Publication:
Eyes in the Sky, Boots on the Ground: Assessing Satellite- and Ground-Based Approaches to Crop Yield Measurement and Analysis in Uganda

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dc.contributor.authorLobell, David B.
dc.contributor.authorAzzari, George
dc.contributor.authorMarshall, Burke
dc.contributor.authorGourlay, Sydney
dc.contributor.authorJin, Zhenong
dc.contributor.authorKilic, Talip
dc.contributor.authorMurray, Siobhan
dc.date.accessioned2018-03-30T16:54:59Z
dc.date.available2018-03-30T16:54:59Z
dc.date.issued2018-03
dc.description.abstractCrop yields in smallholder systems are traditionally assessed using farmer-reported information in surveys, occasionally by crop cuts for a sub-section of a farmer's plot, and rarely using full-plot harvests. Accuracy and cost vary dramatically across methods. In parallel, satellite data is improving in terms of spatial, temporal, and spectral resolution needed to discern performance on smallholder plots. This study uses data from a survey experiment in Uganda, and evaluates the accuracy of Sentinel-2 imagery-based, remotely-sensed plot-level maize yields with respect to ground-based measures relying on farmer self-reporting, sub-plot crop cutting (CC), and full-plot crop cutting (FP). Remotely-sensed yields include two versions calibrated to FP and CC yields (calibrated), and an alternative based on crop model simulations, using no ground data (uncalibrated). On the ground, self-reported yields explained less than 1 percent of FP (and CC) yield variability, and while the average difference between CC and FP yields was not significant, CC yields captured one-quarter of FP yield variability. With satellite data, both calibrated and uncalibrated yields captured FP yield variability on pure stand plots similarly well, and both captured half of FP yield variability on pure stand plots above 0.10 hectare. The uncalibrated yields were consistently 1 ton per hectare higher than FP or CC yields, and the satellite-based yields were less well correlated with the ground-based measures on intercropped plots compared with pure stand ones. Importantly, regressions using CC, FP and remotely-sensed yields as dependent variables all produced very similar coefficients for yield response to production factors.en
dc.identifierhttp://documents.worldbank.org/curated/en/556261522069698373/Eyes-in-the-sky-boots-on-the-ground-assessing-satellite-and-ground-based-approaches-to-crop-yield-measurement-and-analysis-in-Uganda
dc.identifier.doi10.1596/1813-9450-8374
dc.identifier.urihttps://hdl.handle.net/10986/29554
dc.languageEnglish
dc.publisherWorld Bank, Washington, DC
dc.relation.ispartofseriesPolicy Research Working Paper;No. 8374
dc.rightsCC BY 3.0 IGO
dc.rights.holderWorld Bank
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/igo
dc.subjectMAIZE
dc.subjectCROP YIELD
dc.subjectCROP CUTTING
dc.subjectREMOTE SENSING
dc.subjectSMALLHOLDER FARMER
dc.subjectMAIZE YIELD
dc.subjectCROP MODEL
dc.titleEyes in the Sky, Boots on the Grounden
dc.title.subtitleAssessing Satellite- and Ground-Based Approaches to Crop Yield Measurement and Analysis in Ugandaen
dc.typeWorking Paperen
dc.typeDocument de travailfr
dc.typeDocumento de trabajoes
dspace.entity.typePublication
okr.crossref.titleEyes in the Sky, Boots on the Ground: Assessing Satellite- and Ground-Based Approaches to Crop Yield Measurement and Analysis in Uganda
okr.date.disclosure2018-03-26
okr.doctypePublications & Research
okr.doctypePublications & Research::Policy Research Working Paper
okr.docurlhttp://documents.worldbank.org/curated/en/556261522069698373/Eyes-in-the-sky-boots-on-the-ground-assessing-satellite-and-ground-based-approaches-to-crop-yield-measurement-and-analysis-in-Uganda
okr.guid556261522069698373
okr.identifier.doi10.1596/1813-9450-8374
okr.identifier.externaldocumentum090224b085807728_1_0
okr.identifier.internaldocumentum29749859
okr.identifier.reportWPS8374
okr.importedtrueen
okr.language.supporteden
okr.pdfurlhttp://documents.worldbank.org/curated/en/556261522069698373/pdf/WPS8374.pdfen
okr.region.administrativeAfrica
okr.region.countryUganda
okr.statistics.combined5411
okr.statistics.dr556261522069698373
okr.statistics.drstats4807
okr.topicAgriculture::Agricultural Knowledge & Information Systems
okr.topicAgriculture::Agricultural Sector Economics
okr.topicAgriculture::Crops & Crop Management Systems
okr.topicScience and Technology Development::Earth Sciences & GIS
okr.unitDevelopment Data Group, Development Economics
relation.isSeriesOfPublication26e071dc-b0bf-409c-b982-df2970295c87
relation.isSeriesOfPublication.latestForDiscovery26e071dc-b0bf-409c-b982-df2970295c87
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