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Water productivity assessment by using MODIS images and agrometeorological data in the Petrolina municipality, Brazil

机译:在巴西普罗利纳市的MODIS图像和农业气象数据使用MODIS图像和农业气象数据

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The municipality of Petrolina, located in the semi-arid region of Brazil, is highlighted as an important agricultural growing region, however the irrigated areas have cleared natural vegetation inducing a loss of biodiversity. To analyze the contrast between these two ecosystems the large scale values of biomass production (BIO), evapotranspiration (ET) and water productivity (WP) were quantified. Monteith's equation was applied for estimating the absorbed photosynthetically active radiation (APAR), while the new SAFER (Simple Algorithm For Evapotranspiration Retrieving) algorithm was used to retrieve ET. The water productivity (WP) was analysed by the ratio of BIO by ET at monthly time scale with four bands of MODIS satellite images together with agrometeorological data for the year of 2011. The period with the highest water productivity values were from March to April in the rainy period for both irrigated and not irrigated conditions. However the largest ET rates were in November for irrigated crops and April for natural vegetation. More uniformity of the vegetation and water variables occurs in natural vegetation, evidenced by the lower values of standard deviation when comparing to irrigated crops, due to the different crop stages, cultural and irrigation managements. The models applied with MODIS satellite images on a large scale are considered to be suitable for water productivity assessments and for quantifying the effects of increasing irrigated areas over natural vegetation on regional water consumption in situations of quick changing land use pattern.
机译:Petrolina的市政府位于巴西半干旱地区,被强调为一个重要的农业生长地区,然而灌溉地区已清除了造成生物多样性丧失的自然植被。为了分析这两种生态系统之间的对比度,量化生物量产生(BIO),蒸散蒸腾(ET)和水生产率(WP)的大规模值。蒙特思方程被应用用于估计吸收的光合作动辐射(APAR),而新的更安全(简单的蒸发散热检索)算法用于检索等。通过每月时间刻度的生物速度与2011年的农业气象数据的四频段的日期级别规模进行了水生产率(WP)。随着水生产率最高的期限为3月至4月灌溉和不灌溉条件的雨季。然而,最大的et率为11月,为灌溉作物和四月用于天然植被。由于不同的作物阶段,文化和灌溉管理,在与灌溉作物相比,标准偏差值较低的值,植被和水变量的更加均匀性。用大规模的MODIS卫星图像应用的模型被认为适用于水生产率评估,并用于量化灌溉区域在快速变化的土地利用模式的情况下增加灌溉区域对区域用水量的影响。

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