本数据集基于Landsat OLI影像，结合ArcGIS和ENVI软件、NDSI和GoogleEarth影像，采用半自动化冰川制图方法提取冰川边界。该数据可为天山地区冰川研究提供基础数据支持。", "ds_source": "
原始影像为Landsat OLI陆地卫星影像数据，从地理空间数据云(http://www.gscloud.cn/)下载。", "ds_process_way": "
1.波段比值法自动提取初始冰川边界；
2.人工修订初始边界。", "ds_quality": "
误差可视为由目视解译捕捉冰川边界后遥感图像的分辨率造成。因此， 冰川解译的不确定性可按公式计算：EA = N·λ2/2，其中， N 为像元数； λ为不同遥感图像的分辨率。综合评估表明，2014年乌鲁木齐河流域冰川目视解译的不确定性为±0.96 km2。", "ds_acq_start_time": "2014-08-30 00:00:00", "ds_acq_end_time": "2014-08-31 00:00:00", "ds_acq_place": "天山乌鲁木齐河流域", "ds_acq_lon_east": 87.5, "ds_acq_lat_south": 43.0, "ds_acq_lon_west": 86.5, "ds_acq_lat_north": 43.25, "ds_acq_alt_low": 2500.0, "ds_acq_alt_high": 4500.0, "ds_share_type": "apply-access", "ds_total_size": 4730, "ds_files_count": 5, "ds_format": "shp", "ds_space_res": "30", "ds_time_res": "", "ds_coordinate": "WGS84", "ds_projection": "UTM", "ds_thumbnail": "f47f880e-5c44-4cf8-9f96-0da2b35de532.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": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.99" ], "quality_level": 3, "publish_time": "2026-02-05 14:44:43", "last_updated": "2026-02-05 14:44:43", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.TIANSHAN.DB7102.2026", "license": null, "i18n": { "en": { "title": "The distribution dataset of glacier in the Urumqi River Basin of the Tianshan Mountain （2014）", "ds_format": "shp", "ds_source": "
The original image is Landsat OLI land satellite image data, obtained from geographic spatial data clouds（ http://www.gscloud.cn/ ）Download.", "ds_quality": "
The error can be attributed to the resolution of remote sensing images captured by visual interpretation of glacier boundaries. Therefore, the uncertainty of glacier interpretation can be calculated according to the formula: EA=N ·λ 2/2, where N is the number of pixels; λ is the resolution of different remote sensing images. The comprehensive evaluation shows that the uncertainty of visual interpretation of glaciers in the Urumqi River Basin in 2014 was ± 0.96 km2.", "ds_ref_way": "", "ds_abstract": "
This dataset is based on Landsat OLI images, combined with ArcGIS and ENVI software, NDSI and Google Earth images, and uses semi-automatic glacier mapping methods to extract glacier boundaries. This data can provide basic data support for glacier research in the Tianshan region.", "ds_time_res": "", "ds_acq_place": "Tianshan Urumqi River Basin", "ds_space_res": "30", "ds_projection": "", "ds_process_way": "
1. The band ratio method automatically extracts the initial glacier boundary;
2. Manually revise the initial boundary.", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC BY 4.0", "ds_topic_tags": [ "天山", "冰川", "反照率" ], "ds_subject_tags": [ "地球科学其他学科" ], "ds_class_tags": [], "ds_locus_tags": [ "天山乌鲁木齐河流域" ], "ds_time_tags": [ 2014 ], "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" }