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Registro Completo |
Biblioteca(s): |
Embrapa Meio Ambiente. |
Data corrente: |
09/03/2022 |
Data da última atualização: |
09/03/2022 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
MATTOS, S. H. V. L. de; VICENTE, L. E.; KOGA-VICENTE, A.; BIELENKI JUNIOR, C.; PIQUEIRA, J. R. C. |
Afiliação: |
SÉRGIO HENRIQUE VANNUCCHI LEME DE MATTOS, UFSCar; LUIZ EDUARDO VICENTE, CNPMA; ANDREA KOGA-VICENTE; CLÁUDIO BIELENKI JUNIOR, UFSCar; JOSÉ ROBERTO CASTILHO PIQUEIRA, POLI-USP. |
Título: |
Metrics based on information entropy applied to evaluate complexity of landscape patterns. |
Ano de publicação: |
2022 |
Fonte/Imprenta: |
Plos One, v. 17, n.1, e0262680, 2022. |
Páginas: |
23 p. |
ISSN: |
1932-6203 |
DOI: |
https://doi.org/10.1371/journal.pone.0262680 |
Idioma: |
Inglês |
Conteúdo: |
Abstract: Landscape is an ecological category represented by a complex system formed by interactions between society and nature. Spatial patterns of different land uses present in a landscape reveal past and present processes responsible for its dynamics and organisation. Measuring the complexity of these patterns (in the sense of their spatial heterogeneity) allows us to evaluate the integrity and resilience of these complex environmental systems. Here, we show how landscape metrics based on information entropy can be applied to evaluate the complexity (in the sense of spatial heterogeneity) of patches patterns, as well as their transition zones, present in a Cerrado conservation area and its surroundings, located in south-eastern Brazil. The analysis in this study aimed to elucidate how changes in land use and the consequent fragmentation affect the complexity of the landscape. The scripts CompPlex HeROI and CompPlex Janus were created to allow calculation of information entropy (He), variability (He/Hmax), and López-Ruiz, Mancini, and Calbet (LMC) and Shiner, Davison, and Landsberg (SDL) measures. CompPlex HeROI enabled the calculation of these measures for different regions of interest (ROIs) selected in a satellite image of the study area, followed by comparison of the complexity of their patterns, in addition to enabling the generation of complexity signatures for each ROI. CompPlex Janus made it possible to spatialise the results for these four measures in landscape complexity maps. As expected, both for the complexity patterns evaluated by CompPlex HeROI and the complexity maps generated by CompPlex Janus, the areas with vegetation located in a region of intermediate spatial heterogeneity had lower values for the He and He/Hmax measures and higher values for the LMC and SDL measurements. So, these landscape metrics were able to capture the behaviour of the patterns of different types of land use present in the study area, bringing together uses linked to vegetation with increased canopy coverage and differentiating them from urban areas and transition areas that mix different uses. Thus, the algorithms implemented in these scripts were demonstrated to be robust and capable of measuring the variability in information levels from the landscape, not only in terms of spatial datasets but also spectrally. The automation of measurement calculations, owing to informational entropy provided by these scripts, allows a quick assessment of the complexity of patterns present in a landscape, and thus, generates indicators of landscape integrity and resilience. MenosAbstract: Landscape is an ecological category represented by a complex system formed by interactions between society and nature. Spatial patterns of different land uses present in a landscape reveal past and present processes responsible for its dynamics and organisation. Measuring the complexity of these patterns (in the sense of their spatial heterogeneity) allows us to evaluate the integrity and resilience of these complex environmental systems. Here, we show how landscape metrics based on information entropy can be applied to evaluate the complexity (in the sense of spatial heterogeneity) of patches patterns, as well as their transition zones, present in a Cerrado conservation area and its surroundings, located in south-eastern Brazil. The analysis in this study aimed to elucidate how changes in land use and the consequent fragmentation affect the complexity of the landscape. The scripts CompPlex HeROI and CompPlex Janus were created to allow calculation of information entropy (He), variability (He/Hmax), and López-Ruiz, Mancini, and Calbet (LMC) and Shiner, Davison, and Landsberg (SDL) measures. CompPlex HeROI enabled the calculation of these measures for different regions of interest (ROIs) selected in a satellite image of the study area, followed by comparison of the complexity of their patterns, in addition to enabling the generation of complexity signatures for each ROI. CompPlex Janus made it possible to spatialise the results for these four measures in landscape c... Mostrar Tudo |
Thesagro: |
Cerrado; Ecossistema; Floresta; Sensoriamento Remoto; Uso da Terra. |
Thesaurus Nal: |
Entropy; Forests; Remote sensing. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/232278/1/Vicente-Metrics-based-2021.pdf
|
Marc: |
LEADER 03456naa a2200301 a 4500 001 2140699 005 2022-03-09 008 2022 bl uuuu u00u1 u #d 022 $a1932-6203 024 7 $ahttps://doi.org/10.1371/journal.pone.0262680$2DOI 100 1 $aMATTOS, S. H. V. L. de 245 $aMetrics based on information entropy applied to evaluate complexity of landscape patterns.$h[electronic resource] 260 $c2022 300 $a23 p. 520 $aAbstract: Landscape is an ecological category represented by a complex system formed by interactions between society and nature. Spatial patterns of different land uses present in a landscape reveal past and present processes responsible for its dynamics and organisation. Measuring the complexity of these patterns (in the sense of their spatial heterogeneity) allows us to evaluate the integrity and resilience of these complex environmental systems. Here, we show how landscape metrics based on information entropy can be applied to evaluate the complexity (in the sense of spatial heterogeneity) of patches patterns, as well as their transition zones, present in a Cerrado conservation area and its surroundings, located in south-eastern Brazil. The analysis in this study aimed to elucidate how changes in land use and the consequent fragmentation affect the complexity of the landscape. The scripts CompPlex HeROI and CompPlex Janus were created to allow calculation of information entropy (He), variability (He/Hmax), and López-Ruiz, Mancini, and Calbet (LMC) and Shiner, Davison, and Landsberg (SDL) measures. CompPlex HeROI enabled the calculation of these measures for different regions of interest (ROIs) selected in a satellite image of the study area, followed by comparison of the complexity of their patterns, in addition to enabling the generation of complexity signatures for each ROI. CompPlex Janus made it possible to spatialise the results for these four measures in landscape complexity maps. As expected, both for the complexity patterns evaluated by CompPlex HeROI and the complexity maps generated by CompPlex Janus, the areas with vegetation located in a region of intermediate spatial heterogeneity had lower values for the He and He/Hmax measures and higher values for the LMC and SDL measurements. So, these landscape metrics were able to capture the behaviour of the patterns of different types of land use present in the study area, bringing together uses linked to vegetation with increased canopy coverage and differentiating them from urban areas and transition areas that mix different uses. Thus, the algorithms implemented in these scripts were demonstrated to be robust and capable of measuring the variability in information levels from the landscape, not only in terms of spatial datasets but also spectrally. The automation of measurement calculations, owing to informational entropy provided by these scripts, allows a quick assessment of the complexity of patterns present in a landscape, and thus, generates indicators of landscape integrity and resilience. 650 $aEntropy 650 $aForests 650 $aRemote sensing 650 $aCerrado 650 $aEcossistema 650 $aFloresta 650 $aSensoriamento Remoto 650 $aUso da Terra 700 1 $aVICENTE, L. E. 700 1 $aKOGA-VICENTE, A. 700 1 $aBIELENKI JUNIOR, C. 700 1 $aPIQUEIRA, J. R. C. 773 $tPlos One$gv. 17, n.1, e0262680, 2022.
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Embrapa Meio Ambiente (CNPMA) |
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Biblioteca(s): |
Embrapa Amazônia Oriental. |
Data corrente: |
14/05/1998 |
Data da última atualização: |
12/08/2022 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
Autoria: |
METZGER, J. P.; DENICH, M.; VIELHAUER, K.; KANASHIRO, M. |
Afiliação: |
USP; INSTITUTE OF AGRICULTURE IN THE TROPICS; INSTITUTE OF AGRICULTURE IN THE TROPICS; MILTON KANASHIRO, CPATU. |
Título: |
Fallow periods and landscape structure in areas of slash and burn agriculture (NE Brazilian Amazon). |
Ano de publicação: |
1998 |
Fonte/Imprenta: |
In: SHIFT-WORKSHOP, 3., 1998, Manaus. Program, abstracts of presentation and posters. [S.l.]: SHIFT, 1998. |
Páginas: |
A20. |
Idioma: |
Inglês |
Palavras-Chave: |
Agricultura migratória; Brasil; Pará; Periodo de pousio; Região bragantina; Terra de pousio. |
Thesagro: |
Floresta Secundaria; Uso da Terra. |
Thesaurus NAL: |
Amazonia; fallow; land use; secondary forests; shifting cultivation. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/100063/1/A20.pdf
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Marc: |
LEADER 00895nam a2200301 a 4500 001 1394559 005 2022-08-12 008 1998 bl uuuu u00u1 u #d 100 1 $aMETZGER, J. P. 245 $aFallow periods and landscape structure in areas of slash and burn agriculture (NE Brazilian Amazon). 260 $aIn: SHIFT-WORKSHOP, 3., 1998, Manaus. Program, abstracts of presentation and posters. [S.l.]: SHIFT$c1998 300 $aA20. 650 $aAmazonia 650 $afallow 650 $aland use 650 $asecondary forests 650 $ashifting cultivation 650 $aFloresta Secundaria 650 $aUso da Terra 653 $aAgricultura migratória 653 $aBrasil 653 $aPará 653 $aPeriodo de pousio 653 $aRegião bragantina 653 $aTerra de pousio 700 1 $aDENICH, M. 700 1 $aVIELHAUER, K. 700 1 $aKANASHIRO, M.
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Embrapa Amazônia Oriental (CPATU) |
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