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Earth Observing Data and Methods for Advancing Water Harvesting Technologies in the Semi-arid Rain-Fed Environments of India

机译:地球观测数据和用于推进印度半干旱雨灌环境中的水收集技术的方法

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The paper develops approaches and methods of modeling and mapping land and water productivity of rain-fed crops in semi-arid environments of India using hyperspectral, hyperspatial, and advanced multispectral remote sensing data and linking the same to field-plot data and climate station data. The overarching goal is to provide information to advance water harvesting technologies in the agricultural croplands of the semi-arid environments of India by conducting research in a representative pilot site in Jodhpur, Rajasthan, India.
机译:本文利用高光谱,超缺口和高级多光谱遥感数据和将相同的现场绘图数据和气候数据库数据连接了印度半干旱环境中的雨粮作物的建模和绘制土地和水生产率的方法和方法。 。首要目标是通过在印度焦斯坦的焦特布尔的代表试点现场进行研究,提供资料,以推进印度半干旱环境的农业农作物。

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