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Registro Completo |
Biblioteca(s): |
Embrapa Cerrados. |
Data corrente: |
12/02/2015 |
Data da última atualização: |
12/02/2015 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
CARVALHO JÚNIOR, O. A. de; GUIMARÃES, R. F.; MONTGOMERY, D. R.; GILLESPIE, A. R.; GOMES, R. A. T.; MARTINS, E. de S.; SILVA, N. C. |
Afiliação: |
OSMAR ABÍLIO DE CARVALHO JÚNIOR; RENATO FONTES GUIMARÃES; DAVID R. MONTGOMERY; ALAN R. GILLESPIE; ROBERTO ARNALDO TRANCOSO GOMES; EDER DE SOUZA MARTINS, CPAC; NILTON CORREIA SILVA. |
Título: |
Karst depression detection using ASTER, ALOS/PRISM and SRTM-Derived digital elevation models in the Bambuí Group, Brazil. |
Ano de publicação: |
2014 |
Fonte/Imprenta: |
Remote sensing, v. 6, p. 330-351, 2014. |
DOI: |
10.3390/rs6010330 |
Idioma: |
Inglês |
Conteúdo: |
Abstract: Remote sensing has been used in karst studies to identify limestone terrain, describe exokarst features, analyze karst depressions, and detect geological structures important to karst development. The aim of this work is to investigate the use of ASTER-, SRTM- and ALOS/PRISM-derived digital elevation models (DEMs) to detect and quantify natural karst depressions along the São Francisco River near Barreiras city, northeast Brazil. The study area is a karst landscape characterized by karst depressions (dolines), closed depressions in limestone, many of which contain standing water connected with the ground-water table. The base of dolines is typically sealed with an impermeable clay layer covered by standing water or herbaceous vegetation. We identify dolines by combining the extraction of sink depth from DEMs, morphometric analysis using GIS, and visual interpretation. Our methodology is a semi-automatic approach involving several steps: (a) DEM acquisition; (b) sink-depth calculation using the difference between the raw DEM and the corresponding DEM with sinks filled; and (c) elimination of falsely identified karst depressions using morphometric attributes. The advantages and limitations of the applied methodology using different DEMs are examined by comparison with a sinkhole map generated from traditional geomorphological investigations based on visual interpretation of the high-resolution remote sensing images and field surveys. The threshold values of the depth, area size and circularity index appropriate for distinguishing dolines were identified from the maximum overall accuracy obtained by comparison with a true doline map. Our results indicate that the best performance of the proposed methodology for meso-scale karst feature detection was using ALOS/PRISM data with a threshold depth > 2 m; areas > 13,125 m2 and circularity indexes > 0.3 (overall accuracy of 0.53). The overall correct identification of around half of the true dolines suggests the potential to substantially improve doline identification using higher-resolution LiDAR-generated DEMs. MenosAbstract: Remote sensing has been used in karst studies to identify limestone terrain, describe exokarst features, analyze karst depressions, and detect geological structures important to karst development. The aim of this work is to investigate the use of ASTER-, SRTM- and ALOS/PRISM-derived digital elevation models (DEMs) to detect and quantify natural karst depressions along the São Francisco River near Barreiras city, northeast Brazil. The study area is a karst landscape characterized by karst depressions (dolines), closed depressions in limestone, many of which contain standing water connected with the ground-water table. The base of dolines is typically sealed with an impermeable clay layer covered by standing water or herbaceous vegetation. We identify dolines by combining the extraction of sink depth from DEMs, morphometric analysis using GIS, and visual interpretation. Our methodology is a semi-automatic approach involving several steps: (a) DEM acquisition; (b) sink-depth calculation using the difference between the raw DEM and the corresponding DEM with sinks filled; and (c) elimination of falsely identified karst depressions using morphometric attributes. The advantages and limitations of the applied methodology using different DEMs are examined by comparison with a sinkhole map generated from traditional geomorphological investigations based on visual interpretation of the high-resolution remote sensing images and field surveys. The threshold values of the depth... Mostrar Tudo |
Palavras-Chave: |
Análise DEM; Brasil. |
Thesagro: |
Calcário; Sensoriamento remoto; Sistema de Informação Geográfica. |
Thesaurus Nal: |
Brazil; Geographic information systems; Karsts; Limestone; Remote sensing. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/117884/1/Karst-depression-Eder.pdf
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Marc: |
LEADER 03057naa a2200325 a 4500 001 2008550 005 2015-02-12 008 2014 bl uuuu u00u1 u #d 024 7 $a10.3390/rs6010330$2DOI 100 1 $aCARVALHO JÚNIOR, O. A. de 245 $aKarst depression detection using ASTER, ALOS/PRISM and SRTM-Derived digital elevation models in the Bambuí Group, Brazil. 260 $c2014 520 $aAbstract: Remote sensing has been used in karst studies to identify limestone terrain, describe exokarst features, analyze karst depressions, and detect geological structures important to karst development. The aim of this work is to investigate the use of ASTER-, SRTM- and ALOS/PRISM-derived digital elevation models (DEMs) to detect and quantify natural karst depressions along the São Francisco River near Barreiras city, northeast Brazil. The study area is a karst landscape characterized by karst depressions (dolines), closed depressions in limestone, many of which contain standing water connected with the ground-water table. The base of dolines is typically sealed with an impermeable clay layer covered by standing water or herbaceous vegetation. We identify dolines by combining the extraction of sink depth from DEMs, morphometric analysis using GIS, and visual interpretation. Our methodology is a semi-automatic approach involving several steps: (a) DEM acquisition; (b) sink-depth calculation using the difference between the raw DEM and the corresponding DEM with sinks filled; and (c) elimination of falsely identified karst depressions using morphometric attributes. The advantages and limitations of the applied methodology using different DEMs are examined by comparison with a sinkhole map generated from traditional geomorphological investigations based on visual interpretation of the high-resolution remote sensing images and field surveys. The threshold values of the depth, area size and circularity index appropriate for distinguishing dolines were identified from the maximum overall accuracy obtained by comparison with a true doline map. Our results indicate that the best performance of the proposed methodology for meso-scale karst feature detection was using ALOS/PRISM data with a threshold depth > 2 m; areas > 13,125 m2 and circularity indexes > 0.3 (overall accuracy of 0.53). The overall correct identification of around half of the true dolines suggests the potential to substantially improve doline identification using higher-resolution LiDAR-generated DEMs. 650 $aBrazil 650 $aGeographic information systems 650 $aKarsts 650 $aLimestone 650 $aRemote sensing 650 $aCalcário 650 $aSensoriamento remoto 650 $aSistema de Informação Geográfica 653 $aAnálise DEM 653 $aBrasil 700 1 $aGUIMARÃES, R. F. 700 1 $aMONTGOMERY, D. R. 700 1 $aGILLESPIE, A. R. 700 1 $aGOMES, R. A. T. 700 1 $aMARTINS, E. de S. 700 1 $aSILVA, N. C. 773 $tRemote sensing$gv. 6, p. 330-351, 2014.
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Embrapa Cerrados (CPAC) |
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Biblioteca(s): |
Embrapa Amazônia Oriental. |
Data corrente: |
05/05/2000 |
Data da última atualização: |
27/05/2022 |
Tipo da produção científica: |
Comunicado Técnico/Recomendações Técnicas |
Autoria: |
POLTRONIERI, L. S.; ALBUQUERQUE, F. C. de; TRINDADE, D. R.; DUARTE, M. de L. R.; ROCHA NETO, O. G. da. |
Afiliação: |
LUIZ SEBASTIAO POLTRONIERI, CPATU; FERNANDO CARNEIRO DE ALBUQUERQUE, CPATU; DINALDO RODRIGUES TRINDADE, CPATU; MARIA DE LOURDES REIS DUARTE, CPATU; OLINTO GOMES DA ROCHA NETO, CPATU. |
Título: |
Ocorrência de Cylindrocladium parasiticum em mogno africano (Khaya ivorensis). |
Ano de publicação: |
1999 |
Fonte/Imprenta: |
Belém, PA: Embrapa Amazônia Oriental, 1999. |
Páginas: |
2 p. |
Série: |
(Embrapa Amazônia Oriental. Comunicado técnico, 10). |
Idioma: |
Português |
Conteúdo: |
A metodologia utilizada para as plantas testemunha foi a mesma, mas colocando-se sobre as folhas, discos de meio de cultura BDA, sem conter estruturas do fungo. A seguir, as folhas foram colocadas em câmara úmida por 72 horas. Cinco dias após a inoculação apareceram nas folhas inoculadas pelo fungo, sintomas semelhantes aos observados no campo, confirmando-se assim a patogenicidade do fungo. |
Palavras-Chave: |
African mahogany; Brasil; Broca da ponteira; Cilindrocladium parasiticum; Cylindrocladium parasiticum; Diseases; Feed legumes; Igarape-Acu; Mogno africano; Ocorrencia; Pará; Plant diseases; Swietenis macrophyla. |
Thesagro: |
Árvore; Doença; Doença de Planta; Fungo; Leguminosa Forrageira; Mogno; Patógeno; Planta Produtora de Madeira. |
Thesaurus NAL: |
Amazonia; fungi; Khaya ivorensis; pathogens. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/39507/1/Com-Tec-10-Am-Oriental.pdf
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Marc: |
LEADER 01712nam a2200481 a 4500 001 1375356 005 2022-05-27 008 1999 bl uuuu u0uu1 u #d 100 1 $aPOLTRONIERI, L. S. 245 $aOcorrência de Cylindrocladium parasiticum em mogno africano (Khaya ivorensis). 260 $aBelém, PA: Embrapa Amazônia Oriental$c1999 300 $a2 p. 490 $a(Embrapa Amazônia Oriental. Comunicado técnico, 10). 520 $aA metodologia utilizada para as plantas testemunha foi a mesma, mas colocando-se sobre as folhas, discos de meio de cultura BDA, sem conter estruturas do fungo. A seguir, as folhas foram colocadas em câmara úmida por 72 horas. Cinco dias após a inoculação apareceram nas folhas inoculadas pelo fungo, sintomas semelhantes aos observados no campo, confirmando-se assim a patogenicidade do fungo. 650 $aAmazonia 650 $afungi 650 $aKhaya ivorensis 650 $apathogens 650 $aÁrvore 650 $aDoença 650 $aDoença de Planta 650 $aFungo 650 $aLeguminosa Forrageira 650 $aMogno 650 $aPatógeno 650 $aPlanta Produtora de Madeira 653 $aAfrican mahogany 653 $aBrasil 653 $aBroca da ponteira 653 $aCilindrocladium parasiticum 653 $aCylindrocladium parasiticum 653 $aDiseases 653 $aFeed legumes 653 $aIgarape-Acu 653 $aMogno africano 653 $aOcorrencia 653 $aPará 653 $aPlant diseases 653 $aSwietenis macrophyla 700 1 $aALBUQUERQUE, F. C. de 700 1 $aTRINDADE, D. R. 700 1 $aDUARTE, M. de L. R. 700 1 $aROCHA NETO, O. G. da
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Embrapa Amazônia Oriental (CPATU) |
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