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

Helder, Dennis L.; Markham, Brian L.; Morfitt, Ron; Storey, James C.; Barsi, Julia A.; Gascon, Ferran; Clerc, Sébastien; Lafrance, Bruno; Masek, Jeffrey G.; Roy, David P.; Lewis, Adam; Pahlevan, Nima

doi:10.3390/rs10091340

Cited by 60 publications

(42 citation statements)

References 63 publications

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“…The calibration results obtained over the Libya-4 site using the OSCAR methodology confirm the slight bias between S2B and S2A as observed by [23,25], with S2B having slightly lower TOA reflectance values than S2A. The strong consistency between S2 and LS8 as reported in [23,25,26], with a slightly greater difference for the LS8 CA band (Band1, 0.443 µm) is also confirmed here. To our knowledge, cross-calibration results for Deimos-1 and PROBA-V with respect to S2 and LS8 have not been published before.…”

Section: Discussionsupporting

confidence: 86%

Radiometric Top-of-Atmosphere Reflectance Consistency Assessment for Landsat 8/OLI, Sentinel-2/MSI, PROBA-V, and DEIMOS-1 over Libya-4 and RadCalNet Calibration Sites

Sterckx

Wolters

2019

Remote Sensing

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There is a clear trend toward the use of higher spatial resolution satellite sensors. Due to the low revisit time of these sensors and frequent cloud coverage, many applications require data from different sensors to be combined in order to have more frequent observations. This raises concerns regarding data interoperability and consistency. The initial pre-requisite is that there are no radiometric differences in top-of-atmosphere (TOA) observations. This paper aims to quantitatively assess differences in the TOA signal provided by PROBA-V, Sentinel-2A and Sentinel-2B, Landsat-8, and Deimos-1 by using observations over both the Libya-4 desert calibration site and the RadCalNet sites. The results obtained over the Libya-4 site indicate that for all sensors investigated, the inter-sensor deviations are negligible, i.e., within ±2% for comparable spectral bands, with the exception of the Deimos-1 Green band. Clear BRDF (bi-directional reflectance distribution function) effects were observed over the RadCalNet sites, thereby preventing consistent conclusions on inter-sensor deviations from being made. In order to fully explore the potential of the RadCalNet sites, it is recommended that BRDF characterizations be additionally incorporated into the RadCalNet simulations and made publicly available through the distribution portal.

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Section: Discussionsupporting

confidence: 86%

Radiometric Top-of-Atmosphere Reflectance Consistency Assessment for Landsat 8/OLI, Sentinel-2/MSI, PROBA-V, and DEIMOS-1 over Libya-4 and RadCalNet Calibration Sites

Sterckx

Wolters

2019

Remote Sensing

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“…More specifically, lower values in the visible range were consistently observed for OLI, corresponding to a slight increase in the NDVI. However, the variations of the on-orbit gains (in the order of 0.5%) are lower than our observed dynamics [94]. It is also likely that the VF is less affected by a possible shift in the Landsat series surface reflectance data.…”

Section: B Trends In Time Seriescontrasting

confidence: 65%

Characterizing Flood Impact on Swiss Floodplains Using Interannual Time Series of Satellite Imagery

Milani

Kneubühler

Tonolla

et al. 2020

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Pressure on the biodiversity of ecosystems along many rivers is growing continuously due to the increasing number of hydropower facilities regulating downstream flow and sediment regimes. Despite a thorough understanding of the shortterm processes and interactions at this hydro-biosphere interface, long-term analyses of the impacts on floodplain dynamics are lacking. We used inter-annual Landsat 4, 5, 7 and 8 time series to analyze the effects of hydrological events on floodplain vegetation in four mountainous floodplains in the Swiss Alps. Using a spectral mixture analysis approach, we demonstrate that the floodplain vegetation dynamics of mountainous rivers can be recovered at a spatial resolution of 30 meters. Our results suggest that interactions between floods and floodplain vegetation are complex and not exclusively related to flood magnitude. Of the four reaches analyzed, only data gathered along the submountainous reach with a quasi-natural flow regime show a clear link between remotely sensed vegetation indices and floods. In addition, our 29-year time series shows a continuous upward trend in vegetation indices along the floodplains, strongest in the reaches affected by hydropower facilities. The approach presented in this study can be easily replicated in other mountain ranges by providing available flow data to verify the impact of hydropower on floodplain vegetation dynamics.

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“…The Landsat ARD provide an important step in this direction. However, ensuring data interoperability and seamless sensor combination or harmonization with non-Landsat data is non-trivial, and, for example, research on this for Landsat and the Landsatlike Sentinel 2 data is underway [7,[60][61][62].…”

Section: Discussionmentioning

confidence: 99%

Analysis Ready Data: Enabling Analysis of the Landsat Archive

Dwyer¹,

Roy²,

Sauer³

et al. 2018

Preprint

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126

121

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Abstract:Data that have been processed to allow analysis with a minimum of additional user effort are often referred to as Analysis Ready Data (ARD). The ability to perform large scale Landsat analysis relies on the ability to access observations that are geometrically and radiometrically consistent, and have had non-target features (clouds) and poor quality observations flagged so that they can be excluded. The United States Geological Survey (USGS) has processed all of the Landsat 4 and 5 Thematic Mapper (TM), Landsat 7 Enhanced Thematic Mapper Plus (ETM+), Landsat 8 Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS) archive over the conterminous United States (CONUS), Alaska, and Hawaii, into Landsat ARD. The ARD are available to significantly reduce the burden of pre-processing on users of Landsat data. Provision of pre-prepared ARD is intended to make it easier for users to produce Landsat-based maps of land cover and land-cover change and other derived geophysical and biophysical products. The ARD are provided as tiled, georegistered, top of atmosphere and atmospherically corrected products defined in a common equal area projection, accompanied by spatially explicit quality assessment information, and appropriate metadata to enable further processing while retaining traceability of data provenance.

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

Cited by 60 publications

References 63 publications

Radiometric Top-of-Atmosphere Reflectance Consistency Assessment for Landsat 8/OLI, Sentinel-2/MSI, PROBA-V, and DEIMOS-1 over Libya-4 and RadCalNet Calibration Sites

Radiometric Top-of-Atmosphere Reflectance Consistency Assessment for Landsat 8/OLI, Sentinel-2/MSI, PROBA-V, and DEIMOS-1 over Libya-4 and RadCalNet Calibration Sites

Characterizing Flood Impact on Swiss Floodplains Using Interannual Time Series of Satellite Imagery

Analysis Ready Data: Enabling Analysis of the Landsat Archive

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