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

Viewed

Total article views: 2,909 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,236 578 95 2,909 58 66
  • HTML: 2,236
  • PDF: 578
  • XML: 95
  • Total: 2,909
  • BibTeX: 58
  • EndNote: 66
Views and downloads (calculated since 18 Aug 2022)
Cumulative views and downloads (calculated since 18 Aug 2022)

Viewed (geographical distribution)

Total article views: 2,909 (including HTML, PDF, and XML) Thereof 2,809 with geography defined and 100 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 Nov 2024
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