A dataset of UAV remote sensing images of Lanzhou Botanical Garden in 2021

Zhiyuan Gong, Xuemei Li, Guigang Wang, Qiuping Li, Kaixin Zhao, Zhengrong Zhang, Xinyu Liu
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Abstract

In the study, we used a small drone carrying a visual monitoring camera to obtain the spectral reflectance information of the red, green and blue bands in Lanzhou Botanical Garden. And on the basis of the drone data of Lanzhou Botanical Garden from March First to December 30, 2021, we prepared a dataset of remote sensing images. During the data collection process, the UAV conducted 72 aerial surveys, and took a total of 15,696 images. After aerial triangulation and orthophoto correction, we spliced the images to obtain the digital orthophoto map (DOM), and further calculated the vegetation index results. This dataset includes two kinds of data: DOM and vegetation index. Lanzhou Botanical Garden is located in Anning District, Lanzhou City, Gansu Province, with rich vegetation varieties and high spatial heterogeneity in the study area. This dataset has certain potential for researchers to explore in urban vegetation phenology, urban ecological monitoring, and urban thermal environment.
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2021年兰州植物园无人机遥感图像数据集
在研究中,我们使用一架携带视觉监控相机的小型无人机来获取兰州植物园红、绿、蓝波段的光谱反射率信息。基于兰州植物园2021年3月1日至12月30日的无人机数据,我们准备了一个遥感图像数据集。在数据收集过程中,无人机进行了72次空中调查,共拍摄了15696张图像。经过空中三角测量和正射影像校正,我们将图像拼接得到数字正射影像图(DOM),并进一步计算植被指数结果。该数据集包括两类数据:DOM和植被指数。兰州植物园位于甘肃省兰州市安宁区,研究区植被种类丰富,空间异质性高。该数据集具有一定的潜力,可供研究人员在城市植被表型、城市生态监测和城市热环境等方面进行探索。
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