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

Informations sur la ressource

Date of publication: 
décembre 2018
Resource Language: 
ISBN / Resource ID: 
handle:10568/97164
Pages: 
1
License of the resource: 

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.

Auteurs et éditeurs

Author(s), editor(s), contributor(s): 

Burra, Dharani D.
Barua, MA
Palao, LK
Reymondin L

Corporate Author(s): 

Mission

To reduce hunger and poverty, and improve human nutrition in the tropics through research aimed at increasing the eco-efficiency of agriculture.

People

CIAT’s staff includes about 200 scientists. Supported by a wide array of donors, the Center collaborates with hundreds of partners to conduct high-quality research and translate the results into development impact. A Board of Trustees provides oversight of CIAT’s research and financial management.

Values

Publisher(s): 

Mission

To reduce hunger and poverty, and improve human nutrition in the tropics through research aimed at increasing the eco-efficiency of agriculture.

People

CIAT’s staff includes about 200 scientists. Supported by a wide array of donors, the Center collaborates with hundreds of partners to conduct high-quality research and translate the results into development impact. A Board of Trustees provides oversight of CIAT’s research and financial management.

Values

Fournisseur de données

CGIAR (CGIAR)

CGIAR is the only worldwide partnership addressing agricultural research for development, whose work contributes to the global effort to tackle poverty, hunger and major nutrition imbalances, and environmental degradation.


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