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| 1. |  | HALL, M. R.; HUANG, J. C.; OTA, R.; REDELMAN, D.; HANKS, D.; TAYLOR, R. E. L. Characterization of Tritrichomonas foetus antigens, using bovine antiserum. American Journal Veterinary Research, v.47, n.12, p.2549-2553, Dec. 1986.| Biblioteca(s): Embrapa Pantanal. |
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| 2. | | KVASNICKA, W. G.; TAYLOR, R. E. L.; HUANG, J. C.; HANKS, D.; TRONSTAD, R. J.; BOSOMWORTH, A.; HALL, M. R. Investigations of the incidente of bovine trichomoniasis in Nevada and of the efficacy of immunizing cattle with vaccines containing Tritrichomonas foetus. Theriogenology, v.31, n.5, p.963-971, 1989.| Biblioteca(s): Embrapa Pantanal. |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Agricultura Digital. Para informações adicionais entre em contato com cnptia.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
07/01/2020 |
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Data da última atualização: |
04/02/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
LI, G.; LU, D.; MORAN, E.; CALVI, M. F.; DUTRA, L. V.; BATISTELLA, M. |
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Afiliação: |
GUIYING LI, Fujian Normal University; DENGSHENG LU, Fujian Normal University, Michigan StateUniversity; EMILIO MORAN, Michigan State University; MIQUÉIAS FREITAS CALVI, UFPA; LUCIANO VIEIRA DUTRA, INPE; MATEUS BATISTELLA, CNPTIA. |
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Título: |
Examining deforestation and agropasture dynamics along the Brazilian TransAmazon Highway using multitemporal Landsat imagery. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
GIScience & Remote Sensing, v. 56, n. 2, p. 161-183, 2019. |
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DOI: |
https://doi.org/10.1080/15481603.2018.1497438 |
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Idioma: |
Inglês |
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Conteúdo: |
This research aims to understand the difference of major land-cover change results caused in various time periods and to examine the impacts of human-induced factors on land-cover changes along the TransAmazon Highway region. The Landsat Thematic Mapper and Operational Land Imager data from 2011, 2014, and 2017 and our previous land-cover classification results in 1991, 2000, and 2008 were used to examine land-cover dynamics. A classification system consisting of five land-cover classes ? primary forest (PF), secondary forest (SF), agropasture (AP), urban area, and water ? were chosen. The hierarchical-based classification method was used to generate land-cover classification results, and the post-classification comparison approach was used to produce detailed ?from-to? conversions for each detection period. The emphasis was on deforestation of PF, dynamic change of SF and AP, and urbanization over time. The impacts of human-induced factors such as population and economic conditions on urban expansion, AP expansion, and deforestation were examined. This research indicated that selection of a suitable time period was critical for effectively detecting land-cover changes; that is, too long time period (i.e., 9 years) cannot accurately capture some land-cover changes such as the AP and SF in this research. Although deforestation ? the conversion from PF to SF and AP ? accounted for a large proportion of land-cover changes, the changes between SF and AP became moreproportion important than PF conversion, and required a short time period (i.e., 3 years here) for effectively reflecting their dynamics. Human-induced factors play important roles in deforestation, dynamic changes between AP and SF, and urbanization. MenosThis research aims to understand the difference of major land-cover change results caused in various time periods and to examine the impacts of human-induced factors on land-cover changes along the TransAmazon Highway region. The Landsat Thematic Mapper and Operational Land Imager data from 2011, 2014, and 2017 and our previous land-cover classification results in 1991, 2000, and 2008 were used to examine land-cover dynamics. A classification system consisting of five land-cover classes ? primary forest (PF), secondary forest (SF), agropasture (AP), urban area, and water ? were chosen. The hierarchical-based classification method was used to generate land-cover classification results, and the post-classification comparison approach was used to produce detailed ?from-to? conversions for each detection period. The emphasis was on deforestation of PF, dynamic change of SF and AP, and urbanization over time. The impacts of human-induced factors such as population and economic conditions on urban expansion, AP expansion, and deforestation were examined. This research indicated that selection of a suitable time period was critical for effectively detecting land-cover changes; that is, too long time period (i.e., 9 years) cannot accurately capture some land-cover changes such as the AP and SF in this research. Although deforestation ? the conversion from PF to SF and AP ? accounted for a large proportion of land-cover changes, the changes between SF and AP became moreproportion imp... Mostrar Tudo |
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Palavras-Chave: |
Agropasture expansion; Cobertura da terra; Human-induced factors; Multitemporal Landsat imagery; Secondary forest; TransAmazon; Transamazônica. |
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Thesagro: |
Desmatamento. |
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Thesaurus NAL: |
Deforestation; Land cover. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02700naa a2200313 a 4500
001 2118287
005 2020-02-04
008 2019 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1080/15481603.2018.1497438$2DOI
100 1 $aLI, G.
245 $aExamining deforestation and agropasture dynamics along the Brazilian TransAmazon Highway using multitemporal Landsat imagery.$h[electronic resource]
260 $c2019
520 $aThis research aims to understand the difference of major land-cover change results caused in various time periods and to examine the impacts of human-induced factors on land-cover changes along the TransAmazon Highway region. The Landsat Thematic Mapper and Operational Land Imager data from 2011, 2014, and 2017 and our previous land-cover classification results in 1991, 2000, and 2008 were used to examine land-cover dynamics. A classification system consisting of five land-cover classes ? primary forest (PF), secondary forest (SF), agropasture (AP), urban area, and water ? were chosen. The hierarchical-based classification method was used to generate land-cover classification results, and the post-classification comparison approach was used to produce detailed ?from-to? conversions for each detection period. The emphasis was on deforestation of PF, dynamic change of SF and AP, and urbanization over time. The impacts of human-induced factors such as population and economic conditions on urban expansion, AP expansion, and deforestation were examined. This research indicated that selection of a suitable time period was critical for effectively detecting land-cover changes; that is, too long time period (i.e., 9 years) cannot accurately capture some land-cover changes such as the AP and SF in this research. Although deforestation ? the conversion from PF to SF and AP ? accounted for a large proportion of land-cover changes, the changes between SF and AP became moreproportion important than PF conversion, and required a short time period (i.e., 3 years here) for effectively reflecting their dynamics. Human-induced factors play important roles in deforestation, dynamic changes between AP and SF, and urbanization.
650 $aDeforestation
650 $aLand cover
650 $aDesmatamento
653 $aAgropasture expansion
653 $aCobertura da terra
653 $aHuman-induced factors
653 $aMultitemporal Landsat imagery
653 $aSecondary forest
653 $aTransAmazon
653 $aTransamazônica
700 1 $aLU, D.
700 1 $aMORAN, E.
700 1 $aCALVI, M. F.
700 1 $aDUTRA, L. V.
700 1 $aBATISTELLA, M.
773 $tGIScience & Remote Sensing$gv. 56, n. 2, p. 161-183, 2019.
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