SENTINEL-2 SEN2COR: L2A Processor for Users

By J. Louis, V. Debaecker, B. Pflug, M. Main-Knorn, J. Bieniarz, Uwe Mueller-Wilm, E. Cadau, F. Gascon. 2016

379 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/224e57c6a530fd7128fd3086736763b24e2b71bf

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Phan Thanh Noi
2. Lammert Kooistra
3. Martin Kappas
4. Marnix M. M. van den Brande
5. Jan G. P. W. Clevers
6. Jochem Verrelst
7. Muhammad Hammad Saleem
8. M. Schlemmer

Citations in the corpus

• Comparison of Random Forest, k-Nearest Neighbor, and Support Vector Machine Classifiers for Land Cover Classification Using Sentinel-2 Imagery (2017, methodology): “The imagery was atmospherically corrected using the Sen2cor tool, which is available in the Sentinel Application Platform (SNAP) toolbox [22,39].”
• Using Sentinel-2 Data for Retrieving LAI and Leaf and Canopy Chlorophyll Content of a Potato Crop (2017, methodology): “These images were atmospherically corrected using the SEN2COR procedure available in the Sentinel-2 SNAP (Sentinel Application Platform) toolbox, converting top-of-atmosphere (TOA) reflectances into top-of-canopy (TOC) reflectances [20].”