Show simple item record

dc.contributor.authorVrieling, A.
dc.contributor.authorMeroni, M.
dc.contributor.authorShee, Apurba
dc.contributor.authorMude, Andrew G.
dc.contributor.authorWoodard, J.
dc.contributor.authorBie, C.A.J.M. de
dc.contributor.authorRembold, F.
dc.date.accessioned2014-01-29T06:59:31Z
dc.date.available2014-01-29T06:59:31Z
dc.date.issued2014-05-01
dc.identifier.citationVrieling, 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_US
dc.identifier.urihttp://hdl.handle.net/10568/34415
dc.description.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_US
dc.description.sponsorshipUnited States Agency for International Development
dc.language.isoenen_US
dc.sourceInternational Journal of Applied Earth Observation and Geoinformationen_US
dc.subjectLIVESTOCKen_US
dc.subjectINSURANCEen_US
dc.titleHistorical extension of operational NDVI products for livestock insurance in Kenyaen_US
dc.typeJournal Articleen_US
cg.subject.ilriINSURANCEen_US
cg.subject.ilriLIVESTOCKen_US
cg.identifier.statusLimited Accessen_US
cg.identifier.doihttps://dx.doi.org/10.1016/j.jag.2013.12.010en_US
cg.coverage.regionAFRICAen_US
cg.coverage.regionEAST AFRICAen_US
cg.coverage.countryKENYAen_US
cg.contributor.crpDryland Systems


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record