Integrating local crowdsourced and remotely sensed data to characterize rangeland resource use in extensive pasturelands

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dc.creatorFava, Francesco P.
dc.creatorJensen, Nathaniel D.
dc.creatorOto, Lucas de
dc.creatorMude, Andrew G.
dc.date2018-10-03
dc.date2018-10-09T14:02:36Z
dc.date2018-10-09T14:02:36Z
dc.date.accessioned2026-06-27T16:56:46Z
dc.descriptionTo support improved rangeland resource management and monitoring for nomadic pastoralists in northern Kenya, we used a task-based mobile application to incentivize pastoralists provide more than 100,000 surveys containing information on local rangeland, water and livestock resources. In this contribution we explore the potential of combining this information with remote sensing data for improved characterization of rangeland resource use and accessibility through integration of local socio-ecological knowledge into land cover mapping methods.
dc.formatapplication/vnd.ms-powerpoint
dc.identifierhttps://hdl.handle.net/10568/97610
dc.identifier.urihttp://hdl.handle.net/123456789/137739
dc.languageen
dc.publisherInternational Livestock Research Institute
dc.rightsOpen Access
dc.sourceFava, F., Jensen, N., Oto, L. de and Mude, A. 2018. Integrating local crowdsourced and remotely sensed data to characterize rangeland resource use in extensive pasturelands. Presented at the CGIAR Platform for Big Data in Agriculture Convention, Nairobi, 3-5 October 2018. Nairobi, Kenya: ILRI.
dc.subjectdata
dc.subjectlivestock
dc.subjectrangelands
dc.subjectpastoralism
dc.titleIntegrating local crowdsourced and remotely sensed data to characterize rangeland resource use in extensive pasturelands
dc.typePresentation

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Instituto Internacional de Investigaciones Pecuarias (ILRI)