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COTTON CROP MONITORING USING MULTISPECTRAL OPTICAL SATELLITE IMAGERY

机译:利用多光谱卫星影像监测棉花作物

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This paper details the validity of utilizing a color-based approach to monitor cotton crop readiness. By harnessing the TripleSat Constellation's 0.8m resolution multispectral imagery, this paper introduces how the maturing of cotton plants can be captured through non-conventional methodologies: employing the usage of the visible spectral bands to detect the change in the plantation's surface reflectance. Through the experiment, it was discovered that the red wavelength band (600-670nm) responded most significantly to cotton's phenological changes during the maturing phase. A hypothetical index is thus constructed to detect this physical change in cotton plantations. This allows for stakeholders to better monitor cotton readiness, and also to pre-empt incoming harvesting seasons over large areas simultaneously. This paper constitutes a portion of 21 AT's engagement with agricultural research, using high-resolution imagery to further improve this field of study, be it in enhanced crop monitoring, crop health management, soil studies, or land suitability evaluations.
机译:本文详细介绍了使用基于颜色的方法来监测棉花作物准备情况的有效性。通过利用TripleSat Constellation的0.8m分辨率多光谱图像,本文介绍了如何通过非常规方法捕获棉花植物的成熟过程:利用可见光谱带来检测种植园的表面反射率变化。通过实验,发现红色波长带(600-670nm)对棉花成熟期物候变化的响应最为显着。因此,构建了一个假设指标来检测棉花种植园中的这种物理变化。这使利益相关者可以更好地监控棉花的准备情况,并同时抢占大面积的即将到来的收获季节。本文是21 AT从事农业研究的一部分,使用高分辨率图像进一步改善了该研究领域,无论是在增强作物监测,作物健康管理,土壤研究或土地适宜性评估中。

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