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High resolution airborne thermal infrared remote sensing study, Silali geothermal prospect, Kenya

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dc.contributor KenGen is
dc.contributor Geothermal Development Company Ltd. is
dc.contributor Jarðhitaskóli Háskóla Sameinuðu þjóðanna is
dc.contributor United Nations University is
dc.contributor United Nations University, Geothermal Training Programme is
dc.contributor.author Mutua, J. is
dc.contributor.author Friese, A. is
dc.contributor.author Kuehn, F. is
dc.contributor.author Lopeyok, Tito Plimo is
dc.contributor.author Mutonga, Marietta W. is
dc.contributor.author Ochmann, N. is
dc.date.accessioned 2017-12-06T13:12:17Z
dc.date.available 2017-12-06T13:12:17Z
dc.date.issued 2016
dc.identifier.issn 1670-794x
dc.identifier.uri http://hdl.handle.net/10802/13885
dc.description Presented at SDG Short Course I on Exploration and Development of Geothermal Resources, organized by UNU-GTP, GDC and KenGen, at Lake Bogoria and Lake Naivasha, Kenya, Nov. 10-31, 2016. is
dc.description.abstract Airborne high-resolution thermal infrared (TIR) remote sensing has proven to be an effective method for mapping surface spatial temperature patterns. As geothermal energy continues to be a source of safe, reliable and renewable source of energy world over, TIR remote sensing has formed a key component of geothermal exploration. When combined with other spatial datasets, the TIR data showed areas of thermal influence resulting from geothermal activity associated with point, area and linear sources such as fumaroles, hot ground, fissures and faults. This paper describes the image acquisition and processing methodology, of high-resolution airborne thermography conducted over 2000 km2 within the Silali geothermal prospect. The objective of the study was to characterize the geothermal features for further focused geothermal exploration studies. is
dc.format.extent 1 rafrænt gagn (10 bls.). is
dc.language.iso en
dc.publisher United Nations University is
dc.relation.ispartof 991008983279706886
dc.relation.ispartofseries United Nations University., UNU Geothermal Training Programme, Iceland. Short Course ; SC-23
dc.relation.uri http://os.is/gogn/unu-gtp-sc/UNU-GTP-SC-23-0204.pdf
dc.subject Jarðhiti is
dc.subject Jarðhitaleit is
dc.subject Fjarkönnun is
dc.subject Kenía is
dc.title High resolution airborne thermal infrared remote sensing study, Silali geothermal prospect, Kenya en
dc.type Tímaritsgrein is
dc.identifier.gegnir 991008989569706886


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