Hyperspectral imagery has been able to distinguish paleoflooded areas related to a receding wetland due to differential mineralogical content associated with variable humidity in the past, and palustrine and fluvial processes, through maps performed using hyperspectral image processing. Gypsum, carbonate and organic matter are paleoclimate indicators spectrally recorded by the imagery in the visible and near infrared. Saline soils with gypsum, both on occasionally flooded areas adjacent to shallow river bands and on mudflats around standing water pools, have been mapped using DAIS data. Originally deeper areas, rich in organic matter where marshes develop at times of low water movement, are also shown. Sediments permanently exposed to the atmosphere dehydrate and oxidize, developing different mineralogical associations. Increase of the iron oxide/hydroxide rate and decarbonation can be spectrally followed on the sands framing the now‐marshy area. A general outline of the past pools is drawn in the area surrounding the actual marsh, providing invaluable data to use in further paleoclimate limnological research and in the development of new techniques for this research. Therefore, hyperspectral imagery is a new tool to estimate paleogeographical processes in wetland environmental studies.
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Document Type: Research Article
Instituto Geológico y Minero de España (IGME), Rios Rosas 23, 28003 Madrid, Spain
Area de Geodinámica Externa, Facultad de Ciencias Ambientales, Universidad de León, Campus de Vegazana s/n, 24071 – León, Spain
Departamento de Geología, Universidad de Salamanca, Pza. de la Merced s/n, 37008 Salamanca, Spain
DLR, German Aerospace Research Establishment, Remote Sensing Data Centre, Oberpfaffenhofen, Postfach 1116, 82230 Weßling, Germany
Publication date: 2005-10-20
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