高程数据是地形分析、工程规划及生态环境监测的关键基础数据。然而，传统高程测量方法往往存在局部区域分辨率不足、数据更新滞后或复杂地形区精度受限等问题，制约了对研究区精细地形特征的准确刻画。本研究利用大疆无人机搭载激光雷达 L2 设备，结合地面地面基站作为辅助数据源，通过点云数据配准及插值建模等处理方法，生成研究区高精度（厘米级）高程数据产品。
", "ds_source": "激光点云数据来源于大疆禅思L2激光雷达，其高程精度可达到4厘米，平面精度可达5厘米，高的精度能够为高精度测绘提供极为准确的数据基础。单架次作业面积为2.5平方公里，这意味着在一次飞行任务中可以覆盖较大的区域，提高了作业效率。最大支持5回波，点云发射数据率为240000点/秒，高回波数和高数据率能够获取更丰富的地形信息。单个激光点光斑面积更小，当穿透物体后，反射回来的能量越强，也就越容易被接收到。在激光点数量足够多情况下，能够接收到缝隙下反射回的点数量更多，从而使还原程度更好，为测绘工作提供更细致、更准确地形数据模型。
", "ds_process_way": "（1）配置激光旁向重叠度为30%，采取仿地飞行模式，回波模式为五回波，采样频率为240 kHz，飞行高度为100 m，安全起飞高度为20 m，航线速度为9.8 m，主航线角度为112 m，可获得密度为144点/m2的点云。\n
（2）数据解算与转换，融合全球导航卫星系统（GNSS）后差分数据与惯性导航单元（IMU）数据，得到高精度坐标与姿态（POS）数据。\n
（3)使用大疆智图调整坐标系，插补处理生成研究区域高程。\n
（4）使用cloudcompare对比点云高程数据。
", "ds_quality": "飞行器航测过程中PSO状态固定解保持100%，IMU轨迹误差均维持在毫米级
", "ds_acq_start_time": "2024-07-01 00:00:00", "ds_acq_end_time": "2024-12-31 00:00:00", "ds_acq_place": "木里煤田四号坑", "ds_acq_lon_east": 99.15, "ds_acq_lat_south": 38.12694444444445, "ds_acq_lon_west": 99.11999999999999, "ds_acq_lat_north": 38.14, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 3329355083, "ds_files_count": 0, "ds_format": "*.tif", "ds_space_res": "0.2m", "ds_time_res": "", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "ae47c84a-028b-4a59-bb0d-7e9775d8b047.jpeg", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": "", "organization_id": "5b99d600-008a-4069-8fc3-7adb9c3f2f8b", "ds_serv_man": "徐培耘", "ds_serv_phone": "13259922729", "ds_serv_mail": "xupy@xust.edu.cn", "doi_value": "", "subject_codes": [ "170.45" ], "quality_level": 0, "publish_time": "2026-06-10 10:03:18", "last_updated": "2026-06-10 10:03:18", "protected": false, "protected_to": "2027-08-20 00:00:00", "lang": "zh", "cstr": "", "i18n": { "en": { "title": "Slope Elevation and Comparative Data Set of Pit 4 in Muli Coalfield, Qinghai Province (2024)", "ds_format": "*.tif", "ds_source": "The laser point cloud data comes from the DJI Zenith L2 LiDAR, with an elevation accuracy of up to 4 centimeters and a plane accuracy of up to 5 centimeters. The high precision can provide an extremely accurate data foundation for high-precision mapping. The single flight operation area is 2.5 square kilometers, which means that a larger area can be covered in one flight mission, improving operational efficiency. The maximum support is 5 echoes, with a point cloud transmission data rate of 240000 points per second. High echo numbers and high data rates can obtain richer terrain information. A single laser spot has a smaller spot area, and the stronger the reflected energy after penetrating an object, the easier it is to be received. When there are enough laser points, more points reflected back from the gap can be received, resulting in better restoration and providing more detailed and accurate terrain data models for surveying work.
", "ds_quality": "During the aerial survey of the aircraft, the fixed solution of PSO state remains at 100%, and the IMU trajectory error is maintained at the millimeter level
", "ds_ref_way": "", "ds_abstract": "Elevation data is a key foundational data for terrain analysis, engineering planning, and ecological environment monitoring. However, traditional elevation measurement methods often suffer from issues such as insufficient local resolution, delayed data updates, or limited accuracy in complex terrain areas, which restrict the accurate characterization of fine terrain features in the study area. This study utilizes DJI drones equipped with LiDAR L2 equipment, combined with ground base stations as auxiliary data sources, to generate high-precision (centimeter level) elevation data products for the research area through point cloud data registration and interpolation modeling processing methods.
", "ds_time_res": "", "ds_acq_place": "Muli Coalfield Pit No. 4", "ds_space_res": "", "ds_projection": "", "ds_process_way": "(1) Configure a laser lateral overlap of 30%, adopt a land-simulated flight mode, the echo mode is five-echo, the sampling frequency is 240 kHz, the flight altitude is 100 m, the safe take-off altitude is 20 m, and the route speed is 9.8 m., the main route angle is 112 m, and a point cloud with a density of 144 points/m2 can be obtained.\r\n
(2) Data resolution and conversion, integrating global navigation satellite system (GNSS) post-differential data with inertial navigation unit (IMU) data to obtain high-precision coordinate and attitude (POS) data.\r\n
(3) Use DJI Intelligent Map to adjust the coordinate system and interpolation to generate the elevation of the research area.\r\n
(4) Use cloudcompare to compare point cloud elevation data.
", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "recommendation_value": 0, "license_type": "https://creativecommons.org/licenses/by/4.0/", "doi_reg_from": "reg_local", "cstr_reg_from": "reg_local", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "is_paper_in_submitting": false, "belong_to_nieer": false, "ds_topic_tags": [ "激光点云", "点云配准", "高程" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "青海省", "木里煤田四号坑" ], "ds_time_tags": [ 2024 ], "ds_contributors": [ { "true_name": "徐培耘", "email": "xupy@xust.edu.cn", "work_for": "西安科技大学", "country": "中国" }, { "true_name": "王锴", "email": "3114412346@qq.com", "work_for": "西安科技大学", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "王锴", "email": "3114412346@qq.com", "work_for": "西安科技大学", "country": "中国" } ], "ds_managers": [ { "true_name": "徐培耘", "email": "xupy@xust.edu.cn", "work_for": "西安科技大学", "country": "中国" } ], "category": "其他" }