Earth observation, open data and machine learning for near real time threat monitoring of vulnerable plant species
The IUCN data base lists several plant species whose existence is currently threatened by human activities and climatic extremes. Here we report a methodology that monitors threat status of these species in near real time, by deriving data from multiple open data sources, by linking them via a machi...
| Main Authors: | , , , |
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| Format: | Poster |
| Language: | Inglés |
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International Center for Tropical Agriculture
2018
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/97164 |
| _version_ | 1855542186606592000 |
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| author | Burra, Dharani Dhar Barua, M.A. Palao, Leo K. Reymondin, Louis |
| author_browse | Barua, M.A. Burra, Dharani Dhar Palao, Leo K. Reymondin, Louis |
| author_facet | Burra, Dharani Dhar Barua, M.A. Palao, Leo K. Reymondin, Louis |
| author_sort | Burra, Dharani Dhar |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The IUCN data base lists several plant species whose existence is currently threatened by human activities and climatic extremes. Here we report a methodology that monitors threat status of these species in near real time, by deriving data from multiple open data sources, by linking them via a machine learning analytical framework, with interpretations facilitated by a web based geospatial visualization framework. |
| format | Poster |
| id | CGSpace97164 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2018 |
| publishDateRange | 2018 |
| publishDateSort | 2018 |
| publisher | International Center for Tropical Agriculture |
| publisherStr | International Center for Tropical Agriculture |
| record_format | dspace |
| spelling | CGSpace971642025-11-05T18:18:31Z Earth observation, open data and machine learning for near real time threat monitoring of vulnerable plant species Burra, Dharani Dhar Barua, M.A. Palao, Leo K. Reymondin, Louis data deforestation data base open data monitoring The IUCN data base lists several plant species whose existence is currently threatened by human activities and climatic extremes. Here we report a methodology that monitors threat status of these species in near real time, by deriving data from multiple open data sources, by linking them via a machine learning analytical framework, with interpretations facilitated by a web based geospatial visualization framework. 2018 2018-09-12T16:01:25Z 2018-09-12T16:01:25Z Poster https://hdl.handle.net/10568/97164 en Open Access application/pdf International Center for Tropical Agriculture Burra D.D., Barua M.A., Palao L.K., and Reymondin L. (2018). Earth observation, open data and machine learning for near real time threat monitoring of vulnerable plant species. International Center for Tropical Agriculture (CIAT). Cali. CO. 1 p. |
| spellingShingle | data deforestation data base open data monitoring Burra, Dharani Dhar Barua, M.A. Palao, Leo K. Reymondin, Louis Earth observation, open data and machine learning for near real time threat monitoring of vulnerable plant species |
| title | Earth observation, open data and machine learning for near real time threat monitoring of vulnerable plant species |
| title_full | Earth observation, open data and machine learning for near real time threat monitoring of vulnerable plant species |
| title_fullStr | Earth observation, open data and machine learning for near real time threat monitoring of vulnerable plant species |
| title_full_unstemmed | Earth observation, open data and machine learning for near real time threat monitoring of vulnerable plant species |
| title_short | Earth observation, open data and machine learning for near real time threat monitoring of vulnerable plant species |
| title_sort | earth observation open data and machine learning for near real time threat monitoring of vulnerable plant species |
| topic | data deforestation data base open data monitoring |
| url | https://hdl.handle.net/10568/97164 |
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