Landsat-8 data for Soil Moisture Mapping to Investigate the Tailing Dam Failure in Brumadinho, Brazil

Lan, Yu; Ashrafianfar, Nazemeh ORCID; Paffenholz, Jens-André ORCID

The tailing dam in Brumadinho of Brazil collapsed on 25.01.2019, it caused serious casualties and environmental pollution. The monitoring of the tailing dam stability has become an urgent problem. For monitoring, soil moisture is an important parameter, if the soil moisture is too high, it will cause soil liquefaction and then the stability of the dam will decrease. In this study, the Landsat-8 data is innovatively used to calculate index Temperature Vegetation Dryness Index (TVDI) in a mining engineering application. The data of Landsat-8 on 14.01.2019 and 30.01.2019 is applied to investigate the soil moisture of the tailing dam in Brumadinho. Based on the Normalized Difference Vegetation Index (NDVI), two algorithms are used to generate the Land Surface Temperature (LST) and then obtain the TVDI. This index is used to assess the soil moisture of the tailing dam. The obtained results show that the tailing area had high soil moisture which may had an influence on the tailing dam failure on 25.01.2019. In this study both algorithms yield the same TVDI distribution.

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Lan, Yu / Ashrafianfar, Nazemeh / Paffenholz, Jens-André: Landsat-8 data for Soil Moisture Mapping to Investigate the Tailing Dam Failure in Brumadinho, Brazil. Braunschweig 2020.

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