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Nonlinear Processes in Geophysics An interactive open-access journal of the European Geosciences Union
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Volume 24, issue 1
Nonlin. Processes Geophys., 24, 113–123, 2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Nonlin. Processes Geophys., 24, 113–123, 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.

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Cited articles

Aguiar, A. P. D., Câmara, G., and Escada, M. I. S.: Spatial statistical analysis of land-use determinants in the Brazilian Amazonia: Exploring intra-regional heterogeneity, Ecol. Model., 209, 169–188,, 2007.
Aguiar, A. P. D., Vieira, I. C. G., Assis, T. O., Dalla-Nora, E. L., Toledo, P. M., Oliveira Santos-Junior, R. A., Batistella, M., Coelho, A. S., Savaget, E. K., Aragão, L. E. O. C., Nobre, C. A., and Ometto, J. P. H.: Land use change emission scenarios: Anticipating a forest transition process in the Brazilian Amazon, Glob. Change Biol., 22, 1821–1840,, 2016.
Almeida, C. A., Coutinho, A. C., Esquerdo, J. C. D. M., Adami, M., Venturieri, A., Diniz, C. G., Dessay, N., Durieux, L., and Gomes, A. R.: High spatial resolution land use and land cover mapping of the Brazilian Legal Amazon in 2008 using Landsat-5/TM and MODIS data, Acta Amazonica, 46, 291–302,, 2016.
Alves, D. S., Morton, D. C., Batistella, M., Roberts, D. A., and Souza Jr., C.: The Changing Rates and Patterns of Deforestation and Land Use in Brazilian Amazonia, in: Amazonia and Global Change, edited by: Keller, M., Bustamante, M., Gash, J., and Dias, P. S., chap. 2, 11–24, American Geophysical Union, Washington, DC,, 2009.
Anderson, T. W. and Goodman, L. A.: Statistical Inference about Markov Chains, Ann. Math. Stat., 28, 89–110, available at:, 1957.
Publications Copernicus
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...