2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 2 cited
Harnessing Administrative Data Inventories to Create a Reliable Transnational Reference Database for Crop Type Monitoring
Maja Schneider, Marco Körner
With leaps in machine learning techniques and their applicationon Earth observation challenges has unlocked unprecedented performance across the domain. While the further developme…
cs.OH2023
EuroCrops: All you need to know about the Largest Harmonised Open Crop Dataset Across the European Union
Maja Schneider, Tobias Schelte, Felix Schmitz +1
EuroCrops contains geo-referenced polygons of agricultural croplands from 16 countries of the European Union (EU) as well as information on the respective crop species grown there.…