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Earth observation, open data and machine learning for near real time threat monitoring of vulnerable plant species

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Title Earth observation, open data and machine learning for near real time threat monitoring of vulnerable plant species
 
Creator Burra, Dharani D.
Barua, MA
Palao, LK
Reymondin L
 
Subject DEFORESTATION
DATA BASE
OPEN DATA
MONITORING
 
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.
 
Date 2018-09-12T16:01:25Z
2018-09-12T16:01:25Z
2018
 
Type Poster
 
Identifier 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.
https://hdl.handle.net/10568/97164
 
Language en
 
Format 1 p.
 
Publisher Centro International de Agricultura Tropical (CIAT)