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Estimativa de volume de madeira em plantios de Eucalyptus spp. utilizando dados hiperespectrais e dados topográficos

机译:木质体积估计桉树SPP种植园。使用高光谱数据和地形数据

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The availability of orbital hyperspectral data has brought new perspectives to both academic and corporative sectors solving demands in forestry science. The main objective of this work was to evaluate the potential of Hyperion EO-1 hyperspectral data to quantify the biophysical timber volume in Eucalyptus spp stands and the effect of hill shading in that quantification. For this, the correlations between spectral data and timber volume were performed following the use of Multiple Linear regression models as the descriptors of the relationships established. The relief effect on the Eucalyptus spp. canopy reflectance was taken into account. The Hyperion EO-1 data were converted to BRF surface values, which were considered the basis of the entire work. The study area was located in the municipality of Cap?o Bonito (the State of S?o Paulo, Brazil) and included Eucalyptus spp. stands managed by the Votorantim Papel e Celulose company (VCP). Spectral samples were collected in different topographic conditions. In the establishment of the relationship with timber volume, the vegetation indices estimated using hyperspectral data resulted in models with higher R2 when considering the topographic illumination effect, showing higher applicability potential of this data.
机译:轨道高光谱数据的可用性为林业科学的需求提供了新的观点。这项工作的主要目的是评估Hyperion EO-1高光谱数据的潜力,以量化桉树SPP的生物物理木材体积以及山丘遮蔽在该量化中的影响。为此,在使用多元线性回归模型之后执行频谱数据和木材体积之间的相关性作为建立的关系的描述符。对桉树SPP的救济作用。考虑到树冠反射率。 Hyperion EO-1数据被转换为BRF表面值,被认为是整个工作的基础。该研究区域位于Cap的市政府(S?o Paulo,巴西)和桉树SPP。由Votorantim Papel E Celulose公司(VCP)管理。在不同的地形条件下收集光谱样品。在建立与木材体积的关系中,植被指数在考虑地形照明效果时估计使用高光谱数据导致具有更高R2的模型,显示出该数据的更高的适用性潜力。

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