Comparison of Sampling Designs for Estimating Deforestation from Landsat TM and MODIS Imagery: A Case Study in Mato Grosso, Brazil
Joint Authors
Zhu, Shanyou
Zhang, Hailong
Liu, Ronggao
Cao, Yun
Zhang, Guixin
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-09-01
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Zhu, Shanyou& Zhang, Hailong& Liu, Ronggao& Cao, Yun& Zhang, Guixin. 2014. Comparison of Sampling Designs for Estimating Deforestation from Landsat TM and MODIS Imagery: A Case Study in Mato Grosso, Brazil. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1051603
Modern Language Association (MLA)
Zhu, Shanyou…[et al.]. Comparison of Sampling Designs for Estimating Deforestation from Landsat TM and MODIS Imagery: A Case Study in Mato Grosso, Brazil. The Scientific World Journal No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-1051603
American Medical Association (AMA)
Zhu, Shanyou& Zhang, Hailong& Liu, Ronggao& Cao, Yun& Zhang, Guixin. Comparison of Sampling Designs for Estimating Deforestation from Landsat TM and MODIS Imagery: A Case Study in Mato Grosso, Brazil. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1051603
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1051603