A multi-source typical land cover classification dataset of the Field Park in Wuhan (2020)

The dataset was collected using unmanned aerial vehicles (UAVs) equipped with a multispectral camera and a dual-light thermal infrared camera over the Feild Park in Wuhan. Data processing and annotation were conducted using ArcGIS and Labelme software. The geographical scope is around 114.01°E, 30.45°N. The specific areas include the Field Park and its surrounding areas in Wuhan, Hubei Province, China. The data volume is 334 MB. This dataset includes three types of data sources: visible light, thermal infrared, and five single-band multispectral data, with spatial resolutions of 0.0700 m, 0.2684 m, and 0.1540 m, respectively. It covers six typical land cover types: water bodies, vegetation, bare land, buildings, brick roads, and asphalt roads. In total, it contains a total of 612 image tiles and corresponding labels. The imagery provided in this dataset features both a high spatial resolution of 7 centimeters and contains rich spectral information in visible light, multispectral, and thermal infrared bands, enabling a more comprehensive description of land cover characteristics.

本数据集采用搭载多光谱相机与双光热红外相机的无人机（UAV），于武汉菲尔德公园（Feild Park）上空完成数据采集。数据处理与标注工作借助ArcGIS与Labelme软件完成。地理覆盖范围约为东经114.01°、北纬30.45°周边区域，具体涵盖中国湖北省武汉市的菲尔德公园及其周边地带。数据集总容量为334 MB，包含三类数据源：可见光数据、热红外数据以及由五个单波段构成的多光谱数据，三者的空间分辨率分别为0.0700米、0.2684米与0.1540米。本数据集覆盖六大典型土地覆盖类型，分别为水体、植被、裸地、建筑物、砖铺路与沥青路，总计包含612幅影像切片及其对应的标注文件。本数据集提供的影像兼具7厘米的高空间分辨率，且可见光、多光谱与热红外波段蕴含丰富的光谱信息，可实现对土地覆盖特征的全面表征。