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Remote Sens. 2018, 10(9), 1340; https://doi.org/10.3390/rs10091340

Observations and Recommendations for the Calibration of Landsat 8 OLI and Sentinel 2 MSI for Improved Data Interoperability

1
United States Geological Survey Earth Resources Observation and Science Center, 47914 252nd Street, Sioux Falls, SD 57198, USA
2
NASA Goddard Space Flight Center, Code 618, Greenbelt, MD 20771, USA
3
Stinger Ghaffarian Technologies Inc., 47914 252nd Street, Sioux Falls, SD 57198, USA
4
SSAI, 10210 Greenbelt Rd, Lanham, MD 20706, USA
5
ESA/ESRIN, Largo Galileo Galilei 1, 00044 Frascati, Italy
6
ACRI-ST, 260 Route du Pin Montard, BP 234, 06904 Sophia-Antipolis, France
7
CS-SI, Parc de la Plaine, Rue de Brindejonc des Moulinais, BP 5872, 31506 Toulouse CEDEX 5, France
8
South Dakota State University, Brookings, South Dakota, 57007, USA
9
Geoscience Australia, G.P.O. Box 378, Canberra, ACT 2601, Australia
*
Author to whom correspondence should be addressed.
Received: 26 June 2018 / Revised: 31 July 2018 / Accepted: 8 August 2018 / Published: 22 August 2018
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Abstract

Combining data from multiple sensors into a single seamless time series, also known as data interoperability, has the potential for unlocking new understanding of how the Earth functions as a system. However, our ability to produce these advanced data sets is hampered by the differences in design and function of the various optical remote-sensing satellite systems. A key factor is the impact that calibration of these instruments has on data interoperability. To address this issue, a workshop with a panel of experts was convened in conjunction with the Pecora 20 conference to focus on data interoperability between Landsat and the Sentinel 2 sensors. Four major areas of recommendation were the outcome of the workshop. The first was to improve communications between satellite agencies and the remote-sensing community. The second was to adopt a collections-based approach to processing the data. As expected, a third recommendation was to improve calibration methodologies in several specific areas. Lastly, and the most ambitious of the four, was to develop a comprehensive process for validating surface reflectance products produced from the data sets. Collectively, these recommendations have significant potential for improving satellite sensor calibration in a focused manner that can directly catalyze efforts to develop data that are closer to being seamlessly interoperable. View Full-Text
Keywords: calibration; geometric; radiometric; Landsat; Sentinel; interoperability calibration; geometric; radiometric; Landsat; Sentinel; interoperability
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Helder, D.; Markham, B.; Morfitt, R.; Storey, J.; Barsi, J.; Gascon, F.; Clerc, S.; LaFrance, B.; Masek, J.; Roy, D.P.; Lewis, A.; Pahlevan, N. Observations and Recommendations for the Calibration of Landsat 8 OLI and Sentinel 2 MSI for Improved Data Interoperability. Remote Sens. 2018, 10, 1340.

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