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Book (stand-alone)Understanding the drought impact of El Niño/La Niña in the grain production areas in Eastern Europe and Central Asia: Russia, Ukraine and Kazakhstan 2019
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No results found.This study focused on assessing the statistical of spatio-temporal impacts on grain production areas in Russian Federation, Ukraine and Kazakhstan (RUK region). A calibrated and harmonized spatio-temporal database that integrated country agricultural production at sub-national level for wheat and maize crops (area harvested, yield, production, and area planted for the study area, with remote sensing and Earth Observation (EA) data using Agriculture Stress Index (ASI) data, as well as El Niño/La Niña data was created. The data collected from country offices were screened, evaluated and assessed using data quality criteria. Several statistical and geostatistical models were implemented to analyze and assess the impacts of El Niño events on agriculture production on the study area and provide insights on the impacts and distribution of such events aiming at improving knowledge and supporting resilience, and target investments in agriculture and rural development. -
DocumentTraining Course: Producing Food Security Information Products that Result in Action
EC/FAO Food Security “Information for Action” Programme.UNIT 7 – Reporting Agrometeorological bulletins - Draft prepared by SDRN/FAO
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No results found.Here are some notes about what makes a “good” agrometeorological bulletin. If you have some contrasting views, or if you would like to add/comment, please do so! Examples of good and useful contents are particularly welcome! -
DocumentCM Box: Turn-Key Crop Monitoring and Forecasting Tool to Support National Food Security Analyses 2007
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No results found.Crop condition monitoring and forecasting techniques have made enormous progress from the days of empirical statistical methods using weather variables that were very popular in the fifties and sixties. Using modern tools of agrometeorology and remote sensing it is now possible to issue a forecast of the likely outcome of the cropping season starting at the time of planting.
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