Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8866413 | Remote Sensing of Environment | 2018 | 15 Pages |
Abstract
How characteristics of the satellite dataset (cloud cover threshold, temporal resolution, and missing acquisitions) influenced the phenology metrics obtained was also assessed. Our results indicate that, with a full-resolution time series (5-day revisit time), cloud cover introduced a bias in the phenology metrics of less than 2â¯days. Even when the temporal resolution was reduced to 15â¯days (like the Landsat revisit time) the timing of the start and the peak of macrophyte growth could still be mapped with an error of no more than 2-3â¯days.
Related Topics
Physical Sciences and Engineering
Earth and Planetary Sciences
Computers in Earth Sciences
Authors
Paolo Villa, Monica Pinardi, Rossano Bolpagni, Jean-Marc Gillier, Peggy Zinke, Florin Nedelcuţ, Mariano Bresciani,