To identify areas of high biodiversity and prioritize conservation efforts, it is crucial to understand the drivers of species richness patterns and their scale dependence. While classified land cover products are commonly used to explain bird species richness, recent studies suggest that unclassified remote-sensed images can provide equally good or better results. In our study, we aimed to investigate whether unclassified multispectral data from Landsat 8 can replace image classification for bird diversity modeling. Moreover, we also tested the Spectral Variability Hypothesis.

中文翻译：

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遥感光谱异质性与鸟类多样性之间的关系受景观类型调节

为了确定生物多样性丰富的地区并优先考虑保护工作，了解物种丰富度模式的驱动因素及其规模依赖性至关重要。虽然分类的土地覆盖产品通常用于解释鸟类物种的丰富度，但最近的研究表明，未分类的遥感图像可以提供同样好的或更好的结果。在我们的研究中，我们旨在研究来自 Landsat 8 的未分类多光谱数据是否可以替代鸟类多样性建模的图像分类。此外，我们还测试了光谱变异假说。