An Overview on 40 Years of Remote Sensing Geology Based on Arab Examples

Deroin, Jean-Paul

doi:10.1007/978-3-319-96794-3_12

Cited by 3 publications

(4 citation statements)

References 73 publications

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“…The land cover classes indicate the dominant feature classes of the landscapes identified on the images, which have specific characteristics and vegetation patterns that are unique for that given spot on the image. These include the following types derived from the FAO and adopted with generalization for the study area: (1) Bare areas (desert sands); (2) salt hardpans; (3) water bodies (Chotts Melrhir and Merouane); (4) non-consolidated soils (5) consolidated soils; (6) sparse grassland; (7) sparse shrubland; (8) sparse trees (9) sparse vegetation; (10) grassland; (11) broadleaved shrubland. The land cover classes were used as representative areas on the classified maps to compare and distinguish landscape dynamics over nine years.…”

Section: Scripting In Grass Gismentioning

confidence: 99%

“…The various colors and brightness of the land cover classes visible on the images are determined by the spectral reflectance of the pixels and can be used for mapping the Earth's landscapes [2][3][4][5][6]. Using remote sensing data allows for the detection of heterogeneity in the Earth's landscapes [7], enabling the recording of geological processes [8,9] and the analysis of environmental connections [10,11]. Furthermore, spectral reflectances of land cover types identified on the satellite image may be used to detect soil salinity [12].…”

Section: Introduction 1backgroundmentioning

confidence: 99%

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A GRASS GIS Scripting Framework for Monitoring Changes in the Ephemeral Salt Lakes of Chotts Melrhir and Merouane, Algeria

Lemenkova

2023

ASI

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Automated classification of satellite images is a challenging task that enables the use of remote sensing data for environmental modeling of Earth’s landscapes. In this document, we implement a GRASS GIS-based framework for discriminating land cover types to identify changes in the endorheic basins of the ephemeral salt lakes Chott Melrhir and Chott Merouane, Algeria; we employ embedded algorithms for image processing. This study presents a dataset of the nine Landsat 8–9 OLI/TIRS satellite images obtained from the USGS for a 9-year period, from 2014 to 2022. The images were analyzed to detect changes in water levels in ephemeral lakes that experience temporal fluctuations; these lakes are dry most of the time and are fed with water during rainy periods. The unsupervised classification of images was performed using GRASS GIS algorithms through several modules: `i.cluster’ was used to generate image classes; `i.maxlik’ was used for classification using the maximal likelihood discriminant analysis, and auxiliary modules, such as `i.group’, `r.support’, `r.import’, etc., were used. This document includes technical descriptions of the scripts used for image processing with detailed comments on the functionalities of the GRASS GIS modules. The results include the identified variations in the ephemeral salt lakes within the Algerian part of the Sahara over a 9-year period (2014–2022), using a time series of Landsat OLI/TIRS multispectral images that were classified using GRASS GIS. The main strengths of the GRASS GIS framework are the high speed, accuracy, and effectiveness of the programming codes for image processing in environmental monitoring. The presented GitHub repository, which contains scripts used for the satellite image analysis, serves as a reference for the interpretation of remote sensing data for the environmental monitoring of arid and semi-arid areas of Africa.

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Section: Scripting In Grass Gismentioning

confidence: 99%

Section: Introduction 1backgroundmentioning

confidence: 99%

A GRASS GIS Scripting Framework for Monitoring Changes in the Ephemeral Salt Lakes of Chotts Melrhir and Merouane, Algeria

Lemenkova

2023

ASI

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“…The use of remote sensing data, particularly ASTER data, has become more important, especially in the mapping of hydrothermal alteration zones [1]. This data provides more effective information that can help mining exploration geologists, due to the spatial, spectral and radiometric variability and resolution of this image [2].…”

Section: Introductionmentioning

confidence: 99%

Integrating Aster Images Processing and Fieldwork for Identification of Hydrothermal Alteration Zones at the Oumjrane-Boukerzia District, Moroccan Anti-Atlas

Ouhoussa¹,

Ghafiri²,

Aissi³

et al. 2023

OJG

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Mapping from remote sensing has become more effective in the field of geology, mainly in lithological discrimination and identification of hydrothermal alteration zones. The use of this technique consists in obtaining information about the rock mass and the main ones existing in the inaccessible areas. Satellite data from the ASTER (Advanced Spaceborne Thermal Emission and Reflection Radiometer) sensor represent a favorable potential for detecting the spectral signatures of mineral zones and identifying their nature. These data are more reliable in places where the climate is arid with less abundant vegetation, as at the Oumjrane-Boukerzia mining district. This region which is part of the Eastern Anti-Atlas, is composed of several mineralized veins which still require detailed studies and exploration by the technique of remote sensing. In this work we applied several processing techniques on ASTER imagery such as Colored Composition, Principal Component Analysis and Ratio Bands. The use of the reports of the specialized Bands makes it possible to identify some hydrothermal alteration minerals within the mining district of Oumjrane Boukerzia. These minerals are represented mainly by iron oxides and hydroxides (Hematite, jarosite, limonite and goethite), carbonate minerals (dolomite, calcite), clay minerals (Illite, kaolinite and chlorite) and quartz minerals. This work allows us to produce a map of hydrothermal alteration zones which can be used as a valuable reference in the strategy of mining exploration for the base metals (Cu, Pb, Zn and Ba), in the mining district of Oumjrane-Boukerzia and in the entire Eastern Anti-Atlas.

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“…This holds true for the North Cameroon region, particularly in the Poli area, where exploration efforts have remained limited despite the region's abundant mineral potential. To capitalize on the advantages offered by remote sensing imagery, we have leveraged the growing popularity of ASTER images (Deroin, 2019;Ouhoussa et al, 2022) for conducting reconnaissance mapping in the Poli area. The Poli area is located in the Northern Cameroon region, bounded by the latitude coordinates 08˚10'39'' and 08˚34'22'' North, as well as longitudes 13˚03' and 13˚31' East.…”

Section: Introductionmentioning

confidence: 99%

ASTER Data Processing by Discrete Wavelets Transform and Band Ratio Techniques for the Identification of Lineaments and Hydrothermal Alteration Zones in Poli, North Cameroon

Ahamadou,

Stella,

Arsène

2023

GEP

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The aim of this study is to carry out hydrothermal alteration mapping and structural mapping using ASTER images in order to identify indices that could guide mining exploration work in the Poli area and its surroundings. To achieve this, the ASTER images were first preprocessed to correct atmospheric effects and remove vegetation influence. Secondly, a lineament mapping was conducted by applying Discrete Wavelet Transform (DWT) algorithms to the First Principal Component Analysis (PCA1) of Visible Near-Infrared (VNIR) and Shortwave Infrared (SWIR) bands. Lastly, band ratio methods were applied to the VNIR, SWIR, and Thermal Infrared (TIR) bands to determine indices of iron oxides/hydroxides (hematite and limonite), hydroxyl-bearing minerals (chlorite, epidote, and muscovite), and the quartz index. The results obtained showed that the lineaments were mainly oriented NE-SW, ENE-WSW, and E-W, with NE-SW being the most predominant direction. Concerning hydrothermal alteration, the identified indices covered almost the entire study area and showed a strong correlation with lithological data. Overlaying the obtained lineaments with the hydrothermal alteration indices revealed a significant correlation between existing mining indices and those observed in the field. Mineralized zones generally coincided with areas of high lineament density exhibiting significant hydrothermal alteration. Based on the correlation between existing mining indices and the results of hydrothermal and structural mapping, the results obtained can then be used as a reference document for any mining exploration in the study area.

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An Overview on 40 Years of Remote Sensing Geology Based on Arab Examples

Cited by 3 publications

References 73 publications

A GRASS GIS Scripting Framework for Monitoring Changes in the Ephemeral Salt Lakes of Chotts Melrhir and Merouane, Algeria

A GRASS GIS Scripting Framework for Monitoring Changes in the Ephemeral Salt Lakes of Chotts Melrhir and Merouane, Algeria

Integrating Aster Images Processing and Fieldwork for Identification of Hydrothermal Alteration Zones at the Oumjrane-Boukerzia District, Moroccan Anti-Atlas

ASTER Data Processing by Discrete Wavelets Transform and Band Ratio Techniques for the Identification of Lineaments and Hydrothermal Alteration Zones in Poli, North Cameroon

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