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Fully polarimetric ALOS PALSAR data to aid geological mapping in densely vegetated areas

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dc.contributor.author Engelbrecht, Jeanine
dc.date.accessioned 2017-05-02T09:10:21Z
dc.date.available 2017-05-02T09:10:21Z
dc.date.issued 2016-08
dc.identifier.citation Engelbrecht, J. 2016. Fully polarimetric ALOS PALSAR data to aid geological mapping in densely vegetated areas. In: 35th International Geological Congress, 27 August - 4 September 2016, Cape Town, South Africa en_US
dc.identifier.uri https://www.americangeosciences.org/sites/default/files/igc/1754.pdf
dc.identifier.uri http://hdl.handle.net/10204/9003
dc.description 35th International Geological Congress, 27 August - 4 September 2016, Cape Town, South Africa en_US
dc.description.abstract The analysis of image data from space-borne or airborne sensors has been widely used to aid geological mapping. The advantages of using remotely sensed data are numerous and include the fact that large areas can be observed in a single observation. Satellite data are generally used for base-map creation prior to field mapping campaigns. Furthermore, the data can be used to identify areas with a high potential of being mineralised and, in this way, aids with mineral exploration campaigns. Generally, remote sensing investigations for the extraction of geological information involves the use of multispectral data captured in the visible and near infrared (VNIR), shortwave infrared (SWIR) and thermal infrared (TIR) portions of the electromagnetic spectrum (EMS). Sensors capturing SWIR and TIR data are considered to be ideally suited for geological interpretations since, at these wavelengths, the reflection of radiation is dependent of the chemical composition of the surface being observed. Therefore, characteristic absorption and reflectance patterns for specific wavelength ranges can be diagnostic of specific rocktypes. en_US
dc.language.iso en en_US
dc.publisher American Geosciences Institute en_US
dc.relation.ispartofseries Workflow;18019
dc.subject SAR polarimetry en_US
dc.subject Geological mapping en_US
dc.title Fully polarimetric ALOS PALSAR data to aid geological mapping in densely vegetated areas en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Engelbrecht, J. (2016). Fully polarimetric ALOS PALSAR data to aid geological mapping in densely vegetated areas. American Geosciences Institute. http://hdl.handle.net/10204/9003 en_ZA
dc.identifier.chicagocitation Engelbrecht, Jeanine. "Fully polarimetric ALOS PALSAR data to aid geological mapping in densely vegetated areas." (2016): http://hdl.handle.net/10204/9003 en_ZA
dc.identifier.vancouvercitation Engelbrecht J, Fully polarimetric ALOS PALSAR data to aid geological mapping in densely vegetated areas; American Geosciences Institute; 2016. http://hdl.handle.net/10204/9003 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Engelbrecht, Jeanine AB - The analysis of image data from space-borne or airborne sensors has been widely used to aid geological mapping. The advantages of using remotely sensed data are numerous and include the fact that large areas can be observed in a single observation. Satellite data are generally used for base-map creation prior to field mapping campaigns. Furthermore, the data can be used to identify areas with a high potential of being mineralised and, in this way, aids with mineral exploration campaigns. Generally, remote sensing investigations for the extraction of geological information involves the use of multispectral data captured in the visible and near infrared (VNIR), shortwave infrared (SWIR) and thermal infrared (TIR) portions of the electromagnetic spectrum (EMS). Sensors capturing SWIR and TIR data are considered to be ideally suited for geological interpretations since, at these wavelengths, the reflection of radiation is dependent of the chemical composition of the surface being observed. Therefore, characteristic absorption and reflectance patterns for specific wavelength ranges can be diagnostic of specific rocktypes. DA - 2016-08 DB - ResearchSpace DP - CSIR KW - SAR polarimetry KW - Geological mapping LK - https://researchspace.csir.co.za PY - 2016 T1 - Fully polarimetric ALOS PALSAR data to aid geological mapping in densely vegetated areas TI - Fully polarimetric ALOS PALSAR data to aid geological mapping in densely vegetated areas UR - http://hdl.handle.net/10204/9003 ER - en_ZA


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