Pilot 1.1 | GEOGLAM

Pilot 1.1 | GEOGLAM

Demonstrating the European capacity in operational processing and (heterogeneous) data analysis upscaling and improvement of the current agricultural monitoring information products. Showcasing Copernicus data sets combined with the necessary in-situ, meteo and soil data (collected based on existing networks; expert regional assessment, and through citizen sourced streams).

Building on existing operational tools and modifying them to meet the specific user needs of the GEOGLAM community. Integrating the above mentioned datasets with the Copernicus DIAS storage and processing power. This will allow the monitoring of several essential climate variables (e.g. LAI) and the development of agricultural metrics that are more quantitative and look beyond the current growing season as requested by the GEOGLAM community represented by the GEOGLAM secretariat.

/ Objectives

• To strengthen global agricultural monitoring making use of Copernicus data and infrastructure
• Provide improved indicators for agricultural monitoring based on in situ, meteo, soil and RS data
• Demonstrate methodologies implementable at national scale in support of ministries of agriculture

/ Partners


/ Key Users

GEOGLAM community as represented by GEOGLAM secretariat, Ministries of Agriculture, Research institutes and universities, International institutions (WFP, FAO, JRC, Global Soil Partnership etc)

/ Key Datasets

Earth Observation datasets:
Sentinel data (S1-S2, S3), Proba-V
EO derived parameters/indices (e.g. LAI, phenology, start of season, end of season crop biomass.)
In-situ datasets when available:
crop type, yield measurements Atmospheric and soil measurements (soil temperature, humidity (multi-depth), ambient temperature, relative humidity, barometric pressure, solar radiation, leaf wetness, rainfall volume, wind speed and direction).
Meteo datasets/Services:
Standard and Open Meteo data and services (e.g. precipitation, forecasts
Soil data base spectral library, Citizen sourced streams of data.

/ ID Card
Expected outcome of the pilot

The final product will be a set of algorithms that can be used to derive information on crop calendars, i.e. specific field interventions such as harvest, planting or ploughing. The final set of methodologies that will be offered will depend on available data and user interactions 

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