Assessing image processing techniques for geological mapping: a case study in Eljufra, Libya

Saadi, Nureddin M.; Watanabe, Kenji

doi:10.1080/10106040802556199

Cited by 17 publications

(11 citation statements)

References 19 publications

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“…Landsat TM images have been used with mixed success to map igneous and metamorphic units (e.g., [11,[13][14][15][16][17]), as well as clastic, carbonate, and evaporitic lithologies (e.g., [18][19][20][21][22]). TM data have been applied with some success in the mapping of prominent zones of mineral alteration such as those marked by the presence of abundant oxides and hydroxides (e.g., [23,24]).…”

Section: Discrimination Of Rock Types Using Multispectral Remote Sensmentioning

confidence: 99%

Landsat-TM-Based Discrimination of Lithological Units Associated with the Purtuniq Ophiolite, Quebec, Canada

Leverington

Moon

2012

Remote Sensing

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Abstract:In order to better constrain the utility of multispectral datasets in the characterization of surface materials, Landsat Thematic Mapper (TM) data were evaluated in the discrimination of geological classes in the Cape Smith Belt of Quebec, a greenstone belt that hosts Early Proterozoic units including those of the Purtuniq ophiolite. Ground-based measurements collected for the study area highlight the importance of chemical alteration in controlling the reflectance properties of key geological classes. The spatial distribution of exposed lithologies in the study area was determined through (1) image classification using a feedforward backpropagation neural network classifier; and (2) generation of fraction images for spectral end members using a linear unmixing algorithm and ground reflectance data. Despite some shortcomings, the database of surface cover generated by the neural network classifier is a useful representation of the spatial distribution of exposed geological materials in the study area, with an overall agreement with ground truth of 87.7%. In contrast, the fraction images generated through unmixing are poor representations of ground truth for several key lithological classes. These results underscore both the considerable utility and marked limitations of Landsat TM data in the mapping of igneous and metamorphic lithologies.

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Section: Discrimination Of Rock Types Using Multispectral Remote Sensmentioning

confidence: 99%

Landsat-TM-Based Discrimination of Lithological Units Associated with the Purtuniq Ophiolite, Quebec, Canada

Leverington

Moon

2012

Remote Sensing

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“…Lineaments can also reflect subsurface structures as well although they are surficial topographic features. The Gradient-Sobel was selected as suitable filter for edge detection the directional nature of Sobel kernels because this filter generates an effective and faster way to evaluate lineaments in four principal directions (Saadi et al 2009). The Terra SAR-X image is unlike an optical image because it appears noisier than an optical image.…”

Section: Structural Layersmentioning

confidence: 99%

Geospatial susceptibility mapping of earthquake-induced landslides in Nuweiba area, Gulf of Aqaba, Egypt

et al. 2016

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“…It is evident that a combined use of the optical and SAR images will have a number of advantages because a specific feature which is not seen on the passive sensor image might be seen on the microwave image and vice versa because of the complementary information provided by the two sources [17][18][19]. Many authors have proposed and applied different techniques to combine optical and SAR images in order to enhance various features, and they all judged that the results from the fused images were better than the results obtained from the individual images [9,14,[20][21][22][23][24][25][26].…”

Section: Image Fusionmentioning

confidence: 99%

Applications of GIS and Very High-Resolution RS Data for Urban Land Use Change Studies in Mongolia

Amarsaikhan

Vandansambuu

Egshiglen

et al. 2011

International Journal of Navigation and Observation

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The aim of this study is to analyze the urban land use changes occurred in the central part of Ulaanbaatar, the capital city of Mongolia, from 1930 to 2008 with a 10-year interval using geographical information system (GIS) and very high-resolution remote sensing (RS) data sets. As data sources, a large-scale topographic map, panchromatic and multispectral Quickbird images, and TerraSAR synthetic aperture radar (SAR) data are used. The primary urban land use database is developed using the topographic map of the study area and historical data about buildings. To extract updated land use information from the RS images, Quickbird and TerraSAR images are fused. For the fusion, ordinary and special image fusion techniques are used and the results are compared. For the final land use change analysis and RS image processing, ArcGIS and Erdas imagine systems installed in a PC environment are used. Overall, the study demonstrates that within the last few decades the central part of Ulaanbaatar city is urbanized very rapidly and became very dense.

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Assessing image processing techniques for geological mapping: a case study in Eljufra, Libya

Cited by 17 publications

References 19 publications

Landsat-TM-Based Discrimination of Lithological Units Associated with the Purtuniq Ophiolite, Quebec, Canada

Landsat-TM-Based Discrimination of Lithological Units Associated with the Purtuniq Ophiolite, Quebec, Canada

Geospatial susceptibility mapping of earthquake-induced landslides in Nuweiba area, Gulf of Aqaba, Egypt

Applications of GIS and Very High-Resolution RS Data for Urban Land Use Change Studies in Mongolia

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