Hyperspectral remote sensing monitoring of pyrite mine wastes: a record of climate variability (Pyrite Belt, Spain)
Riaza, Asuncion and Müller, Andreas (2010) Hyperspectral remote sensing monitoring of pyrite mine wastes: a record of climate variability (Pyrite Belt, Spain). Environmental Geology (61), pp. 575-594. Springer. DOI: 10.1007/s12665-009-0368-y. ISSN 0943-0105.
Full text not available from this repository.
Monitoring of mine waste on sulphide deposits through hyperspectral remote sensing data contributes to predicting surface water quality, quantitatively estimating acid drainage and metal contamination on a yearly basis. The mineralogy of surface crusts loaded with highly soluble salts is a record of available humidity and temperature along the year. A temporal monitoring of salt efflorescence on mine wastes at a mine site in the Iberian Pyrite Belt (Spain) has been mapped in this work using hyperspectral airborne Hymap data. Climate change estimations are made based on oxidation stages derived from well-known sequences of minerals tracing sulphides oxidation intensity, using archive spectral libraries. Therefore, mine-waste weathering products of sulphide mapped from airborne hyperspectral remote sensing data can be used as a shortterm record of climate change, providing a useful tool for assessing environmental geoindicators in semi-arid areas.
|Title:||Hyperspectral remote sensing monitoring of pyrite mine wastes: a record of climate variability (Pyrite Belt, Spain)|
|Journal or Publication Title:||Environmental Geology|
|In Open Access:||No|
|In ISI Web of Science:||No|
|Page Range:||pp. 575-594|
|Keywords:||Hyperspectral data, Acid mine drainage, Temporal change analysis, Geo-environmental indicators|
|HGF - Research field:||Aeronautics, Space and Transport|
|HGF - Program:||Space|
|HGF - Program Themes:||W EO - Erdbeobachtung|
|DLR - Research area:||Space|
|DLR - Program:||W EO - Erdbeobachtung|
|DLR - Research theme (Project):||W - Vorhaben Geowissenschaftl. Fernerkundungs- und GIS-Verfahren|
|Institutes and Institutions:||German Remote Sensing Data Center > Land Surface|
|Deposited By:||Andreas Müller|
|Deposited On:||12 Apr 2011 12:42|
|Last Modified:||22 Apr 2013 09:13|
Repository Staff Only: item control page