In this paper, we selected the forest cover per hectare in Huaxi district, Guiyang city as an example to explore the application of spatial stratified sampling for forest resources. By using the information from SPOT5 image as foundation, a 100 m×100 m sampling frame was constructed, the information extracted from SPOT5 image were used to make priori sampling. The results showed that there is significant spatial autocorrelation of the forest cover per hectare from Moran’s I. The result of ordinary Kriging interpolation is used as the auxiliary factor to stratify. Our research initially show that spatial stratified sampling is more efficient compared with classic sampling or spatial random sampling.
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