Analyses of Recent Sediment Surface Dynamic of a Namibian Kalahari Salt Pan Based on Multitemporal Landsat and Hyperspectral Hyperion Data

This study combines spaceborne multitemporal and hyperspectral data to analyze the spatial distribution of surface evaporite minerals and changes in a semi-arid depositional environment associated with episodic flooding events, the Omongwa salt pan (Kalahari, Namibia). The dynamic of the surface cru...

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Main Authors: Robert Milewski, Sabine Chabrillat, Robert Behling
Format: Article
Language:English
Published: MDPI AG 2017-02-01
Series:Remote Sensing
Subjects:
Online Access:http://www.mdpi.com/2072-4292/9/2/170
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spelling doaj-b55ffba935b44bc7a178f8b8f48a7dd02020-11-24T21:01:40ZengMDPI AGRemote Sensing2072-42922017-02-019217010.3390/rs9020170rs9020170Analyses of Recent Sediment Surface Dynamic of a Namibian Kalahari Salt Pan Based on Multitemporal Landsat and Hyperspectral Hyperion DataRobert Milewski0Sabine Chabrillat1Robert Behling2GFZ German Research Centre for Geosciences, Telegrafenberg, D-14473 Potsdam, GermanyGFZ German Research Centre for Geosciences, Telegrafenberg, D-14473 Potsdam, GermanyGFZ German Research Centre for Geosciences, Telegrafenberg, D-14473 Potsdam, GermanyThis study combines spaceborne multitemporal and hyperspectral data to analyze the spatial distribution of surface evaporite minerals and changes in a semi-arid depositional environment associated with episodic flooding events, the Omongwa salt pan (Kalahari, Namibia). The dynamic of the surface crust is evaluated by a change-detection approach using the Iterative-reweighted Multivariate Alteration Detection (IR-MAD) based on the Landsat archive imagery from 1984 to 2015. The results show that the salt pan is a highly dynamic and heterogeneous landform. A change gradient is observed from very stable pan border to a highly dynamic central pan. On the basis of hyperspectral EO-1 Hyperion images, the current distribution of surface evaporite minerals is characterized using Spectral Mixture Analysis (SMA). Assessment of field and image endmembers revealed that the pan surface can be categorized into three major crust types based on diagnostic absorption features and mineralogical ground truth data. The mineralogical crust types are related to different zones of surface change as well as pan morphology that influences brine flow during the pan inundation and desiccation cycles. These combined information are used to spatially map depositional environments where the more dynamic halite crust concentrates in lower areas although stable gypsum and calcite/sepiolite crusts appear in higher elevated areas.http://www.mdpi.com/2072-4292/9/2/170salt panplayahyperspectralmultitemporalchange detectionevaporite minerals
collection DOAJ
language English
format Article
sources DOAJ
author Robert Milewski
Sabine Chabrillat
Robert Behling
spellingShingle Robert Milewski
Sabine Chabrillat
Robert Behling
Analyses of Recent Sediment Surface Dynamic of a Namibian Kalahari Salt Pan Based on Multitemporal Landsat and Hyperspectral Hyperion Data
Remote Sensing
salt pan
playa
hyperspectral
multitemporal
change detection
evaporite minerals
author_facet Robert Milewski
Sabine Chabrillat
Robert Behling
author_sort Robert Milewski
title Analyses of Recent Sediment Surface Dynamic of a Namibian Kalahari Salt Pan Based on Multitemporal Landsat and Hyperspectral Hyperion Data
title_short Analyses of Recent Sediment Surface Dynamic of a Namibian Kalahari Salt Pan Based on Multitemporal Landsat and Hyperspectral Hyperion Data
title_full Analyses of Recent Sediment Surface Dynamic of a Namibian Kalahari Salt Pan Based on Multitemporal Landsat and Hyperspectral Hyperion Data
title_fullStr Analyses of Recent Sediment Surface Dynamic of a Namibian Kalahari Salt Pan Based on Multitemporal Landsat and Hyperspectral Hyperion Data
title_full_unstemmed Analyses of Recent Sediment Surface Dynamic of a Namibian Kalahari Salt Pan Based on Multitemporal Landsat and Hyperspectral Hyperion Data
title_sort analyses of recent sediment surface dynamic of a namibian kalahari salt pan based on multitemporal landsat and hyperspectral hyperion data
publisher MDPI AG
series Remote Sensing
issn 2072-4292
publishDate 2017-02-01
description This study combines spaceborne multitemporal and hyperspectral data to analyze the spatial distribution of surface evaporite minerals and changes in a semi-arid depositional environment associated with episodic flooding events, the Omongwa salt pan (Kalahari, Namibia). The dynamic of the surface crust is evaluated by a change-detection approach using the Iterative-reweighted Multivariate Alteration Detection (IR-MAD) based on the Landsat archive imagery from 1984 to 2015. The results show that the salt pan is a highly dynamic and heterogeneous landform. A change gradient is observed from very stable pan border to a highly dynamic central pan. On the basis of hyperspectral EO-1 Hyperion images, the current distribution of surface evaporite minerals is characterized using Spectral Mixture Analysis (SMA). Assessment of field and image endmembers revealed that the pan surface can be categorized into three major crust types based on diagnostic absorption features and mineralogical ground truth data. The mineralogical crust types are related to different zones of surface change as well as pan morphology that influences brine flow during the pan inundation and desiccation cycles. These combined information are used to spatially map depositional environments where the more dynamic halite crust concentrates in lower areas although stable gypsum and calcite/sepiolite crusts appear in higher elevated areas.
topic salt pan
playa
hyperspectral
multitemporal
change detection
evaporite minerals
url http://www.mdpi.com/2072-4292/9/2/170
work_keys_str_mv AT robertmilewski analysesofrecentsedimentsurfacedynamicofanamibiankalaharisaltpanbasedonmultitemporallandsatandhyperspectralhyperiondata
AT sabinechabrillat analysesofrecentsedimentsurfacedynamicofanamibiankalaharisaltpanbasedonmultitemporallandsatandhyperspectralhyperiondata
AT robertbehling analysesofrecentsedimentsurfacedynamicofanamibiankalaharisaltpanbasedonmultitemporallandsatandhyperspectralhyperiondata
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