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Lithological and Hydrothermal Alteration Mapping Using Terra ASTER and Landsat-8 OLI Multispectral Data in the North-Eastern Border of Kerdous Inlier, Western Anti-Atlasic Belt, Morocco Cover

Lithological and Hydrothermal Alteration Mapping Using Terra ASTER and Landsat-8 OLI Multispectral Data in the North-Eastern Border of Kerdous Inlier, Western Anti-Atlasic Belt, Morocco

Open Access
|Apr 2025

Figures & Tables

Figure 1.

Lithological map of the study area (modified from the Tanalt geological map)
Lithological map of the study area (modified from the Tanalt geological map)

Figure 2.

The methodology flowchart
The methodology flowchart

Figure 3.

Eigenvector loading trend graphical representation extracted from the first five (a) ASTER and (b) OLI PC bands from data in Tables 3 and 4
Eigenvector loading trend graphical representation extracted from the first five (a) ASTER and (b) OLI PC bands from data in Tables 3 and 4

Figure 4.

PC images of ASTER: (a) PC1; (b) PC2; (c) PC3; (d) PC4; (e) PC7
PC images of ASTER: (a) PC1; (b) PC2; (c) PC3; (d) PC4; (e) PC7

Figure 5.

PCA and MNF extracted images of: (a) OLI PC1; (b) OLI PC2; (c) OLI PC3; (d) OLI PC4; (e) OLI PC5; (f) OLI PC6; (g) ASTER MNF 1; (h) ASTER MNF 2; (i) OLI MNF1
PCA and MNF extracted images of: (a) OLI PC1; (b) OLI PC2; (c) OLI PC3; (d) OLI PC4; (e) OLI PC5; (f) OLI PC6; (g) ASTER MNF 1; (h) ASTER MNF 2; (i) OLI MNF1

Figure 6.

(a) FCC ASTER MNF1, PC4, and PC2; (b) FCC OLI MNF1, PC5 and PC3
(a) FCC ASTER MNF1, PC4, and PC2; (b) FCC OLI MNF1, PC5 and PC3

Figure 7.

Lithological classification maps: (a) MLC classification using ASTER image; (b) SVM classification using ASTER image; (c) MLC classification using OLI image; (d) SVM classification using OLI image
Lithological classification maps: (a) MLC classification using ASTER image; (b) SVM classification using ASTER image; (c) MLC classification using OLI image; (d) SVM classification using OLI image

Figure 8.

User and producer accuracies: (a) ML ASTER; (b) SVM ASTER; (c) ML OLI; (d) SVM OLI
User and producer accuracies: (a) ML ASTER; (b) SVM ASTER; (c) ML OLI; (d) SVM OLI

Figure 9.

Overall accuracy and Kappa coefficient of MLC and SVM classifications using ASTER and OLI: (a) overall accuracy; (b) Kappa coefficient
Overall accuracy and Kappa coefficient of MLC and SVM classifications using ASTER and OLI: (a) overall accuracy; (b) Kappa coefficient

Figure 10.

Resulted images of the Ninomiya spectral indices: (a) Calcite; (b) OH(a); (c) OH(b); (d) Alunite
Resulted images of the Ninomiya spectral indices: (a) Calcite; (b) OH(a); (c) OH(b); (d) Alunite

Figure 11.

Images of the Ninomiya spectral indices superimposed on the true color composite of ASTER image
Images of the Ninomiya spectral indices superimposed on the true color composite of ASTER image

Figure 12.

Laboratory reflectance spectra of hydrothermal alteration minerals from USGS spectral library (left) and spectra resampled to ASTER bands (right)
Laboratory reflectance spectra of hydrothermal alteration minerals from USGS spectral library (left) and spectra resampled to ASTER bands (right)

Figure 13.

ASTER resulting images of a high abundance of hydrothermal alteration minerals using CEM: (a) alunite; (b) chlorite; (c) calcite; (d) epidote; (e), illite; (f) kaolinite; (g), montmorillonite; (h) muscovite; (i) pyrophyllite
ASTER resulting images of a high abundance of hydrothermal alteration minerals using CEM: (a) alunite; (b) chlorite; (c) calcite; (d) epidote; (e), illite; (f) kaolinite; (g), montmorillonite; (h) muscovite; (i) pyrophyllite

Selected end-member minerals (within the mapped hydrothermally altered zones) and USGS spectra matching scores computed using the SAM method and geographic coordinates

MineralScore (%)Geographical coordinates
Alunite81.629°51'3.56"N, 9°1'16.63"W
Calcite90.329°52'17.62"N, 9°0'13.03"W
Chlorite73.329°50'20.48"N, 9°4'16.54"W
Epidote80.229°49'18.45"N, 9°2'51.28"W
Illite89.329°54'35.83"N, 8°59'56.01"W
Kaolinite91.129°49'18.45"N, 9°2'51.28"W
Montmorillonite90.129°54'35.83"N, 8°59'56.01"W
Muscovite84.629°50'48.65"N, 9°2'38.17"W
Pyrophyllite74.129°51'7.29"N, 9°1'12.16"W

Landsat-8 OLI data characteristics

BandsWavelengths (μm)Spatial resolution (m)
Band 1-coastal/aerosol0.43–0.4530
Band 2-Blue0.45–0.5130
Band 3-Green0.53–0.5930
Band 4-Red0.64–0.6715
Band 5-NIR0.85–0.8830
Band 6-SWIR 11.57–1.6530
Band 7-SWIR 22.11–2.2930
Band 8-Panchromatic0.50–0.6815
Band 9-Cirrus1.36–1.3830

PCA eigenvector matrix of OLI bands

EigenvectorsEigenvalues (%)Band 1Band 2Band 3Band 4Band 5Band 6Band 7
PC 194.505-0.09192-0.12474-0.2078-0.33462-0.48452-0.60072-0.47457
PC 23.3980.000397-0.005190.024592-0.134460.842454-0.25154-0.45639
PC 31.6200.2223550.2921380.3891180.690656-0.08932-0.46946-0.09177
PC 40.279-0.12715-0.17061-0.22221-0.037290.213198-0.586250.717502
PC 50.1760.5197820.5239610.26547-0.58028-0.01976-0.0960.196193
PC 60.018-0.44877-0.263730.815732-0.2339-0.04026-0.050460.068967
PC 70.003-0.674070.72517-0.13975-0.011320.00846-0.002930.004203

Terra ASTER data characteristics

BandsCovered SpectrumWavelengths (μm)Resolution (m)
1VNIR0.520–0.60015
2VNIR0.630–0.69015
3NVNIR0.760–0.86015
3BVNIR0.760–0.86015
4SWIR1.600–1.70030
5SWIR2.145–2.18530
6SWIR2.185–2.22530
7SWIR2.235–2.28530
8SWIR2.295–2.36530
9SWIR2.365–2.43030
10TIR8.125–8.47590
11TIR8.475–8.82590
12TIR8.925–9.27590
13TIR10.25–10.9590
14TIR10.95–11.6590

PCA eigenvector matrix of ASTER bands

EigenvectorsEigenvalues (%)Band 1Band 2Band 3Band 4Band 5Band 6Band 7Band 8Band 9
PC 183.49-0.2073-0.3643-0.3000-0.4017-0.3157-0.3159-0.3434-0.3354-0.3779
PC 28.610.31570.36200.67600.0359-0.1632-0.2192-0.2168-0.2680-0.3425
PC 33.95-0.3816-0.55500.34120.59350.11250.06290.0189-0.1203-0.2144
PC 42.310.21980.2946-0.56000.50470.1437-0.03750.0426-0.1342-0.5046
PC 50.540.2128-0.14460.0484-0.29070.27300.7915-0.1968-0.1344-0.2983
PC 60.40.1262-0.20030.1268-0.29200.1665-0.22610.52040.4782-0.5139
PC 70.34-0.77250.52730.0629-0.16360.09050.14340.1037-0.0191-0.2333
PC 80.200.0066-0.02440.0206-0.16570.8205-0.3631-0.0296-0.37490.1572
PC 90.15-0.07220.03950.00200.07850.2378-0.1289-0.71520.6287-0.0825
DOI: https://doi.org/10.2478/arsa-2025-0002 | Journal eISSN: 2083-6104 | Journal ISSN: 1509-3859
Language: English
Page range: 14 - 36
Submitted on: Oct 21, 2024
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Accepted on: Mar 28, 2025
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Published on: Apr 19, 2025
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2025 Amine JELLOULI, Mohcine CHAKOURI, Zakaria ADIRI, Jaouad EL HACHIMI, Abdessamad JARI, published by Polish Academy of Sciences, Space Research Centre
This work is licensed under the Creative Commons Attribution 4.0 License.