Articles | Volume 13, issue 7
Earth Syst. Sci. Data, 13, 3593–3606, 2021
https://doi.org/10.5194/essd-13-3593-2021
Earth Syst. Sci. Data, 13, 3593–3606, 2021
https://doi.org/10.5194/essd-13-3593-2021

Data description paper 29 Jul 2021

Data description paper | 29 Jul 2021

A distributed time-lapse camera network to track vegetation phenology with high temporal detail and at varying scales

Frans-Jan W. Parmentier et al.

Download

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2021-56', Anonymous Referee #1, 06 Apr 2021
    • AC1: 'Reply on RC1', Frans-Jan W. Parmentier, 04 Jun 2021
  • RC2: 'Comment on essd-2021-56', Anonymous Referee #2, 28 Apr 2021
    • AC2: 'Reply on RC2', Frans-Jan W. Parmentier, 04 Jun 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Frans-Jan W. Parmentier on behalf of the Authors (04 Jun 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (10 Jun 2021) by David Carlson
RR by Anonymous Referee #1 (11 Jun 2021)
RR by Anonymous Referee #2 (14 Jun 2021)
ED: Publish as is (14 Jun 2021) by David Carlson
Download
Short summary
Satellites provide a global overview of Earth's ecosystems, but they have coarse resolutions and low revisit times. Small-scale vegetation patterns and sudden shifts in plant growth can easily be missed. In this paper, we show how to fill these gaps with vegetation indices obtained with ordinary time-lapse cameras deployed across a valley on Svalbard. We show how to adjust for unwanted camera movement and that vegetation indices from ordinary cameras compare well to those used by satellites.