利用Landsat历史时期无云影像数据，在第一次冰川编目和第二次冰川编目数据基础上，利用目视解译的方法进行手动修正，分别得到2015年柴达木盆地冰川矢量数据。通过面积统计得到盆地冰川在各个时期的冰川面积并利用修正后的矢量图层绘制出2015年冰川的分布图。\n
本数据集主要应用于冰冻圈科学研究。", "ds_source": "
Landsat历史时期无云影像数据。", "ds_process_way": "
在ENVI软件中利用波段比值法并设定阈值得到二值图像，将二值图转换为冰川边界矢量文件，得到自动提取结果，在ArcGIS软件中结合目视解译的方法手动修正边界。", "ds_quality": "
原始资料数据精度：\n
Landsat5 TM传感器共有7个波段，覆盖了从红外到可见光的不同波长范围，空间分辨率30米和120米，重访周期16天，扫描幅宽185km。\n
(1)数据生产过程: Landsat5 collection1产品，包括1级精确和地形（L1TP）校正数据，这些数据具有良好表征的辐射测量，并在不同的Landsat仪器之间进行相互校准。第1层场景的地理配准是一致的，并且在规定的图像 - 图像容差内≤12米径向均方根误差（RMSE）。 \n
(2)方法和标准规范:辐射校正、地形校正\n
在加工生成数据时，保留所有原始数据。", "ds_acq_start_time": "2015-01-01 00:00:00", "ds_acq_end_time": "2015-12-31 00:00:00", "ds_acq_place": "柴达木盆地", "ds_acq_lon_east": 99.25, "ds_acq_lat_south": 35.0, "ds_acq_lon_west": 90.25, "ds_acq_lat_north": 39.31666666666667, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 1969024, "ds_files_count": 2, "ds_format": "shp", "ds_space_res": "30m", "ds_time_res": "", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "a7f7d226-9c93-4317-85d9-6579c42d196d.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "4851e874-eafc-4879-812b-ffbdd825e967", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "10.12072/ncdc.Hydro.db2438.2022", "subject_codes": [ "170.45" ], "quality_level": 3, "publish_time": "2022-09-29 11:01:47", "last_updated": "2025-04-29 15:58:53", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.Hydro.db2438.2022", "i18n": { "en": { "title": "Distribution map of glaciers in Qaidam region (2015)", "ds_format": "shp", "ds_source": "
Landsat historical cloud free image data.", "ds_quality": "
a. Accuracy of original data\n
Landsat5 TM sensor has a total of 7 bands, covering different wavelength ranges from infrared to visible light. The spatial resolution is 30m and 120m. The revisit period is 16 days and the scanning width is 185km.\n
(1) Data production process: Landsat 5 Collection1 products include level 1 accurate and topographic (l1tp) correction data, which have well characterized radiometric measurements and are mutually calibrated between different Landsat instruments. The geographical registration of the first layer scene is consistent and ≤ 12m radial root mean square error (RMSE) within the specified image image tolerance.\n
(2) Methods and standard specifications: radiometric correction and topographic correction\n
When processing the generated data, keep all the original data.", "ds_ref_way": "", "ds_abstract": "
Based on the cloud free image data of Landsat in the historical period and the data of the first and second glaciers cataloguing, the vector data of glaciers in Qaidam Basin in 2015 were obtained by manual correction using visual interpretation. Through area statistics, the glacier area of the basin glaciers in various periods is obtained, and the distribution map of glaciers in 2015 is drawn by using the modified vector layer.\n
This data set is mainly applied to the scientific research of Cryosphere.
", "ds_time_res": "", "ds_acq_place": "Qaidam Basin", "ds_space_res": "30m", "ds_projection": "", "ds_process_way": "In envi software, the band ratio method is used and the threshold is set to obtain the binary image. The binary image is converted into a glacier boundary vector file, and the automatic extraction result is obtained. In ArcGIS software, the boundary is manually corrected by combining visual interpretation.", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC 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": [ "柴达木盆地", "冰川分布", "Landsat" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "柴达木盆地" ], "ds_time_tags": [ 2015 ], "ds_contributors": [ { "true_name": "朱高峰", "email": "zhugf@lzu.edu.cn", "work_for": "兰州大学", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "石梦寒", "email": "shimh20@lzu.edu.cn", "work_for": "兰州大学", "country": "中国" } ], "ds_managers": [ { "true_name": "朱高峰", "email": "zhugf@lzu.edu.cn", "work_for": "兰州大学", "country": "中国" } ], "category": "冰川" }