Optimal sampling for remote sensing: estimating the regional mean

Atkinson, P.M. (1988) Optimal sampling for remote sensing: estimating the regional mean. In, International Geoscience and Remote Sensing Symposium, 1988. IGARSS '88. Remote Sensing: Moving Toward the 21st Century, Noordwijk, Netherlands, 12 - 16 Sep 1988. Noordwijk, Netherlands, ESA Publications, 1793-1796.


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The sampling of ground data cover has presented problems for many years. Investigators have found that they cannot afford the resources they require to achieve the precision that they desire. In a similar way, investigators today are finding that they cannot afford to process the vast volumes of data produced by remote sensing systems. It is thus likely that the image itself will need re-sampling. Thanks to regionalised variable theory there is now a means by which to optimise this sampling.

Item Type: Conference or Workshop Item (Paper)
Related URLs:
Keywords: sampling, optimum, kriging, estimation variance, crop
Subjects: G Geography. Anthropology. Recreation > GA Mathematical geography. Cartography
Divisions : University Structure - Pre August 2011 > School of Geography > Remote Sensing and Spatial Analysis
ePrint ID: 17557
Accepted Date and Publication Date:
Date Deposited: 18 Oct 2005
Last Modified: 31 Mar 2016 11:33
URI: http://eprints.soton.ac.uk/id/eprint/17557

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