The Atlantic Forest in Brazil has been suffering natural and anthropic perturbations over the years, which has been impacting, qualitatively and quantitatively, with different degrees and intensities, its canopy cover. These perturbations can be caused by the selective cut of species, burning, natural death of trees, among several other factors, which act directly on the composition and the floristic diversity of fragments of the forest. The main motivation for conducting this work was to alert about the relevance of the Atlantic forest conservation and the need for a constant monitoring system to preserve what has been left of it. This can be partially achieved by permanently estimating its canopy cover. This paper describes the implementation and evaluation of the descriptors: energy, entropy, homogeneity, contrast and the sum of the high-frequency Discrete Fourier Transform (DFT), for estimating canopy cover based on High Resolution Camera (HRC) satellite images. The analyses carried out based on the results of the experiments showed that the energy descriptor was the best descriptor among those used and, comparatively to the others, obtained the higher correlation (r), determination (R) and significance (p). Based on the experiments, the energy descriptor presented an expressive potential to be used in processes for estimating the canopy cover based on satellite images, in large areas of the semi-deciduous forest.

中文翻译：

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一种基于高分辨率图像的估计半落叶巴西大西洋森林片段冠层覆盖的方法

多年来，巴西的大西洋森林一直在遭受自然和人为扰动，这在质量和数量上都在不同程度和强度地影响其冠层覆盖。这些扰动可能是由物种的选择性砍伐、燃烧、树木自然死亡以及其他几个因素引起的，这些因素直接影响森林碎片的组成和植物多样性。开展这项工作的主要动机是提醒人们注意大西洋森林保护的相关性，以及需要一个持续的监测系统来保护剩下的东西。这可以通过永久估计其顶篷覆盖来部分实现。本文描述了描述符的实现和评估：能量、熵、同质性、对比度和高频离散傅立叶变换 (DFT) 的总和，用于基于高分辨率相机 (HRC) 卫星图像估计冠层覆盖。根据实验结果进行的分析表明，能量描述符是所使用的描述符中最好的描述符，并且与其他描述符相比，获得了更高的相关性 (r)、确定性 (R) 和显着性 (p)。在实验的基础上，能量描述符呈现出一种表达潜力，可用于基于卫星图像估计大面积半落叶林中的冠层覆盖的过程。根据实验结果进行的分析表明，能量描述符是所使用的描述符中最好的描述符，并且与其他描述符相比，获得了更高的相关性 (r)、确定性 (R) 和显着性 (p)。在实验的基础上，能量描述符呈现出一种表达潜力，可用于基于卫星图像估计大面积半落叶林中的冠层覆盖的过程。根据实验结果进行的分析表明，能量描述符是所使用的描述符中最好的描述符，并且与其他描述符相比，获得了更高的相关性 (r)、确定性 (R) 和显着性 (p)。在实验的基础上，能量描述符呈现出一种表达潜力，可用于基于卫星图像估计大面积半落叶林中的冠层覆盖的过程。