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Remote sensing and geostatistics

Curran, Paul J. and Atkinson, Peter M. (1998) Remote sensing and geostatistics. Progress in Physical Geography, 22 (1). pp. 61-78. ISSN 0309-1333

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Abstract

In geostatistics, spatial autocorrelation is utilized to estimate optimally local values from data sampled elsewhere. The powerful synergy between geostatistics and remote sensing went unrealized until the 1980s. Today geostatistics are used to explore and describe spatial variation in remotely sensed and ground data; to design optimum sampling schemes for image data and ground data; and to increase the accuracy with which remotely sensed data can be used to classify land cover or estimate continuous variables. This article introduces these applications and uses two examples to highlight characteristics that are common to them all. The article concludes with a discussion of conditional simulation as a novel geostatistical technique for use in remote sensing.

Item Type: Article
Journal or Publication Title: Progress in Physical Geography
Additional Information: M1 - 1
Uncontrolled Keywords: Geostatistics ; remote sensing ; mapping ; error ; optimum sampling
Subjects:
Departments: Faculty of Science and Technology
ID Code: 77279
Deposited By: ep_importer_pure
Deposited On: 21 Dec 2015 15:56
Refereed?: Yes
Published?: Published
Last Modified: 24 Nov 2017 06:28
Identification Number:
URI: http://eprints.lancs.ac.uk/id/eprint/77279

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