The crustal thickness in South America has been mostly determined using seismological techniques. However, because these techniques provide point constraint or profile-specific results, the crustal thickness maps become especially dependent on both the number and spatial distribution of seismological stations. In the Amazonian Craton, the extensive forest cover restricts the number of existing stations, not allowing to elaborate a solely seismological crustal thickness model with homogeneous data coverage. Therefore, to overcome this difficulty, this work proposes a crustal thickness model for the Amazonian Craton developed based on the Parker-Oldenburg method and the Global Geopotential Model called GECO, considering the relationships between wavelengths and depths of the investigation sources. Furthermore, the developed iterative process allowed to determine the average depth of the crust-mantle interface, the density contrast at the interface, and the minimum and maximum frequencies used in the signal filtering process, making the model more robust for defining the used constants. The average crustal thickness of the Amazonian Craton was estimated as 40.25 km, with a standard deviation of the differences of 4.91 km, compared to crustal thickness defined by the seismological data. The estimated model shows great consistency with the data set used while allowing important inferences about craton compartmentation. Also, the geological provinces displayed an N–S connecting trend under the Amazonas, Solimões, and Acre basins, correlating the Guyana Shield with the Central Brazil Shield. Additionally, we observed various tectonic cycles acting on the craton while significantly modifying the structure of the provinces, possibly removing cratonic roots and rejuvenating the crust in older provinces.

南美洲的地壳厚度主要是使用地震学技术确定的。然而，由于这些技术提供点约束或特定剖面的结果，地壳厚度图变得特别依赖于地震台站的数量和空间分布。在亚马逊克拉通，广泛的森林覆盖限制了现有台站的数量，不允许详细阐述具有均匀数据覆盖的单独地震地壳厚度模型。因此，为了克服这一困难，本工作考虑了调查源波长和深度之间的关系，提出了基于 Parker-Oldenburg 方法和称为 GECO 的全球位势模型开发的亚马逊克拉通地壳厚度模型。此外，开发的迭代过程允许确定壳幔界面的平均深度、界面处的密度对比以及信号滤波过程中使用的最小和最大频率，使模型在定义使用的常数时更加稳健。亚马逊克拉通的平均地壳厚度估计为 40.25 公里，与地震数据定义的地壳厚度相比，差异的标准偏差为 4.91 公里。估计模型显示出与所使用数据集的高度一致性，同时允许对克拉通划分进行重要推断。此外，在亚马孙盆地、Solimões 和 Acre 盆地下，地质省份显示出 N-S 连接趋势，将圭亚那地盾与巴西中部地盾联系起来。此外，