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Registro Completo |
Biblioteca(s): |
Embrapa Solos. |
Data corrente: |
28/03/2018 |
Data da última atualização: |
11/11/2021 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
ARVOR, D.; DAHER, F. R. G.; BRIAND, D.; DUFOUR, S.; ROLLET, A.-J.; SIMÕES, M.; FERRAZ, R. P. D. |
Afiliação: |
DAMIEN ARVOR, Univ Rennes, CNRS, LETG; FELIPE R. G. DAHER, Univ Rennes, CNRS, LETG; DOMINIQUE BRIAND, IRD, UMR Espace-Dev; SIMON DUFOUR, Univ Rennes, CNRS, LETG; ANNE-JULIA ROLLET, Univ Rennes, CNRS, LETG; MARGARETH GONCALVES SIMOES, CNPS; RODRIGO PECANHA DEMONTE FERRAZ, CNPS. |
Título: |
Monitoring thirty years of small water reservoirs proliferation in the southern Brazilian Amazon with Landsat time series. |
Ano de publicação: |
2018 |
Fonte/Imprenta: |
ISPRS Journal of Photogrammetry and Remote Sensing, v. 145, pt. B, p. 225-237, Nov. 2018. |
DOI: |
https://doi.org/10.1016/j.isprsjprs.2018.03.015 |
Idioma: |
Inglês |
Conteúdo: |
The recent decoupling of agricultural production and deforestation in the southern Amazon has been made possible thanks to (1) the adoption of intensive agricultural practices, including irrigation, and (2) the diversification of economic activities, including fish farming. Whereas this new agricultural model has brought out positive results to contain deforestation, it also implied new pressures on the environment, and especially on water resources. Many small artificial water reservoirs have been built with different uses, e.g. crop irrigation, energy generation, fish farming or livestock watering. In this paper, we introduce a method to automatically map small water bodies based on time series of Landsat images. The method was tested in the municipality of Sorriso (state of Mato Grosso, Brazil). The statistical results (Overall Accuracy=0.872; Kappa index=0.745) validated the efficiency of the methodology although the spatial resolution of Landsat images limited the detection of very small and linear reservoirs. In Sorriso, we estimated that the cumulated area and the number of small water reservoirs increased more than tenfold (from 153 to 1707 ha) and fivefold (86 to 522), respectively, between 1985 and 2015. We discuss the numerous socio-environmental implications raised by the cumulated impacts of these proliferating small reservoirs. We conclude that integrated whole-landscape approaches are necessary to assess how anthropized hydrosystems can counteract or exacerbate the socio-environmental impacts of deforestation and intensive agriculture. MenosThe recent decoupling of agricultural production and deforestation in the southern Amazon has been made possible thanks to (1) the adoption of intensive agricultural practices, including irrigation, and (2) the diversification of economic activities, including fish farming. Whereas this new agricultural model has brought out positive results to contain deforestation, it also implied new pressures on the environment, and especially on water resources. Many small artificial water reservoirs have been built with different uses, e.g. crop irrigation, energy generation, fish farming or livestock watering. In this paper, we introduce a method to automatically map small water bodies based on time series of Landsat images. The method was tested in the municipality of Sorriso (state of Mato Grosso, Brazil). The statistical results (Overall Accuracy=0.872; Kappa index=0.745) validated the efficiency of the methodology although the spatial resolution of Landsat images limited the detection of very small and linear reservoirs. In Sorriso, we estimated that the cumulated area and the number of small water reservoirs increased more than tenfold (from 153 to 1707 ha) and fivefold (86 to 522), respectively, between 1985 and 2015. We discuss the numerous socio-environmental implications raised by the cumulated impacts of these proliferating small reservoirs. We conclude that integrated whole-landscape approaches are necessary to assess how anthropized hydrosystems can counteract or exacerbat... Mostrar Tudo |
Palavras-Chave: |
Mato Grosso; Reservatórios de água; Séries temporais. |
Thesaurus Nal: |
Landsat; Time series analysis; Water reservoirs. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
Marc: |
LEADER 02472naa a2200277 a 4500 001 2089856 005 2021-11-11 008 2018 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1016/j.isprsjprs.2018.03.015$2DOI 100 1 $aARVOR, D. 245 $aMonitoring thirty years of small water reservoirs proliferation in the southern Brazilian Amazon with Landsat time series.$h[electronic resource] 260 $c2018 520 $aThe recent decoupling of agricultural production and deforestation in the southern Amazon has been made possible thanks to (1) the adoption of intensive agricultural practices, including irrigation, and (2) the diversification of economic activities, including fish farming. Whereas this new agricultural model has brought out positive results to contain deforestation, it also implied new pressures on the environment, and especially on water resources. Many small artificial water reservoirs have been built with different uses, e.g. crop irrigation, energy generation, fish farming or livestock watering. In this paper, we introduce a method to automatically map small water bodies based on time series of Landsat images. The method was tested in the municipality of Sorriso (state of Mato Grosso, Brazil). The statistical results (Overall Accuracy=0.872; Kappa index=0.745) validated the efficiency of the methodology although the spatial resolution of Landsat images limited the detection of very small and linear reservoirs. In Sorriso, we estimated that the cumulated area and the number of small water reservoirs increased more than tenfold (from 153 to 1707 ha) and fivefold (86 to 522), respectively, between 1985 and 2015. We discuss the numerous socio-environmental implications raised by the cumulated impacts of these proliferating small reservoirs. We conclude that integrated whole-landscape approaches are necessary to assess how anthropized hydrosystems can counteract or exacerbate the socio-environmental impacts of deforestation and intensive agriculture. 650 $aLandsat 650 $aTime series analysis 650 $aWater reservoirs 653 $aMato Grosso 653 $aReservatórios de água 653 $aSéries temporais 700 1 $aDAHER, F. R. G. 700 1 $aBRIAND, D. 700 1 $aDUFOUR, S. 700 1 $aROLLET, A.-J. 700 1 $aSIMÕES, M. 700 1 $aFERRAZ, R. P. D. 773 $tISPRS Journal of Photogrammetry and Remote Sensing$gv. 145, pt. B, p. 225-237, Nov. 2018.
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Registros recuperados : 32 | |
4. | | BÉGUÉ, A.; ARVOR, D.; LELONG, C.; VINTROU, E.; SIMÕES, M. Agricultural systems studies using remote sensing. In: TENKABAIL, P. S. (Ed.). Land resources monitoring, modeling, and mapping with remote sensing. Boca Raton: CRC Press, 2015. cap. 5, p. 113-130.Tipo: Capítulo em Livro Técnico-Científico |
Biblioteca(s): Embrapa Solos. |
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7. | | ARVOR, D.; JONATHAN, M.; MEIRELLES, M. S. P.; DUBREUIL, V. Detecting outliers and asserting consistency in agriculture ground truth information by using temporal VI data from modis. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, v. 37, pt. B7, p. 1031-1036, 2008. Edition of Proceedings of XXI ISPRS Congress, Beijing, Jul. 2008.Tipo: Artigo em Anais de Congresso / Nota Técnica |
Biblioteca(s): Embrapa Solos. |
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8. | | JONATHAN, M.; ARVOR, D.; MEIRELLES, M. S. P.; DUBREUIL, V. Field-oriented assessment of agricultural crops through temporal segmentation of modis VI data. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, v. 37, pt. B7, p. 921-926, 2008. Edition of Proceedings of XXI ISPRS Congress, Beijing, Jul. 2008.Tipo: Artigo em Anais de Congresso / Nota Técnica |
Biblioteca(s): Embrapa Solos. |
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11. | | MEIRELLES, M. S. P.; FREITAS, P. L. de; FERRAZ, R. P. D.; ARVOR, D.; DUBREUIL, V. Avaliação da dinâmica de uso da terra por meio de dados de sensores remotos para uma agricultura sustentável. In: LEITE, L. F. C.; MACIEL, G. A.; ARAÚJO, A. S. F. de (Ed.). Agricultura conservacionista no Brasil. Brasília, DF: Embrapa, 2014. pt 5, cap. 6, p. 489-511.Tipo: Capítulo em Livro Técnico-Científico |
Biblioteca(s): Embrapa Solos. |
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12. | | KUCHLER, P. C.; BÉGUÉ, A.; SIMÕES, M.; GAETANO, R.; ARVOR, D.; FERRAZ, R. P. D. Assessing the optimal preprocessing steps of MODIS time series to map cropping systems in Mato Grosso, Brazil. International Journal of Applied Earth Observation and Geoinformation, v. 92, 102150, Oct. 2020.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
Biblioteca(s): Embrapa Solos. |
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13. | | ARVOR, D.; MEIRELLES, M. S. P.; DUBREUIL, V.; BEGUÈ, A.; SHIMABUKURO, Y. E. Analyzing the agricultural transition in Mato Grosso, Brazil, using satellite-derived indices. Applied Geography, v. 32, p. 702-713, 2011.Biblioteca(s): Embrapa Solos. |
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14. | | ARVOR, D.; SAN'TANNA NETO, J. L.; DUBREUIL, V.; ALMEIDA, I. R. de; MEIRELLES, M. S. P. Análise dos perfis temporais de EVI/MODIS para o monitoramento da cultura da soja no Estado de Mato Grosso, Brasil. In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO., 13., 2007, Florianópolis/SC. [São José dos Campos: INPE, 2007]. p. 51-58.Tipo: Artigo em Anais de Congresso |
Biblioteca(s): Embrapa Soja. |
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16. | | ARVOR, D.; JONATHAN, M.; MEIRELLES, M. S. P.; DUBREUIL, V.; DURIEUX, L. Classification of MODIS EVI time series for crop mapping in the state of Mato Grosso, Brazil. International Journal of Remote Sensing, v. 32, n. 22, p. 7847-7871, 2011.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
Biblioteca(s): Embrapa Solos. |
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17. | | ARVOR, D.; JONATHAN, M.; MEIRELLES, M. S. P.; DUBREUIL, V.; LECERF, R. Comparison of multitemporal MODIS-EVI smoothing algorithms and its contribution to crop monitoring. In: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2008, Boston. Proceedings... Danvers, MA: IEEE, 2008. v. 2, p. 958-961.Tipo: Artigo em Anais de Congresso |
Biblioteca(s): Embrapa Solos. |
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Registros recuperados : 32 | |
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