GEOGLAM's Earth Observation Data Coordination Team’s efforts have resulted in considerable advances in acquisition, accessibility, and ease of use of satellite data for agriculture monitoring. As policy frameworks have multiplied, and our G20 mandate has expanded, so too have the observation and product requirements to meet the demand for information. Critical to our mandate is the ability to measure state and change of agriculture, as well as to forecast what is yet to come, in the face of climate change, food insecurity, and land degradation. Following the model of the Essential Climate Variables (ECVs), GEOGLAM has developed a set of Essential Agriculture Variables (EAVs) that are driven by user and policy needs for agriculture information. There are 14 “Top Priority User-Facing Variables” (TPUFVs) that are intended for non-remote sensing audiences (policy and decision support), 21 “Supporting Variables” that underpin analysis to generate the TPUFVs, and 6 “ECVs for Agriculture” that are similar to the Supporting Variables but build synergy with the existing ECVs. Outputs of the GEOGLAM EAV development process include a) specifications (definitions, application relevance, spatial unit of product output (e.g. field or administrative unit), frequency of update, and error assessment requirements), b) a process for identifying/labeling satellite-derived products as compliant with GEOGLAM EAV specifications, c) updated Earth observation requirements, and d) an analysis of gaps and barriers to EAV product generation. Gaps and barriers include data acquisition, data access, methodological development, in situ data for cal/val, training/capacity, and computational power.
This talk will briefly outline the specifications and focus mainly on progress to date while illustrating linkages with existing GEOGLAM-contributing projects, including Sen2Agri, Sen4CAP, Sen4Stats, NASA Harvest GLAM, ESA World Cereals, and more. It will also outline linkages to other GEOGLAM efforts, including Capacity Development, Computation/IT, and In Situ Data Coordination, and provide the vision for the next 10 years of GEOGLAM’s EO data coordination work.