Articles | Volume 15, issue 1
https://doi.org/10.5194/essd-15-345-2023
https://doi.org/10.5194/essd-15-345-2023
Data description paper
 | 
19 Jan 2023
Data description paper |  | 19 Jan 2023

AnisoVeg: anisotropy and nadir-normalized MODIS multi-angle implementation atmospheric correction (MAIAC) datasets for satellite vegetation studies in South America

Ricardo Dalagnol, Lênio Soares Galvão, Fabien Hubert Wagner, Yhasmin Mendes de Moura, Nathan Gonçalves, Yujie Wang, Alexei Lyapustin, Yan Yang, Sassan Saatchi, and Luiz Eduardo Oliveira Cruz Aragão

Download

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2022-166', Bruce Nelson, 13 Sep 2022
    • AC1: 'Reply on RC1', Ricardo Dal Agnol da Silva, 22 Sep 2022
  • RC2: 'Comment on essd-2022-166', Anonymous Referee #2, 29 Sep 2022
    • AC2: 'Reply on RC2', Ricardo Dal Agnol da Silva, 22 Nov 2022
  • RC3: 'Comment on essd-2022-166', Anonymous Referee #3, 03 Oct 2022
    • AC3: 'Reply on RC3', Ricardo Dal Agnol da Silva, 22 Nov 2022
      • RC5: 'Reply on AC3', Anonymous Referee #3, 22 Nov 2022
  • RC4: 'Comment on essd-2022-166', Anonymous Referee #4, 15 Oct 2022
    • AC4: 'Reply on RC4', Ricardo Dal Agnol da Silva, 22 Nov 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Ricardo Dal Agnol da Silva on behalf of the Authors (29 Nov 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (30 Nov 2022) by Dalei Hao
RR by Anonymous Referee #3 (09 Dec 2022)
RR by Anonymous Referee #1 (11 Dec 2022)
ED: Publish as is (17 Dec 2022) by Dalei Hao
AR by Ricardo Dal Agnol da Silva on behalf of the Authors (05 Jan 2023)
Download
Short summary
The AnisoVeg dataset brings 22 years of monthly satellite data from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor for South America at 1 km resolution aimed at vegetation applications. It has nadir-normalized data, which is the most traditional approach to correct satellite data but also unique anisotropy data with strong biophysical meaning, explaining 55 % of Amazon forest height. We expect this dataset to help large-scale estimates of vegetation biomass and carbon.
Altmetrics
Final-revised paper
Preprint