Land cover information is growing more and more important for the implementation and evaluation of environmental policies, and high precision is expected of it. AGRIT is an Italian point frame sample survey the purpose of which is to produce area estimates of the main crops, with a predetermined sample error for the different crops (see also Chapter 22 of this book). When auxiliary information is available, the design-based regression estimator (Hansen et al., 1953; Cochran, 1977) is a classical technique used to improve the precision of a sample estimator. This technique has been widely applied to improve the efficiency of crop area estimates since the early days of satellite image data (Allen, 1990; Flores and Martnez, 2000; see also Chapter 12 of this book).
Estimation of land cover parameters when some covariates are missing
BENEDETTI, ROBERTO;
2010-01-01
Abstract
Land cover information is growing more and more important for the implementation and evaluation of environmental policies, and high precision is expected of it. AGRIT is an Italian point frame sample survey the purpose of which is to produce area estimates of the main crops, with a predetermined sample error for the different crops (see also Chapter 22 of this book). When auxiliary information is available, the design-based regression estimator (Hansen et al., 1953; Cochran, 1977) is a classical technique used to improve the precision of a sample estimator. This technique has been widely applied to improve the efficiency of crop area estimates since the early days of satellite image data (Allen, 1990; Flores and Martnez, 2000; see also Chapter 12 of this book).I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
