Published March 14, 2023 | Version Version 1
Dataset Restricted

Gridded Global Revisit Periods of Landsat, Sentinel-1, Sentinel-2 Satellites and their Combination

  • 1. Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
  • 2. School of Geographical Sciences, University of Bristol, Bristol, UK; Research and Education Department, RSS-Hydro, Dudelange, Luxembourg
  • 3. INSTAAR, Dartmouth Flood Observatory, University of Colorado, Boulder, CO, USA

Description

This is a global dataset of revisit periods of individual satellites and their combination based on a 0.5-degree resolution grid.
Revisit periods are defined as the time between two consecutive observations of a particular point on the surface, for the satellite missions Landsat, Sentinel-2  and Sentinel-1. The grid was created using ArcMap 10.8.1 and intersections of the grid were used to create points. For each individual point, average revisit times (i.e., to account for irregular revisits, downlink issues) were calculated for each individual satellite and the composite of the three satellites. Averaged revisit times for each of these points were calculated based on the number of image tiles that intersected a particular grid point with more than a 30-minute time difference between each other acquired between 01 Jan 2016 and 31 Dec 2020.
The following equation is used to calculate revisit periods:

Average revisit time for a grid point = (Number of days between 01 Jan 2016 and 31 Dec 2020 (1827)) / (Total Number of Images captured)

Only revisits occurring between 82.5 N and 55 S of land grid points are considered; Antarctica is omitted from analysis. For satellite missions that consist of two spacecraft orbiting simultaneously (Sentinel-1 A/B, and Sentinel-2 A/B), images acquired by both satellites were used in average revisit period calculation for a given grid point. Sum totals of image tiles of all three missions are used to calculate composite point-based revisit times.

Notes

This dataset was produced as part of the manuscript "A multi-sensor approach for increased measurements of floods and their societal impacts from space" which is currently in review.

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