Optimal ground-based sampling for remote sensing investigations:estimating the regional mean

Atkinson, Peter M. (1991) Optimal ground-based sampling for remote sensing investigations:estimating the regional mean. International Journal of Remote Sensing, 12 (3). pp. 559-567. ISSN 0143-1161

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Abstract

Remote sensing investigations often involve sampling on the ground to estimate the mean of some property within ground resolution elements. Investigators have used classical statistics to determine the size of sample required to produce a desired precision. However, classical statistics is based on assumptions that do not hold when the target population is spatially dependent. Remotely sensed data and ground cover are usually spatially correlated, and in these circumstances the size of sample required will be less when sampling is done on a regular grid. This is demonstrated for several variables measured at the ground.

Item Type:
Journal Article
Journal or Publication Title:
International Journal of Remote Sensing
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1900
Subjects:
ID Code:
77249
Deposited By:
Deposited On:
18 Dec 2015 16:16
Refereed?:
Yes
Published?:
Published
Last Modified:
01 Jan 2020 09:31