Please use this identifier to cite or link to this item:
|Title:||Using Remote Sensing for Agricultural Statistics|
|Authors:||CARFAGNA Elisabetta; GALLEGO PINILLA FRANCISCO|
|Citation:||INTERNATIONAL STATISTICAL REVIEW vol. 73 no. 3 p. 389-404|
|Publisher:||INT STATISTICAL INST|
|Type:||Articles in periodicals and books|
|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|
Files in This Item:
There are no files associated with this item.
Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.