Nearly half of the world’s population lives in poverty. The lack of food and clean water kills thousands every day. Food insecurity is having a devastating effect on the world’s most vulnerable people. There is an urgent need to help people meet their current food and nutrition needs whilst ensuring there is enough for the future.
In 2015, world leaders agreed to 17 Sustainable Development Goals (the SDGs).
SDG2 is specifically focused on "Zero Hunger." Its main objective is to end hunger, achieve food security and improved nutrition, and promote sustainable agriculture worldwide. This goal aims to ensure that everyone has access to safe, nutritious, and sufficient food, while also promoting sustainable farming practices to protect ecosystems and support rural development.
Geospatial analysis plays a pivotal role in addressing food insecurity and advancing SDG2 by providing critical insights and solutions to address global food security challenges. By combining geographic data with information on agricultural practices, soil quality, climate patterns, and land use, geospatial analysis enables more efficient and targeted resource allocation.
GIS and Geospatial analysis help improve food security and livelihoods
Satellite imagery analysis improves post-harvest management
Mapping and tracking tractors to remotely monitor programmes
NDVI Data can help boost agricultural productivity
Mapping schools to locate emergency food distribution hubs
Understanding crop behaviour
This map shows how some crops across Afghanistan are behaving differently than expected, over a period of two weeks. The darker areas show greater deviations from normal and act as an early warning system to people monitoring crop health. We do this by analysing the Normalised Difference Vegetation Index (NDVI) of crops and comparing it to the Long Term Mean (LTM). The LTM shows us the way crops “normally” behave. The greater the deviation, the greater the warning.