Remote sensing techniques using Landsat ETM+ applied to the detection of iron ore deposits in Western Africa

Arabian Journal of Geosciences (Impact Factor: 1.15). 11/2013; DOI: 10.1007/s12517-012-0725-0

ABSTRACT Remote sensing methods enable the rapid and inexpensive mapping of surface geological and mineralogical features. This capability proves highly useful when working on isolated or inaccessible areas. In this study, several enhancements of Landsat Enhanced Thematic Mapper plus (i.e. band ratios, false colour composites and principal component analysis) were used and evaluated to obtain the best possible visualisation of iron deposits hosted in the Devonian sedimentary rocks of northwestern Africa. In particular, two test sites were chosen: southern Algeria (Djebilet area), where the literature mineralogical and geological data on iron mine fields were already available, and the Western Sahara (the southern flank of Tindouf Basin), which was investigated during a field campaign and was where the occurrence of an analogous sedimentary succession led us to hypothesise the possible presence of exploitable iron deposits. This work demonstrates the usefulness of multispectral imagery in the detection of iron-rich areas and establishes a full remote sensing procedure, which can be profitably applied to a wider region of Western Sahara and can provide interesting perspectives on the possibility of detecting new exploitable iron ore deposits in arid environments.

  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: The Xiemisitai area, West Junggar, Xinjiang, China, is situated at a potential copper mineralization zone in association with small granitic intrusions. In order to identify the alteration zones and mineralization characteristics of the intrusions, Landsat Enhanced Thematic Mapper (ETM+) and Quickbird data of the study area were evaluated in mapping lithological units, small intrusions, and alteration zones.
    Remote Sensing 06/2013; 5(7):3156-3171. · 2.62 Impact Factor
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: The management of the coastal environment is a complex issue, which needs for appropriate methodologies. Erosional processes and longshore currents present in the submerged beach represent a serious danger for both people and human infrastructures. A proper integration between traditional and innovative techniques can help in the characterization and management of the beach environment. Several different multispectral and hyperspectral techniques were used to retrieve information about the hydro and morphodynamic settings of the Pisa province coast (Tuscany, Italy). Results were validated using about 130 samples collected along the study area, between the mouths of the Serchio river and the Scolmatore canal. The composition of sand samples was evaluated by means of petrographic microscopy and grain size analyses. The same samples were analyzed using an Analytical Spectral Device (ASD) Fieldspec. The obtained sediment spectral library was used to evaluate the differences in mineralogical composition, which can be related to different source areas. Results coming from spectroscopy were compared to those obtained from the petrographic and grain size analysis. Furthermore a multispectral aerial image was used to evaluate sediment distribution along the submerged beach, to map the geomorphic features and to detect the presence of longshore and rip currents. This works suggests that optical remote sensing technique can be profitably used in order to reduce the need for expensive and time consuming conventional analysis.
    Applied Geography 02/2015; 57. · 3.08 Impact Factor
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Many iron occurrences and deposits exist in the Central Iranian structural zone, especially in the Bafq district. The Esfordi 1:100,000 mapping sheet is located in this region and there are several iron mines and deposits, e.g. Chadormalu, Choghart, Seh-Chahoon, Mishdowan and Zaghia. The aim of this study is to identify and detect the iron bearing occurrences by utilizing the Landsat ETM+ and the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) satellite data. Several methods consist of Linear Band Prediction (LS-Fit), Matched Filtering (MF), Spectral Angle Mapper (SAM), Spectral Feature Fitting (SFF), Band Ratio (BR: 2/1 and 3/1) and Visual interpretation (RGB: 531) were used for this purpose. Structures were identified by visual interpretation of images and band combinations (RGB: 431). Target areas were found by LS-Fit, MF and SAM overlapping being situated in the North and the North-East, Central and North Western parts of the Esfordi mapping sheet which is now proposed for iron occurrences prospecting.
    Journal of African Earth Sciences 09/2013; 85:103–114. · 1.38 Impact Factor


Available from
Jun 1, 2014