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空间分层抽样在森林覆盖面积监测中的应用(PDF)

《南京林业大学学报(自然科学版)》[ISSN:1000-2006/CN:32-1161/S]

Issue:
2012年03期
Page:
81-84
Column:
研究论文
publishdate:
2012-05-30

Article Info:/Info

Title:
The application of spatial stratified sampling in remote sensing monitoring of forest cover
Author(s):
ZHANG Xiaowei12 SHE Guanghui2* WEN Xiaorong2 LIN Guozhong2 CAO Lin2 LUO Yang3
1.Monitoring Center of Forest Resources of Zhejiang Province, Hangzhou 310020, China; 2. College of Forest Resources and Environment, Nanjing Forestry University, Nanjing 210037,China; 3. Forestry Science Institute of Guizhou Province, Guiyang 550000, China
Keywords:
spatial stratified sampling forest cover Moran’s I ordinary Kriging
Classification number :
S757
DOI:
10.3969/j.jssn.1000-2006.2012.03.017
Document Code:
A
Abstract:
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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Last Update: 2012-05-30