A Global Analysis of Sentinel-2A, Sentinel-2B and Landsat-8 Data Revisit Intervals and Implications for Terrestrial Monitoring
By Jian Li, David P. Roy. Remote Sensing, 2017
588 citations recorded by the source corpus.
Combination of different satellite data will provide increased opportunities for more frequent cloud-free surface observations due to variable cloud cover at the different satellite overpass times and dates. Satellite data from the polar-orbiting Landsat-8 (launched 2013), Sentinel-2A (launched 2015) and Sentinel-2B (launched 2017) sensors offer 10 m to 30 m multi-spectral global coverage. Together, they advance the virtual constellation paradigm for mid-resolution land imaging. In this study, a global analysis of Landsat-8, Sentinel-2A and Sentinel-2B metadata obtained from the committee on Earth Observation Satellite (CEOS) Visualization Environment (COVE) tool for 2016 is presented. A global equal area projection grid defined every 0.05° is used considering each sensor and combined together. Histograms, maps and global summary statistics of the temporal revisit intervals (minimum, mean, and maximum) and the number of observations are reported. The temporal observation frequency improvements afforded by sensor combination are shown to be significant. In particular, considering Landsat-8, Sentinel-2A, and Sentinel-2B together will provide a global median average revisit interval of 2.9 days, and, over a year, a global median minimum revisit interval of 14 min (±1 min) and maximum revisit interval of 7.0 days.
Subfields: Ecology, Environmental Engineering, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/20bd52b893eb22b57af996a2e6639c94f2976d55
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Citations in the corpus
- Current status of Landsat program, science, and applications (2019, unknown): “(Li and Roy, 2017), empowering users through increased data availability.”
- Land cover 2.0 (2018, background): “…Sentinel 2 and Landsat systems will enable a virtual constellation (Wulder et al. 2015) allowing the integration of their data to meet science and application needs and providing, for the fi rst time, near weekly cloud-free medium resolution surface global coverage observations (Li and Roy 2017).”