scholarly journals A Remote-Sensing-Based Alteration Zonation Model of the Duolong Porphyry Copper Ore District, Tibet

2021 ◽  
Vol 13 (24) ◽  
pp. 5073
Author(s):  
Fojun Yao ◽  
Xingwang Xu ◽  
Jianmin Yang ◽  
Xinxia Geng
Keyword(s):  
Remote Sensing ◽  
Thermal Emission ◽  
Mineral Exploration ◽  
Porphyry Copper ◽  
Principal Component ◽  
Thermal Infrared ◽  
Copper Ore ◽  
Aster Data ◽  
Alteration Zoning ◽  
Ore District

Remote sensing (RS) of alteration zones and anomalies can provide information that is useful for geological prospecting and exploration. RS is an effective method for porphyry copper mineral exploration and prospecting prediction. More specifically, the Advanced Spaceborne Thermal Emission and Reflection radiometer (ASTER) data, which include 14 spectral channels from visible light to thermal infrared, are useful in such cases. This study uses visible-shortwave infrared and thermal infrared ASTER data together with surface material spectra from the Duolong porphyry copper ore district to construct an RS-based alteration zonation model of the deposit. In this study, an RS alteration zoning model is established based on ground-spectral alteration zoning results. The methods include PCA (Principal Component Analysis), Ratio, and Slope methods. The information obtained by each method is different. RS-based alteration zonation is developed based on the intersection of maps, resultant from the different methods for extracting information related to different minerals. The alteration zonation information extracted from ASTER RS data is consistent with geological observations. Using information from the RS-based model, we mapped the alteration minerals and zones of the Duolong ore district, thereby identifying prospecting target areas of the deposit.

scholarly journals Twenty Years of ASTER Contributions to Lithologic Mapping and Mineral Exploration

2019 ◽  
Vol 11 (11) ◽  
pp. 1394 ◽  
Author(s):  
Michael Abrams ◽  
Yasushi Yamaguchi
Keyword(s):  
Thermal Emission ◽  
Surface Composition ◽  
Mineral Exploration ◽  
Wavelength Region ◽  
Thermal Infrared ◽  
Optical Data ◽  
Sufficient Information ◽  
Infrared Band ◽  
Quartz Content ◽  
Joint Project

The Advanced Spaceborne Thermal Emission and Reflection Radiometer is one of five instruments operating on the National Aeronautics and Space Administration (NASA) Terra platform. Launched in 1999, the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) has been acquiring optical data for 20 years. ASTER is a joint project between Japan’s Ministry of Economy, Trade and Industry; and U.S. National Aeronautics and Space Administration. Numerous reports of geologic mapping and mineral exploration applications of ASTER data attest to the unique capabilities of the instrument. Until 2000, Landsat was the instrument of choice to provide surface composition information. Its scanners had two broadband short wave infrared (SWIR) bands and a single thermal infrared band. A single SWIR band amalgamated all diagnostic absorption features in the 2–2.5 micron wavelength region into a single band, providing no information on mineral composition. Clays, carbonates, and sulfates could only be detected as a single group. The single thermal infrared (TIR) band provided no information on silicate composition (felsic vs. mafic igneous rocks; quartz content of sedimentary rocks). Since 2000, all of these mineralogical distinctions, and more, could be accomplished due to ASTER’s unique, high spatial resolution multispectral bands: six in the SWIR and five in the TIR. The data have sufficient information to provide good results using the simplest techniques, like band ratios, or more sophisticated analyses, like machine learning. A robust archive of images facilitated use of the data for global exploration and mapping.

Thermal Infrared Remote Sensing of Mars from Rovers Using the Miniature Thermal Emission Spectrometer

2019 ◽  
pp. 499-512
Author(s):  
Steven W. Ruff ◽  
Joshua L. Bandfield ◽  
Philip R. Christensen ◽  
Timothy D. Glotch ◽  
Victoria E. Hamilton ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Thermal Emission ◽  
Thermal Infrared ◽  
Thermal Infrared Remote Sensing ◽  
Infrared Remote Sensing

scholarly journals Recognition of a porphyry system using ASTER data in Bideghan – Qom province (central of Iran)

2014 ◽  
Vol 6 (2) ◽  
pp. 1765-1798 ◽  
Author(s):  
F. Feizi ◽  
E. Mansouri
Keyword(s):  
Thermal Emission ◽  
Volcanic Rocks ◽  
Principal Component ◽  
Field Investigation ◽  
Least Square ◽  
Band Ratio ◽  
Aster Data ◽  
False Color ◽  
False Color Composite ◽  
Color Composite

Abstract. The Bideghan area is located south of the Qom province (central of Iran). The most impressive geological features in the studied area are the Eocene sequences which are intruded by volcanic rocks with basic compositions. Advanced Space borne Thermal Emission and Reflection Radiometer (ASTER) image processing have been used for hydrothermal alteration mapping and lineaments identification in the investigated area. In this research false color composite, band ratio, Principal Component Analysis (PCA), Least Square Fit (LS-Fit) and Spectral Angel Mapping (SAM) techniques were applied on ASTER data and argillic, phyllic, Iron oxide and propylitic alteration zones were separated. Lineaments were identified by aid of false color composite, high pass filters and hill-shade DEM techniques. The results of this study demonstrate the usefulness of remote sensing method and ASTER multi-spectral data for alteration and lineament mapping. Finally, the results were confirmed by field investigation.

scholarly journals New Insights into the Pulang Porphyry Copper Deposit in Southwest China: Indication of Alteration Minerals Detected Using ASTER and WorldView-3 Data

2021 ◽  
Vol 13 (14) ◽  
pp. 2798
Author(s):  
Qi Chen ◽  
Zhifang Zhao ◽  
Jiaxi Zhou ◽  
Min Zeng ◽  
Jisheng Xia ◽  
...  
Keyword(s):  
Porphyry Copper ◽  
Principal Component ◽  
Normal Fault ◽  
Copper Deposit ◽  
Cost Effective ◽  
Porphyry Copper Deposit ◽  
Alteration Zoning ◽  
Spectrum Area ◽  
Alteration Minerals ◽  
Resource Exploration

The Pulang porphyry copper deposit (PCD), one of the main potential areas for copper resource exploration in China, exhibits typical porphyry alteration zoning. However, further investigation of the indicative significance of alteration minerals, additional insight into metallogenic characteristics, and prospecting guidelines continue to be challenging. In this study, ASTER and WorldView-3 data were used to map hydrothermal alteration minerals by employing band ratios, principal component analysis, and spectrum-area techniques; and subsequently, the indication significance of alteration minerals was studied in-depth. The following new insights into the metallogenic structure and spatial distribution of alteration zoning in Pulang PCD were obtained and verified. (1) A new NE trending normal fault, passing through the northeast of Pulang PCD, was discovered. (2) Two mineralization alteration centers, exhibiting alteration zoning characteristics of potassic-silicified, phyllic, and propylitic zones from the inside to the outside, were observed on both sides of the fault. (3) At the junction of the redivided potassic-silicification and phyllic zones, favorable prospecting potential areas were delineated. This study shows that the spectral/multi-sensor satellite data are valuable and cost-effective tools for the preliminary stages of porphyry copper exploration in inaccessible and remote areas around the world.

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

2020 ◽  
Vol 9 (9) ◽  
pp. 543
Author(s):  
Yuzhou Zhang ◽  
Dengrong Zhang ◽  
Jinwei Duan ◽  
Tangao Hu
Keyword(s):  
Remote Sensing ◽  
Thermal Emission ◽  
Remote Sensing Data ◽  
Principal Component ◽  
Northwest China ◽  
Fusion Process ◽  
Small Scale ◽  
Intrusive Complex ◽  
Statistical Regression ◽  
Band Ratio

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.

scholarly journals Thermal Infrared Spectral Characteristics of Bunker Fuel Oil to Determine Oil-Film Thickness and API

2020 ◽  
Vol 8 (2) ◽  
pp. 135 ◽  
Author(s):  
Gang Guo ◽  
Bingxin Liu ◽  
Chengyu Liu
Keyword(s):  
Principal Component Analysis ◽  
Film Thickness ◽  
Thermal Emission ◽  
Spectral Characteristics ◽  
Principal Component ◽  
Thermal Infrared ◽  
Component Analysis ◽  
Fuel Oil ◽  
Oil Film ◽  
Continuum Removal

Remote sensing is an important method for monitoring marine oil-spill accidents. However, methods for measuring oil-film thickness remain insufficient. Due to the stable differences in the surface emissivity and temperature of oil and water, the oil film can be detected using thermal infrared. This study measured emissivity of seven different oil-film thicknesses and seven different American Petroleum Institute (API) densities, and analyzed the spectral characteristics. Results show an optimal wavelength position for oil-film thickness and fuel API density monitoring is 12.55 μm. Principal component analysis and continuum removal methods were used for data processing. Stepwise multiple linear regression was used to establish relationships between emissivity and oil slick thicknesses and API densities. Oil-film thickness and fuel API density data were analyzed by principal component analysis and continuum removal before regression analysis. The spectral emissivity data was convolved into Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and Advanced Very High Resolution Radiometer (AVHRR) thermal bands to determine potential of the sensor in oil-film detection. The result shows that neither could be used to estimate thickness. The AVHRR-4 band and band 12 and 13 of the ASTER could be used to separate oils from water and have potential to distinguish different oil types.

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