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首页> 外文期刊>International journal of applied earth observation and geoinformation >Utilization of Resourcesat-1 data for improved crop discrimination
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Utilization of Resourcesat-1 data for improved crop discrimination

机译:利用Resources-1数据改善作物歧视

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摘要

Subsequent to the launchof the state-of-art third generationIndianRemote Sensingsatellite, Resourcesat-1, studies have been conducted to understand the capabilities of the on-board sensors for crop discrimination. The paper discusses the unique capabilities of the AWiFS, LISS-III and LISS-IV sensors in terms of their dimensionality, radiometry and spatial resolutions for crop discrimination and monitoring. The studies have indicated better crop discriminability especially using the short wave infrared data in 1.55–1.70 mmdata among the spectrally confusing land cover classes, attributed to the relative differences of water contents. 10-bit radiometry of AWiFS data in four bands has been observed to be a better discriminant. Intrafield variability was very well captured by the LISS-IV data revealing the potential of data for applications like precision farming. The studies have revealed that potential of Resourcesat-1 data becoming the workhorse for several agricultural applications.
机译:在推出最先进的第三代“印度遥感卫星” Resourceat-1之后,进行了研究,以了解车载传感器对作物歧视的能力。本文从AWiFS,LISS-III和LISS-IV传感器的尺寸,辐射度和空间分辨率等方面讨论了作物识别和监测的独特功能。研究表明,更好的农作物辨别力,尤其是在光谱混乱的土地覆盖类别中使用1.55-1.70 mm数据中的短波红外数据,这是由于水分含量的相对差异所致。已观察到四个波段的AWiFS数据的10位放射线学是更好的判别方法。 LISS-IV数据很好地捕获了田间变异性,揭示了数据在诸如精确耕作等应用中的潜力。研究表明,Resourceat-1数据的潜力已成为多种农业应用的主力军。

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