基于Landsat系列卫星遥感数据和12.5m分辨率DEM数据，使用特征优选随机森林方法提取了托木尔峰地区冰川表碛分布情况；基于sentinel-1 SLC数据，采用偏移量追踪方法估算了托木尔峰地区2021-2022年逐月冰川流速。", "ds_source": "
Landsat 影像数据下载自美国地质勘探局（United States Geological Survey，USGS）\n
Earth Explorer 网站(http://earthexplorer.usgs.gov/)；\n
Sentinel-1A 数据获取自美国国家航空航天局（National Aeronautics and Space Administration，NASA）阿拉斯加卫星设备处（AlaskaSatellite Facility，ASF）。", "ds_process_way": "
利用结合纹理和地形因素的特征优选随机森林方法识别了托木尔型冰川 1989 年到 2022 年的表碛范围变化。基于 Sentinel-1 影像数据，采用偏移量跟踪方法提取了托木尔型冰川的流速。", "ds_quality": "
本研究表碛识别和冰川流速估算结果采用可靠方法获取，可用于托木尔峰地区冰川相关研究。", "ds_acq_start_time": "1989-01-01 00:00:00", "ds_acq_end_time": "2022-12-22 00:00:00", "ds_acq_place": "天山托木尔峰地区", "ds_acq_lon_east": 80.91666666666667, "ds_acq_lat_south": 41.11666666666667, "ds_acq_lon_west": 79.25, "ds_acq_lat_north": 42.61666666666667, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 347090869, "ds_files_count": 1700, "ds_format": "shp，栅格", "ds_space_res": "", "ds_time_res": "", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "1c8a8e4e-6fb3-4a95-b3f7-6b8cf7249bea.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "52b7b79b-860c-49a5-9083-9a70cf8bed5a", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.55" ], "quality_level": 3, "publish_time": "2026-01-23 09:54:12", "last_updated": "2026-02-06 10:30:57", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.NIEER.DB7061.2026", "i18n": { "en": { "title": "Glacier surface till and flow velocity dataset in the Tuomu'er Peak area of Tianshan Mountains (1989, 2021, 2022)", "ds_format": "", "ds_source": "
Landsat image data downloaded from the United States Geological Survey (USGS)\n
Earth Explorer website（ http://earthexplorer.usgs.gov/ )；\n
The Sentinel-1A data was obtained from the Alaska Satellite Facility (ASF) of the National Aeronautics and Space Administration (NASA) in the United States.", "ds_quality": "
The identification of moraines and estimation of glacier flow velocity in this study were obtained using reliable methods, which can be used for glacier related research in the Tomur Peak area.", "ds_ref_way": "", "ds_abstract": "
Based on Landsat series satellite remote sensing data and 12.5m resolution DEM data, the feature selection random forest method was used to extract the distribution of glacier moraines in the Tomur Peak area; Based on Sentinel-1 SLC data, the monthly glacier flow velocity in the Tomur Peak area from 2021 to 2022 was estimated using offset tracking method.", "ds_time_res": "", "ds_acq_place": "Tianshan Tuomu'er Peak area", "ds_space_res": "", "ds_projection": "", "ds_process_way": "
The feature selection random forest method, which combines texture and terrain factors, was used to identify the changes in surface moraine range of the Tomur type glacier from 1989 to 2022. Based on Sentinel-1 image data, the flow velocity of the Tomur type glacier was extracted using offset tracking method.", "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, "ds_topic_tags": [ "表碛识别", "特征选择", "冰川流速提取" ], "ds_subject_tags": [ "水文学" ], "ds_class_tags": [], "ds_locus_tags": [ "天山地区" ], "ds_time_tags": [ 1989, 2021, 2022 ], "ds_contributors": [ { "true_name": "许民", "email": "xumin@lzb.ac.cn", "work_for": "中科院西北生态环境资源研究院", "country": "中国" }, { "true_name": "周卫永", "email": "dayzzwy@gmail.com", "work_for": "兰州交通大学", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "许民", "email": "xumin@lzb.ac.cn", "work_for": "中科院西北生态环境资源研究院", "country": "中国" } ], "ds_managers": [ { "true_name": "许民", "email": "xumin@lzb.ac.cn", "work_for": "中科院西北生态环境资源研究院", "country": "中国" } ], "category": "冰川" }