Agro-informatics Tech Talks ‘Geospatial data for cropland and environmental statistics in FAO’

Date: 09/07/2024 
Time: 10:00-11:00 CEST 
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The Agro-informatics TechTalks organized by the Digital FAO and Agro-informatics Division (CSI) aim to spark peer-to-peer discussions on the central role that technology, science and data play in sustainable digital agriculture for targeted impact and to strengthen links within the agro-informatics community and beyond. The series serve as a dedicated space to showcase experts' knowledge and how their research, initiatives or products contribute to agricultural transformation and sustainable development, in a globally interconnected ecosystem, leaving no one behind. 

Join us on Tuesday, 9 July, at 10:00 CEST for a virtual presentation on the “Geospatial data for cropland and environmental statistics in FAO” by Leon Casse, Environment Statistics and Geospatial Specialist, Statistic Division (ESS). 

The FAO Environmental Statistics team will showcase their extensive use and analysis of geospatial datasets covering land cover, cropland, fires, and other environmental factors. These datasets help to produce crucial country statistics for FAOSTAT, such as Land Cover, Emissions from Fires, and Drained Organic Soils. 

A cropland agreement map, which merges six land cover datasets will be highlighted to provide a comprehensive view of the current knowledge and uncertainties surrounding cropland. In addition collaborative development of multiple other geospatial datasets and tools with external partners, aimed at enhancing FAOSTAT statistics and supporting SDG 2.4.1: “Proportion of agricultural land under productive and sustainable agriculture” will be discussed.   

In this talk, an overview of FAO’s work in environmental statistics will be provided as well as  current knowledge on the spatial extent of cropland and crops, its uncertainties, and the future needs for better integration with regional statistics .

Don’t miss this opportunity to gain insights into the forefront of environmental statistics and geospatial data analysis! 

Register here