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HYRESSA — Result In Brief

Project ID: 26194
Country: Belgium

Remote aerial sensing gets organised

An EU-funded project brought stakeholders together to upgrade activities in the field of hyperspectral imaging and data. Advances in this area are important considering the fragmented nature of related standards and applications across the EU.
Remote aerial sensing gets organised
Hyperspectral imaging involves collecting data from across the electromagnetic spectrum, i.e. capturing images beyond the visible, especially aerial images. Knowledge gathered can be used in agriculture, medicine, military applications, geology, ecology, physics and more. It can help researchers to overcome a multitude of challenges from locating hidden oil fields to detecting mad cow disease.

The 'Hyperspectral remote sensing in Europe - Specific Support Actions' (Hyressa) project sought to improve access to hyperspectral data from aerial images in Europe. It identified users and providers of such remote sensing data, outlining needs, accuracy and quality.

The project team conducted an analysis of strengths, weaknesses, opportunities and threats (SWOT) through questionnaires and workshops, outlining remote sensing capabilities and availability in Europe. It then supported strategies for developing a sustainable European network of data providers and users, as well as mapping future protocols and standards for data acquisition, processing and distribution.

Hyressa identified the urgent need for improved research infrastructure in hyperspectral remote sensing across Europe, unifying existing national European capabilities. This move enabled sharing of expertise and facilities, as well as minimising duplication and enhancing capacity building. The project outlined different needs from sensor development and calibration to different applications and end products. A strong infrastructure in this field would also include quality control, education, training, field capabilities, data management, modelling and sensor development.

The project was well received by stakeholders and encouraged collaboration in the field across the continent. Its efforts will continue to encourage the use of hyperspectral technology, improve standards, optimise resources and bring together players in the field to create an advanced hyperspectral data community.

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