DOI: 10.1016/j.jag.2012.03.003
Scopus记录号: 2-s2.0-84880423628
论文题名: Area estimation from a sample of satellite images: The impact of stratification on the clustering efficiency
作者: Gallego F ; J ; , Stibig H ; J
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2013
卷: 22, 期: 1 起始页码: 139
结束页码: 146
语种: 英语
英文关键词: Area estimation
; Cluster sampling
; Correlogram
; Land cover
; Stratified sampling
Scopus关键词: cluster analysis
; correlation
; data acquisition
; estimation method
; land cover
; Landsat thematic mapper
; sampling
; satellite imagery
英文摘要: 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 large-support units 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 cluster. We show that the "equivalent number of points" is generally higher for stratified cluster sampling than for non-stratified cluster sampling, 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 clusters might be more efficient. © 2012 Joint Research Centre of the European Commission. Published by Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79806
Appears in Collections: 气候变化事实与影响
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作者单位: Joint Research Centre of the EC, Italy
Recommended Citation:
Gallego F,J,, Stibig H,et al. Area estimation from a sample of satellite images: The impact of stratification on the clustering efficiency[J]. International Journal of Applied Earth Observation and Geoinformation,2013-01-01,22(1)