Integrating local crowdsourced and remotely sensed data to characterize rangeland resource use in extensive pasturelands
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 contrib...
| Autores principales: | , , , |
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| Formato: | Ponencia |
| Lenguaje: | Inglés |
| Publicado: |
International Livestock Research Institute
2018
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/97610 |
| _version_ | 1855529466385661952 |
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| author | Fava, Francesco P. Jensen, Nathaniel D. Oto, Lucas de Mude, Andrew G. |
| author_browse | Fava, Francesco P. Jensen, Nathaniel D. Mude, Andrew G. Oto, Lucas de |
| author_facet | Fava, Francesco P. Jensen, Nathaniel D. Oto, Lucas de Mude, Andrew G. |
| author_sort | Fava, Francesco P. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | 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. |
| format | Ponencia |
| id | CGSpace97610 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2018 |
| publishDateRange | 2018 |
| publishDateSort | 2018 |
| publisher | International Livestock Research Institute |
| publisherStr | International Livestock Research Institute |
| record_format | dspace |
| spelling | CGSpace976102023-02-15T10:51:56Z Integrating local crowdsourced and remotely sensed data to characterize rangeland resource use in extensive pasturelands Fava, Francesco P. Jensen, Nathaniel D. Oto, Lucas de Mude, Andrew G. data livestock rangelands pastoralism 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. 2018-10-03 2018-10-09T14:02:36Z 2018-10-09T14:02:36Z Presentation https://hdl.handle.net/10568/97610 en Open Access application/vnd.ms-powerpoint International Livestock Research Institute Fava, 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. |
| spellingShingle | data livestock rangelands pastoralism Fava, Francesco P. Jensen, Nathaniel D. Oto, Lucas de Mude, Andrew G. Integrating local crowdsourced and remotely sensed data to characterize rangeland resource use in extensive pasturelands |
| title | Integrating local crowdsourced and remotely sensed data to characterize rangeland resource use in extensive pasturelands |
| title_full | Integrating local crowdsourced and remotely sensed data to characterize rangeland resource use in extensive pasturelands |
| title_fullStr | Integrating local crowdsourced and remotely sensed data to characterize rangeland resource use in extensive pasturelands |
| title_full_unstemmed | Integrating local crowdsourced and remotely sensed data to characterize rangeland resource use in extensive pasturelands |
| title_short | Integrating local crowdsourced and remotely sensed data to characterize rangeland resource use in extensive pasturelands |
| title_sort | integrating local crowdsourced and remotely sensed data to characterize rangeland resource use in extensive pasturelands |
| topic | data livestock rangelands pastoralism |
| url | https://hdl.handle.net/10568/97610 |
| work_keys_str_mv | AT favafrancescop integratinglocalcrowdsourcedandremotelysenseddatatocharacterizerangelandresourceuseinextensivepasturelands AT jensennathanield integratinglocalcrowdsourcedandremotelysenseddatatocharacterizerangelandresourceuseinextensivepasturelands AT otolucasde integratinglocalcrowdsourcedandremotelysenseddatatocharacterizerangelandresourceuseinextensivepasturelands AT mudeandrewg integratinglocalcrowdsourcedandremotelysenseddatatocharacterizerangelandresourceuseinextensivepasturelands |