Improved estimates of opium cultivation in Afghanistan using imagery-based stratification

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dc.contributor.author Simms, Daniel M.
dc.contributor.author Waine, Toby W.
dc.contributor.author Taylor, John C.
dc.date.accessioned 2017-05-25T14:38:01Z
dc.date.available 2017-05-25T14:38:01Z
dc.date.issued 2017-03-30
dc.identifier.citation Daniel M. Simms, Toby W. Waine and John C. Taylor. Improved estimates of opium cultivation in Afghanistan using imagery-based stratification. International Journal of Remote Sensing, 2017, Volume 28, Issue 13, pp3785-3799 en_UK
dc.identifier.issn 0143-1161
dc.identifier.uri http://dx.doi.org/10.1080/01431161.2017.
dc.identifier.uri http://dspace.lib.cranfield.ac.uk/handle/1826/11935
dc.description.abstract The United Nations O ce on Drugs and Crime and the US Government make extensive use of remote sensing to quantify and monitor trends in Afghanistans illicit opium production. Cultivation gures from their independent annual surveys can vary because of systematic di erences in survey methodologies relating to spectral strati cation and the addition of a pixel bu er to the agricultural area. We investigated the e ect of strati cation and bu ering on area estimates of opium poppy using SPOT5 imagery covering the main opium cultivation area of Helmand province and sample data of poppy elds interpreted from very high resolution satellite imagery. The e ect of resolution was investigated by resampling the original 10 m pixels to 20, 30 and 60 m, representing the range of available imagery. The number of strata (1, 4, 8, 13, 23, 40) and sample fraction (0.2 to 2%) used in the estimate were also investigated. Strati cation reduced the con dence interval by improving the precision of estimates. Cultivation estimates of poppy using 40 spectral strata and a sample fraction of 1.1% had a similar precision to direct expansion estimates using a 2% sample fraction. Strati ed estimates were more robust to changes in sample size and distribution. The mapping of the agricultural area had a signi cant e ect on poppy cultivation estimates in Afghanistan, where the area of total agricultural production can vary signi cantly between years. The ndings of this research explain di erences in cultivation gures of the opium monitoring programmes in Afghanistan and recommendations can be applied to improve resource monitoring in other geographic areas. en_UK
dc.language.iso en en_UK
dc.publisher Taylor and Francis en_UK
dc.rights Attribution-NonCommercial 4.0 International
dc.rights.uri http://creativecommons.org/licenses/by-nc/4.0/
dc.subject Opium poppy en_UK
dc.subject stratifcation en_UK
dc.subject agricultural mask en_UK
dc.subject cultivation estimates en_UK
dc.subject bu ering en_UK
dc.title Improved estimates of opium cultivation in Afghanistan using imagery-based stratification en_UK
dc.type Article en_UK


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