There is a growing realization amongst policy-makers that reliable and accurate soil monitoring information is required at scales ranging from regional to global to support ecosystem functions and services in a sustainable manner under the amplifying climate change enabling countries in target setting of the Sustainable Development Goals (SDGs).

Currently, a large wide of applications calls for a necessity of integration of remote sensing with untapped in situ database infrastructures. e-shape, within the framework of Showcase 1, leverages data mining techniques for handling and integrating ground spectroscopic and remotely sensed imagery data with the open access soil spectral library of GEO-CRADLE. It thus, paves the way for a systematic baseline determination of several key soil properties to support countries in target setting of the Sustainable Development Agenda, enabling a significant cost reduction without sacrificing the accuracy. Looking to the future, the proposed approach can be adopted on the forthcoming hyperspectral orbital sensors to expand the current capabilities of the Earth Observation component by estimating more soil attributes with higher predictive performance.

Tziolas Ν., Tsakiridis Ν., Ogen Υ., Kalopesa Ε.,Ben-Dor Ε., Theocharis J., Zalidis G.An integrated methodology using open soil spectral libraries and Earth Observation data for soil organic carbon estimations in support of soil-related SDGs.Elsevier, 29 April 2020, 111793

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Pilot 1.1

Pilot 1.2