Twenty Years of ASTER Contributions to Lithologic Mapping and Mineral Exploration

Abrams, Michael J.; Yamaguchi, Yasushi

doi:10.3390/rs11111394

Cited by 70 publications

(26 citation statements)

References 142 publications

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“…Due to sensor failure, SWIR data acquired since April of 2008 is not available [82]. Nonetheless, as mentioned before, ASTER's specific characteristics greatly contributed to mineral exploration, especially in alteration mapping associated with gold and porphyry copper deposits [53,54]. A review of the different "on-demand" ASTER products can be found in the work of Pour and Hashim [83].…”

Section: Data Products Used For the Researchmentioning

confidence: 99%

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Detecting Lithium (Li) Mineralizations from Space: Current Research and Future Perspectives

et al. 2020

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Optical and thermal remote sensing data have been an important tool in geological exploration for certain deposit types. However, the present economic and technological advances demand the adaptation of the remote sensing data and image processing techniques to the exploration of other raw materials like lithium (Li). A bibliometric analysis, using a systematic review approach, was made to understand the recent interest in the application of remote sensing methods in Li exploration. A review of the application studies and developments in this field was also made. Throughout the paper, the addressed topics include: (i) achievements made in Li exploration using remote sensing methods; (ii) the main weaknesses of the approaches; (iii) how to overcome these difficulties; and (iv) the expected research perspectives. We expect that the number of studies concerning this topic will increase in the near future and that remote sensing will become an integrated and fundamental tool in Li exploration.

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Section: Data Products Used For the Researchmentioning

confidence: 99%

“…The swath width is 13.1 km. Despite lacking a TIR sensor, WorldView-3 has good potential for mineral mapping since its bandpasses are very similar to the ASTER VNIR-SWIR ones [4,54]. Additionally, such high resolution can help to tackle the vegetation problems due to the sensors' ability to map between trees [4].…”

Section: Data Products Used For the Researchmentioning

confidence: 99%

Detecting Lithium (Li) Mineralizations from Space: Current Research and Future Perspectives

et al. 2020

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“…In the ASTER science team, several calibration approaches (i.e., preflight, onboard, vicarious, cross, lunar, and inter-band calibrations) have been performed and discussed for the ASTER VNIR radiometers. Vicarious and lunar calibration approaches have been selected [32], and the radiometric degradation curves for ASTER VNIR processing have been derived from the vicarious and lunar calibrations. The basic ideas (i.e., reason and philosophy) of this selection are explained as follows.…”

Section: Selection Of the Calibration Approachmentioning

confidence: 99%

Radiometric Degradation Curves for the ASTER VNIR Processing Using Vicarious and Lunar Calibrations

et al. 2020

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The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) onboard Terra platform, which was launched in 1999, has three separate subsystems: a visible and near-infrared (VNIR) radiometer, a shortwave-infrared radiometer, and a thermal-infrared radiometer. The ASTER VNIR bands have been radiometrically corrected for approximately 14 years by the sensor degradation curves estimated from the onboard calibrator according to the original calibration plan. However, this calibration by the onboard calibrator encountered a problem; specifically, it is inconsistent with the results of vicarious calibration and cross calibration. Therefore, the ASTER VNIR processing was applied by the radiometric degradation curves calculated from the results of three calibration approaches, i.e., the onboard calibrator, the vicarious calibration, and the cross calibration since February 2014. Even though the current degradation curves were revised, the inter-band and lunar calibrations show some inconsistencies owing to the different traceability in the bands by different calibration approaches. In this study, the current degradation curves and their problems are explained, and the new curves that are derived from the vicarious calibration with lunar calibration are discussed. The new degradation curves that have the same traceability in the bands will be used for future ASTER VNIR processing.

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“…The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) sensor was launched in 18 December, 1999, onboard the first NASA's Earth Observation System (EOS) series of satellites, Terra [10,11]. The ASTER covered a wide spectral region with 14 bands from visible to thermal infrared with high spatial, spectral and radiometric resolution as shown in Table 1.…”

Section: Introductionmentioning

confidence: 99%

New Insights of Geomorphologic and Lithologic Features on Wudalianchi Volcanoes in the Northeastern China from the ASTER Multispectral Data

Ninomiya

et al. 2019

Remote Sensing

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Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) imaging system onboard NASA’s (National Aeronautics and Space Administration’s) Terra satellite is capable of measuring multispectral reflectance of the earth’s surface targets in visible and infrared (VNIR) to shortwave infrared (SWIR) (until 2006) as well as multispectral thermal infrared (TIR) regions. ASTER VNIR stereo imaging technique can provide high-resolution digital elevation models (DEMs) data. The DEMs data, three-dimensional (3D) perspective, and ratio images produced from the ASTER multispectral data are employed to analyze the geomorphologic and lithologic features of Wudalianchi volcanoes in the northeastern China. Our results indicate that the 14 major conical volcanic craters of Wudalianchi volcanoes are arranged as three sub-parallel zones, extending in a NE (Northeast) direction, which is similar to the direction of regional fault system based on the ASTER DEMs data. Among the 14 volcanic craters in Wudalianchi, the Laoheishan, and Huoshaoshan lavas flows, after the historic eruptions, pouring down from the crater, partially blocked the Baihe River, which forms the Five Large Connected Pools, known as the Wudalianchi Lake. Lithologic mapping shows that ASTER multispectral ratio imagery, particularly, the Lava Flow Index (LFI) (LFI = B10/B12) imagery, can clearly distinguish different lava flow units, and at least four stages of volcanic eruptions are revealed in the Wudalianchi Quaternary volcano cluster. Thus, ASTER multispectral TIR data can be used to determine relative dating of Quaternary volcanoes in the semi-arid region. Moreover, ASTER 3D perspective image can present an excellent view for tracking the flow directions of different lavas of Wudalianchi Holocene volcanoes.

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Twenty Years of ASTER Contributions to Lithologic Mapping and Mineral Exploration

Cited by 70 publications

References 142 publications

Detecting Lithium (Li) Mineralizations from Space: Current Research and Future Perspectives

Detecting Lithium (Li) Mineralizations from Space: Current Research and Future Perspectives

Radiometric Degradation Curves for the ASTER VNIR Processing Using Vicarious and Lunar Calibrations

New Insights of Geomorphologic and Lithologic Features on Wudalianchi Volcanoes in the Northeastern China from the ASTER Multispectral Data

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