Detection of Alteration Induced by Onshore Gas Seeps from ASTER and WorldView-2 Data

Hydrocarbon seeps cause chemical and mineralogical changes at the surface, which can be detected by remote sensing. This paper aims at the detection of mineral alteration induced by gas seeps in a marly limestone formation, SW Iran. For this purpose, the multispectral Advance Spaceborne Thermal Emis...

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Main Authors: Sanaz Salati, Frank van Ruitenbeek, Freek van der Meer, Babak Naimi
Format: Article
Language:English
Published: MDPI AG 2014-04-01
Series:Remote Sensing
Subjects:
Online Access:http://www.mdpi.com/2072-4292/6/4/3188
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spelling doaj-e23052e0b66e47d68accb6b54c387f972020-11-24T22:57:47ZengMDPI AGRemote Sensing2072-42922014-04-01643188320910.3390/rs6043188rs6043188Detection of Alteration Induced by Onshore Gas Seeps from ASTER and WorldView-2 DataSanaz Salati0Frank van Ruitenbeek1Freek van der Meer2Babak Naimi3Faculty of Geo-information science and earth Observation (ITC), University of Twente, P.O. Box 6, Enschede 7500 AA, The NetherlandsFaculty of Geo-information science and earth Observation (ITC), University of Twente, P.O. Box 6, Enschede 7500 AA, The NetherlandsFaculty of Geo-information science and earth Observation (ITC), University of Twente, P.O. Box 6, Enschede 7500 AA, The NetherlandsImperial College London, Silwood Park Campus, Bukhurst Road, Ascot SL5 7PY, Berks, UKHydrocarbon seeps cause chemical and mineralogical changes at the surface, which can be detected by remote sensing. This paper aims at the detection of mineral alteration induced by gas seeps in a marly limestone formation, SW Iran. For this purpose, the multispectral Advance Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and the high spatial resolution WorldView-2 (WV-2) data were utilized for mapping surficial rock alteration. In addition, the potential of Visible Near Infrared (VNIR) bands of the WV-2 and its high spatial resolution for mapping alterations was determined. Band ratioing, principal component analysis (PCA), data fusion and the boosted regression trees (BRT) were applied to enhance and classify the altered and unaltered marly limestone formation. The alteration zones were identified and mapped by remote sensing analyses. Integrating the WV-2 into the ASTER data improved the spatial accuracy of the BRT classifications. The results showed that the BRT classification of the multiple band imagery (created from ASTER and WV-2) using regions of interest (ROIs) around field data provides the best discrimination between altered and unaltered areas. It is suggested that the WV-2 dataset can provide a potential tool along higher spectral resolution data for mapping alteration minerals related to hydrocarbon seeps in arid and semi-arid areas.http://www.mdpi.com/2072-4292/6/4/3188hydrocarbon seepalteration mineralASTERWorldView-2boosted regression trees (BRT) classification
collection DOAJ
language English
format Article
sources DOAJ
author Sanaz Salati
Frank van Ruitenbeek
Freek van der Meer
Babak Naimi
spellingShingle Sanaz Salati
Frank van Ruitenbeek
Freek van der Meer
Babak Naimi
Detection of Alteration Induced by Onshore Gas Seeps from ASTER and WorldView-2 Data
Remote Sensing
hydrocarbon seep
alteration mineral
ASTER
WorldView-2
boosted regression trees (BRT) classification
author_facet Sanaz Salati
Frank van Ruitenbeek
Freek van der Meer
Babak Naimi
author_sort Sanaz Salati
title Detection of Alteration Induced by Onshore Gas Seeps from ASTER and WorldView-2 Data
title_short Detection of Alteration Induced by Onshore Gas Seeps from ASTER and WorldView-2 Data
title_full Detection of Alteration Induced by Onshore Gas Seeps from ASTER and WorldView-2 Data
title_fullStr Detection of Alteration Induced by Onshore Gas Seeps from ASTER and WorldView-2 Data
title_full_unstemmed Detection of Alteration Induced by Onshore Gas Seeps from ASTER and WorldView-2 Data
title_sort detection of alteration induced by onshore gas seeps from aster and worldview-2 data
publisher MDPI AG
series Remote Sensing
issn 2072-4292
publishDate 2014-04-01
description Hydrocarbon seeps cause chemical and mineralogical changes at the surface, which can be detected by remote sensing. This paper aims at the detection of mineral alteration induced by gas seeps in a marly limestone formation, SW Iran. For this purpose, the multispectral Advance Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and the high spatial resolution WorldView-2 (WV-2) data were utilized for mapping surficial rock alteration. In addition, the potential of Visible Near Infrared (VNIR) bands of the WV-2 and its high spatial resolution for mapping alterations was determined. Band ratioing, principal component analysis (PCA), data fusion and the boosted regression trees (BRT) were applied to enhance and classify the altered and unaltered marly limestone formation. The alteration zones were identified and mapped by remote sensing analyses. Integrating the WV-2 into the ASTER data improved the spatial accuracy of the BRT classifications. The results showed that the BRT classification of the multiple band imagery (created from ASTER and WV-2) using regions of interest (ROIs) around field data provides the best discrimination between altered and unaltered areas. It is suggested that the WV-2 dataset can provide a potential tool along higher spectral resolution data for mapping alteration minerals related to hydrocarbon seeps in arid and semi-arid areas.
topic hydrocarbon seep
alteration mineral
ASTER
WorldView-2
boosted regression trees (BRT) classification
url http://www.mdpi.com/2072-4292/6/4/3188
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