2020年3个典型区域无人机倾斜相机摄影影像数据集

数据集由蝗4.0无人机与飞马2000无人机通过倾斜摄影测量与后期制作而成，其中传感器采用灵境C5五镜头倾斜摄影航摄仪。数据集包含黄山旅游风景区、四川亚丁稻城、山西长治采矿修复区的无人机倾斜摄影测量数据，对黄山风景区进行无人机三维倾斜摄影测量建模，可以全景展现“天开图画、松海云川”的华夏文明风貌，以稻城亚丁为典型的生态保护区，通过获取的三维全景数据，可获得物种、群落的空间分布等相关的生物多样性参数、植被覆盖分类、水资源承载力评估等，以山西长治采煤修复区为典型区域，可通过获取矿区的三维地形，构建精细矿山三维模型，并依据不同时相数据，评估矿区修复水平。数据集空间分辨率达到5厘米，展现美丽中国文化与生态风貌，为美丽中国实景三维的实现提供了有力的数据支撑。

This dataset is generated by Huang 4.0 and Pegasus 2000 UAVs using oblique photogrammetry and post-processing workflows, with the Lingjing C5 five-lens oblique photogrammetric aerial camera as the onboard sensor. This dataset contains UAV-based oblique photogrammetric data from three typical areas: Huangshan Mountain Tourist Scenic Area, Daocheng Yading (a typical ecological protection area in Sichuan Province), and the coal mining restoration area in Changzhi, Shanxi Province. Conducting UAV-based 3D oblique photogrammetric modeling for Huangshan Scenic Area can fully showcase the Chinese civilization charm embodied in the landscape description "Heavenly-painted Scroll, Pine Seas and Cloud-kissed Rivers". For Daocheng Yading, the acquired 3D panoramic data can be utilized to extract biological diversity parameters including spatial distributions of species and communities, vegetation cover classification, and water resource carrying capacity assessments. For the coal mining restoration area in Changzhi, Shanxi, the acquired 3D terrain data can be used to build a precise 3D mine model, and evaluate the mining area's restoration level using multi-temporal datasets. With a spatial resolution of up to 5 cm, this dataset showcases the cultural and ecological landscapes of Beautiful China, providing robust data support for the implementation of the Real-scene 3D initiative of Beautiful China.

搜集汇总

背景与挑战

背景概述

该数据集是2020年利用无人机倾斜摄影技术获取的三个典型区域（黄山旅游风景区、四川亚丁稻城和山西长治采矿修复区）的高分辨率影像数据，空间分辨率达5厘米。数据集旨在支持三维建模、生态评估和矿区修复监测，为'美丽中国'实景三维建设提供数据支撑。