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A expressão de busca foi <related:sid.inpe.br/mtc-m21b/2015/03.04.19.42.23-0:en:title:2:using data secondary site:following site specific secondary succession amazon using landsat cdr product field inventory data:>.
5 referências similares encontradas (inclusive a original) buscando em 22 dentre 22 Arquivos.
Data e hora local de busca: 16/05/2024 12:25.
1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21b.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34P/3J4C29L
Repositóriosid.inpe.br/mtc-m21b/2015/03.04.19.42   (acesso restrito)
Última Atualização2015:04.06.18.33.24 (UTC) administrator
Repositório de Metadadossid.inpe.br/mtc-m21b/2015/03.04.19.42.23
Última Atualização dos Metadados2018:06.04.02.55.17 (UTC) administrator
DOI10.1080/01431161.2014.999879
ISSN0143-1161
Chave de CitaçãoGalvãoSaSiSiMoBr:2015:FoSiSe
TítuloFollowing a site-specific secondary succession in the Amazon using the Landsat CDR product and field inventory data
Ano2015
Data de Acesso16 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho105 KiB
2. Contextualização
Autor1 Galvão, Lênio Soares
2 Santos, João Roberto dos
3 Silva, Ricardo Dal'Agnol
4 Silva, Camila Valéria
5 Moura, Yhasmin Mendes de
6 Breunig, Fabio Marcelo
Identificador de Curriculo1 8JMKD3MGP5W/3C9JHLF
2 8JMKD3MGP5W/3C9JHF4
Grupo1 DSR-OBT-INPE-MCTI-GOV-BR
2 DSR-OBT-INPE-MCTI-GOV-BR
3 DSR-OBT-INPE-MCTI-GOV-BR
4 DSR-OBT-INPE-MCTI-GOV-BR
5 SER-SRE-SPG-INPE-MCTI-GOV-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 Instituto Nacional de Pesquisas Espaciais (INPE)
6 Universidade Federal de Santa Maria (UFSM)
Endereço de e-Mail do Autor1 lenio@dsr.inpe.br
2 jroberto@litd.inpe.br
3 silvard@dsr.inpe.br
4 camilas@dsr.inpe.br
5 yhasmin@dsr.inpe.br
RevistaInternational Journal of Remote Sensing
Volume36
Número2
Páginas574-596
Nota SecundáriaA1_ENGENHARIAS_III A2_CIÊNCIA_DA_COMPUTAÇÃO A2_ENGENHARIAS_I A2_GEOGRAFIA A2_INTERDISCIPLINAR A2_CIÊNCIAS_AMBIENTAIS A2_ENGENHARIAS_III A2_ENGENHARIAS_IV B1_MATEMÁTICA_/_PROBABILIDADE_E B1_CIÊNCIAS_AGRÁRIAS_I B1_BIODIVERSIDADE B1_GEOCIÊNCIAS B1_ENGENHARIAS_II B2_ODONTOLOGIA B2_SAÚDE_COLETIVA B3_CIÊNCIAS_BIOLÓGICAS_I B3_BIOTECNOLOGIA B5_ASTRONOMIA_/_FÍSICA
Histórico (UTC)2015-03-04 19:42:23 :: simone -> administrator ::
2018-06-04 02:55:17 :: administrator -> simone :: 2015
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
ResumoSecondary forests cover large areas and are strong carbon sinks in tropical regions. They are important for ecosystem functioning, biodiversity conservation, watershed protection, and recovery of soil fertility. In this study, we used the Surface Reflectance Climate Data Record (CDR) product from 16 Thematic Mapper (TM)/Landsat-5 images (1984-2010) to continuously track the secondary succession (SS) of a forest following land abandonment in 1980. Changes in canopy structure and floristic composition were analysed using data from four field inventories (1995, 2002, 2007, and 2012). To characterize variations in brightness, greenness, spectral reflectance, and shadows with the natural regeneration of vegetation, we applied tasselled cap transformations, principal component analysis (PCA), and linear spectral mixture models to the TM datasets. Shade fractions were plotted over time and correlated with the enhanced vegetation index (EVI) and the normalized difference vegetation index (NDVI). Because image texture may reflect the variability of the successional process, eight co-occurrence-based filter metrics were calculated for selected TM bands and plotted as a function of time since abandonment. The successional forest was compared to a nearby primary reference forest (PF) and had differences in the spectral and textural means evaluated using analysis of variance (ANOVA). The results showed increases of 35% and 10.4% over time in basal area and tree height, respectively. Species richness within the assemblage of sampling units increased from 14 to 71 between 1995 and 2012, and this trend was also confirmed using an individual-based rarefaction analysis. Species richness in 2012 was still lower than that observed in the PF site, which presented greater amounts of aboveground biomass (336.4 + 17.0 ton ha(-1) for PF versus 98.5 + 21.4 ton ha(-1) for SS in 2012). Brightness and greenness tasselled cap differences between the SS and PF rapidly decreased from 1984 (SS at the age of 4 years) to 1991 (age of 11 years). Brightness also decreased from 1997 to 2003, as indicated by PC1 scores and surface reflectance of the TM bands 4 (near infrared) and 5 (shortwave infrared). Spectral mixture shade fraction increased from young to old successional stages with strata composition and canopy structure development, whereas NDVI and EVI decreased over time. Because EVI was strongly dependent on near infrared reflectance (r = + 0.96), it was also much more strongly correlated with the shade fraction (r = -0.93) than NDVI. Except for the image texture mean that decreased from young to old successional stages in TM bands 4 and 5, no clear trend was observed in the remaining texturemetrics over the time period of vegetation regeneration. Overall, due to structural-floristic and spectral/textural differences with the PF, the SS site was still distinguishable using Landsat data 30 years after land abandonment. Most of the spectral metric means between PF and SS were significantly different over time at 0.01 significance level, as indicated by ANOVA.
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4. Condições de acesso e uso
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5. Fontes relacionadas
Repositório Espelhourlib.net/www/2011/03.29.20.55
Unidades Imediatamente Superiores8JMKD3MGPCW/3ER446E
8JMKD3MGPCW/3F3NU5S
Lista de Itens Citandosid.inpe.br/mtc-m21/2012/07.13.14.51.02 6
sid.inpe.br/bibdigital/2013/10.18.22.34 2
sid.inpe.br/mtc-m21/2012/07.13.14.53.28 1
DivulgaçãoWEBSCI; PORTALCAPES; COMPENDEX; SCOPUS.
Acervo Hospedeirosid.inpe.br/mtc-m21b/2013/09.26.14.25.20
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn keywords label lineage mark month nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject targetfile tertiarymark tertiarytype url
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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m16b.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador6qtX3pFwXQZGivnK2Y/Nvo7q
Repositóriosid.inpe.br/mtc-m17@80/2006/12.19.13.24.38   (acesso restrito)
Última Atualização2006:12.19.13.24.37 (UTC) marciana
Repositório de Metadadossid.inpe.br/mtc-m17@80/2006/12.19.13.24.39
Última Atualização dos Metadados2018:06.05.03.44.43 (UTC) administrator
Chave SecundáriaINPE-14454-PRE/9524
DOI10.1016/j.rse.2005.12.017
ISSN0034-4257
Chave de CitaçãoCarreirasPereCampShim:2006:AsExAg
TítuloAssessing the extent of agriculture/pasture and secondary succession forest in the Brazilian Legal Amazon using SPOT VEGETATION data
ProjetoCaracterização Espectral da Vegetação
Ano2006
MêsApr.
Data de Acesso16 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho608 KiB
2. Contextualização
Autor1 Carreiras, João M. B.
2 Pereira, José M. C.
3 Campagnolo, Manuel L.
4 Shimabukuro, Yosio Edemir
Identificador de Curriculo1
2
3
4 8JMKD3MGP5W/3C9JJCQ
Grupo1
2
3
4 DSR-INPE-MCT-BR
Afiliação1 Department of Forestry, Instituto Superior de Agronomia, Tapada da Ajuda, 1349-017 Lisboa, Portugal
2 Department of Forestry, Instituto Superior de Agronomia, Tapada da Ajuda, 1349-017 Lisboa, Portugal
3 Department of Mathematics, Instituto Superior de Agronomia, Tapada da Ajuda, 1349-017 Lisboa, Portugal
4 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1
2
3
4 yosio@ltid.inpe.br
RevistaRemote Sensing of Environment
Volume101
Número3
Páginas283-298
Histórico (UTC)2007-03-22 14:35:39 :: vinicius -> administrator ::
2008-06-29 02:30:09 :: administrator -> vinicius ::
2011-10-31 11:19:01 :: vinicius -> administrator :: 2006
2012-10-22 21:05:16 :: administrator -> vinicius :: 2006
2013-02-20 16:29:37 :: vinicius -> administrator :: 2006
2016-06-04 21:39:19 :: administrator -> marciana :: 2006
2016-08-17 17:03:33 :: marciana -> administrator :: 2006
2018-06-05 03:44:43 :: administrator -> marciana :: 2006
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-ChaveVEGETAÇÃO
Brazilian Legal Amazon (BLA)
agriculture
pasture
secondary succession forest
SPOT-4
vegetation
supervised classification land-cover change
biosphere-atmosphere experiment
NOAA AVHRR data
tropical forest
accuracy assessment
eastern amazonia
satellite data
prior probabilities
abandoned pastures
ResumoThere has been growing concern about land use/land cover change in tropical regions, as there is evidence of its influence on the observed increase in atmospheric carbon dioxide concentration and consequent climatic changes. Mapping of deforestation by the Brazil's National Space Research Institute (INPE) in areas of primary tropical forest using satellite data indicates a value of 587,727 km(2) up to the year 2000. Although most of the efforts have been concentrated in mapping primary tropical forest deforestation, there is also evidence of large-scale deforestation in the cerrado savanna, the second most important biome in the region. The main purpose of this work was to assess the extent of agriculture/pasture and secondary succession forest in the Brazilian Legal Amazon (BLA) in 2000, using a set of multitemporal images from the 1-km SPOT-4 VEGETATION (VGT) sensor. Additionally, we discriminated primary tropical forest, cerrado savanna, and natural/artificial waterbodies. Four classification algorithms were tested: quadratic discriminant analysis (QDA), simple classification trees (SCT), probability-bagging classification trees (PBCT), and k-nearest neighbors (K-NN). The agriculture/ pasture class is a surrogate for those areas cleared of its original vegetation cover in the past, acting as a source of carbon. On the contrary, the secondary succession forest class behaves as a sink of carbon. We used a time series of 12 monthly composite images of the year 2000, derived from the SPOT-4 VGT sensor. A set of 19 Landsat scenes was used to select training and testing data. A 10-fold cross validation procedure rated PBCT as the best classification algorithm, with an overall sample accuracy of 0.92. High omission and commission errors occurred in the secondary succession forest class, due to confusion with agriculture/pasture and primary tropical forest classes. However, the PBCT algorithm generated the lower misclassification error in this class. Besides, this algorithm yields information about class membership probability, with similar to 80% of the pixels with class membership probability greater or equal than 0.8. The estimated total area of agriculture/pasture and secondary succession forest in 2000 in the BLA was 966 x 103 and 140 x 103 king, respectively. Comparison with an existing land cover map indicates that agriculture/pasture occurred primarily in areas previously occupied by primary tropical forest (46%) and cerrado savanna (33%), and also in transition forest (19%), and other vegetation types (2%). This further confines the existing evidence of extensive cerrado savanna conversion. This study also concludes that SPOT-4 VGT data are adequate for discriminating several major land cover types in tropical regions. Agriculture/pasture was mapped with errors of about 5%. Very high classification errors were associated with secondary succession forest, suggesting that a different methodology/sensor has to be used to address this difficult land cover class (namely with the inclusion of ancillary data). For the other classes, we consider that accurate maps can be derived from SPOT-4 VGT data with errors lower than 20% for the cerrado savanna, and errors lower than 10% for the other land cover classes. These estimates may be useful to evaluate impacts of land use/land cover change on the carbon and water cycles, biotic diversity, and soil degradation. (c) 2006 Elsevier Inc. All rights reserved.
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4. Condições de acesso e uso
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Arquivo Alvocarreiras - assessing.pdf
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5. Fontes relacionadas
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Acervo Hospedeirolcp.inpe.br/ignes/2004/02.12.18.39
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6. Notas
Campos Vaziosalternatejournal archivist callnumber copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress rightsholder schedulinginformation secondarydate secondarymark session shorttitle sponsor subject tertiarymark tertiarytype url
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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m16c.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP8W/35N86GL
Repositóriosid.inpe.br/mtc-m18@80/2009/07.24.16.24   (acesso restrito)
Última Atualização2010:09.16.12.16.53 (UTC) administrator
Repositório de Metadadossid.inpe.br/mtc-m18@80/2009/07.24.16.24.39
Última Atualização dos Metadados2020:04.28.17.48.53 (UTC) administrator
Chave SecundáriaINPE--PRE/
DOI10.1016/j.jag.2008.04.001
ISSN0303-2434
Chave de CitaçãoGalvãoPonzLiesSant:2009:PoDiTr
TítuloPossibilities of discriminating tropical secondary succession in Amazônia using hyperspectral and multiangular CHRIS/PROBA data
Ano2009
Data de Acesso16 maio 2024
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho1156 KiB
2. Contextualização
Autor1 Galvão, Lênio Soares
2 Ponzoni, Flávio Jorge
3 Liesenberg, Veraldo
4 Santos, João Roberto dos
Grupo1 DSR-OBT-INPE-MCT-BR
2 DSR-OBT-INPE-MCT-BR
3 DSR-OBT-INPE-MCT-BR
4 DSR-OBT-INPE-MCT-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
RevistaInternational Journal of Applied Earth Observation and Geoinformation
Volume11
Número1
Páginas8-14
Nota SecundáriaB1_GEOCIÊNCIAS
Histórico (UTC)2009-07-24 16:25:30 :: marciana -> administrator ::
2010-05-11 01:09:42 :: administrator -> marciana ::
2010-09-16 12:16:53 :: marciana -> administrator :: 2009
2020-04-28 17:48:53 :: administrator -> simone :: 2009
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Palavras-ChaveAmazônia
CHRIS/PROBA
Hyperspectral
Multiangular
Secondary succession
ResumoCHRIS/PROBA data collected in the Brazilian Amazônia in 4 view angles (-36°, nadir, +36°, +55°) and 62 bands (410-1000 nm range) were evaluated for the discrimination between primary forest and 3 stages of secondary succession after deforestation: initial (SS1; <5 years), intermediate (SS2; 5-15 years) and advanced (SS3; >15 years). Single view angle and multiangular approaches (nadir plus anisotropic information derived from reflectance ratios between view angles) were tested for discrimination. Both approaches used principal components analysis (PCA) applied to pixel spectra representative of each class in order to reduce data dimensionality at each dataset, to enhance separability between the classes, and to provide input variables for multiple discriminant analysis (MDA). The results showed that the off-nadir viewing improved discrimination between the successional stages. Discrimination between SS2 and SS3 was enhanced with PCA at +36° view angle. Primary forest and SS3 presented a more anisotropic behavior than SS2 and SS1, especially in the backward scattering direction (positive view angles) in which great amounts of sunlit canopy components were viewed by the sensor. MDA classification results showed that the multiangular approach produced an overall improvement in the discrimination. From the single (nadir) to the multiangular approach, classification accuracy using a separate set of pixels increased from 83.3% to 98.3% for SS1, 53.3% to 70.0% for SS2, and 58.3% to 76.7% for SS3. The nadir and multiangular classifications were statistically different at a 0.05% level of significance. Kappa statistics increased from 0.63 to 0.82. The results showed that multiangular data can improve the differentiation between primary forest and old stages of natural vegetation regrowth, which have been reported in the literature as the most difficult classes to be mapped in the Amazonian environment.
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4. Condições de acesso e uso
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Arquivo Alvolenio1.pdf
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5. Fontes relacionadas
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DivulgaçãoWEBSCI; PORTALCAPES; MGA.
Acervo Hospedeirosid.inpe.br/mtc-m18@80/2008/03.17.15.17
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel documentstage e-mailaddress electronicmailaddress format isbn label lineage mark month nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup resumeid rightsholder schedulinginformation secondarydate session shorttitle sponsor subject tertiarymark tertiarytype typeofwork url versiontype
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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Siteplutao.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
IdentificadorJ8LNKAN8RW/34BF2AH
Repositóriodpi.inpe.br/plutao@80/2008/12.04.13.09.42   (acesso restrito)
Última Atualização2013:08.22.12.22.29 (UTC) administrator
Repositório de Metadadosdpi.inpe.br/plutao@80/2008/12.04.13.09.43
Última Atualização dos Metadados2018:06.05.00.12.36 (UTC) administrator
Chave SecundáriaINPE--PRE/
DOI10.1016/j.jag.2008.04.001
ISSN0303-2434
Rótulolattes: 1646956319628219 4 GalvaoPonzLiesSant:2008:PoDiTr
Chave de CitaçãoGalvãoPonzLiesSant:2009:PoDiTr
TítuloPossibilities of discriminating tropical secondary succession in Amazônia using hyperspectral and multiangular CHRIS/PROBA data
Ano2009
MêsFeb.
Data de Acesso16 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho1133 KiB
2. Contextualização
Autor1 Galvão, Lênio Soares
2 Ponzoni, Flávio Jorge
3 Liesenberg, Veraldo
4 Santos, Joao Roberto dos
Grupo1 DSR-OBT-INPE-MCT-BR
2 DSR-OBT-INPE-MCT-BR
3 DSR-OBT-INPE-MCT-BR
4 DSR-OBT-INPE-MCT-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1 lenio@dsr.inpe.br
2 flavio@ltid.inpe.br
3 vlberg@ltid.inpe.br
4 jroberto@ltid.inpe.br
Endereço de e-Mailjroberto@ltid.inpe.br
RevistaInternational Journal of Applied Earth Observation and Geoinformation
Volume11
Número1
Páginas8-14
Nota SecundáriaB1_GEOCIÊNCIAS
Histórico (UTC)2008-12-04 16:12:43 :: lattes -> simone ::
2008-12-05 15:19:07 :: simone -> marcia ::
2008-12-15 13:37:51 :: marcia -> administrator ::
2008-12-17 15:51:48 :: administrator -> marciana ::
2008-12-18 11:41:57 :: marciana -> administrator ::
2018-06-05 00:12:36 :: administrator -> marciana :: 2009
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-Chavesecondary succession
Amazônia
hyperspectral
CHRIS/PROBA
multiangular
ResumoCHRIS/PROBA data collected in the Brazilian Amazônia in 4 view angles (−36°, nadir, +36°, +55°) and 62 bands (4101000 nm range) were evaluated for the discrimination between primary forest and 3 stages of secondary succession after deforestation: initial (SS1; <5 years), intermediate (SS2; 515 years) and advanced (SS3; >15 years). Single view angle and multiangular approaches (nadir plus anisotropic information derived from reflectance ratios between view angles) were tested for discrimination. Both approaches used principal components analysis (PCA) applied to pixel spectra representative of each class in order to reduce data dimensionality at each dataset, to enhance separability between the classes, and to provide input variables for multiple discriminant analysis (MDA). The results showed that the off-nadir viewing improved discrimination between the successional stages. Discrimination between SS2 and SS3 was enhanced with PCA at +36° view angle. Primary forest and SS3 presented a more anisotropic behavior than SS2 and SS1, especially in the backward scattering direction (positive view angles) in which great amounts of sunlit canopy components were viewed by the sensor. MDA classification results showed that the multiangular approach produced an overall improvement in the discrimination. From the single (nadir) to the multiangular approach, classification accuracy using a separate set of pixels increased from 83.3% to 98.3% for SS1, 53.3% to 70.0% for SS2, and 58.3% to 76.7% for SS3. The nadir and multiangular classifications were statistically different at a 0.05% level of significance. Kappa statistics increased from 0.63 to 0.82. The results showed that multiangular data can improve the differentiation between primary forest and old stages of natural vegetation regrowth, which have been reported in the literature as the most difficult classes to be mapped in the Amazonian environment.
ÁreaSRE
Arranjourlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Possibilities of discriminating...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreementnão têm arquivos
4. Condições de acesso e uso
Idiomaen
Arquivo Alvo1-s2.0-S0303243408000408-main.pdf
Grupo de Usuáriosadministrator
lattes
marciana
Grupo de Leitoresadministrator
marciana
Visibilidadeshown
Política de Arquivamentodenypublisher denyfinaldraft24
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3ER446E
Lista de Itens Citandosid.inpe.br/bibdigital/2013/09.13.21.11 1
URL (dados não confiáveis)http://dx.doi.org/10.1016/j.jag.2008.04.001
DivulgaçãoWEBSCI
Acervo Hospedeirodpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notas
NotasSetores de Atividade: Agricultura, Pecuária, Silvicultura e Exploração Florestal.
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel format isbn lineage mark mirrorrepository nextedition orcid parameterlist parentrepositories previousedition previouslowerunit progress project resumeid rightsholder schedulinginformation secondarydate session shorttitle sponsor subject tertiarymark tertiarytype
7. Controle da descrição
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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21d.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
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Repositóriourlib.net/www/2022/01.24.14.00   (acesso restrito)
Última Atualização2022:01.24.14.00.55 (UTC) simone
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DOI10.1016/j.rsase.2021.100633
ISSN2352-9385
Chave de CitaçãoSimionatoBertOsak:2021:IdArMi
TítuloIdentification of artisanal mining sites in the Amazon Rainforest using Geographic Object-Based Image Analysis (GEOBIA) and Data Mining techniques
Ano2021
MêsNov.
Data de Acesso16 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho15797 KiB
2. Contextualização
Autor1 Simionato, Jackson
2 Bertani, Gabriel
3 Osako, Liliana Sayuri
Grupo1
2 SER-SRE-DIPGR-INPE-MCTI-GOV-BR
Afiliação1 Universidade Federal de Santa Catarina (UFSC)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Universidade Federal de Santa Catarina (UFSC)
Endereço de e-Mail do Autor1 simionato.jackson@gmail.com
RevistaRemote Sensing Applications: Society and Environment
Volume24
Páginase100633
Histórico (UTC)2022-01-24 14:01:31 :: simone -> administrator :: 2021
2022-04-03 22:27:54 :: administrator -> simone :: 2021
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-ChaveAmazon Rainforest
Artisanal mining
Data mining
Decision tree
Geographic object-based image analysis (GEOBIA)
Sentinel-2
ResumoPará is a Brazilian state leader in deforestation and deserves special attention due to the intense artisanal mining activity that has caused severe environmental damage to the Amazon Rainforest. Remote sensing is an important tool for identifying areas degraded by mining activities. However, the large territorial extension of the Amazon Rainforest and the equally large corresponding database make the mapping by photointerpretation a costly and slow process. This study attempts to overcome this obstacle by employing the Geographic Object-Based Image Analysis (GEOBIA) approach together with Data Mining techniques in the automatic identification of areas degraded by artisanal mining in the Crepori National Forest (CNF). A NDVI image and a multiband image derived from Sentinel-2 data were segmented and the former proved to be more appropriate to the development of this research. The use of the Correlation-based Feature Selection (CFS) algorithm in attribute selection led to a 55% database dimensionality reduction. Additionally, the results obtained in the decision tree construction by the J48 algorithm showed that the spectral attributes were the most relevant in the classification of artisanal mining areas, especially the attributes related to the near infrared (NIR) band. The attributes of textural and spatial origin also contributed to the model, whereas the contextual attribute was not relevant to our classification problem. The results from classification demonstrated that the Vegetation class is the largest in the Crepori National Forest, representing 99.50% of the total area, followed by Areas Degraded by Artisanal Mining and Other Anthropized Areas, representing 0.17% of the total area, and, lastly, the Hydrography class totaling 0.16%. Total anthropization in the CNF decreased between 2014 and 2017, from 2,955 ha to 2,506 ha. It is worth noting that, when compared with the Brazilian Forest Service's (Serviço Florestal Brasileiro) data, our results reveal that more than 50% (679.46 ha) of artisanal mining areas mapped in 2017 were installed after 2014, majorly in the CNF southern region. The performance of our classification model is good, reaching a global accuracy of 88.18% and a Kappa coefficient of 0.84. In class-by-class indexes, the method presented a minimum precision of 0.79 and a minimum recall of 0.75, both referring to the Other Anthropized Areas class.
ÁreaSRE
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4. Condições de acesso e uso
Idiomaen
Arquivo Alvosimionato_2021.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
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Visibilidadeshown
Permissão de Leituradeny from all and allow from 150.163
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5. Fontes relacionadas
Repositório Espelhourlib.net/www/2021/06.04.03.40.25
Unidades Imediatamente Superiores8JMKD3MGPCW/3F3NU5S
8JMKD3MGPCW/46KUATE
Lista de Itens Citandosid.inpe.br/bibdigital/2013/10.18.22.34 1
DivulgaçãoPORTALCAPES; SCOPUS.
Acervo Hospedeirourlib.net/www/2021/06.04.03.40
6. Notas
Campos Vaziosalternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
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