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Reference TypeJournal Article
Sitemtc-m21b.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34P/3NNBMRE
Repositorysid.inpe.br/mtc-m21b/2017/04.17.18.38
Last Update2017:04.17.18.38.12 administrator
Metadatasid.inpe.br/mtc-m21b/2017/04.17.18.38.12
Metadata Last Update2018:06.04.02.27.23 administrator
DOI10.5194/npg-24-113-2017
ISSN1023-5809
Citation KeyMuller-HansenCaDaDoHeKuTh:2017:MaClMe
TitleA matrix clustering method to explore patterns of land-cover transitions in satellite-derived maps of the Brazilian Amazon
Year2017
MonthFeb.
Access Date2021, Apr. 23
Type of Workjournal article
Number of Files1
Size4642 KiB
Context area
Author1 Muller-Hansen, Finn
2 Cardoso, Manoel Ferreira
3 Dalla Nora, Elói Lennon
4 Donges, Jonathan F.
5 Heitzig, Jobst
6 Kurths, Jürgen
7 Thonicke, Kirsten
Group1
2 COCST-COCST-INPE-MCTIC-GOV-BR
3 COCST-COCST-INPE-MCTIC-GOV-BR
Affiliation1 Potsdam Institute for Climate Impact Research
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Potsdam Institute for Climate Impact Research
5 Potsdam Institute for Climate Impact Research
6 Potsdam Institute for Climate Impact Research
7 Potsdam Institute for Climate Impact Research
Author e-Mail Address1
2 manoel.cardoso@inpe.br
3 eloi.dallanora@inpe.br
JournalNonlinear Processes in Geophysics
Volume24
Number1
Pages113-123
Secondary TypePRE PI
Secondary MarkA2_GEOCIÊNCIAS B1_MATEMÁTICA_/_PROBABILIDADE_E_ESTATÍSTICA B1_INTERDISCIPLINAR B1_ENGENHARIAS_IV B1_BIODIVERSIDADE B2_CIÊNCIAS_BIOLÓGICAS_I B2_BIOTECNOLOGIA B3_ASTRONOMIA_/_FÍSICA C_CIÊNCIAS_AGRÁRIAS_I
History2017-04-17 18:38:12 :: simone -> administrator ::
2017-04-17 18:38:13 :: administrator -> simone :: 2017
2017-04-17 18:38:50 :: simone -> administrator :: 2017
2017-04-20 21:03:50 :: administrator -> simone :: 2017
2017-06-02 14:09:44 :: simone -> administrator :: 2017
2017-06-26 17:28:07 :: administrator -> simone :: 2017
2017-12-15 12:34:45 :: simone -> administrator :: 2017
2018-06-04 02:27:23 :: administrator -> simone :: 2017
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AbstractChanges in land-use systems in tropical regions, including deforestation, are a key challenge for global sustainability because of their huge impacts on green-house gas emissions, local climate and biodiversity. However, the dynamics of land-use and land-cover change in regions of frontier expansion such as the Brazilian Amazon are not yet well understood because of the complex interplay of ecological and socioeconomic drivers. In this paper, we combine Markov chain analysis and complex network methods to identify regimes of land-cover dynamics from land-cover maps (TerraClass) derived from high-resolution (30 m) satellite imagery. We estimate regional transition probabilities between different land-cover types and use clustering analysis and community detection algorithms on similarity networks to explore patterns of dominant land- cover transitions. We find that land- cover transition probabilities in the Brazilian Amazon are heterogeneous in space, and adjacent subregions tend to be assigned to the same clusters. When focusing on transitions from single land- cover types, we uncover patterns that reflect major regional differences in land-cover dynamics. Our method is able to summarize regional patterns and thus complements studies performed at the local scale.
AreaCST
ArrangementBDMCI > Fonds > Produção > COCST > A matrix clustering...
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data URLhttp://urlib.net/rep/8JMKD3MGP3W34P/3NNBMRE
zipped data URLhttp://urlib.net/zip/8JMKD3MGP3W34P/3NNBMRE
Languageen
Target Filemuller_matrix.pdf
User Groupsimone
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Visibilityshown
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Update Permissionnot transferred
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Linking8JMKD3MGP5W34M/3GBUHCP
Mirror Repositorysid.inpe.br/mtc-m21b/2013/09.26.14.25.22
Next Higher Units8JMKD3MGPCW/3F3T29H
DisseminationWEBSCI; PORTALCAPES.
Host Collectionsid.inpe.br/mtc-m21b/2013/09.26.14.25.20
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