中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Comparison of Sampling Designs for Estimating Deforestation from Landsat TM and MODIS Imagery: A Case Study in Mato Grosso, Brazil

文献类型:SCI/SSCI论文

作者Zhu S. Y. ; Zhang H. L. ; Liu R. G. ; Cao Y. ; Zhang G. X.
发表日期2014
关键词forest disturbance detection tropical deforestation satellite data cover amazon strategies vegetation record
英文摘要Sampling designs are commonly used to estimate deforestation over large areas, but comparisons between different sampling strategies are required. Using PRODES deforestation data as a reference, deforestation in the state of Mato Grosso in Brazil from 2005 to 2006 is evaluated using Landsat imagery and a nearly synchronous MODIS dataset. The MODIS-derived deforestation is used to assist in sampling and extrapolation. Three sampling designs are compared according to the estimated deforestation of the entire study area based on simple extrapolation and linear regression models. The results show that stratified sampling for strata construction and sample allocation using the MODIS-derived deforestation hotspots provided more precise estimations than simple random and systematic sampling. Moreover, the relationship between the MODIS-derived and TM-derived deforestation provides a precise estimate of the total deforestation area as well as the distribution of deforestation in each block.
出处Scientific World Journal
收录类别SCI
语种英语
ISSN号1537-744X
源URL[http://ir.igsnrr.ac.cn/handle/311030/29343]  
专题地理科学与资源研究所_历年回溯文献
推荐引用方式
GB/T 7714
Zhu S. Y.,Zhang H. L.,Liu R. G.,et al. Comparison of Sampling Designs for Estimating Deforestation from Landsat TM and MODIS Imagery: A Case Study in Mato Grosso, Brazil. 2014.

入库方式: OAI收割

来源:地理科学与资源研究所

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