Temporal stability of mineral indices in a semi-arid area

Harald van der Werff, Janneke Ettema, Akhil Sampatirao, Rob Hewson

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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Abstract

The majority of geological remote sensing studies have been done in arid and semi-arid areas, leading to seamless compositional maps and a cross-continental geoscience product of Australia. A challenge remains when such products are to be made for continents with temperate and cultivated regions. For that, sensors with a continuous multitemporal operation such as Landsat 8 OLI and Sentinel-2 MSI may have to be used to reach an optimal seasonal acquisition. This paper tests the robustness of Sentinel-2 MSI spectral indices over a semi-arid area in southern Spain. Spectral indices (band ratios) for mapping green vegetation and iron oxide mineralogy were acquired over a 1-year period, which had alternating dry and wet periods. Results show that changing soil moisture and weather conditions over a period of 1 year affect the stability of spectral mineral indices.
Original languageEnglish
Title of host publication2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS
PublisherIEEE
Pages136-139
Number of pages4
ISBN (Electronic)978-1-6654-0369-6, 978-1-6654-0368-9
ISBN (Print)978-1-6654-4762-1
DOIs
Publication statusPublished - 12 Oct 2021
EventIEEE- International Geoscience and Remote Sensing Symposium- IGARSS 2021 - Brussels, Virtual Conference, Belgium
Duration: 12 Jul 202116 Jul 2021
https://igarss2021.com

Publication series

NameIEEE International Geoscience and Remote Sensing Symposium (IGARSS)
PublisherIEEE
Volume2021
ISSN (Print)2153-6996
ISSN (Electronic)2153-7003

Conference

ConferenceIEEE- International Geoscience and Remote Sensing Symposium- IGARSS 2021
Abbreviated titleIGARSS 2021
Country/TerritoryBelgium
CityVirtual Conference
Period12/07/2116/07/21
Internet address

Keywords

  • Geology
  • Minerals
  • Multi-temporal
  • Sentinel-2 MSI
  • Weather

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