Journal cover Journal topic
Nonlinear Processes in Geophysics An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 1.699 IF 1.699
  • IF 5-year value: 1.559 IF 5-year
    1.559
  • CiteScore value: 1.61 CiteScore
    1.61
  • SNIP value: 0.884 SNIP 0.884
  • IPP value: 1.49 IPP 1.49
  • SJR value: 0.648 SJR 0.648
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 52 Scimago H
    index 52
  • h5-index value: 21 h5-index 21
Volume 24, issue 1
Nonlin. Processes Geophys., 24, 113–123, 2017
https://doi.org/10.5194/npg-24-113-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Nonlin. Processes Geophys., 24, 113–123, 2017
https://doi.org/10.5194/npg-24-113-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 28 Feb 2017

Research article | 28 Feb 2017

A matrix clustering method to explore patterns of land-cover transitions in satellite-derived maps of the Brazilian Amazon

Finn Müller-Hansen et al.
Viewed  
Total article views: 2,483 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,034 1,292 157 2,483 324 123 134
  • HTML: 1,034
  • PDF: 1,292
  • XML: 157
  • Total: 2,483
  • Supplement: 324
  • BibTeX: 123
  • EndNote: 134
Views and downloads (calculated since 11 Oct 2016)
Cumulative views and downloads (calculated since 11 Oct 2016)
Viewed (geographical distribution)  
Total article views: 2,293 (including HTML, PDF, and XML) Thereof 2,274 with geography defined and 19 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Cited  
Saved (final revised paper)  
No saved metrics found.
Saved (discussion paper)  
No saved metrics found.
Discussed (final revised paper)  
No discussed metrics found.
Discussed (discussion paper)  
No discussed metrics found.
Latest update: 24 Jan 2020
Publications Copernicus
Download
Short summary
Deforestation and subsequent land uses in the Brazilian Amazon have huge impacts on greenhouse gas emissions, local climate and biodiversity. To better understand these land-cover changes, we apply complex systems methods uncovering spatial patterns in regional transition probabilities between land-cover types, which we estimate using maps derived from satellite imagery. The results show clusters of similar land-cover dynamics and thus complement studies at the local scale.
Deforestation and subsequent land uses in the Brazilian Amazon have huge impacts on greenhouse...
Citation