Document Type
Article
Publication Version
Version of Record
Publication Date
7-2016
Description
The standard geolocated Sentinel-2 Multi Spectral Instrument (MSI) L1C data products are defined in spatially overlapping tiles in different Universal Transverse Mercator (UTM) map projection zones. Best practices for reprojection and resampling to properly utilize and benefit from the L1C data format are presented. Three sets of 10 m Sentinel-2 L1C data acquired in the same orbit at different latitudes are examined to illustrate and quantify (a) the spatial properties of the L1C data and provide insights into the occurrence of overlapping tiles and overlapping tiles defined in different UTM zones from the same MSI swath, (b) the geometric implications of resampling and reprojection approaches that consider only the data from one L1C tile and not the data from other tiles in the overlap region that are defined in different UTM zones and (c) a recommended approach that considers all the overlapping L1C tile data and is shown statistically and qualitatively to improve the geometric fidelity of the reprojected resampled L1C data.
Publication Title
Remote Sensing Letters
Volume
7
Issue
11
First Page
1023
Last Page
1032
DOI of Published Version
/10.1080/2150704X.2016.1212419
Pages
10
Type
text
Format
application/pdf
Language
en
Publisher
Taylor and Francis
Rights
Copyright © 2016 The Author(s)
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Recommended Citation
Roy, David P.; Li, Jian; Zhang, Hankui; and Yan, Lin Dr., "Best practices for the Reprojection and Resampling of Sentinel-2 Multi Spectral Instrument Level 1C Data" (2016). GSCE Faculty Publications. 40.
https://openprairie.sdstate.edu/gsce_pubs/40
Comments
This article was published in Remote Sensing Letters, 7:11, 1023-1032, DOI: 10.1080/2150704X.2016.1212419