Application of Remote-Sensing Data in Geochemical Studies of Soils of the Yertis River Basin Within East Kazakhstan
27 lut 2024
O artykule
Data publikacji: 27 lut 2024
Zakres stron: 157 - 164
Otrzymano: 17 kwi 2023
DOI: https://doi.org/10.14746/quageo-2024-0009
Słowa kluczowe
© 2024 Meruyert M. Ulykpanova et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Fig. 1.

Fig. 2.

Fig. 3.

Fig. 4.

Statistical parameters of the content of elements in the soils of the basin_
Parameters | X±Sx | lim | σ | CV, % | n |
---|---|---|---|---|---|
Cu | 12.809±3.155 | 0.14–48.3 | 14.104 | 110.1 | 15 |
Zn | 15.98±3.747 | 0.31–65.6 | 16.748 | 104.8 | 15 |
Pb | 22.036±4.395 | 0.16–98.9 | 19.648 | 89.2 | 15 |
Spectral indices_
No | Name of indexes | Index formulas |
---|---|---|
1 | Clay minerals | Claymineralsratio = SWIR_1/SWIR_2 |
2 | Iron oxides | IronOxideRatio = Red/Blue |
3 | Carbonates | Carbonateratio = TIRS_1/TIRS_2 |