Developing government capacity in geospatial tools for land water analysis in Myanmar, enabling rice crop flood-damage prevention measures.
Final maps being finalised,. Pre-final maps with DoA. These have been discussed at all DoA levels, prior to adoption during the 2020 monsoon season. Supported by several training events in terms the data and model generating the maps, and how the maps can be interpreted and applied at ground level.
| Main Author: | |
|---|---|
| Format: | Informe técnico |
| Language: | Inglés |
| Published: |
2019
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/122674 |
| _version_ | 1855540592311795712 |
|---|---|
| author | CGIAR Research Program on Water, Land and Ecosystems |
| author_browse | CGIAR Research Program on Water, Land and Ecosystems |
| author_facet | CGIAR Research Program on Water, Land and Ecosystems |
| author_sort | CGIAR Research Program on Water, Land and Ecosystems |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Final maps being finalised,. Pre-final maps with DoA. These have been discussed at all DoA levels, prior to adoption during the 2020 monsoon season. Supported by several training events in terms the data and model generating the maps, and how the maps can be interpreted and applied at ground level. |
| format | Informe técnico |
| id | CGSpace122674 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2019 |
| publishDateRange | 2019 |
| publishDateSort | 2019 |
| record_format | dspace |
| spelling | CGSpace1226742023-03-14T12:27:28Z Developing government capacity in geospatial tools for land water analysis in Myanmar, enabling rice crop flood-damage prevention measures. CGIAR Research Program on Water, Land and Ecosystems rice models training water development rural development data analysis data analysis land adoption maps government systems damage tools agrifood systems events model water analysis levels Final maps being finalised,. Pre-final maps with DoA. These have been discussed at all DoA levels, prior to adoption during the 2020 monsoon season. Supported by several training events in terms the data and model generating the maps, and how the maps can be interpreted and applied at ground level. 2019-12-31 2022-10-06T14:04:39Z 2022-10-06T14:04:39Z Report https://hdl.handle.net/10568/122674 en Open Access application/pdf CGIAR Research Program on Water, Land and Ecosystems. 2019. Developing government capacity in geospatial tools for land water analysis in Myanmar, enabling rice crop flood-damage prevention measures. Reported in Water, Land and Ecosystems Annual Report 2019. Innovations. |
| spellingShingle | rice models training water development rural development data analysis data analysis land adoption maps government systems damage tools agrifood systems events model water analysis levels CGIAR Research Program on Water, Land and Ecosystems Developing government capacity in geospatial tools for land water analysis in Myanmar, enabling rice crop flood-damage prevention measures. |
| title | Developing government capacity in geospatial tools for land water analysis in Myanmar, enabling rice crop flood-damage prevention measures. |
| title_full | Developing government capacity in geospatial tools for land water analysis in Myanmar, enabling rice crop flood-damage prevention measures. |
| title_fullStr | Developing government capacity in geospatial tools for land water analysis in Myanmar, enabling rice crop flood-damage prevention measures. |
| title_full_unstemmed | Developing government capacity in geospatial tools for land water analysis in Myanmar, enabling rice crop flood-damage prevention measures. |
| title_short | Developing government capacity in geospatial tools for land water analysis in Myanmar, enabling rice crop flood-damage prevention measures. |
| title_sort | developing government capacity in geospatial tools for land water analysis in myanmar enabling rice crop flood damage prevention measures |
| topic | rice models training water development rural development data analysis data analysis land adoption maps government systems damage tools agrifood systems events model water analysis levels |
| url | https://hdl.handle.net/10568/122674 |
| work_keys_str_mv | AT cgiarresearchprogramonwaterlandandecosystems developinggovernmentcapacityingeospatialtoolsforlandwateranalysisinmyanmarenablingricecropflooddamagepreventionmeasures |