Lithological Mapping in the Eastern Desert of Egypt,wadi Um Gheig Area, Using Landsat Enhanced Thematic Mapper (Etm+)

El-Liel, Ibrahim Abu; Soliman, Nehal; Bekhiet, M. H.; Elhebiry, Mohamed S.

doi:10.21608/absb.2014.22608

Cited by 4 publications

(3 citation statements)

References 18 publications

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“…Notably, the eastern plateau showed anomalously high daytime LST, with values exceeding 50 • C during summer months. This behavior can be understood in the context that the main lithological settings of this plateau are igneous and metamorphic rocks with dark colors [77]. These dark basement rocks favor a decrease in latent heat flux, mainly due to the low albedo of the surface, enhanced by the absence of vegetation and lack of soil moisture and, accordingly, less evaporative cooling [32].…”

Section: Discussionmentioning

confidence: 93%

An Assessment of the Accuracy of MODIS Land Surface Temperature over Egypt Using Ground-Based Measurements

2019

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Space-based data have provided important advances in understanding climate systems and processes in arid and semi-arid regions, which are hot-spot regions in terms of climate change and variability. This study assessed the performance of land surface temperatures (LSTs), retrieved from the Moderate-Resolution Imaging Spectroradiometer (MODIS) Aqua platform, over Egypt. Eight-day composites of daytime and nighttime LST data were aggregated and validated against near-surface seasonal and annual observational maximum and minimum air temperatures using data from 34 meteorological stations spanning the period from July 2002 to June 2015. A variety of accuracy metrics were employed to evaluate the performance of LST, including the bias, normalized root-mean-square error (nRMSE), Yule–Kendall (YK) skewness measure, and Spearman’s rho coefficient. The ability of LST to reproduce the seasonal cycle, anomalies, temporal variability, and the distribution of warm and cold tails of observational temperatures was also evaluated. Overall, the results indicate better performance of the nighttime LSTs compared to the daytime LSTs. Specifically, while nighttime LST tended to underestimate the minimum air temperature during winter, spring, and autumn on the order of −1.3, −1.2, and −1.4 °C, respectively, daytime LST markedly overestimated the maximum air temperature in all seasons, with values mostly above 5 °C. Importantly, the results indicate that the performance of LST over Egypt varies considerably as a function of season, lithology, and land use. LST performs better during transitional seasons (i.e., spring and autumn) compared to solstices (i.e., winter and summer). The varying interactions and feedbacks between the land surface and the atmosphere, especially the differences between sensible and latent heat fluxes, contribute largely to these seasonal variations. Spatially, LST performs better in areas with sandstone formations and quaternary sediments and, conversely, shows lower accuracy in regions with limestone, igneous, and metamorphic rocks. This behavior can be expected in hybrid arid and semi-arid regions like Egypt, where bare rocks contribute to the majority of the Egyptian territory, with a lack of vegetation cover. The low surface albedo of igneous and limestone rocks may explain the remarkable overestimation of daytime temperature in these regions, compared to the bright formations of higher surface albedo (i.e., sandy deserts and quaternary rocks). Overall, recalling the limited coverage of meteorological stations in Egypt, this study demonstrates that LST obtained from the MODIS product can be trustworthily employed as a surrogate for or a supplementary source to near-surface measurements, particularly for minimum air temperature. On the other hand, some bias correction techniques should be applied to daytime LSTs. In general, the fine space-based climatic information provided by MODIS LST can be used for a detailed spatial assessment of climate variability in Egypt, with important applications in several disciplines such as water resource management, hydrological modeling, agricultural management and planning, urban climate, biodiversity, and energy consumption, amongst others. Also, this study can contribute to a better understanding of the applications of remote sensing technology in assessing climatic feedbacks and interactions in arid and semi-arid regions, opening new avenues for developing innovative algorithms and applications specifically addressing issues related to these regions.

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Section: Discussionmentioning

confidence: 93%

An Assessment of the Accuracy of MODIS Land Surface Temperature over Egypt Using Ground-Based Measurements

2019

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“…The Landsat series of satellites, operated jointly by the National Aeronautics and Space Administration (NASA) and the United States Geological Survey (USGS) [61,62], comprises Earth observation satellites equipped with multiple multispectral sensors, including a Multispectral Scanner (MSS) aboard Landsat 1-5 [63], Thematic Mapper (TM) aboard Landsat 4 and 5 [27,64], Enhanced Thematic Mapper Plus (ETM+) aboard Landsat 7 [65], Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS) aboard Landsat 8 [66], and Operational Land Imager 2 (OLI-2) and TIRS-2 aboard Landsat 9 [67], as shown in Table 1. These satellites, spanning from 1972 to the present (excluding a failed launch), capture visible, near-infrared, mid-infrared, and thermal-infrared spectra, providing valuable and abundant data for lithological mapping.…”

Section: Optical Imagerymentioning

confidence: 99%

“…Please refer to Table 2 for specific band information. The availability of this data has provided robust support for lithological mapping research [30,31,65,73,74]. Moreover, the global digital elevation model data derived from ASTER stereo image pairs, known as the ASTER GDEM (Shuttle Radar Topography Mission Global Digital Elevation Model), can be effectively utilized for band georeferencing, calibration, and shading calculations [75].…”

Section: Optical Imagerymentioning

confidence: 99%

Remote Sensing for Lithology Mapping in Vegetation-Covered Regions: Methods, Challenges, and Opportunities

Chen,

Wang,

Zhang

et al. 2023

Minerals

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Remote sensing (RS) technology has significantly contributed to geological exploration and mineral resource assessment. However, its effective application in vegetated areas encounters various challenges. This paper aims to provide a comprehensive overview of the challenges and opportunities associated with RS-based lithological identification in vegetated regions which includes the extensively reviewed prior research concerning the identification of lithology in vegetated regions, encompassing the utilized remote sensing data sources, and classification methodologies. Moreover, it offers a comprehensive overview of the application of remote sensing techniques in the domain of lithological mapping. Notably, hyperspectral RS and Synthetic Aperture Radar (SAR) have emerged as prominent tools in lithological identification. In addition, this paper addresses the limitations inherent in RS technology, including issues related to vegetation cover and terrain effects, which significantly impact the accuracy of lithological mapping. To propel further advancements in the field, the paper proposes promising avenues for future research and development. These include the integration of multi-source data to improve classification accuracy and the exploration of novel RS techniques and algorithms. In summary, this paper presents valuable insights and recommendations for advancing the study of RS-based lithological identification in vegetated areas.

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Enhancing multispectral remote sensing data interpretation for historical gold mines in Egypt: a case study from Madari gold mine

et al. 2018

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Lithological Mapping in the Eastern Desert of Egypt,wadi Um Gheig Area, Using Landsat Enhanced Thematic Mapper (Etm+)

Cited by 4 publications

References 18 publications

An Assessment of the Accuracy of MODIS Land Surface Temperature over Egypt Using Ground-Based Measurements

An Assessment of the Accuracy of MODIS Land Surface Temperature over Egypt Using Ground-Based Measurements

Remote Sensing for Lithology Mapping in Vegetation-Covered Regions: Methods, Challenges, and Opportunities

Enhancing multispectral remote sensing data interpretation for historical gold mines in Egypt: a case study from Madari gold mine

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