Quantifying Fertilizer Application Response Variability with VHR Satellite NDVI Time Series in a Rainfed Smallholder Cropping System of Mali

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cg.contributor.affiliationCatholique Universite de Louvainen_US
cg.contributor.affiliationInternational Crops Research Institute for the Semi-Arid Tropicsen_US
cg.contributor.affiliationWageningen University & Researchen_US
cg.contributor.crpClimate Change, Agriculture and Food Securityen_US
cg.coverage.countryMalien_US
cg.coverage.countrySudanen_US
cg.coverage.iso3166-alpha2MLen_US
cg.coverage.iso3166-alpha2SDen_US
cg.coverage.regionWestern Africaen_US
cg.coverage.regionNorthern Africaen_US
cg.creator.identifierXavier Blaes: 0000-0002-9341-6210en_US
cg.identifier.doihttps://doi.org/10.3390/rs8060531en_US
cg.identifier.projectCCAFS: PII-WA_CASCAIDen_US
cg.issn2072-4292en_US
cg.issue6en_US
cg.journalRemote Sensingen_US
cg.subject.ccafsCLIMATE SERVICES AND SAFETY NETSen_US
cg.volume8en_US
dc.contributor.authorBlaes, Xavieren_US
dc.contributor.authorChomé, Guillaumeen_US
dc.contributor.authorLambert, Marie-Julieen_US
dc.contributor.authorSibiry Traoré, Pierre C.en_US
dc.contributor.authorSchut, Antonius G.T.en_US
dc.contributor.authorDefourny, Pierreen_US
dc.date.accessioned2017-05-15T08:26:25Zen_US
dc.date.available2017-05-15T08:26:25Zen_US
dc.identifier.urihttps://hdl.handle.net/10568/81020en_US
dc.titleQuantifying Fertilizer Application Response Variability with VHR Satellite NDVI Time Series in a Rainfed Smallholder Cropping System of Malien_US
dcterms.abstractSoil fertility in smallholder farming areas is known to vary strongly on multiple scales. This study measures the sensitivity of the recorded satellite signal to on-farm soil fertility treatments applied to five crop types, and quantifies this fertilization effect with respect to within-field variation, between-field variation and field position in the catena. Plant growth was assessed in 5–6 plots per field in 48 fields located in the Sudano-Sahelian agro-ecological zone of southeastern Mali. A unique series of Very High Resolution (VHR) satellite and Unmanned Aerial Vehicle (UAV) images were used to calculate the Normalized Difference Vegetation Index (NDVI). In this experiment, for half of the fields at least 50% of the NDVI variance within a field was due to fertilization. Moreover, the sensitivity of NDVI to fertilizer application was crop-dependent and varied through the season, with optima at the end of August for peanut and cotton and early October for sorghum and maize. The influence of fertilizer on NDVI was comparatively small at the landscape scale (up to 35% of total variation), relative to the influence of other components of variation such as field management and catena position. The NDVI response could only partially be benchmarked against a fertilization reference within the field. We conclude that comparisons of the spatial and temporal responses of NDVI, with respect to fertilization and crop management, requires a stratification of soil catena-related crop growth conditions at the landscape scale.en_US
dcterms.accessRightsOpen Accessen_US
dcterms.available2016-06-22en_US
dcterms.bibliographicCitationBlaes X, Chomé G, Lambert MJ, Traoré PS, Schut AG, Defourny P. 2016. Quantifying Fertilizer Application Response Variability with VHR Satellite NDVI Time Series in a Rainfed Smallholder Cropping System of Mali. Remote Sensing 8(6):531.en_US
dcterms.issued2016-06-22en_US
dcterms.languageenen_US
dcterms.licenseCC-BY-4.0en_US
dcterms.publisherMDPIen_US
dcterms.subjectfood securityen_US
dcterms.subjectclimate changeen_US
dcterms.subjectagricultureen_US
dcterms.typeJournal Articleen_US

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