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Application of Landsat images for quantifying the energy balance under conditions of land use changes in the semi-arid region of Brazil

机译:应用Landsat影像量化巴西半干旱地区土地利用变化条件下的能量平衡

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In the Nilo Coelho irrigation scheme, Brazil, the natural vegetation has been replaced by irrigated agriculture, bringing importance for the quantification of the effects on the energy exchanges between the mixed vegetated surfaces and the lower atmosphere. Landsat satellite images and agro-meteorological stations from 1992 to 2011 were used together, for modelling these exchanges. Surface albedo (α_o), NDVI and surface temperature (T_o) were the basic remote sensing retrieving parameters necessary to calculate the latent heat flux (λE) and the surface resistance to evapotranspiration (r_s) on a large scale. The daily net radiation (R_n) was obtained from α_o, air temperature (T_a) and short-wave transmissivity (t_(sw)) throughout the slob equation, allowing the quantification of the daily sensible heat flux (H) by residual in the energy balance equation. With a threshold value for r_s, it was possible to separate the energy fluxes from crops and natural vegetation. The averaged fractions of R_n partitioned as H and λE, were in average 39 and 67%, respectively. It was observed an increase of the energy used for the evapotranspiration process inside irrigated areas from 51% in 1992 to 80% in 2011, with the ratio λE/R_n presenting an increase of 3 % per year. The tools and models applied in the current research, can subsidize the monitoring of the coupled climate and land use changes effects in irrigation perimeters, being valuable when aiming the sustainability of the irrigated agriculture in the future, avoiding conflicts among different water users.
机译:在巴西的Nilo Coelho灌溉计划中,天然植被已被灌溉农业所取代,这对于量化混合植被表面与低层大气之间的能量交换影响至关重要。 1992年至2011年的Landsat卫星影像和农业气象站一起用于模拟这些交换。表面反照率(α_o),NDVI和表面温度(T_o)是基本计算大范围潜热通量(λE)和表面蒸散阻力(r_s)所需的基本遥感参数。在整个slob方程中,从α_o,气温(T_a)和短波透射率(t_(sw))获得每日净辐射(R_n),从而可以通过能量中的残留量来量化每日感热通量(H)。平衡方程。通过r_s的阈值,可以从农作物和自然植被中分离出能量通量。 R_n的平均分数分别为H和λE,分别平均为39%和67%。据观察,灌溉区域内蒸散过程所用的能量从1992年的51%增加到2011年的80%,而λE/ R_n的比值每年增加3%。当前研究中使用的工具和模型可以补贴对灌溉周界中气候和土地利用变化耦合效应的监测,这对于未来实现灌溉农业的可持续性,避免不同用水者之间的冲突具有重要意义。

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