Extracting High-Resolution Cultivated Land Maps from Sentinel-2 Image Series

Author:

Tarasiewicz Tomasz1,Tulczyjew Lukasz1,Myller Michal1,Kawulok Michal1,Longepe Nicolas2,Nalepa Jakub1

Affiliation:

1. KP Labs,Gliwice,Poland,44-100

2. Φ-Lab,European Space Agency,Frascati,Italy,00044

Publisher

IEEE

Reference10 articles.

1. Deep supervised learning for hyperspec-tral data classification through convolutional neural net-works;makantasis;Proc IGARSS,0

2. The Potential of Sentinel-2 for Crop Production Estimation in a Smallholder Agroforestry Landscape, Burkina Faso

3. Scikit-learn: Machine learning in python;pedregosa;Journal of Machine Learning Research,2011

4. Deep Learning for Multiple-Image Super-Resolution

5. Past and Current Dynamics of U.S. Agricultural Land Use and Policy

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Assessment of Sentinel-2 Spatial and Temporal Coverage Based on the Scene Classification Layer;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

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