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；\n
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。综合评估表明冰川目视解译的不确定性为±0.96 km2。", "ds_acq_start_time": "2015-07-15 00:00:00", "ds_acq_end_time": "2015-07-15 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": 44.166666666666664, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 388656, "ds_files_count": 0, "ds_format": "*.shp", "ds_space_res": "", "ds_time_res": "年", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "63717750-5c2b-4d07-9e46-6b6896166b1f.png", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "76330c66-832b-46b3-b501-f5f6edb08dc2", "ds_serv_man": null, "ds_serv_phone": null, "ds_serv_mail": null, "doi_value": "", "subject_codes": [ "170.4510" ], "quality_level": 0, "publish_time": "2026-07-15 18:02:44", "last_updated": "2026-07-15 18:02:44", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.tianshan.db7644.2026", "i18n": { "en": { "title": "The distribution dataset of glacier in the Kuitun River Basin of the Tianshan Mountain （2015）", "ds_format": "*.shp", "ds_source": "
The raw image is Landsat OLI Landsat image data downloaded from the Geospatial Data Cloud (http://www.gscloud.cn/).", "ds_quality": "
The error can be considered to be caused by the resolution of remote sensing images after visual interpretation of the glacier boundary was captured. Therefore, the uncertainty of glacier interpretation can be calculated according to the formula: EA = N·λ2/2, where N is the number of pixels; λ is the resolution of different remote sensing images. A comprehensive assessment shows that the uncertainty of visual interpretation of glaciers is ±0.96 km2.", "ds_ref_way": "", "ds_abstract": "
This dataset is based on Landsat OLI images, combined with ArcGIS and ENVI software, NDSI and GoogleEarth images, and uses semi-automated glacier mapping methods to extract glacier boundaries. This data can provide basic data support for glacier research in the Tianshan Mountains.", "ds_time_res": "", "ds_acq_place": "Tianshan Mountains, Kuitun River Basin", "ds_space_res": "", "ds_projection": "", "ds_process_way": "
1. The band ratio method automatically extracts the initial glacier boundary;\r\n
2. Manually revise the initial boundary.", "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, "belong_to_nieer": false, "ds_topic_tags": [ "天山", "冰川" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "天山", "奎屯河流域" ], "ds_time_tags": [ 2015 ], "ds_contributors": [ { "true_name": "张慧", "email": "zhanghui@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" }, { "true_name": "张慧", "email": "zhanghui@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" }