Biogeosciences
Biogeosciences
BG
Articles | Volume 17, issue 23
Articles | Volume 17, issue 23
https://doi.org/10.5194/bg-17-6185-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-17-6185-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 23
Research article
 | 
09 Dec 2020
Research article |  | 09 Dec 2020

Landsat near-infrared (NIR) band and ELM-FATES sensitivity to forest disturbances and regrowth in the Central Amazon

Robinson I. Negrón-Juárez, Jennifer A. Holm, Boris Faybishenko, Daniel Magnabosco-Marra, Rosie A. Fisher, Jacquelyn K. Shuman, Alessandro C. de Araujo, William J. Riley, and Jeffrey Q. Chambers

Viewed

Total article views: 3,140 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,090 955 95 3,140 124 75 82
  • HTML: 2,090
  • PDF: 955
  • XML: 95
  • Total: 3,140
  • Supplement: 124
  • BibTeX: 75
  • EndNote: 82
Views and downloads (calculated since 10 Dec 2019)
Cumulative views and downloads (calculated since 10 Dec 2019)

Viewed (geographical distribution)

Total article views: 3,140 (including HTML, PDF, and XML) Thereof 2,860 with geography defined and 280 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 08 Mar 2025
Download
Short summary
The temporal variability in the Landsat satellite near-infrared (NIR) band captured the dynamics of forest regrowth after disturbances in Central Amazon. This variability was represented by the dynamics of forest regrowth after disturbances were properly represented by the ELM-FATES model (Functionally Assembled Terrestrial Ecosystem Simulator (FATES) in the Energy Exascale Earth System Model (E3SM) Land Model (ELM)).
Read more
Share
Altmetrics
Final-revised paper
Preprint