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#landcoverchange

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📊 Despite the richness of in-situ datasets, gaps remain in areas like cover crop types and forest disturbances

🔍To address this, EvoLand will collect, process, harmonise, and quality-assess existing resources of reference data sets, encompassing general land cover, biomass, cover crops, and forest disturbance. Learn more about this method by exploring this link evo-land.eu/method/novel-insit

#MachineLearning #DataScience #Innovation #LandCoverChange

@EU_HaDEA @euenvironment @DLR @cnes