A Sample-Based Forest Monitoring Strategy Using Landsat, AVHRR and MODIS Data to Estimate Gross Forest Cover Loss in Malaysia between 1990 and 2005

dc.contributor.authorGiree, Namita
dc.contributor.authorStehman, Stephen V.
dc.contributor.authorPotapov, Peter
dc.contributor.authorHansen, Matthew C.
dc.date.accessioned2024-01-30T18:18:34Z
dc.date.available2024-01-30T18:18:34Z
dc.date.issued2013-04-15
dc.description.abstractInsular Southeast Asia is a hotspot of humid tropical forest cover loss. A sample-based monitoring approach quantifying forest cover loss from Landsat imagery was implemented to estimate gross forest cover loss for two eras, 1990–2000 and 2000–2005. For each time interval, a probability sample of 18.5 km × 18.5 km blocks was selected, and pairs of Landsat images acquired per sample block were interpreted to quantify forest cover area and gross forest cover loss. Stratified random sampling was implemented for 2000–2005 with MODIS-derived forest cover loss used to define the strata. A probability proportional to x (πpx) design was implemented for 1990–2000 with AVHRR-derived forest cover loss used as the x variable to increase the likelihood of including forest loss area in the sample. The estimated annual gross forest cover loss for Malaysia was 0.43 Mha/yr (SE = 0.04) during 1990–2000 and 0.64 Mha/yr (SE = 0.055) during 2000–2005. Our use of the πpx sampling design represents a first practical trial of this design for sampling satellite imagery. Although the design performed adequately in this study, a thorough comparative investigation of the πpx design relative to other sampling strategies is needed before general design recommendations can be put forth.
dc.description.urihttps://doi.org/10.3390/rs5041842
dc.identifierhttps://doi.org/10.13016/dspace/q4hz-ky2g
dc.identifier.citationGiree, N.; Stehman, S.V.; Potapov, P.; Hansen, M.C. A Sample-Based Forest Monitoring Strategy Using Landsat, AVHRR and MODIS Data to Estimate Gross Forest Cover Loss in Malaysia between 1990 and 2005. Remote Sens. 2013, 5, 1842-1855.
dc.identifier.urihttp://hdl.handle.net/1903/31617
dc.language.isoen_US
dc.publisherMDPI
dc.relation.isAvailableAtCollege of Behavioral & Social Sciencesen_us
dc.relation.isAvailableAtGeographyen_us
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_us
dc.relation.isAvailableAtUniversity of Maryland (College Park, MD)en_us
dc.subjectLandsat
dc.subjectMODIS
dc.subjectAVHRR
dc.subjectIndonesia
dc.subjectprobability proportional to x sampling
dc.subjectstratified sampling
dc.titleA Sample-Based Forest Monitoring Strategy Using Landsat, AVHRR and MODIS Data to Estimate Gross Forest Cover Loss in Malaysia between 1990 and 2005
dc.typeArticle
local.equitableAccessSubmissionNo

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