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dc.contributorForkuo, Eric K.en_US
dc.contributorTraore, Pierre C. Sibiryen_US
dc.contributorLandmann, Tobiasen_US
dc.creatorTraore, Souleymane S.en_US
dc.date.accessioned2016-09-20T11:17:02Z
dc.date.available2016-09-20T11:17:02Z
dc.identifierhttps://mel.cgiar.org/reporting/download/hash/AsgidGhXen_US
dc.identifier.citationSouleymane S. Traore, Eric K. Forkuo, Pierre C. Sibiry Traore, Tobias Landmann. (14/6/2015). Assessing the inter-relationship between vegetation productivity, rainfall, population and land cover over the Bani River Basin in Mali. IOSR Journal of Engineering (IOSRJEN), 5 (6), pp. 10-18.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/4970
dc.description.abstractThis research investigated the inter-relationship between vegetation productivity, measured using the Normalized Difference Vegetation Index (NDVI), change in rainfall and population density in the context of perceived greening and degradation trends over the Bani River Basin (BRB). A 30-year (1982-2011), 8-km gridded rainfall data sets was produced by inverse distance weighted (IDW) interpolation of monthly data from 40 meteorological stations contained within the basin. Population data were retrieved from the National Population Statistic data base for 1987, 1997, and 2009. Rainfall and NDVI time-series trends were computed for the 30-year period and analysed. The relationship between rainfall and NDVI at pixel level, and NDVI and population densities was analysed using a Pearson correlation. Land Use and Land Cover (LULC) conversion rates were computed for the same period using multi-temporal 30-meter Landsat imagery; ground surveys for selected areas within the basin were used for further cross-verification. The computed NDVI trends revealed that, vegetation ‗greening‘ trends are mostly associated with areas where natural vegetation is still well represented. Concurrent with increases in rainfall over the period analysed, this finding supports the hypothesis that re-greening observed in that area is the result of multi-decadal fluctuations in climate, rather than improved land management.en_US
dc.formatPDFen_US
dc.languageenen_US
dc.publisherInternational Organization of Scientific Research (IOSR)en_US
dc.rightsCC-BY-NC-4.0en_US
dc.sourceIOSR Journal of Engineering (IOSRJEN) ;5,(2015) Pagination 10,18en_US
dc.titleAssessing the inter-relationship between vegetation productivity, rainfall, population and land cover over the Bani River Basin in Malien_US
dc.typeJournal Articleen_US
dcterms.available2015-06-14en_US
dcterms.extent10-18en_US
cg.subject.agrovocproductivityen_US
cg.subject.agrovocrainwateren_US
cg.subject.agrovocvegetationen_US
cg.contributor.centerKwame Nkrumah University of Science and Technology - KNUSTen_US
cg.contributor.centerInternational Crops Research Institute for the Semi-Arid Tropics - ICRISATen_US
cg.contributor.centerInternational Center of Insect Physiology and Ecology - ICIPEen_US
cg.contributor.crpCGIAR Research Program on Dryland Systems - DSen_US
cg.contributor.funderBill & Melinda Gates Foundation - BMGFen_US
cg.contributor.projectSpurring a Transformation in Agriculture through Remote Sensing (STARS)en_US
cg.contributor.project-lead-instituteInternational Crops Research Institute for the Semi-Arid Tropics - ICRISATen_US
cg.coverage.regionWestern Africaen_US
cg.coverage.countryMLen_US
cg.contactsstraore@yahoo.fren_US
cg.isijournalISI journalen_US
dc.identifier.statusOpen accessen_US
mel.project.openhttp://www.stars-project.org/en/about-us/en_US
mel.impact-factor1,645en_US
cg.issn2250-3021en_US
cg.journalIOSR Journal of Engineering (IOSRJEN)en_US
cg.issue6en_US
cg.volume5en_US


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