本数据集针对天山奎屯河流域冰川，利用SRTM V3和FABDEM V1-2遥感数据产品，通过差值计算，获取冰川表面高程变化。单位为米（m）。数据集主要为遥感影像提取资料，仅表示遥感影像获取时间的冰川表面高程变化，时间为2000-2010年。", "ds_source": "
SRTM V3：由美国太空总署（ NASA）和国家测绘局（ NIMA） 于2000 年 2 月 11 日联合测量获取。此数据产品 2003 年开始公开发布，经历多修订，目前的数据修订版本为 V3 版本。该版本使用更先进的算法，并融合了多源数据来填补原始SRTM数据中的空洞（主要由水体和雷达阴影导致）。这些辅助数据包括：ASTER GDEM v2，USGS GMTED2010，来自前面提到的TanDEM-X任务的数据和其他区域性地形数据。90 m 分辨率 DEM。\n
FABDEM V1-2：全称是 Forest And Buildings removed Copernicus DEM。是一个全球性的、去除了树木和建筑物高度的数字高程模型（DEM）。基于欧洲航天局（ESA）的 Copernicus DEM（GLO-30），该数据本身源自TanDEM-X雷达卫星任务，具有高垂直精度。使用先进的机器学习算法（主要是卷积神经网络）和辅助数据（如全球森林高度图、建筑足迹数据），识别并减去全球范围内的森林树冠和建筑物高度。30 m 分辨率。", "ds_process_way": "
对不同时期的DEM进行精度检验后，利用坡度坡向与高程差的余弦关系，进行平面与高程校正；然后利用最大曲率与高程差的关系，降低因不同分辨率带来的误差，对两期DEM进行配准和相对精度评价，得到不同时期的冰川高程变化。", "ds_quality": "
非冰川区高程差平均为0.94 m。", "ds_acq_start_time": "2000-01-01 00:00:00", "ds_acq_end_time": "2010-12-31 00:00:00", "ds_acq_place": "天山，奎屯河流域", "ds_acq_lon_east": 84.83333333333333, "ds_acq_lat_south": 43.5, "ds_acq_lon_west": 84.16666666666667, "ds_acq_lat_north": 44.13333333333333, "ds_acq_alt_low": 3700.0, "ds_acq_alt_high": 4900.0, "ds_share_type": "apply-access", "ds_total_size": 55509105, "ds_files_count": 10, "ds_format": "tif", "ds_space_res": "30", "ds_time_res": "", "ds_coordinate": "WGS84", "ds_projection": "UTM", "ds_thumbnail": "e9cffe93-227b-4838-8337-41ed7eb6b90d.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "76330c66-832b-46b3-b501-f5f6edb08dc2", "ds_serv_man": "敏玉芳", "ds_serv_phone": "09314967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170" ], "quality_level": 3, "publish_time": "2026-02-05 11:33:10", "last_updated": "2026-02-05 11:33:10", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.TIANSHAN.DB7100.2026", "i18n": { "en": { "title": "Changes in Glacier Surface Elevation in the Kuitun River Basin of Tianshan Mountains (2000-2010)", "ds_format": "tif", "ds_source": "
SRTM V3: jointly measured by NASA and NIMA on February 11, 2000. This data product has been publicly released since 2003 and has undergone multiple revisions. The current revised version of the data is V3. This version uses more advanced algorithms and integrates multi-source data to fill the gaps in the original SRTM data (mainly caused by water bodies and radar shadows). These auxiliary data include ASTER GDEM v2, USGS GMTED2010, data from the TanDEM-X mission mentioned earlier, and other regional terrain data. 90 meter resolution DEM.\n
FABDEM V1-2: The full name is Forest And Buildings removed Copernicus DEM. It is a global digital elevation model (DEM) that removes the height of trees and buildings. Based on the Copernicus DEM (GLO-30) of the European Space Agency (ESA), the data itself comes from the TanDEM-X radar satellite mission and has high vertical accuracy. Using advanced machine learning algorithms (primarily convolutional neural networks) and auxiliary data (such as global forest height maps and building footprint data), identify and subtract forest canopy and building heights worldwide. 30 meter resolution.", "ds_quality": "
The average elevation difference in non glacial areas is 0.94 meters.", "ds_ref_way": "", "ds_abstract": "
This dataset focuses on glaciers in the Kuitun River Basin of Tianshan Mountains. Using SRTM V3 and FABDEM V1-2 remote sensing data products, the surface elevation changes of glaciers are obtained through difference calculation. The unit is meters (m). The dataset is mainly used for extracting data from remote sensing images, and only represents the elevation changes of glacier surfaces at the time of remote sensing image acquisition, from 2000 to 2010.", "ds_time_res": "", "ds_acq_place": "Tian Shan, Kuitun River Basin", "ds_space_res": "30", "ds_projection": "UTM", "ds_process_way": "
After conducting accuracy checks on DEMs from different periods, the cosine relationship between slope direction and elevation difference is used for plane and elevation correction; Then, by utilizing the relationship between maximum curvature and elevation difference, the errors caused by different resolutions are reduced, and the two phases of DEM are registered and the relative accuracy is evaluated to obtain the glacier elevation changes in different periods.", "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": [ "冰川", "表面高程", "天山" ], "ds_subject_tags": [ "地球科学" ], "ds_class_tags": [], "ds_locus_tags": [ "天山，奎屯河流域" ], "ds_time_tags": [ 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010 ], "ds_contributors": [ { "true_name": "岳晓英", "email": "yuexiaoying@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "岳晓英", "email": "yuexiaoying@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "ds_managers": [ { "true_name": "岳晓英", "email": "yuexiaoying@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "category": "冰川" }