Historical extension of operational NDVI products for livestock insurance in Kenya

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cg.contributor.crpDryland Systems
cg.contributor.donorUnited States Agency for International Developmenten
cg.coverage.countryKenya
cg.coverage.iso3166-alpha2KE
cg.coverage.regionAfrica
cg.coverage.regionEastern Africa
cg.creator.identifierAndrew Mude: 0000-0003-4903-6613en
cg.creator.identifierApurba Shee: 0000-0002-1836-9637en
cg.identifier.doihttps://doi.org/10.1016/j.jag.2013.12.010en
cg.isijournalISI Journalen
cg.issn1569-8432en
cg.journalInternational Journal of Applied Earth Observation and Geoinformationen
cg.reviewStatusPeer Reviewen
cg.subject.ilriINSURANCEen
cg.subject.ilriLIVESTOCKen
cg.volume28en
dc.contributor.authorVrieling, A.en
dc.contributor.authorMeroni, M.en
dc.contributor.authorShee, Apurbaen
dc.contributor.authorMude, Andrew G.en
dc.contributor.authorWoodard, J.en
dc.contributor.authorBie, C.A.J.M. deen
dc.contributor.authorRembold, F.en
dc.date.accessioned2014-01-29T06:59:31Zen
dc.date.available2014-01-29T06:59:31Zen
dc.identifier.urihttps://hdl.handle.net/10568/34415
dc.titleHistorical extension of operational NDVI products for livestock insurance in Kenyaen
dcterms.abstractDroughts induce livestock losses that severely affect Kenyan pastoralists. Recent index insurance schemes have the potential of being a viable tool for insuring pastoralists against drought-related risk. Such schemes require as input a forage scarcity (or drought) index that can be reliably updated in near real-time, and that strongly relates to livestock mortality. Generally, a long record (>25 years) of the index is needed to correctly estimate mortality risk and calculate the related insurance premium. Data from current operational satellites used for large-scale vegetation monitoring span over a maximum of 15 years, a time period that is considered insufficient for accurate premium computation. This study examines how operational NDVI datasets compare to, and could be combined with the non-operational recently constructed 30-year GIMMS AVHRR record (1981–2011) to provide a near-real time drought index with a long term archive for the arid lands of Kenya. We compared six freely available, near-real time NDVI products: five from MODIS and one from SPOT-VEGETATION. Prior to comparison, all datasets were averaged in time for the two vegetative seasons in Kenya, and aggregated spatially at the administrative division level at which the insurance is offered. The feasibility of extending the resulting aggregated drought indices back in time was assessed using jackknifed R2 statistics (leave-one-year-out) for the overlapping period 2002–2011. We found that division-specific models were more effective than a global model for linking the division-level temporal variability of the index between NDVI products. Based on our results, good scope exists for historically extending the aggregated drought index, thus providing a longer operational record for insurance purposes. We showed that this extension may have large effects on the calculated insurance premium. Finally, we discuss several possible improvements to the drought index.en
dcterms.accessRightsLimited Access
dcterms.audienceScientistsen
dcterms.bibliographicCitationVrieling, A., Meroni, M., Shee, A., Mude, A.G., Woodard, J., Bie, C.A.J.M. (Kees) de and Rembold, F. 2014. Historical extension of operational NDVI products for livestock insurance in Kenya. International Journal of Applied Earth Observation and Geoinformation 28: 238-251en
dcterms.extentp. 238-251en
dcterms.issued2014-05en
dcterms.languageen
dcterms.licenseCopyrighted; all rights reserved
dcterms.publisherElsevieren
dcterms.subjectlivestocken
dcterms.subjectinsuranceen
dcterms.typeJournal Article

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