Title: Area estimation from a sample of satellite images: the impact of stratification on the clustering efficiency
Authors: GALLEGO PINILLA FranciscoSTIBIG Hans-Jurgen
Citation: INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION vol. 22 p. 139-146
Publisher: ELSEVIER SCIENCE BV
Publication Year: 2013
JRC N°: JRC76235
ISSN: 0303-2434
URI: http://www.sciencedirect.com/science/article/pii/S0303243412000475
http://publications.jrc.ec.europa.eu/repository/handle/JRC76235
DOI: 10.1016/j.jag.2012.03.003
Type: Articles in periodicals and books
Abstract: Several projects dealing with land cover area estimation in large regions consider samples of sites to be analysed with high or very high resolution satellite images. This paper analyses the impact of stratification on the efficiency of sampling schemes of sites or clusters with a size between 5 km  5 km and 30 km  30 km. Cluster sampling schemes are compared with samples of unclustered points, both without and with stratification. The correlograms of land cover classes provide a useful tool to assess the sampling value of clusters in terms of variance; this sampling value is expressed as “equivalent number of points” of a site. The results obtained for the European Union and South-East Asia suggest that stratification generally increases the “equivalent number of points”, whose values remain however moderate. When land cover data are acquired by photo-interpretation of tiles extracted from larger images, such as Landsat TM, a sampling plan based on a larger number of smaller sites might be more efficient.
JRC Directorate:Sustainable Resources

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.