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

被引：131

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

来源：

REMOTE SENSING OF ENVIRONMENT | 2016年 / 186卷

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

页码：121 / 122

页数：2

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