Next Article in Journal
Object-Based Classification of Grasslands from High Resolution Satellite Image Time Series Using Gaussian Mean Map Kernels
Previous Article in Journal
Reconstructing Historical Land Cover Type and Complexity by Synergistic Use of Landsat Multispectral Scanner and CORONA
Article Menu
Issue 7 (July) cover image

Export Article

Open AccessLetter
Remote Sens. 2017, 9(7), 652; doi:10.3390/rs9070652

Ten-Meter Sentinel-2A Cloud-Free Composite—Southern Africa 2016

1
SERCO c/o ESA-ESRIN, Frascati 00044, Italy
2
CS-Romania c/o ESA-ESRIN, Frascati 00044, Italy
3
European Space Agency, Frascati 00044, Italy
*
Author to whom correspondence should be addressed.
Academic Editors: Clement Atzberger and Prasad S. Thenkabail
Received: 1 June 2017 / Revised: 16 June 2017 / Accepted: 30 June 2017 / Published: 4 July 2017
View Full-Text   |   Download PDF [10216 KB, uploaded 4 July 2017]   |  

Abstract

The processing of cloud free geo-referenced imagery is one of the preliminary processing steps of any land application. This letter describes the methodology developed to obtain a seamless cloud free composite of Africa for 2016 using Sentinel-2A data at 10-meter resolution freely available from the European Space Agency. The method is based on a hybrid method resulting from the merging of the two most robust time series methods namely the “darkest pixel” and the “maximum Normalised Difference Vegetation Index (NDVI)” previously developed with the Advanced Very-High-Resolution Radiometer (AVHRR) time series. View Full-Text
Keywords: Sentinel-2; remote sensing; European Space Agency; Copernicus; continental; cloud-free; composite; darkest pixel; maximum NDVI Sentinel-2; remote sensing; European Space Agency; Copernicus; continental; cloud-free; composite; darkest pixel; maximum NDVI
Figures

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. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Ramoino, F.; Tutunaru, F.; Pera, F.; Arino, O. Ten-Meter Sentinel-2A Cloud-Free Composite—Southern Africa 2016. Remote Sens. 2017, 9, 652.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top