02472naa a2200277 a 450000100080000000500110000800800410001902400570006010000140011724501500013126000090028152015810029065000120187165000250188365000210190865300160192965300280194565300220197370000200199570000150201570000150203070000180204570000160206370000210207977300940210020898562021-11-11       2018    bl uuuu     u00u1 u    #d7 ahttps://doi.org/10.1016/j.isprsjprs.2018.03.0152DOI1 aARVOR, D.  aMonitoring thirty years of small water reservoirs proliferation in the southern Brazilian Amazon with Landsat time series.h[electronic resource]  c2018  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.  aLandsat  aTime series analysis  aWater reservoirs  aMato Grosso  aReservatórios de água  aSéries temporais1 aDAHER, F. R. G.1 aBRIAND, D.1 aDUFOUR, S.1 aROLLET, A.-J.1 aSIMÕES, M.1 aFERRAZ, R. P. D.  tISPRS Journal of Photogrammetry and Remote Sensinggv. 145, pt. B, p. 225-237, Nov. 2018.