Title: Using Remote Sensing for Agricultural Statistics
Authors: CARFAGNA ElisabettaGALLEGO PINILLA FRANCISCO
Citation: INTERNATIONAL STATISTICAL REVIEW vol. 73 no. 3 p. 389-404
Publisher: INT STATISTICAL INST
Publication Year: 2005
JRC N°: JRC32180
URI: http://publications.jrc.ec.europa.eu/repository/handle/JRC32180
Type: Articles in Journals
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.
JRC Institute:Institute for the Protection and Security of the Citizen

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