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Growth and Spectral Characteristics of Grassland in Response to Different Soil Textures

机译:不同土壤质地对草地生长和光谱特征的影响

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Biomass and the chlorophyll content are important indicators to measure the growth and development of grasslands. Modeling using hyperspectral data is an important means to monitor grassland growth and development. In this paper, we studied Mexican maize grass, hybrid Pennisetum and hybrid Sudan grass under different soil texture treatments and determined the correlation between the canopy reflectance spectrum and plant growth status in different soil textures based on hyperspectral data. Our results showed that, under different soil texture treatments, the emergence rate of Mexican maize grass and hybrid Pennisetum did not differ significantly, whereas that of hybrid Sudan grass indicated a significant difference. Under different soil texture treatments, the trend of plant height variation was consistent. In terms of different types of grassland, it is generally feasible to establish a grassland yield spectral model based on the vegetation indexes NDVI and RVI, and the leaf SPAD values of the three types of grassland best fit the spectral parameter red edge area.
机译:生物量和叶绿素含量是衡量草原生长发育的重要指标。使用高光谱数据进行建模是监视草地生长发育的重要手段。本文研究了不同土壤质地处理下的墨西哥玉米草,杂交狼尾草和杂交苏丹草,并根据高光谱数据确定了不同土壤质地下冠层反射光谱与植物生长状况的相关性。我们的结果表明,在不同的土壤质地处理下,墨西哥玉米草和杂交狼尾草的出苗率没有显着差异,而杂交苏丹草的出苗率有显着差异。在不同的土壤质地处理下,株高变化趋势是一致的。就不同类型的草地而言,基于植被指数NDVI和RVI建立草地产量光谱模型通常是可行的,并且三种类型的草地的叶片SPAD值最适合光谱参数红色边缘区域。

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