Ramoino, F.; Tutunaru, F.; Pera, F.; Arino, O. Ten-Meter Sentinel-2A Cloud-Free Composite—Southern Africa 2016. Remote Sens.2017, 9, 652.
Ramoino, F.; Tutunaru, F.; Pera, F.; Arino, O. Ten-Meter Sentinel-2A Cloud-Free Composite—Southern Africa 2016. Remote Sens. 2017, 9, 652.
Ramoino, F.; Tutunaru, F.; Pera, F.; Arino, O. Ten-Meter Sentinel-2A Cloud-Free Composite—Southern Africa 2016. Remote Sens.2017, 9, 652.
Ramoino, F.; Tutunaru, F.; Pera, F.; Arino, O. Ten-Meter Sentinel-2A Cloud-Free Composite—Southern Africa 2016. Remote Sens. 2017, 9, 652.
Abstract
The processing of cloud free geo-referenced imagery is one of the preliminary processing step of any land application. This letter describe the methodology developed to obtain a seamless cloud free composite of Africa for 2016 using Sentinel-2A data at 10 meters resolution freely available from the European Space Agency. The method is based on an hybrid method resulting from the merging of the two most robust time series methods namely the "darkest pixel" and the "maximum NDVI" previously developed with AVHRR time series.
Keywords
Sentinel-2; remote sensing; European Space Agency; Copernicus; continental; cloud-free; composite; darkest pixel; maximum NDVI
Subject
Environmental and Earth Sciences, Remote Sensing
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.