Through the development of our 37 pilots in 7 showcases we aim at contributing to the targets of the Sustainable Development Goals by proposing solutions to combat poverty, inequality, climate change, environmental degradation and to support prosperity, peace and justice.

SDG 2 | ZERO HUNGER

Pilot 1.2 | EU-CAP Support

Pilot S1P2 addresses the zero hunger SDG (Goal 2) via supporting farmers to comply with agricultural policies and strengthen the performance of their farm. The pilot offers the agrowth platform, which is a suite of smart farming services enabled by artificial intelligence, earth observations and numerical weather predictions. Crop phenology and crop yield estimation, the two core services of agrowth, constitute key information for agricultural management and thereby actionable knowledge for the farmer, the agricultural consultant, the insurance company and the policy maker. Using agrowth we can i) reduce the cultivation costs, ii) increase productivity and iii) protect the yield from from adverse weather events. All this work is of great significance towards achieving zero hunger, as we help to make more with less.

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SDG 3 | GOOD HEALTH AND WELL-BEING

Pilot 2.1 | EO-based surveillance of mercury pollution

Mercury is a harmful substance for people exposed to its organic compounds. It is released by anthropogenic sources and natural-driven emission processes, can be transported long distances from the emission region/source and be deposited to terrestrial and aquatic receptors. Once deposited to marine and fresh water ecosystems may partly be deposited to sediments and partly be bioaccumulated in biota. In marine and freshwater biota can be found at concentrations that increase with trophic levels. The impact on human health may occur through different patterns of exposure such as ingestion of Hg-contaminated food such as fish and sea food. Once bioaccumulated in human body it may have toxic effects on the nervous, digestive and immune systems, as well as on lungs, kidneys, skin and eyes, causing serious health problems.

S2P1 contributes to the estimation of:

Indicator 3.9: By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination

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SDG 6 |CLEAN WATER AND SANITATION

Pilot 1.5 | Linking EO and Farm IoT for Automated Decision Support

By improving water usage for farming purposes through smarter usage of water, conservation of water sources and clean water is achieved.

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SDG 7 | AFFORDABLE AND CLEAN ENERGY

Pilot 3.2 | High photovoltaic penetration at urban scale
  • The temporal and spatial variability of the injected electric energy in the grid for grid operators and urban planning decision makers;
  • The specific behavior of residential, commercial, and industrial buildings with their different electric load patterns;
  • The optimal integration and placement of electricity stationery storage applications and the charging and battery exchange stations;
  • The adequacy of a specific rooftop PV system with respect to the energy consumption profile of citizens trying to optimize their PV self-consumption with the help of PV system developers.

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SDG 11 | SUSTAINABLE CITIES AND COMMUNITIES

Pilot 2. 3 |EO-based pollution-health risks profiling in the urban environment

The HSAQ pilot (S2P3) is directly linked to SDG11 and in particular target 11.6 "By 2030, reduce the adverse per capita environmental impact of cities, including by paying special attention to air quality and municipal and other waste management" and indicator 11.6.2 "Annual mean levels of fine particulate matter (e.g. PM2.5 and PM10) in cities (population weighted)". Specific pilot components incorporate annual mean data of PM2.5 and PM10 with relevant modelled fields and satellite observations, in high resolution over cities, which enables the understanding of the intra-urban spatial distribution of population exposure to particulate matter pollution and its linkage with health and socioeconomic factors.

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SDG 13 | CLIMATE ACTION

Pilot 1.2 | EU-CAP Support

Pilot S1P2 addresses the climate action SDG (Goal 13) via ensuring sustainable practises are met (according to the CAP requirements) and via assisting in the educated farm intervention through its services of phenology estimation, yield estimation and weather event predictions. The farmer is enabled to use less input, while achieving greater yield. This is particularly important towards achieving greater agricultural sustainability while making sure the farmers have a fair and stable income.

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SDG14 | LIFE BELOW WATER

Pilot 2.1 | EO-based surveillance of mercury pollution

Mercury is a harmful substance for people exposed to its organic compounds. It is released by anthropogenic sources and natural-driven emission processes, can be transported long distances from the emission region/source and be deposited to terrestrial and aquatic receptors. Once deposited to marine and fresh water ecosystems may partly be deposited to sediments and partly be bioaccumulated in biota. In marine and freshwater biota can be found at concentrations that increase with trophic levels. The impact on human health may occur through different patterns of exposure such as ingestion of Hg-contaminated food such as fish and sea food. Once bioaccumulated in human body it may have toxic effects on the nervous, digestive and immune systems, as well as on lungs, kidneys, skin and eyes, causing serious health problems.

S2P1 contributes to the estimation of:

Indicator 14.1: By 2025, prevent and significantly reduce marine pollution of all kinds, in particular from land-based activities, including marine debris and nutrient pollution;

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SDG 15 | LIFE ON LAND

Pilot 1.5 | Linking EO and Farm IoT for Automated Decision Support

Agriculture is to 100% dependent on natural resources. Their efficient use and management through sustainable agriculture are therefore paramount. With our pilot we aim to support farmers’ daily operations and management decisions to efficiently work with these resources (plants, soil, water) protecting them at the same time.

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