HY-9010-L 无人机载高光谱成像系统获取，覆盖兰州大学榆中校区研究区。传感器光谱范围约 400–1000 nm，光谱分辨率优于 2.8 nm，采用 4× 光谱/空间合并模式获得 300 个波段、480 像元跨航迹空间通道。原始 ENVI 立方体空间尺寸约为 480×6560 像元和 480×41701 像元（两条航线），光谱通道数 300，波长范围约 388–1025 nm，可用于精细地物识别、岸坡物质组成分析及地表环境监测等研究。
\n数据空间分辨率取决于飞行高度，本数据在典型航高下地面分辨率约为 0.3–0.5 m。\n
数据以 ENVI 标准格式存储，可直接在 ENVI / ENVI Classic 软件中通过“File → Open Image File”加载 .hdr 文件打开，也可通过 GDAL 在 QGIS、ArcGIS 等平台读取", "ds_source": "
数据由 HY-9010-L 无人机载高光谱成像系统获取。系统采用 CMOS 探测器，空间分辨率为 0.7 mrad@F=35 mm，空间通道数 1920（1×）、960（2×）、480（4×），本数据采用 480 通道模式；光谱通道数 1200（1×）、600（2×）、300（4×），本数据采用 300 通道模式。数据通过 USB3.0 接口实时采集，成像帧率最高 128 fps。原始图像以 ENVI Standard 格式存储，行×列为 6560×480 和 41701×480，光谱波段数 300，数据类型为 64 位浮点（data type=12），按 BIL 方式交错，header 文件中记录了每个波段的中心波长（单位：nm）。
", "ds_process_way": "", "ds_quality": "采集前对系统进行了光谱与空间统一标定，并在飞行过程中结合标准白板和暗场采集进行辐射定标，消除了大部分条带和暗电流噪声。成像过程中剔除了严重过曝、运动模糊和云影干扰的航线片段；波段范围内信噪比较高，连续性良好，头尾个别波段可能受系统响应衰减影响，可在应用中根据需要予以剔除。整体来看，数据空间几何畸变较小，光谱曲线平滑连续，可满足精细光谱分析与分类识别的需求。
", "ds_acq_start_time": "2024-07-01 00:00:00", "ds_acq_end_time": "2024-07-31 00:00:00", "ds_acq_place": "中国，兰州", "ds_acq_lon_east": null, "ds_acq_lat_south": null, "ds_acq_lon_west": null, "ds_acq_lat_north": null, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 54776948289, "ds_files_count": 0, "ds_format": "ENVI Standard格式，BIL交错，64位浮点(data type=12)，含.hdr头文件", "ds_space_res": "", "ds_time_res": "", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "2d7a3362-f3c4-4dbc-a8a3-806fc3e76567.png", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": "", "organization_id": "bf138922-7121-438c-8d1b-19d5f751c907", "ds_serv_man": "李红星", "ds_serv_phone": "0931-4967592", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.35" ], "quality_level": 0, "publish_time": "2026-05-21 17:24:42", "last_updated": "2026-05-21 17:24:42", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.loess.db7343.2026", "i18n": { "en": { "title": "Lanzhou University Yuzhong Campus Study Area UAV Hyperspectral Image Dataset", "ds_format": "", "ds_source": "The data were acquired by the HY-9010-L UAV-borne hyperspectral imaging system. The system uses a CMOS detector with an angular spatial resolution of 0.7 mrad at F=35 mm. It provides 1920 (1×), 960 (2×) and 480 (4×) spatial channels; in this dataset, the 480-channel mode is used. The spectral channels are 1200 (1×), 600 (2×) and 300 (4×); here, the 300-band mode is adopted. Data are recorded through a USB3.0 interface with a maximum frame rate of 128 fps. The original images are stored in ENVI Standard format, with image sizes of 6560×480 and 41701×480 (lines×samples), 300 spectral bands, 64-bit floating-point data type (data type = 12) and BIL interleave. The ENVI header files record the central wavelength of each band (unit: nm).", "ds_quality": "
Before acquisition, the system was spectrally and spatially calibrated. During the flights, radiometric calibration was performed using standard white reference panels and dark current measurements, which removed most striping and dark-current noise. Flight segments that suffered from severe over-exposure, motion blur, or cloud-shadow contamination were discarded. Within the spectral range, the data exhibit high signal-to-noise ratio and good spectral continuity; a few bands at the spectrum edges may be affected by sensor response decay and can be removed if necessary. Overall, the data show small geometric distortion and smooth spectral curves, and they meet the requirements for detailed spectral analysis and classification.", "ds_ref_way": "", "ds_abstract": "
The dataset was acquired by the HY-9010-L UAV-borne hyperspectral imaging system over the study area of the Yuzhong Campus of Lanzhou University. The sensor covers a spectral range of approximately 400–1000 nm with a spectral resolution better than 2.8 nm. Using the 4× spectral/spatial binning mode, 300 spectral bands and 480 across-track spatial channels are obtained. The original ENVI data cubes have spatial sizes of about 480×6560 pixels and 480×41701 pixels (two flight strips), with 300 bands spanning approximately 388–1025 nm. The dataset can be used for detailed land-cover classification, riverbank material composition analysis, and surface environmental monitoring.\r\n
The data are stored in ENVI Standard format and can be directly opened in ENVI / ENVI Classic via “File → Open Image File” by loading the .hdr files, or read via GDAL in software platforms such as QGIS and ArcGIS.", "ds_time_res": "", "ds_acq_place": "Lanzhou China", "ds_space_res": "", "ds_projection": "", "ds_process_way": "", "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, "ds_topic_tags": [ "无人机遥感", "高光谱成像" ], "ds_subject_tags": [ "大地测量学" ], "ds_class_tags": [], "ds_locus_tags": [ "中国", "兰州" ], "ds_time_tags": [ 2024 ], "ds_contributors": [ { "true_name": "吴琼", "email": "wuqiong@jlu.edu.cn", "work_for": "吉林大学", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "吴琼", "email": "wuqiong@jlu.edu.cn", "work_for": "吉林大学", "country": "中国" } ], "ds_managers": [ { "true_name": "吴琼", "email": "wuqiong@jlu.edu.cn", "work_for": "吉林大学", "country": "中国" } ], "category": "其他" }