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Using remotely-sensed data for optimal field sampling

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dc.contributor.author Debba, Pravesh
dc.date.accessioned 2009-02-24T07:46:11Z
dc.date.available 2009-02-24T07:46:11Z
dc.date.issued 2008-09
dc.identifier.citation Debba, P. 2008. Using remotely-sensed data for optimal field sampling. Sciencescope, Vol. 3(2), pp 18-20 en
dc.identifier.uri http://hdl.handle.net/10204/3060
dc.description Copyright: 2008 CSIR en
dc.description.abstract 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 en
dc.language.iso en en
dc.publisher CSIR en
dc.subject Sampling en
dc.subject Remote sensing en
dc.subject Data en
dc.title Using remotely-sensed data for optimal field sampling en
dc.type Article en
dc.identifier.apacitation Debba, P. (2008). Using remotely-sensed data for optimal field sampling. http://hdl.handle.net/10204/3060 en_ZA
dc.identifier.chicagocitation Debba, Pravesh "Using remotely-sensed data for optimal field sampling." (2008) http://hdl.handle.net/10204/3060 en_ZA
dc.identifier.vancouvercitation Debba P. Using remotely-sensed data for optimal field sampling. 2008; http://hdl.handle.net/10204/3060. en_ZA
dc.identifier.ris 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 - en_ZA


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