently, GIS have played an important role in the study of mineralized areas. A review on the application of remote sensing in mineral resource mapping is attempted here. It involves understanding the application of remote sensing in lithologic, structural and alteration mapping. Remote sensing becomes an important tool for locating mineral deposits, in its own right, when the primary and secondary processes of mineralization result in the formation of spectral anomalies. Reconnaissance lithologic mapping is usually the first step of mineral resource mapping. This is complimented with structural mapping, as mineral deposits usually occur along or adjacent to geologic structures, and alteration mapping, as mineral deposits are commonly associated with hydrothermal alteration of the surrounding rocks. In addition to these, understanding the use of hyperspectral remote sensing is crucial as hyperspectral data can help identify and thematically map regions of exploration interest by using the distinct absorption features of most minerals. Finally coming to the exploration stage, GIS forms the perfect tool in integrating and analyzing various georeferenced geoscience data in selecting the best sites of mineral deposits or rather good candidates for further exploration.

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Section: Lithologic Mappingmentioning

confidence: 99%

Application of remote sensing and GIS in mineral resource mapping-An overview

Rajesh

2004

Journal of Mineralogical and Petrological Sciences

110

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“…In the geological remote sensing community, image fusion methods are also widely used to produce an ideal dataset with high spatial resolution and the required spectral bands. Landsat series or ASTER MS data were pan sharpened with IRS to help geologists find the lithological boundary more easily [23,24]. ASTER MS data were fused with QuickBird PAN in order to obtain higher spatial resolution, which has been proven effective for extracting alteration information [2].…”

Section: Introductionmentioning

confidence: 99%

Mapping of Intrusive Complex on a Small Scale Using Multi-Source Remote Sensing Images

Zhang

Duan

et al. 2020

IJGI

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Multi-stage intrusive complex mapping plays an important role in regional mineralization research. The similarity of lithology characteristics between different stages of intrusions necessitates the use of richer spectral bands, while higher spatial resolution is also essential in small-scale research. In this paper, a multi-source remote sensing data application method was proposed. This method includes a spectral synergy process based on statistical regression and a fusion process using Gram–Schmidt (GS) spectral sharpening. We applied the method with Gaofen-2 (GF2), Sentinel-2, and Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data to the mapping of the Mountain Sanfeng intrusive complex in northwest China in which Carboniferous intrusions have been proven to be directly related to the formation of Au deposits in the area. The band ratio (BR) and relative absorption band depth (RBD) were employed to enhance the spectral differences between two stage intrusions, and the Red-Green-Blue (RGB) false colour of the BR and RBD enhancement images performed well in the west and centre. Excellent enhancement results were obtained by making full use of all bands of the synergistic image and using the Band Ratio Matrix (BRM)-Principal Component Analysis (PCA) method in the northeast part of the study area. A crucial improvement in enhancement performance by the GS fusion process and spectral synergy process was thus shown. An accurate mapping result was obtained at the Mountain Sanfeng intrusive complex. This method could support small-scale regional geological survey and mineralization research in this region.

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