Earth Observation data benefits in the Agricultural sector

by Francesca Piatto, EARSC

Earth Observation data and information play an essential role in supporting agriculture industry, farmers, technology suppliers, as well as governmental bodies at local, regional, and national level, and giving policymakers access to the best information possible to make informed decisions.

To this end, EARSC, the European Association of Remote Sensing companies, a participating organization of the Group of Earth Observation (GEO), promotes the use of Earth Observation technology and represents the European providers of geo-information services, creating a network between industry, decision makers and users.

Our presentation will give an overview of the impacts of general weather-related threats, such as droughts, landslides, changing seasonal patterns, climate change and vulnerability, on agriculture. These threats pose multiple risks to economic growth, poverty reduction, and the achievement of the Sustainable Development Goals (SDGs).
Copernicus Sentinel data play an important role and bring significant benefits in the agriculture and climate sectors, not only to primary users but to the value chain associated with these sectors.

In both sectors, these can span from
• socio-economic benefits: a) reduced inputs of e.g. water, fertilisers, or pesticides; b) improved efficiency through acting with high accuracy, at the right time and at the right place;
• to socio-environmental benefits: a) reduced impact on natural resources, improved preparedness against or response to natural disasters leading to reduced impacts on key natural resources; common understanding/common platform that different actors can access creating a common point of reference building trust and improving response planning together.

The use of Sentinel data can generate value in different ways; Earth Observation can be integrated through services for early warning solutions, in the context of smart farming, monitoring and control, and efficient management of resources, as in natural hazards contexts.

Copernicus Sentinel data provide an effective and convenient support to various agricultural applications, from yield prediction, soil erosion, and applying environmental-friendly practices in agricultural production to detecting and assessing geo-hazard
vulnerability.

In this framework, the e-shape project develops and promotes European Earth Observation capabilities with and for the users. Driven by the need to develop operational EO services with and for the users, e-shape is federating communities to increase the knowledge and the awareness of European EO capabilities and new approaches. We will present some specific applications being developed in the e-shape project to bring the
aforementioned benefits to decision makers (from farmers to policy makers) active in the agriculture sector.

program: https://smartfarmingconference.com/program/

Francesca Piatto is project officer at EARSC, the European Association of Remote Sensing Companies, which coordinates and promotes activities of European companies engaged in delivering EO geo-information services. She is currently the e-shape project WP coordinator, a European project that develops and promotes European Earth Observation capabilities with and for the users. Prior to this role, she collaborated with the Italian Chamber of Commerce in Rosario (Argentina) assisting with EU projects, and Business Bridge Europe, where she worked for the annual EU Space Conference. Francesca holds a MA in EU external relations and international migration from the University of Kent’s Brussels School of International Studies.

EARSC, the European Association of Remote Sensing Companies, is a membership-based, not for profit organisation which coordinates and promotes the activities of European companies engaged in delivering Earth observation-derived geo-information services. EARSC represents this sector in its broadest sense, creating a network between industry, decision makers and users and covering the full EO value chain from data acquisition through processing, fusion, analysis to final geo-information products & services.

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