Cocientes de bandas espectrales ASTER para la diferenciación litológica en formas del relieve de baja pendiente (NW de la Cuenca del Duero, León, España)

  1. Eduardo García-Meléndez 1
  2. Arturo Báscones 1
  3. Montserrat Ferrer Julià 1
  4. Mercedes Suárez 2
  5. Elena Colmenero Hidalgo 1
  6. Juncal Altagracia Cruz Martinez 1
  7. Inés Pereira 1
  1. 1 Universidad de León
    info
    Universidad de León

    León, España

    ROR https://ror.org/02tzt0b78

    Geographic location of the organization Universidad de León
  2. 2 Universidad de Salamanca
    info
    Universidad de Salamanca

    Salamanca, España

    ROR https://ror.org/02f40zc51

    Geographic location of the organization Universidad de Salamanca
Journal:
Geogaceta

ISSN: 0213-683X

Year of publication: 2023

Issue: 73

Pages: 79-82

Type: Article

DOI: 10.55407/GEOGACETA95486 DIALNET GOOGLE SCHOLAR lock_openOpen access editor

More publications in: Geogaceta

Sustainable development goals

info

SDG classification obtained using Aurora SDG artificial intelligence model.

Abstract

In this study ASTER (Advanced Spaceborne Thermal Emission and Reflection Radiometer) images are used for mapping purposes associated with mineral compositions in flat and gently sloping free crop cultivated areas in the northwestern Duero Basin. Several image band ratios have been applied to the ASTER multispectral dataset corresponding to the visible and near-infrared (VNIR) and to the short-wave infrared (SWIR) wavelengths. These band ratios enhance the absorption features related to both electronic and vibrational processes corresponding to iron oxides minerals and phyllosilicates minerals respectively. The results obtained show that in the northern and westernmost areas with Paleozoic basement, Neogene and Plio-Quaternary sediments, iron oxides minerals are more frequent. On the other hand, in the easternmost area, characterized by the Quaternary Tuerto and Órbigo river terraces, extensive areas show the existence of Al-bearing phyllosilicates. These results add information for geological, lithological and mineral prospection mapping in almost flat areas, where outcrops are scarce.