Fusing Sentinel-2 and Landsat 8 Satellite Images Using a Model-Based Method
The Copernicus Sentinel-2 (S2) constellation comprises of two satellites in a sun-synchronous orbit. The S2 sensors have three spatial resolutions: 10, 20, and 60 m. The Landsat 8 (L8) satellite has sensors that provide seasonal coverage at spatial resolutions of 15, 30, and 60 m. Many remote sensin...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-07-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/14/13/3224 |
| _version_ | 1797408271073542144 |
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| author | Jakob Sigurdsson Sveinn E. Armannsson Magnus O. Ulfarsson Johannes R. Sveinsson |
| author_facet | Jakob Sigurdsson Sveinn E. Armannsson Magnus O. Ulfarsson Johannes R. Sveinsson |
| author_sort | Jakob Sigurdsson |
| collection | DOAJ |
| description | The Copernicus Sentinel-2 (S2) constellation comprises of two satellites in a sun-synchronous orbit. The S2 sensors have three spatial resolutions: 10, 20, and 60 m. The Landsat 8 (L8) satellite has sensors that provide seasonal coverage at spatial resolutions of 15, 30, and 60 m. Many remote sensing applications require the spatial resolutions of all data to be at the highest resolution possible, i.e., 10 m for S2. To address this demand, researchers have proposed various methods that exploit the spectral and spatial correlations within multispectral data to sharpen the S2 bands to 10 m. In this study, we combined S2 and L8 data. An S2 sharpening method called Sentinel-2 Sharpening (S2Sharp) was modified to include the 30 m and 15 m spectral bands from L8 and to sharpen all bands (S2 and L8) to the highest resolution of the data, which was 10 m. The method was evaluated using both real and simulated data. |
| first_indexed | 2024-03-09T03:56:01Z |
| format | Article |
| id | doaj.art-e24fc3467c0845dcbebec74035ba4eff |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T03:56:01Z |
| publishDate | 2022-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-e24fc3467c0845dcbebec74035ba4eff2023-12-03T14:21:21ZengMDPI AGRemote Sensing2072-42922022-07-011413322410.3390/rs14133224Fusing Sentinel-2 and Landsat 8 Satellite Images Using a Model-Based MethodJakob Sigurdsson0Sveinn E. Armannsson1Magnus O. Ulfarsson2Johannes R. Sveinsson3Faculty of Electrical and Computer Engineering, University of Iceland, Hjardarhagi 2-6, 107 Reykjavik, IcelandFaculty of Electrical and Computer Engineering, University of Iceland, Hjardarhagi 2-6, 107 Reykjavik, IcelandFaculty of Electrical and Computer Engineering, University of Iceland, Hjardarhagi 2-6, 107 Reykjavik, IcelandFaculty of Electrical and Computer Engineering, University of Iceland, Hjardarhagi 2-6, 107 Reykjavik, IcelandThe Copernicus Sentinel-2 (S2) constellation comprises of two satellites in a sun-synchronous orbit. The S2 sensors have three spatial resolutions: 10, 20, and 60 m. The Landsat 8 (L8) satellite has sensors that provide seasonal coverage at spatial resolutions of 15, 30, and 60 m. Many remote sensing applications require the spatial resolutions of all data to be at the highest resolution possible, i.e., 10 m for S2. To address this demand, researchers have proposed various methods that exploit the spectral and spatial correlations within multispectral data to sharpen the S2 bands to 10 m. In this study, we combined S2 and L8 data. An S2 sharpening method called Sentinel-2 Sharpening (S2Sharp) was modified to include the 30 m and 15 m spectral bands from L8 and to sharpen all bands (S2 and L8) to the highest resolution of the data, which was 10 m. The method was evaluated using both real and simulated data.https://www.mdpi.com/2072-4292/14/13/3224data fusionimage sharpeningmultispectral (MS) multiresolution imagessuper-resolutionSentinel-2Landsat 8 |
| spellingShingle | Jakob Sigurdsson Sveinn E. Armannsson Magnus O. Ulfarsson Johannes R. Sveinsson Fusing Sentinel-2 and Landsat 8 Satellite Images Using a Model-Based Method Remote Sensing data fusion image sharpening multispectral (MS) multiresolution images super-resolution Sentinel-2 Landsat 8 |
| title | Fusing Sentinel-2 and Landsat 8 Satellite Images Using a Model-Based Method |
| title_full | Fusing Sentinel-2 and Landsat 8 Satellite Images Using a Model-Based Method |
| title_fullStr | Fusing Sentinel-2 and Landsat 8 Satellite Images Using a Model-Based Method |
| title_full_unstemmed | Fusing Sentinel-2 and Landsat 8 Satellite Images Using a Model-Based Method |
| title_short | Fusing Sentinel-2 and Landsat 8 Satellite Images Using a Model-Based Method |
| title_sort | fusing sentinel 2 and landsat 8 satellite images using a model based method |
| topic | data fusion image sharpening multispectral (MS) multiresolution images super-resolution Sentinel-2 Landsat 8 |
| url | https://www.mdpi.com/2072-4292/14/13/3224 |
| work_keys_str_mv | AT jakobsigurdsson fusingsentinel2andlandsat8satelliteimagesusingamodelbasedmethod AT sveinnearmannsson fusingsentinel2andlandsat8satelliteimagesusingamodelbasedmethod AT magnusoulfarsson fusingsentinel2andlandsat8satelliteimagesusingamodelbasedmethod AT johannesrsveinsson fusingsentinel2andlandsat8satelliteimagesusingamodelbasedmethod |