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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