Food security and agricultural monitoring

Food insecurity and agricultural market volatility are some of biggest challenges in developing countries. In addition, food security has been recognized as a United Nations Sustainable Development Goal SDG2 Zero Hunger.

To better respond to these challenges and develop more effective policies by governments, reliable and up-to-date information e.g. on crop production projections is needed on a regular basis and on a large geographic scale.

GEOGLAM logoIn light of these pressing challenges, GEOGLAM, the GEO Global Agricultural Monitoring initiative, was launched by the G20 Agriculture Ministers in June 2011. The initiative forms part of the G20 Action Plan on Food Price Volatility that includes the Agricultural Market Information System (AMIS) hosted by the UN Food and Agriculture Organisation. The G20 Ministerial Declaration states that GEOGLAM “will strengthen global agricultural monitoring by improving the use of remote sensing tools for crop production projections and weather forecasting”.


By providing coordinated Earth observations from satellites and integrating them with ground-based and other in-situ  measurements, the initiative contributes to generating reliable, accurate, timely and sustained crop monitoring information and yield forecasts.


To achieve these objectives and strengthen global agricultural monitoring, the GEOGLAM initiative makes use of Copernicus data and related infrastructure to support the qualitative and quantitative indicators for agricultural monitoring based on in-situ, meteorological, soil and Earth observation data.


Within NextGEOSS, various methodologies and associated information products are being demonstrated that can be implemented at national scale to meet information needs and inform better policy-making in support of agricultural ministries.



Land | Agriculture | Crop Monitoring

Disaster | Geohazards | Emergency | Disaster Area Mapping


Data sets


Data collections


Community portals


Information products

The solution

Crop phenology and crop calendars

VITO time series

Temporal dense time-series comparison between different areas of interest

The GEOGLAM community is currently discussing and defining the essential agricultural variables (EAVs). These EAVs are fundamental for defining and driving data needs that can support community activities and ultimately inform and improve policy. EAVs address observation needs and drive the R&D agenda of the GEOGLAM community. One of the EAVs under discussion is crop phenology and crop calendars.


VITO, a GEOGLAM partner and project lead, is using NextGEOSS platform’s catalogue to improve the data integration of different sensors and has developed a time series viewer.  Both are crucial for improving the global view on crop calendars.


VITO is finalising the deployment of crop phenology workflows on the NextGEOSS cloud environment and is bringing in this experience into e-shape where further developments and implementations on different platforms will be done.

VITO fields map
VITO logo

NextGEOSS partner experience

What are our users are saying about the NextGEOSS user experience?


End users experiences


Detect emerging threat to the production
of agriculture goods (National food
security programs require timely accurate
information on emerging threats)


● The information produced by ministries
is trusted, deemed authoritative, and
created close to the decision makers


● The monitoring information can be
quickly used to respond to food security


● Overall, national monitoring systems
provide better information faster, in a
setting where saving days and weeks can
save thousands from hardship

User Experience

Since 2011, GEOGLAM has had significant
success developing global scale monitoring
products that help reduce market volatility
and provide early warning for food security


In recent years, GEOGLAM has had great
success working with national governments to
co-develop systems that produce information
that is quickly turned into proactive policies
and programs. These users are driving the need
for higher resolution data and more
qualitative metrics on agriculture state and
change over multiple timeframes (within
season to decadal).


“To meet global food security challenges,
GEOGLAM requires reliable access to
Copernicus data within robust, cloud-based
computing infrastructures. The e-shape
initiative will provide a significant step forward
in this regard.”


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