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Evapotranspiration and energy balance components spatial distribution in the north region of Minas Gerais,Brazil,using the SEBAL model and Landsat 5 TM images

机译:利用SEBAL模型和Landsat 5 TM图像,巴西米纳斯吉拉斯州北部地区的蒸散量和能量平衡组成空间分布

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The determination of crop evapotranspiration (ETc) values is very useful information for planning irrigation, water supply estimation, regulation of water rights and river basins hydrologic studies. Values of ETc in the North region of Minas Gerais state, Brazil, were estimated in this research from the multispectral images of the Landsat 5 TM by means of the model Surface Energy Balance Algorithm for Land- SEBAL, based on the simplified energy balance equation of a surface covered by vegetation, using a few daily surface climatological parameters (wind speed, rainfall, air temperature and relative humidity, solar radiation). The aim of this study was to estimate the regional spatial distribution of the energy balance components and evapotranspiration in the study area, covering the irrigated perimeter of Gorutuba, involving the cities of Nova Porteirinha, Janauba, Porteirinha, Verdelandia and Pai Pedro. Thematic maps of regional evapotranspiration and energy balance components were generated from spectral analyzes of the images obtained, associated with the used weather data. The ability of SEBAL to provide the spatial variability of energy balance components, including evapotranspiration, demonstrated its sensitivity to different occupation of the soil surface vegetation, and to high data temporal and spatial resolutions data, indicating that the SEBAL model can be used in scales and operational routine for north region of Minas Gerais.
机译:作物蒸散量(ETc)值的确定对于规划灌溉,供水估计,水权管理和流域水文研究非常有用。根据Landsat 5 TM的多光谱图像,基于Land-SEBAL模型的表面能平衡算法,基于巴西的Minas Gerais州北部地区的ETc值,通过简化的能量平衡方程,通过模型估算。使用一些日常的表面气候参数(风速,降雨量,空气温度和相对湿度,太阳辐射)覆盖着植被的地表。这项研究的目的是估计研究区域的能量平衡成分和蒸散量的区域空间分布,该区域覆盖了戈鲁图巴(Gorutuba)的灌溉周界,涉及新星波德林尼亚,贾纳乌巴,波德林尼亚,佛得兰和帕伊佩德罗三个城市。区域蒸散量和能量平衡分量的专题图是通过对获得的图像进行光谱分析得出的,并与所使用的天气数据相关联。 SEBAL提供能量平衡成分(包括蒸散量)的空间变异性的能力证明了其对土壤表层植被的不同占用以及对高数据时空分辨率数据的敏感性,表明SEBAL模型可用于规模和米纳斯吉拉斯州北部地区的日常操作。

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