Debba, Pravesh2009-02-242009-02-242008-09Debba, P. 2008. Using remotely-sensed data for optimal field sampling. Sciencescope, Vol. 3(2), pp 18-20http://hdl.handle.net/10204/3060Copyright: 2008 CSIRStatistics is the science pertaining to the collection, summary, analysis, interpretation and presentation of data. Some of the key questions in environmental studies are: where to sample, what to sample and how many samples to obtain. Conventional sampling techniques are not always suitable in environmental studies and scientists have explored the use of remotely-sensed data as ancillary information to aid in the design of sampling schemes. Remote sensing images provide a synoptic overview of a large area, thus giving a wealth of information over the entire areaenSamplingRemote sensingDataArticleDebba, P. (2008). Using remotely-sensed data for optimal field sampling. http://hdl.handle.net/10204/3060Debba, Pravesh "Using remotely-sensed data for optimal field sampling." (2008) http://hdl.handle.net/10204/3060Debba P. Using remotely-sensed data for optimal field sampling. 2008; http://hdl.handle.net/10204/3060.TY - Article AU - Debba, Pravesh AB - Statistics is the science pertaining to the collection, summary, analysis, interpretation and presentation of data. Some of the key questions in environmental studies are: where to sample, what to sample and how many samples to obtain. Conventional sampling techniques are not always suitable in environmental studies and scientists have explored the use of remotely-sensed data as ancillary information to aid in the design of sampling schemes. Remote sensing images provide a synoptic overview of a large area, thus giving a wealth of information over the entire area DA - 2008-09 DB - ResearchSpace DP - CSIR KW - Sampling KW - Remote sensing KW - Data LK - https://researchspace.csir.co.za PY - 2008 T1 - Using remotely-sensed data for optimal field sampling TI - Using remotely-sensed data for optimal field sampling UR - http://hdl.handle.net/10204/3060 ER -