Fusion of Landsat 8 OLI and Sentinel-2 MSI data

Wang, Qunming and Blackburn, George Alan and Onojeghuo, Alex Okiemute and Dash, Jadunandan and Zhou, Lingquan and Zhang, Yihang and Atkinson, Peter Michael (2017) Fusion of Landsat 8 OLI and Sentinel-2 MSI data. IEEE Transactions on Geoscience and Remote Sensing, 55 (7). pp. 3885-3899. ISSN 0196-2892

[thumbnail of Manuscript]
PDF (Manuscript)
Manuscript.pdf - Accepted Version
Available under License Creative Commons Attribution-NonCommercial.

Download (3MB)


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 the fusion of Landsat 8 Operational Land Imager and Sentinel-2 Multispectral Imager 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 panchromatic (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.

Item Type:
Journal Article
Journal or Publication Title:
IEEE Transactions on Geoscience and Remote Sensing
Additional Information:
©2017 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Uncontrolled Keywords:
?? electrical and electronic engineeringearth and planetary sciences(all) ??
ID Code:
Deposited By:
Deposited On:
17 May 2018 15:36
Last Modified:
16 Feb 2024 00:47