Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Application of optical and radar data for lineaments mapping in Kerdous inlier of the Anti Atlas belt, Morocco

View through CrossRef
<p>Lineament mapping is an important step for lithological and hydrothermal alterations mapping. It is considered as an efficient research task which can be a part of structural investigation and mineral ore deposits identification. The availability of optical as well as radar remote sensing data, such as Landsat 8 OLI, Terra ASTER and ALOS PALSAR data, allows lineaments mapping at regional and national scale. The accuracy of the obtained results depends strongly on the spatial and spectral resolution of the data. The aim of this study was to compare Landsat 8 OLI, Terra ASTER, and radar ALOS PALSAR satellite data for automatic and manual lineaments extraction. The module Line of PCI Geomatica software was applied on PC1 OLI, PC3 ASTER and HH and HV polarization images to automatically extract geological lineaments. However, the manual extraction was achieved using the RGB color composite of the directional filtered images N - S (0°), NE - SW (45°) and E - W (90°) of the OLI panchromatic band 8. The obtained lineaments from automatic and manual extraction were compared against the faults and photo-geological lineaments digitized from the existing geological map of the study area. The extracted lineaments from PC1 OLI and ALOS PALSAR polarizations images showed the best correlation with faults and photo-geological lineaments. The results indicate that the lineaments extracted from HH and HV polarizations of ALOS PALSAR radar data used in this study, with 1499 and 1507 extracted lineaments, were more efficient for structural lineament mapping, as well as the PC1 OLI image with 1057 lineaments.</p><p><strong>Keywords</strong> Remote Sensing . OLI. ALOS PALSAR . ASTER . Kerdous Inlier . Anti Atlas</p>
Title: Application of optical and radar data for lineaments mapping in Kerdous inlier of the Anti Atlas belt, Morocco
Description:
<p>Lineament mapping is an important step for lithological and hydrothermal alterations mapping.
It is considered as an efficient research task which can be a part of structural investigation and mineral ore deposits identification.
The availability of optical as well as radar remote sensing data, such as Landsat 8 OLI, Terra ASTER and ALOS PALSAR data, allows lineaments mapping at regional and national scale.
The accuracy of the obtained results depends strongly on the spatial and spectral resolution of the data.
The aim of this study was to compare Landsat 8 OLI, Terra ASTER, and radar ALOS PALSAR satellite data for automatic and manual lineaments extraction.
The module Line of PCI Geomatica software was applied on PC1 OLI, PC3 ASTER and HH and HV polarization images to automatically extract geological lineaments.
However, the manual extraction was achieved using the RGB color composite of the directional filtered images N - S (0°), NE - SW (45°) and E - W (90°) of the OLI panchromatic band 8.
The obtained lineaments from automatic and manual extraction were compared against the faults and photo-geological lineaments digitized from the existing geological map of the study area.
The extracted lineaments from PC1 OLI and ALOS PALSAR polarizations images showed the best correlation with faults and photo-geological lineaments.
The results indicate that the lineaments extracted from HH and HV polarizations of ALOS PALSAR radar data used in this study, with 1499 and 1507 extracted lineaments, were more efficient for structural lineament mapping, as well as the PC1 OLI image with 1057 lineaments.
</p><p><strong>Keywords</strong> Remote Sensing .
OLI.
ALOS PALSAR .
ASTER .
Kerdous Inlier .
Anti Atlas</p>.

Related Results

Mapping lineaments using Landsat 8 OLI and SRTM in the Boumalne-Imiter regions of the southern Central High Atlas. Morocco
Mapping lineaments using Landsat 8 OLI and SRTM in the Boumalne-Imiter regions of the southern Central High Atlas. Morocco
Abstract This work presents the results of the automatic extraction of lineaments in the region of Boumalne-Imiter, which is located on the southern front of the Central Hi...
Rendering lineament induced stream alignment in Upper Krishna Basin, India: a geospatial approach
Rendering lineament induced stream alignment in Upper Krishna Basin, India: a geospatial approach
AbstractLineaments play an important role in drainage development, stream alignment and groundwater recharge. These are traced as surface or subsurface feature. A linear feature th...
Mapping Geologic Structures from Gravity and Digital Elevation Model in the Ziway-Shala Lakes Basin; central Main Ethiopian Rift
Mapping Geologic Structures from Gravity and Digital Elevation Model in the Ziway-Shala Lakes Basin; central Main Ethiopian Rift
Abstract This study attempts to delineate subsurface lineaments for the tectonically and volcanically active region of the Ziway-Shala Lakes basin, central Main Ethiopian r...
ANALISIS KETAHANAN UMUR V-BELT KENDARAAN BUS KAPASITAS MESIN 7684 CC REAR ENGINE
ANALISIS KETAHANAN UMUR V-BELT KENDARAAN BUS KAPASITAS MESIN 7684 CC REAR ENGINE
Analisa ketahanan umur v-belt kendaraan bus kapasitas 7684 cc Rear Engine. v-belt yang digunakan adalah jenis COG dengan tipe C ( 22 x 14 ). Ada beberapa faktor yang mempengaruhi u...
Rendering Lineament Induced Stream alignment in Upper Krishna Basin, India: A Geospatial Approach
Rendering Lineament Induced Stream alignment in Upper Krishna Basin, India: A Geospatial Approach
Abstract Lineaments play an important role in drainage development, stream alignment and groundwater recharge. These are traced as surface or subsurface features. A linear ...
Metallized Plastic Waveguide Antenna Solutions for Next-Generation Automotive Radar Systems
Metallized Plastic Waveguide Antenna Solutions for Next-Generation Automotive Radar Systems
The automotive industry has significantly focused on developing reliable driving assistance systems, with radar sensors emerging as key components for autonomous driving, thanks to...
RADAR-Pipeline: Scalable Feature Generation for Mobile Health Data
RADAR-Pipeline: Scalable Feature Generation for Mobile Health Data
Introduction & BackgroundRADAR-Pipeline is an open-source Python framework designed to simplify and enhance mobile health data analysis. It has been designed to efficiently rea...

Back to Top