Landsat 15-m Panchromatic-Assisted Downscaling (LPAD) of the 30-m Reflective Wavelength Bands to Sentinel-2 20-m Resolution
The Landsat 15-m Panchromatic-Assisted Downscaling (LPAD) method to downscale Landsat-8 Operational Land Imager (OLI) 30-m data to Sentinel-2 multi-spectral instrument (MSI) 20-m resolution is presented. The method first downscales the Landsat-8 30-m OLI bands to 15-m using the spatial detail provid...
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MDPI AG
2017-07-01
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Series: | Remote Sensing |
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Online Access: | https://www.mdpi.com/2072-4292/9/7/755 |
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author | Zhongbin Li Hankui K. Zhang David P. Roy Lin Yan Haiyan Huang Jian Li |
author_facet | Zhongbin Li Hankui K. Zhang David P. Roy Lin Yan Haiyan Huang Jian Li |
author_sort | Zhongbin Li |
collection | DOAJ |
description | The Landsat 15-m Panchromatic-Assisted Downscaling (LPAD) method to downscale Landsat-8 Operational Land Imager (OLI) 30-m data to Sentinel-2 multi-spectral instrument (MSI) 20-m resolution is presented. The method first downscales the Landsat-8 30-m OLI bands to 15-m using the spatial detail provided by the Landsat-8 15-m panchromatic band and then reprojects and resamples the downscaled 15-m data into registration with Sentinel-2A 20-m data. The LPAD method is demonstrated using pairs of contemporaneous Landsat-8 OLI and Sentinel-2A MSI images sensed less than 19 min apart over diverse geographic environments. The LPAD method is shown to introduce less spectral and spatial distortion and to provide visually more coherent data than conventional bilinear and cubic convolution resampled 20-m Landsat OLI data. In addition, results for a pair of Landsat-8 and Sentinel-2A images sensed one day apart suggest that image fusion should be undertaken with caution when the images are acquired under different atmospheric conditions. The LPAD source code is available at GitHub for public use. |
first_indexed | 2024-12-22T07:38:36Z |
format | Article |
id | doaj.art-bc8876ebd7b743e299ad41a48fc72f12 |
institution | Directory Open Access Journal |
issn | 2072-4292 |
language | English |
last_indexed | 2024-12-22T07:38:36Z |
publishDate | 2017-07-01 |
publisher | MDPI AG |
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series | Remote Sensing |
spelling | doaj.art-bc8876ebd7b743e299ad41a48fc72f122022-12-21T18:33:48ZengMDPI AGRemote Sensing2072-42922017-07-019775510.3390/rs9070755rs9070755Landsat 15-m Panchromatic-Assisted Downscaling (LPAD) of the 30-m Reflective Wavelength Bands to Sentinel-2 20-m ResolutionZhongbin Li0Hankui K. Zhang1David P. Roy2Lin Yan3Haiyan Huang4Jian Li5Geospatial Sciences Center of Excellence, South Dakota State University, Brookings, SD 57007, USAGeospatial Sciences Center of Excellence, South Dakota State University, Brookings, SD 57007, USAGeospatial Sciences Center of Excellence, South Dakota State University, Brookings, SD 57007, USAGeospatial Sciences Center of Excellence, South Dakota State University, Brookings, SD 57007, USAGeospatial Sciences Center of Excellence, South Dakota State University, Brookings, SD 57007, USAGeospatial Sciences Center of Excellence, South Dakota State University, Brookings, SD 57007, USAThe Landsat 15-m Panchromatic-Assisted Downscaling (LPAD) method to downscale Landsat-8 Operational Land Imager (OLI) 30-m data to Sentinel-2 multi-spectral instrument (MSI) 20-m resolution is presented. The method first downscales the Landsat-8 30-m OLI bands to 15-m using the spatial detail provided by the Landsat-8 15-m panchromatic band and then reprojects and resamples the downscaled 15-m data into registration with Sentinel-2A 20-m data. The LPAD method is demonstrated using pairs of contemporaneous Landsat-8 OLI and Sentinel-2A MSI images sensed less than 19 min apart over diverse geographic environments. The LPAD method is shown to introduce less spectral and spatial distortion and to provide visually more coherent data than conventional bilinear and cubic convolution resampled 20-m Landsat OLI data. In addition, results for a pair of Landsat-8 and Sentinel-2A images sensed one day apart suggest that image fusion should be undertaken with caution when the images are acquired under different atmospheric conditions. The LPAD source code is available at GitHub for public use.https://www.mdpi.com/2072-4292/9/7/755Landsat-8Sentinel-220-m resolutiondownscalingimage registrationresampling |
spellingShingle | Zhongbin Li Hankui K. Zhang David P. Roy Lin Yan Haiyan Huang Jian Li Landsat 15-m Panchromatic-Assisted Downscaling (LPAD) of the 30-m Reflective Wavelength Bands to Sentinel-2 20-m Resolution Remote Sensing Landsat-8 Sentinel-2 20-m resolution downscaling image registration resampling |
title | Landsat 15-m Panchromatic-Assisted Downscaling (LPAD) of the 30-m Reflective Wavelength Bands to Sentinel-2 20-m Resolution |
title_full | Landsat 15-m Panchromatic-Assisted Downscaling (LPAD) of the 30-m Reflective Wavelength Bands to Sentinel-2 20-m Resolution |
title_fullStr | Landsat 15-m Panchromatic-Assisted Downscaling (LPAD) of the 30-m Reflective Wavelength Bands to Sentinel-2 20-m Resolution |
title_full_unstemmed | Landsat 15-m Panchromatic-Assisted Downscaling (LPAD) of the 30-m Reflective Wavelength Bands to Sentinel-2 20-m Resolution |
title_short | Landsat 15-m Panchromatic-Assisted Downscaling (LPAD) of the 30-m Reflective Wavelength Bands to Sentinel-2 20-m Resolution |
title_sort | landsat 15 m panchromatic assisted downscaling lpad of the 30 m reflective wavelength bands to sentinel 2 20 m resolution |
topic | Landsat-8 Sentinel-2 20-m resolution downscaling image registration resampling |
url | https://www.mdpi.com/2072-4292/9/7/755 |
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