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December 2005 Using Remote Sensing for Agricultural Statistics
Elisabetta Carfagna, F. Javier Gallego
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Internat. Statist. Rev. 73(3): 389-404 (December 2005).

Abstract

Remote sensing can be a valuable tool for agricultural statistics when area frames or multiple frames are used. At the design level, remote sensing typically helps in the definition of sampling units and the stratification, but can also be exploited to optimise the sample allocation and size of sampling units. At the estimator level, classified satellite images are generally used as auxiliary variables in a regression estimator or for estimators based on confusion matrixes. The most often used satellite images are LANDSAT-TM and SPOT-XS. In general, classified or photo-interpreted images should not be directly used to estimate crop areas because the proportion of pixels classified into the specific crop is often strongly biased. Vegetation indexes computed from satellite images can give in some cases a good indication of the potential crop yield.

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Elisabetta Carfagna. F. Javier Gallego. "Using Remote Sensing for Agricultural Statistics." Internat. Statist. Rev. 73 (3) 389 - 404, December 2005.

Information

Published: December 2005
First available in Project Euclid: 5 December 2005

zbMATH: 1105.62111

Rights: Copyright © 2005 International Statistical Institute

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Vol.73 • No. 3 • December 2005
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