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Optimal sampling schemes for vegetation and geological field visits

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dc.contributor.author Debba, Pravesh
dc.date.accessioned 2012-07-17T13:05:17Z
dc.date.available 2012-07-17T13:05:17Z
dc.date.issued 2012-07
dc.identifier.citation Debba, P. Optimal sampling schemes for vegetation and geological field visits. University of the Witwatersrand, Statistics Department, July 2012 en_US
dc.identifier.uri http://hdl.handle.net/10204/6000
dc.description University of the Witwatersrand, Statistics Department, July 2012 en_US
dc.description.abstract The presentation made to Wits Statistics Department was on common classification methods used in the field of remote sensing, and the use of remote sensing to design optimal sampling schemes for field visits with applications in vegetation and geology. For vegetation the sample was designed to give more accurate measures of vegetation indices and for geology the sampling was designed to target alunite. en_US
dc.language.iso en en_US
dc.relation.ispartofseries Workflow;9256
dc.subject Sampling en_US
dc.subject Classification en_US
dc.subject Iterated conditional modes algorithm en_US
dc.subject Simulated annealing en_US
dc.subject Remote sensing en_US
dc.subject Alunite en_US
dc.title Optimal sampling schemes for vegetation and geological field visits en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Debba, P. (2012). Optimal sampling schemes for vegetation and geological field visits. http://hdl.handle.net/10204/6000 en_ZA
dc.identifier.chicagocitation Debba, Pravesh. "Optimal sampling schemes for vegetation and geological field visits." (2012): http://hdl.handle.net/10204/6000 en_ZA
dc.identifier.vancouvercitation Debba P, Optimal sampling schemes for vegetation and geological field visits; 2012. http://hdl.handle.net/10204/6000 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Debba, Pravesh AB - The presentation made to Wits Statistics Department was on common classification methods used in the field of remote sensing, and the use of remote sensing to design optimal sampling schemes for field visits with applications in vegetation and geology. For vegetation the sample was designed to give more accurate measures of vegetation indices and for geology the sampling was designed to target alunite. DA - 2012-07 DB - ResearchSpace DP - CSIR KW - Sampling KW - Classification KW - Iterated conditional modes algorithm KW - Simulated annealing KW - Remote sensing KW - Alunite LK - https://researchspace.csir.co.za PY - 2012 T1 - Optimal sampling schemes for vegetation and geological field visits TI - Optimal sampling schemes for vegetation and geological field visits UR - http://hdl.handle.net/10204/6000 ER - en_ZA


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