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

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

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

Resource information

Date of publication
October 2018
Resource Language
ISBN / Resource ID
handle:10568/97610
License of the resource

To 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.

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Authors and Publishers

Author(s), editor(s), contributor(s)

Fava, Francesco P.
Jensen, Nathaniel D.
Oto, Lucas de
Mude, Andrew G.

Data Provider
Geographical focus