Facies discrimination in laterites using Landsat Thematic Mapper, ASTER and ALI data—examples from Eritrea and Arabia

Deller, M.E. Andrews

doi:10.1080/01431160601069668

Cited by 3 publications

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“…Numerous remote sensing‐oriented mineral prospecting have been implemented by enhancing mineral characteristics of hydrothermal alteration involving the diagnostic features of iron oxides, carbonate‐ or hydroxyl‐bearing minerals (Andrews‐Deller, ; Crosta & Moore, ; Crosta, Sabine, & Taranik, ; Fraser, ; Liu, Zhou, Yin, Feng, & Zhang, ; Liu, Feng et al, ; Ranjbar, Masoumi, & Carranza, ; Sadeghi et al, ; Torres‐Vera & Prol‐Ledesma, ). The Landsat Thematic Mapper (TM), Enhanced Thematic Mapper+ (ETM+), Operational Land Imager (OLI), Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), and Hyperion data are the most commonly used spaceborne datasets for alteration mineral mapping (Amer, El Mezayen, & Hasanein, ; Andrews‐Deller, ; Crosta & Moore, ; Fraser, ; Gabr, Ghulam, & Kusky, ; Liu, Zhuang, Zhou, & Qiu, ; Liu et al, , ; Liu, Zhou, Han, & Xu, ; Mars & Rowan, ; Moore, Rastmanesh, Asadi, & Modabberi, ; Pour, Hashim, & van Genderen, ; Rowan, Mars, & Simpson, ; Rowan, Schmidt, & Mars, ; Ranjbar et al, ; Sadeghi et al, ).…”

Section: Introductionmentioning

confidence: 99%

Gold‐copper deposits in Wushitala, Southern Tianshan, Northwest China: Application of ASTER data for mineral exploration

Liu

Zhou

et al. 2017

Geological Journal

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The Southern Tianshan area is one of the most important gold belts identified by many world‐class, super large and large gold deposits such as Muruntau (Uzbekistan), Kumtor (Kyrgyzstan), and Jilau (Tajikistan). Some medium‐ to small‐scale gold deposits, such as Sawayaerdun and Bulong, have been discovered and reported in recent years at the China part of the belt. The study area, named the Wushitala area, is located in the eastern part of Southern Tianshan, and it has a strong potential for gold and other metallic mineral deposits. This study utilizes various image processing techniques, including false colour composite, band ratios, and matched filtering, to process Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data and map the distribution of hydrothermal minerals (e.g., muscovite, kaolinite, chlorite, epidote, goethite, and malachite) related to the known deposits in the Wushitala area. The identified alteration zones are coincident with the known gold and copper deposits and field samples from the study area. The distribution of the alteration zones also indicates that the acid intrusions and regional structures play an important role in focusing the mineralizing fluids. The results show that ASTER data accompanied with image processing methods and reference spectra (e.g., JPL, lab, or field measured) could be an effective technique for mapping hydrothermal alteration zones in areas with no dominant vegetation cover. Due to the extensively distributed acid intrusions and structures along the Southern Tianshan Belt, the mineral prospecting methodology is suggested for application in similar geological settings in the belt.

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Section: Introductionmentioning

confidence: 99%

Gold‐copper deposits in Wushitala, Southern Tianshan, Northwest China: Application of ASTER data for mineral exploration

Liu

Zhou

et al. 2017

Geological Journal

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“…However, studies that solely used multispectral data from satellite sensors (e.g. Landsat data) did not accurately map iron content (Andrews Deller, 2006). Some spectral indices based on satellite data also did not provide accurate results.…”

Section: Introductionmentioning

confidence: 98%

Geotechnologies applied in digital soil mapping

Mendes¹

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Geotechnologies applied in digital soil mappingThe civilisation lives in a world of maps and soil maps are vital at regional and farm levels to achieve best management agricultural practices. Soil is the substrate for plant growth and vital to the fulfilment of the food demand. However, the cartographic scale of those soil maps, which for the best management agricultural practice (BMAP) have to be the most detailed as possible and they are scarce. The Digital Soil Mapping (DSM) became the easiest and feasible approach to achieve such demand. Despite previous studies have tried to better characterise soil depths, there is space for improvements on its dynamics and mapping. Looking at this goal, Remote Sensing (RS) technologies have proven to be a great power on this task. Nevertheless, some aspects of that approach still need to be tested using another hybrid, stochastic, and deterministic models for the predictions of magnetic susceptibility (MS) and soil attributes at surface and subsurface. Therefore, chapter 1 presents the evaluation of nine machine learning algorithms (MLAs) to predict the free iron content at the soil surface (e.g. 0 -20 cm) using the DSM framework. Based on the best performance of those nine MLAs, we selected five MLAs. Chapter 2 shows the use of those five MLAs with usual and new environmental variables (e.g. DEM, drainage network, and soil spectroscopy) to predict the MS and soil attributes up to 100 cm depth. Attempts on quantifying soil mineral consist of having an observation measured using traditional laboratory soil analysis. However, developments in interpreting and analysing the visible and near-infrared (VNIR) diffuse reflectance have allowed quantifying some soil minerals. In chapter 3, it implements a novel framework using VNIR spectroscopy to quantify the main soil minerals and evaluates the application of digital soil mapping framework to spatialise those soil minerals. Last but not least, the chapter 4 presents the novelty of using all predict soil components as predictors of the soil mapping units in the region of Piracicaba-SP at farm scale (1:20,000), generating the first detailed digital soil map of the region. Additionally in this chapter, it was created the digital yield environmental map for sugarcane production. Thus, this thesis presents a new integrative framework to achieve detail soil maps for the BMAP and serves as a guide for future soil surveys across the world.

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Potential Utility of Spectral Angle Mapper and Spectral Information Divergence Methods for mapping lower Vindhyan Rocks and Their Accuracy Assessment with Respect to Conventional Lithological Map in Jharkhand, India

Rao

Guha

2018

J Indian Soc Remote Sens

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Facies discrimination in laterites using Landsat Thematic Mapper, ASTER and ALI data—examples from Eritrea and Arabia

Cited by 3 publications

References 0 publications

Gold‐copper deposits in Wushitala, Southern Tianshan, Northwest China: Application of ASTER data for mineral exploration

Gold‐copper deposits in Wushitala, Southern Tianshan, Northwest China: Application of ASTER data for mineral exploration

Geotechnologies applied in digital soil mapping

Potential Utility of Spectral Angle Mapper and Spectral Information Divergence Methods for mapping lower Vindhyan Rocks and Their Accuracy Assessment with Respect to Conventional Lithological Map in Jharkhand, India

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