Russian experts shared their experience in agrometeorology with Cuban counterparts
22 March 2018
Monitoring and forecasting of agrometeorological hazards (yield reduction due to meteorological phenomena such as drought) depends on the collection of data from both conventional and satellite sources, and their combination. Cuban specialists through various satellites receive relevant agrometeorological data. However often there is a lack in knowledge for a proper data treatment to obtain processed output data, and combine it with conventional measures.
Two leading Russian experts from the All-Russian Research Institute of Agricultural Meteorology are supporting the Institute of Meteorology of the Republic of Cuba on the use of satellite data in agrometeorology. Alexander Kleshchenko and Oleg Virchenko prepared materials for the training of their Cuban colleagues based on many years of relevant work in Russia. From 19 to 30 March 2018, Oleg Virchenko is in Cuba to directly consult his Cuban colleagues, as well as deliver a training session, including a presentation of methods for using vegetation indices derived from NOAA / AVHRR images to develop a model for estimating rice yields in Cuba.
The assignment is supported by the project "Knowledge management and capacity development in Russia-UNDP Partnership".
Monitoring and forecasting of agrometeorological hazards (yield reduction due to meteorological phenomena such as drought) depends on the collection of data from both conventional and satellite sources, and their combination. Cuban specialists through various satellites receive relevant agrometeorological data. However often there is a lack in knowledge for a proper data treatment to obtain processed output data, and combine it with conventional measures.
Two leading Russian experts from the All-Russian Research Institute of Agricultural Meteorology are supporting the Institute of Meteorology of the Republic of Cuba on the use of satellite data in agrometeorology. Alexander Kleshchenko and Oleg Virchenko prepared materials for the training of their Cuban colleagues based on many years of relevant work in Russia. From 19 to 30 March 2018, Oleg Virchenko is in Cuba to directly consult his Cuban colleagues, as well as deliver a training session, including a presentation of methods for using vegetation indices derived from NOAA / AVHRR images to develop a model for estimating rice yields in Cuba.
The assignment is supported by the project "Knowledge management and capacity development in Russia-UNDP Partnership".