Fusion of Landsat 8 OLI and Sentinel-2 MSI Data
Fusion of Landsat 8 OLI and Sentinel-2 MSI Data
Sentinel-2 is a wide-swath and fine spatial resolution satellite imaging mission designed for data continuity and enhancement of the Landsat and other missions. The Sentinel-2 data are freely available at the global scale, and have similar wavelengths and the same geographic coordinate system as the Landsat data, which provides an excellent opportunity to fuse these two types of satellite sensor data together. In this paper, a new approach is presented for fusion of Landsat 8 Operational Land Imager (OLI) and Sentinel-2 Multispectral Imager (MSI) data to coordinate their spatial resolutions for continuous global monitoring. The 30 m spatial resolution Landsat 8 bands are downscaled to 10 m using available 10 m Sentinel-2 bands. To account for the land-cover/land-use (LCLU) changes that may have occurred between the Landsat 8 and Sentinel-2 images, the Landsat 8 PAN band was also incorporated in the fusion process. The experimental results showed that the proposed approach is effective for fusing Landsat 8 with Sentinel-2 data, and the use of the PAN band can decrease the errors introduced by LCLU changes. By fusion of Landsat 8 and Sentinel-2 data, more frequent observations can be produced for continuous monitoring (this is particularly valuable for areas that can be covered easily by clouds, thereby, contaminating some Landsat or Sentinel-2 observations), and the observations are at a consistent fine spatial resolution of 10 m. The products have great potential for timely monitoring of rapid changes.
Wang, Qunming
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Blackburn, George Alan
50c1da11-52e4-4dc2-9d31-45f18aba6103
Onojeghuo, Alex O.
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Dash, Jadunandan
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Zhou, Lingquan
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Zhang, Yihang
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Atkinson, Peter M.
96e96579-56fe-424d-a21c-17b6eed13b0b
Wang, Qunming
4a7ddec8-4d4c-4e33-95bb-5c1fdb3c0084
Blackburn, George Alan
50c1da11-52e4-4dc2-9d31-45f18aba6103
Onojeghuo, Alex O.
f7c9a2b1-9a98-4fcd-8ced-8829d6c4d90e
Dash, Jadunandan
51468afb-3d56-4d3a-aace-736b63e9fac8
Zhou, Lingquan
2ff4cb0a-9f4d-408c-a535-5f1de50ca181
Zhang, Yihang
2d9dfa3a-92f3-46df-ab5c-b38c4ec6b9e4
Atkinson, Peter M.
96e96579-56fe-424d-a21c-17b6eed13b0b
Wang, Qunming, Blackburn, George Alan, Onojeghuo, Alex O., Dash, Jadunandan, Zhou, Lingquan, Zhang, Yihang and Atkinson, Peter M.
(2017)
Fusion of Landsat 8 OLI and Sentinel-2 MSI Data.
IEEE Transactions on Geoscience and Remote Sensing.
(doi:10.1109/TGRS.2017.2683444).
Abstract
Sentinel-2 is a wide-swath and fine spatial resolution satellite imaging mission designed for data continuity and enhancement of the Landsat and other missions. The Sentinel-2 data are freely available at the global scale, and have similar wavelengths and the same geographic coordinate system as the Landsat data, which provides an excellent opportunity to fuse these two types of satellite sensor data together. In this paper, a new approach is presented for fusion of Landsat 8 Operational Land Imager (OLI) and Sentinel-2 Multispectral Imager (MSI) data to coordinate their spatial resolutions for continuous global monitoring. The 30 m spatial resolution Landsat 8 bands are downscaled to 10 m using available 10 m Sentinel-2 bands. To account for the land-cover/land-use (LCLU) changes that may have occurred between the Landsat 8 and Sentinel-2 images, the Landsat 8 PAN band was also incorporated in the fusion process. The experimental results showed that the proposed approach is effective for fusing Landsat 8 with Sentinel-2 data, and the use of the PAN band can decrease the errors introduced by LCLU changes. By fusion of Landsat 8 and Sentinel-2 data, more frequent observations can be produced for continuous monitoring (this is particularly valuable for areas that can be covered easily by clouds, thereby, contaminating some Landsat or Sentinel-2 observations), and the observations are at a consistent fine spatial resolution of 10 m. The products have great potential for timely monitoring of rapid changes.
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Accepted/In Press date: 12 March 2017
e-pub ahead of print date: 7 April 2017
Organisations:
Global Env Change & Earth Observation, Geography & Environment, Southampton Marine & Maritime Institute
Identifiers
Local EPrints ID: 408444
URI: http://eprints.soton.ac.uk/id/eprint/408444
ISSN: 0196-2892
PURE UUID: ca9cb0ca-75f5-41bc-97c0-cc756a2b1816
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Date deposited: 20 May 2017 04:04
Last modified: 16 Mar 2024 03:35
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Contributors
Author:
Qunming Wang
Author:
George Alan Blackburn
Author:
Alex O. Onojeghuo
Author:
Lingquan Zhou
Author:
Yihang Zhang
Author:
Peter M. Atkinson
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