Drone imaging and remote sensing data to identify mosquito breeding sites and heterogeneity in local transmission risks in Kenya
Images 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 A link is provided to the preliminary results, which are unpublished (password required to...
| Autor principal: | |
|---|---|
| Formato: | Informe técnico |
| Lenguaje: | Inglés |
| Publicado: |
2021
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/122790 |
| _version_ | 1855519519006523392 |
|---|---|
| author | CGIAR Research Program on Agriculture for Nutrition and Health |
| author_browse | CGIAR Research Program on Agriculture for Nutrition and Health |
| author_facet | CGIAR Research Program on Agriculture for Nutrition and Health |
| author_sort | CGIAR Research Program on Agriculture for Nutrition and Health |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Images 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 A link is provided to the preliminary results, which are unpublished (password required to access). |
| format | Informe técnico |
| id | CGSpace122790 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| record_format | dspace |
| spelling | CGSpace1227902023-03-14T11:49:05Z Drone imaging and remote sensing data to identify mosquito breeding sites and heterogeneity in local transmission risks in Kenya CGIAR Research Program on Agriculture for Nutrition and Health breeding remote sensing development rural development data systems agrifood systems landsat mosquitoes breeding sites Images 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 A link is provided to the preliminary results, which are unpublished (password required to access). 2021-12-31 2022-10-06T14:08:35Z 2022-10-06T14:08:35Z Report https://hdl.handle.net/10568/122790 en Open Access application/pdf CGIAR 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. |
| spellingShingle | breeding remote sensing development rural development data systems agrifood systems landsat mosquitoes breeding sites CGIAR Research Program on Agriculture for Nutrition and Health Drone imaging and remote sensing data to identify mosquito breeding sites and heterogeneity in local transmission risks in Kenya |
| title | Drone imaging and remote sensing data to identify mosquito breeding sites and heterogeneity in local transmission risks in Kenya |
| title_full | Drone imaging and remote sensing data to identify mosquito breeding sites and heterogeneity in local transmission risks in Kenya |
| title_fullStr | Drone imaging and remote sensing data to identify mosquito breeding sites and heterogeneity in local transmission risks in Kenya |
| title_full_unstemmed | Drone imaging and remote sensing data to identify mosquito breeding sites and heterogeneity in local transmission risks in Kenya |
| title_short | Drone imaging and remote sensing data to identify mosquito breeding sites and heterogeneity in local transmission risks in Kenya |
| title_sort | drone imaging and remote sensing data to identify mosquito breeding sites and heterogeneity in local transmission risks in kenya |
| topic | breeding remote sensing development rural development data systems agrifood systems landsat mosquitoes breeding sites |
| url | https://hdl.handle.net/10568/122790 |
| work_keys_str_mv | AT cgiarresearchprogramonagriculturefornutritionandhealth droneimagingandremotesensingdatatoidentifymosquitobreedingsitesandheterogeneityinlocaltransmissionrisksinkenya |