Satellite imagery and airborne geophysics for geologic mapping of the Edembo area, Eastern Hoggar (Algerian Sahara)

Lamri, Takfarinas; Djemai, Safouane; Hamoudi, Mohamed; Zoheir, Basem; Bendaoud, Abderrahmane; Ouzegane, Khadidja; Amara, Massinissa

doi:10.1016/j.jafrearsci.2015.12.008

Cited by 31 publications

(4 citation statements)

References 29 publications

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“…In image fusion procedures, multispectral channels, characterized by a coarser spatial resolution than the panchromatic, are downscaled through analytical models based on the panchromatic-derived spatial information (Eyers et al, 1998;Chini et al, 2011;Martha and Kerle, 2012;Kurtz et al, 2014). The False Colour Composites (FCCs) of the VHR images are often used to discriminate lithologies or terrain having different characteristics (weathering, water content, vegetation cover) (Ciampalini et al, 2012;Lamri et al, 2016).…”

Section: Spaceborne Platforms Optical Vhr Imagerymentioning

confidence: 99%

Spaceborne, UAV and ground-based remote sensing techniques for landslide mapping, monitoring and early warning

Casagli

Frodella

Morelli

et al. 2017

Geoenviron Disasters

267

146

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Background: The current availability of advanced remote sensing technologies in the field of landslide analysis allows for rapid and easily updatable data acquisitions, improving the traditional capabilities of detection, mapping and monitoring, as well as optimizing fieldwork and investigating hazardous or inaccessible areas, while granting at the same time the safety of the operators. Among Earth Observation (EO) techniques in the last decades optical Very High Resolution (VHR) and Synthetic Aperture Radar (SAR) imagery represent very effective tools for these implementations, since very high spatial resolution can be obtained by means of optical systems, and by the new generations of sensors designed for interferometric applications. Although these spaceborne platforms have revisiting times of few days they still cannot match the spatial detail or time resolution achievable by means of Unmanned Aerial Vehicles (UAV) Digital Photogrammetry (DP), and ground-based devices, such as Ground-Based Interferometric SAR (GB-InSAR), Terrestrial Laser Scanning (TLS) and InfraRed Thermography (IRT), which in the recent years have undergone a significant increase of usage, thanks to their technological development and data quality improvement, fast measurement and processing times, portability and cost-effectiveness. In this paper the potential of the abovementioned techniques and the effectiveness of their synergic use is explored in the field of landslide analysis by analyzing various case studies, characterized by different slope instability processes, spatial scales and risk management phases. Results: Spaceborne optical Very High Resolution (VHR) and SAR data were applied at a basin scale for analysing shallow rapid-moving and slow-moving landslides in the emergency management and post-disaster phases, demonstrating their effectiveness for post-disaster damage assessment, landslide detection and rapid mapping, the definition of states of activity and updating of landslide inventory maps. The potential of UAV-DP for very high resolution periodical checks of instability phenomena was explored at a slope-scale in a selected test site; two shallow landslides were detected and characterized, in terms of areal extension, volume and temporal evolution. The combined use of GB-InSAR, TLS and IRT ground based methods, was applied for the surveying, monitoring and characterization of rock slides, unstable cliffs and translational slides. These applications were evaluated in the framework of successful rapid risk scenario evaluation, long term monitoring and emergency management activities. All of the results were validated by means of field surveying activities.

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Section: Spaceborne Platforms Optical Vhr Imagerymentioning

confidence: 99%

Spaceborne, UAV and ground-based remote sensing techniques for landslide mapping, monitoring and early warning

Casagli

Frodella

Morelli

et al. 2017

Geoenviron Disasters

267

146

View full text Add to dashboard Cite

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“…Techniques like principal component analysis require an in-depth field verification study for classifications and the spectral properties of specific lithology to provide sophisticated techniques for transformations (Watts and Harris, 2005).In this study, we have used the band ratio concept where each band is being emphasized and mathematically used to derive one target (waste rock dump) by eliminating the shadow effects caused by relief structures present in the study area. Numerous authors have employed this band ratio technique to identify, categories, and map distinct rock units ( Xu et al, 2004;Gomez et al,2005;Ninomiya et al, 2005;Gad and Kusky, 2006;Zoheir and Emam, 2012;Matar and Bamousa, 2013;Elmagd et al, 2015;Rajendran and Nasir, 2014;Lamri et al, 2016;Guha and Vinod Kumar, 2016;AbdelmalikandAbd-Allah, 2018;Zhou et al 2018.,Abdelmalik, 2019Kamel et al, 2021).…”

Section: Development Of Band Ratios and Band Algebrasmentioning

confidence: 99%

Capabilities of multispectral image in mapping and utilization of sensitive bands for characterization of waste rock dumps: A case study of a manganese mine in India

Shome

Chakraborty

Dhar

et al. 2022

Preprint

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Waste dump management is one of the major problems in an opencast manganese mine. The problem is further compounded as the stripping ratio is very high (1:20). The key approach of waste rock dump management is the reuse or reutilization of waste in form of aggregate or m-sand, which is also the basic tenet of circular economy. For waste reutilization, the role of multispectral satellite data analysis is considered to be the best approach in order to characterize the mineral content of the dump. The behavior of the spectral signature curves and its association with the surface reflectance (SR) values of multispectral data (Landsat 9 OLI) is used for determining the sensitive bands. Methods such as Object-Oriented Principal Components Analysis (PCA) and Independent Components Analysis (ICA) are used to study rock-mineral interactions. Formulas representing the optimal band ratio are also develop for precise mineral mapping. X-ray diffraction is used to identify the mineral constituents of the rocks. The integration of sensitive bands and incorporation of three methods (Band ratio, PCA and ICA) serve as the main objectives of the present study. The methods are applied to a opencast manganese ore mine in India to establish the sensitive bands for muscovite schists and gneissic rocks in the hanging wall and footwall face respectively. The spectral signature reflectance curves obtained from the multispectral data of the identified minerals are compared with the USGS spectral libraries to determine the sensitive bands (Bands 4, 5, 6, and 7) for rocks. False color composite images (FCC) in the RGB band combination (PC4-PC3-PC1) and (IC4-IC2-IC1) are utilized for precise mineral mapping of the study area. The methods are also validated (positive correlation R2 = 0.775) with the waste rock dumps of the same mine and also with the neighboring mine having similar geological origin.

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“…In North Africa, Adiri et al [63] combined Landsat and ASTER data to map sedimentary rocks in Morocco. Lamri et al [64] combined airborne magnetic and gamma-ray spectrometry data with ASTER data to map geology in a hardly accessible area in Saharan Africa. Integration of the two data sets allowed mapping of the Paleozoic and aeolian sand sedimentary cover, and the underlying granitoids.…”

Section: Lithologic Mapping With Aster and Other Remote Sensing Datamentioning

confidence: 99%

Twenty Years of ASTER Contributions to Lithologic Mapping and Mineral Exploration

Abrams

Yamaguchi

2019

Remote Sensing

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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.

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Satellite imagery and airborne geophysics for geologic mapping of the Edembo area, Eastern Hoggar (Algerian Sahara)

Cited by 31 publications

References 29 publications

Spaceborne, UAV and ground-based remote sensing techniques for landslide mapping, monitoring and early warning

Spaceborne, UAV and ground-based remote sensing techniques for landslide mapping, monitoring and early warning

Capabilities of multispectral image in mapping and utilization of sensitive bands for characterization of waste rock dumps: A case study of a manganese mine in India

Twenty Years of ASTER Contributions to Lithologic Mapping and Mineral Exploration

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