Debba, Pravesh2012-07-172012-07-172012-07Debba, P. Optimal sampling schemes for vegetation and geological field visits. University of the Witwatersrand, Statistics Department, July 2012http://hdl.handle.net/10204/6000University of the Witwatersrand, Statistics Department, July 2012The 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.enSamplingClassificationIterated conditional modes algorithmSimulated annealingRemote sensingAluniteConference PresentationDebba, P. (2012). Optimal sampling schemes for vegetation and geological field visits. http://hdl.handle.net/10204/6000Debba, Pravesh. "Optimal sampling schemes for vegetation and geological field visits." (2012): http://hdl.handle.net/10204/6000Debba P, Optimal sampling schemes for vegetation and geological field visits; 2012. http://hdl.handle.net/10204/6000 .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 -