Drone imaging and remote sensing data to identify mosquito breeding sites and heterogeneity in local transmission risks in Kenya

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cg.contributor.crpAgriculture for Nutrition and Healthen
cg.coverage.countryKenyaen
cg.coverage.iso3166-alpha2KEen
cg.coverage.regionEastern Africaen
cg.numberIN-2467en
dc.contributor.authorCGIAR Research Program on Agriculture for Nutrition and Healthen
dc.date.accessioned2022-10-06T14:08:35Zen
dc.date.available2022-10-06T14:08:35Zen
dc.identifier.urihttps://hdl.handle.net/10568/122790
dc.titleDrone imaging and remote sensing data to identify mosquito breeding sites and heterogeneity in local transmission risks in Kenyaen
dcterms.abstractImages generated have been compared with those obtained from Landsat. Analyses to correct existing biases in Landsat images is expected to generate more reliable images for predicting mosquito breeding sites. A link is provided to the preliminary results, which are unpublished (password required to access).en
dcterms.accessRightsOpen Accessen
dcterms.bibliographicCitationCGIAR Research Program on Agriculture for Nutrition and Health. 2021. Drone imaging and remote sensing data to identify mosquito breeding sites and heterogeneity in local transmission risks in Kenya. Reported in Agriculture for Nutrition and Health Annual Report 2021. Innovations.en
dcterms.isPartOfCRP Innovationen
dcterms.issued2021-12-31en
dcterms.languageenen
dcterms.licenseOtheren
dcterms.subjectbreedingen
dcterms.subjectremote sensingen
dcterms.subjectdevelopmenten
dcterms.subjectrural developmenten
dcterms.subjectdataen
dcterms.subjectsystemsen
dcterms.subjectagrifood systemsen
dcterms.subjectlandsaten
dcterms.subjectmosquitoesen
dcterms.subjectbreeding sitesen
dcterms.typeReporten

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