首页> 外文OA文献 >Spectral Characteristics Of Soybean During The Vegetative Cycle With Landsat 5/tm Images In The Western Paraná, Brazil [características Espectrais Da Soja Ao Longo Do Ciclo Vegetativo Com Imagens Landsat 5/tm Em área Agrícola No Oeste Do Paraná]
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Spectral Characteristics Of Soybean During The Vegetative Cycle With Landsat 5/tm Images In The Western Paraná, Brazil [características Espectrais Da Soja Ao Longo Do Ciclo Vegetativo Com Imagens Landsat 5/tm Em área Agrícola No Oeste Do Paraná]

机译:巴西西巴拉那州具有Landsat 5 / tm图像的植物在营养循环中的光谱特征[巴拉那西部农业区的大豆具有Landsat 5 / tm图像在植物的营养循环中的光谱特征]

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摘要

The objective of this study was to analyze changes in the spectral behavior of the soybean crop through spectral profiles of the vegetation indexes NDVI and GVI, expressed by different physical values such as apparent bi-directional reflectance factor (BRF), surface BRF, and normalized BRF derived from images of the Landsat 5/TM. A soybean area located in Cascavel, Paraná, was monitored by using five images of Landsat 5/TM during the 2004/2005 harvesting season. The images were submitted to radiometric transformation, atmospheric correction and normalization, determining physical values of apparent BRF, surface BRF and normalized BRF. NDVI and GVI images were generated in order to distinguish the soybean biomass spectral response. The treatments showed different results for apparent, surface and normalized BRF. Through the profiles of average NDVI and GVI, it was possible to monitor the entire soybean cycle, characterizing its development. It was also observed that the data from normalized BRF negatively affected the spectral curve of soybean crop, mainly, during the phase of vegetative growth, in the 12-9-2004 image.
机译:本研究的目的是通过植被指数NDVI和GVI的光谱图分析大豆作物的光谱行为变化,该光谱图由不同的物理值表示,例如表观双向反射系数(BRF),表面BRF和归一化BRF来自Landsat 5 / TM的图像。在2004/2005收获季节期间,通过使用Landsat 5 / TM的五幅图像对位于巴拉那州Cascavel的大豆区域进行了监测。将图像进行辐射转换,大气校正和归一化,确定表观BRF,表面BRF和归一化BRF的物理值。生成NDVI和GVI图像以区分大豆生物量光谱响应。对于表观,表面和归一化的BRF,治疗显示出不同的结果。通过平均NDVI和GVI的资料,可以监测整个大豆周期,从而表征其发育过程。还观察到,归一化BRF数据主要在植物生长阶段的2004-12-9图像中对大豆作物的光谱曲线产生负面影响。

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