Skip to main content
zenodoopen

Predicted maps

<p>This dataset is the final product of research through the projects ANTARES (grant agreement No. 739570) and&nbsp;CYBELE (grant agreement No. 825355).&nbsp;The dataset consists of yield, protein content and selective harvesting soya maps&nbsp;at a resolution of 10 m.&nbsp;These maps were created by satellite images and soil properties&nbsp;data using machine learning algorithms. Maps are located in the Upper Austria region. Files with the name of &quot;map yield&quot; contain information about yield amount per pixel,&nbsp;while files with &quot;map protein&quot; denote&nbsp;parcels with predicted protein content.&nbsp;Also, the same protein map files contain an additional class column. Class 1&nbsp;indicates pixels where soya have good quality (protein content &gt; 41), while class 2 represents poorer quality.</p>

ShareScore

44/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
20
Reuse readiness
8
Engagement
4

Topics