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高光谱(Hyperspectral)遥感是指光谱分辨率在10-2λ的遥感信息,其特点是光谱分辨率高(5~10nm)、波段连续性强(在0.4~2.5μm范围内有几百个波段)。高光谱遥感器既能对目标成像(有时也称成像光谱遥感)、又能测量目标物的波谱特性,因此,它不仅可以用来提高对农作物和植被类型的识别能力,而且还可以用来监测农作物长势和反演农作物的理化特性。绿色植物具有独特的光谱曲线特征,而作物具有绿色植物典型的光谱特征曲线,基于作物的光谱特征研究与其生理生化特性之间的关系,高光谱遥感数据在提取作物生理生化特征、提取作物冠层信息、估产以及预测病虫害等许多方面都表现出巨大的应用潜力。本文概述了利用高光谱数据提取作物冠层信息的研究现状、展望及其在新疆棉花生产中的应用和前景。
Hyperspectral remote sensing refers to the remote sensing information with spectral resolution of 10-2λ, characterized by high spectral resolution (5-10nm) and strong band continuity (hundreds of bands in the 0.4-2.5μm range) . Hyperspectral remote sensing can not only image the target (sometimes referred to as remote sensing of the imaging spectrum) but also measure the spectral characteristics of the target. Therefore, it can not only be used to improve the identification of crops and vegetation types, but also can be used to monitor Crop Prospects and Physical and Chemical Properties of Inverted Crops. Green plants have unique spectral curve characteristics, and crops have the typical spectral characteristics of green plants. Based on the relationship between the spectral characteristics of crops and their physiological and biochemical characteristics, hyperspectral remote sensing data are used to extract physiological and biochemical characteristics of crops and extract crop canopy Information, estimates and prediction of pests and many other areas have shown tremendous potential for use. This article summarizes the research status quo and prospects of using hyperspectral data to extract crop canopy information and its application and prospects in Xinjiang cotton production.