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Abrams ratio composition in Equation (1). Due to the broad carbonate absorption band at Remote Sens. 2022, 14, 1383 ∗ 3 7 of 22 B14 the Mafic Index is sensitive to carbonates, so an adjusted Mafic Index (MIc) has been developed to correct this effect [7]. Figure 5b displays the TIR indices over the study area. 𝑄𝐼∗ 𝐶𝐼 𝑀𝐼 𝑀𝐼𝑐 (2) Finally, the spectral information in the study area is analysed through comparison on a ternary diagram as illustrated in Figure 6. The study area is divided into square pol- ygons of 500 m by 500 m; these polygons are then used to extract the pixel statistics of the specific ASTER band naming, the Abrams ratio can be expressed as in Equation (1), where overlapping EO data (SWIR and TIR images described in Figure 5) for each polygon. Then, the three channels represent the red, green, and blue image composition. To be noted, the pixel statistics within the polygons are computed and analysed on a ternary plot. The ter- three channels can be seen as proxies for clay, iron oxide, and vegetation. Figure 5a shows nary plot created is through the open source library “plotly” in python. This is an interac- the Abrams ratio for the study area. tive tool, which allows hovering over the a point of interest on the graph and understand- plot. B04 B03 B02 ing which polygon it is through the shapefile ID and its spectral position on the ternary AI(R,G,B) = B07, B04, B01 (1) Figure 5. Spectral index maps developed over the study area. (a) SWIR Abrams ratio. RGB image channels are clay (R), iron oxide (G), and vegetation (B). (b) TIR index combination. RGB image channels are Quartz Index (QI) (R), Carbonate Index (CI) (G), and Mafic Index corrected (MIcor) (B). The longer wavelengths in the thermal infrared (TIR) are used for the detection of quartz (SiO2) and carbonate minerals. Several other indices have been developed in the literature. In this study, we also make use of the Quartz Index (QI), Carbonate Index (CI), and Mafic Index (MI) [7] and combine them in a colour composite image similarly to the Abrams ratio composition in Equation (1). Due to the broad carbonate absorption band at B14 the Mafic Index is sensitive to carbonates, so an adjusted Mafic Index (MIc) has been developed to correct this effect [7]. Figure 5b displays the TIR indices over the study area. QI=B11∗B11CI=B13MI= B2 MIc=MI (2) B10 ∗B12 B14 B13 CI3 Finally, the spectral information in the study area is analysed through comparison on a ternary diagram as illustrated in Figure 6. The study area is divided into square polygons of 500 m by 500 m; these polygons are then used to extract the pixel statistics of the overlapping EO data (SWIR and TIR images described in Figure 5) for each polygon. Then, pixel statistics within the polygons are computed and analysed on a ternary plot. The ternary plot created is through the open source library “plotly” in python. This is an interactive tool, which allows hovering over the a point of interest on the graph andPDF Image | Lithium Brine Deposit Formation
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