Ten-meter sentinel-2A cloud-free composite-Southern Africa 2016

Remote Sensing

Volumn 9, Issue 7, 2017, Pages

  Ramoino, Fabrizio ^a   Tutunaru, Florin ^a   Pera, Fabrizio ^a   Arino, Olivier ^b  

^a ESA ESRIN   (Italy)

^b EUROPEAN SPACE AGENCY   (France)

Author keywords

Cloud free; Composite; Continental; Copernicus; Darkest pixel; European Space Agency; Maximum NDVI; Remote sensing; Sentinel 2

Indexed keywords

COMPOSITE MATERIALS; REMOTE SENSING; SOCIETIES AND INSTITUTIONS; TIME SERIES; VEGETATION;

CONTINENTAL; COPERNICUS; EUROPEAN SPACE AGENCY; MAXIMUM NDVI; SENTINEL-2;

PIXELS;

EID: 85022337006     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs9070652     Document Type: Letter

References (18)

1. Gascon, F.; Thépaut, O.; Jung, M.; Francesconi, B.; Louis, J.; Lonjou, V.; Lafrance, B.; Massera, S.; Gaudel-Vacaresse, A.; Languille, F.; et al. Copernicus Sentinel-2 Calibration and Products Validation Status. Remote Sens. 2017, 9, 584
2. Berger, M.; Moreno, J.; Johannessen, J.A.; Levelt, P.F.; Hanssen, R.F. ESA's sentinel missions in support of Earth system science. Remote Sens. Environ. 2012, 120, 84-90
3. Drusch, M.; Del Bello, U.; Carlier, S.; Colin, O.; Fernandez, V.; Gascon, F.; Hoersch, B.; Isola, C.; Laberinti, P.; Martimort, P.; et al. Sentinel-2: ESA's optical high-resolution mission for GMES operational services. Remote Sens. Environ. 2012, 120, 25-36
4. Aschbacher, J.; Milagro-Pérez, M.P. The European Earth monitoring (GMES) programme: Status and perspectives. Remote Sens. Environ. 2012, 120, 3-8
5. Vuolo, F.; Ng, W.-T.; Atzberger, C. Smoothing and gap-filling of high resolution multi-spectral time series: Example of Landsat data. Int. J. Appl. Earth Obs. Geoinf. 2017, 57, 202-213
6. European Space Agency. Sentinel Application Platform (SNAP). 2017. Available online: http://step.esa.int/main/toolboxes/snap/(accessed on 15 June 2017)
7. Shen, H.; Li, X.; Cheng, Q.; Zeng, C.; Yang, G.; Li, H.; Zhang, L. Missing information reconstruction of remote sensing data: A technical review. IEEE Geosci. Remote Sens. Mag. 2015, 3, 61-85
8. Fomferra, N.; Böttcher, M.; Zühlke, M.; Brockmann, C.; Kwiatkowska, E. Calvalus: Full-mission EO cal/val, processing and exploitation services. In Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Munich, Germany, 22-27 July 2012
9. European Space Agency. Sentinel-2 Products Specification Document. 2017. Available online: https://sentinel.esa.int/documents/247904/349490/S2_MSI_Product_Specification.pdf (accessed on 15 June 2017)
10. Sentinel-2 L1C Tiling Grid. 2017. Available online: https://sentinel.esa.int/web/sentinel/missions/sentinel-2/data-products (accessed on 15 June 2017)
11. European Space Agency. Level-2A Prototype Processor for Atmosphericterrain and Cirrus Correction of Top-of-Atmosphere Level 1C Input Data. 2017. Available online: http://step.esa.int/main/third-partyplugins-2/sen2cor/(accessed on 15 June 2017)
12. Irish, R.R.; Barker, J.L.; Goward, S.N.; Arvidson, T. Characterization of the Landsat-7 ETM+ Automated Cloud-Cover Assessment (ACCA). Photogramm. Eng. Remote Sens. 2006, 72, 1179-1188
13. Zhu, Z.; Wang, S.; Woodcock, C.E. Improvement and expansion of the Fmask algorithm: cloud, cloud shadow, and snow detection for Landsats 4-7, 8, and Sentinel 2 images. Remote Sens. Environ. 2015, 159, 269-277
14. Saunders, R.W.; Kriebel, K.T. An improved method for detecting clear sky and cloudy radiances from AVHRR data. Int. J. Remote Sens. 1998, 9, 123-150
15. Holben, B.N. Characteristics of Maximum Value Composite images from temporal AVHRR data. Int. J. Remote Sens. 1986, 7, 1417-1434
16. Viovy, N.; Arino, O.; Belward, A.S. The Best Index Slope Extraction (BISE): A method for reducing noise in NDVI time-series. Int. J. Remote Sens. 1992, 13, 1585-1590
17. Simmons, R. A Gentle Introduction to GDAL Part 4: Working with Satellite Data. 2017. Available online: https://medium.com/@robsimmon/a-gentle-introduction-to-gdal-part-4-working-with-satellitedata-d3835b5e2971 (accessed on 15 June 2017)
18. Roy, D.P.; Ju, J.; Kline, K.; Scaramuzza, P.L.; Kovalskyy, V.; Hansen, M.; Loveland, T.R.; Vermote, E.; Zhang, C. Web-enabled Landsat Data (WELD): Landsat ETM+ composited mosaics of the conterminous United States. Remote Sens. Environ. 2010, 114, 35-49