A note on the temporary misregistration of Landsat-8 Operational Land Imager (OLI) and Sentinel-2 Multi Spectral Instrument (MSI) imagery

被引:125
|
作者
Storey, James [1 ]
Roy, David P. [2 ]
Masek, Jeffrey [3 ]
Gascon, Ferran [4 ]
Dwyer, John [5 ]
Choate, Michael [1 ]
机构
[1] US Geol Survey, Earth Resources Observat & Sci EROS Ctr, Stinger Ghaffarian Technol, Sioux Falls, SD 57030 USA
[2] South Dakota State Univ, Geospatial Sci Ctr Excellence, Brookings, SD 57007 USA
[3] NASA, Goddard Space Flight Ctr, Biospher Sci Lab, Code 661, Greenbelt, MD 20771 USA
[4] European Space Agcy, European Space Res Inst ESRIN, Frascati, Italy
[5] US Geol Survey, Earth Resources Observat & Sci EROS Ctr, Sioux Falls, SD 57030 USA
关键词
Landsat; Sentinel-2; Image registration;
D O I
10.1016/j.rse.2016.08.025
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The Landsat-8 and Sentinel-2 sensors provide multi-spectral image data with similar spectral and spatial characteristics that together provide improved temporal coverage globally. Both systems are designed to register Level 1 products to a reference image framework, however, the Landsat-8 framework, based upon the Global Land Survey images, contains residual geolocation errors leading to an expected sensor-to-sensor misregistration of 38 m (24 These misalignments vary geographically but should be stable for a given area. The Landsat framework will be readjusted for consistency with the Sentinel-2 Global Reference Image, with completion expected in 2018. In the interim, users can measure Landsat-to-Sentinel tie points to quantify the misalignment in their area of interest and if appropriate to reproject the data to better alignment. (C) 2016 Elsevier Inc. All rights reserved.
引用
收藏
页码:121 / 122
页数:2
相关论文
共 50 条
  • [41] Spectral Unmixing for Mapping a Hydrothermal Field in a Volcanic Environment Applied on ASTER, Landsat-8/OLI, and Sentinel-2 MSI Satellite Multispectral Data: The Nisyros (Greece) Case Study
    Tompolidi, Athanasia-Maria
    Sykioti, Olga
    Koutroumbas, Konstantinos
    Parcharidis, Issaak
    [J]. REMOTE SENSING, 2020, 12 (24) : 1 - 25
  • [42] Exploring the utility of Sentinel-2 MSI and Landsat 8 OLI in burned area mapping for a heterogenous savannah landscape
    Ngadze, Fiona
    Mpakairi, Kudzai Shaun
    Kavhu, Blessing
    Ndaimani, Henry
    Maremba, Monalisa Shingirayi
    [J]. PLOS ONE, 2020, 15 (05):
  • [43] Spectral harmonization and red edge prediction of Landsat-8 to Sentinel-2 using land cover optimized multivariate regressors
    Scheffler, Daniel
    Frantz, David
    Segl, Karl
    [J]. REMOTE SENSING OF ENVIRONMENT, 2020, 241
  • [44] Spectral harmonization and red edge prediction of Landsat-8 to Sentinel-2 using land cover optimized multivariate regressors
    Scheffler, Daniel
    Frantz, David
    Segl, Karl
    [J]. Remote Sensing of Environment, 2020, 241
  • [45] Automatic sub-pixel co-registration of Landsat-8 Operational Land Imager and Sentinel-2A Multi-Spectral Instrument images using phase correlation and machine learning based mapping
    Skakun, Sergii
    Roger, Jean-Claude
    Vermote, Eric F.
    Masek, Jeffrey G.
    Justice, Christopher O.
    [J]. INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2017, 10 (12) : 1253 - 1269
  • [46] Validation of the Sentinel Simplified Level 2 Product Prototype Processor (SL2P) for mapping cropland biophysical variables using Sentinel-2/MSI and Landsat-8/OLI data
    Djamai, Najib
    Fernandes, Richard
    Weiss, Marie
    McNairn, Heather
    Goita, Kalifa
    [J]. REMOTE SENSING OF ENVIRONMENT, 2019, 225 : 416 - 430
  • [47] Mapping and characterizing the Kilauea (Hawai'i) lava lake through Sentinel-2 MSI and Landsat-8 OLI observations of December 2020-February 2021
    Marchese, Francesco
    Genzano, Nicola
    Nolde, Michael
    Falconieri, Alfredo
    Pergola, Nicola
    Plank, Simon
    [J]. ENVIRONMENTAL MODELLING & SOFTWARE, 2022, 148
  • [48] COMPARISON OF THE CLASSIFICATION OF LAND USE AND COVERAGE IN LANDSAT-8 AND SENTINEL-2 IMAGES IN THE CERRADO MARENHENSE
    Pereira, Paulo Roberto Mendes
    Oliveira, Mariana Monteiro Navarro de
    Bolfe, Edson Luis
    Macarringue, Lucrencio Silvestre
    [J]. GEO UERJ, 2023, (42):
  • [49] Machine learning-based detection of soil salinity in an arid desert region, Northwest China: A comparison between Landsat-8 OLI and Sentinel-2 MSI
    Wang, Jingzhe
    Ding, Jianli
    Yu, Danlin
    Teng, Dexiong
    He, Bin
    Chen, Xiangyue
    Ge, Xiangyu
    Zhang, Zipeng
    Wang, Yi
    Yang, Xiaodong
    Shi, Tiezhu
    Su, Fenzhen
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 707 (707)
  • [50] ASSESSMENT OF CLASSIFICATION ACCURACIES OF SENTINEL-2 AND LANDSAT-8 DATA FOR LAND COVER/USE MAPPING
    Topaloglu, Raziye Hale
    Sertel, Elif
    Musaoglu, Nebiye
    [J]. XXIII ISPRS CONGRESS, COMMISSION VIII, 2016, 41 (B8): : 1055 - 1059