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 |
| Published: |
International Center for Tropical Agriculture
2018
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/97164 |
| Summary: | 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. |
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