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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
28/03/2018 |
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Data da última atualização: |
11/11/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
ARVOR, D.; DAHER, F. R. G.; BRIAND, D.; DUFOUR, S.; ROLLET, A.-J.; SIMÕES, M.; FERRAZ, R. P. D. |
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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. |
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Título: |
Monitoring thirty years of small water reservoirs proliferation in the southern Brazilian Amazon with Landsat time series. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
ISPRS Journal of Photogrammetry and Remote Sensing, v. 145, pt. B, p. 225-237, Nov. 2018. |
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DOI: |
https://doi.org/10.1016/j.isprsjprs.2018.03.015 |
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Idioma: |
Inglês |
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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 |
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Palavras-Chave: |
Mato Grosso; Reservatórios de água; Séries temporais. |
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Thesaurus Nal: |
Landsat; Time series analysis; Water reservoirs. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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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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| 1. |  | ARVOR, D.; DAHER, F. R. G.; BRIAND, D.; DUFOUR, S.; ROLLET, A.-J.; SIMÕES, M.; FERRAZ, R. P. D. Monitoring thirty years of small water reservoirs proliferation in the southern Brazilian Amazon with Landsat time series. ISPRS Journal of Photogrammetry and Remote Sensing, v. 145, pt. B, p. 225-237, Nov. 2018.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
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