论文标题
Geolifeclef 2020数据集
The GeoLifeCLEF 2020 Dataset
论文作者
论文摘要
了解物种的地理分布是保护的关键问题。通过将物种的发生与环境特征配对，研究人员可以对环境与可能在那里发现的物种之间的关系进行建模。为了促进该领域的研究，我们介绍了Geolifeclef 2020数据集，该数据集由190万种物种观测值组成，除了传统的低分辨率气候和土壤变量外，还与高分辨率遥感图像，土地覆盖数据和高度相结合。我们还讨论了Geolifeclef 2020竞赛，该竞赛旨在使用该数据集来推进基于位置的物种建议中的最先进。
Understanding the geographic distribution of species is a key concern in conservation. By pairing species occurrences with environmental features, researchers can model the relationship between an environment and the species which may be found there. To facilitate research in this area, we present the GeoLifeCLEF 2020 dataset, which consists of 1.9 million species observations paired with high-resolution remote sensing imagery, land cover data, and altitude, in addition to traditional low-resolution climate and soil variables. We also discuss the GeoLifeCLEF 2020 competition, which aims to use this dataset to advance the state-of-the-art in location-based species recommendation.
