利用ZY-3影像、Landsat-8 OLI/TIRS、sentinel-2、ASTER GDEM V3等数据源，通过深度学习算法及人工光目视检查获取喀喇昆仑山高精度冰川边界，并赋予形状、地形等属性信息。该数据可为高亚洲地区冰川研究提供基础数据支持。", "ds_source": "
ZY-3 数据融合影像分辨率 2m 项目获取。\n
Landsat-8 OLI/TIRS 分辨率30m 地址：https://earth.esa.int/eogateway/catalog/landsat-8-9-oli-tirs-worldwide-data-products。\n
Sentinel-2 分辨率 10m 地址：https://scihub.copernicus.eu/dhus/#/home。\n
ASTER GDEM V3 分辨率30m 地址：https://www.earthdata.nasa.gov/topics/land-surface/digital-elevation-terrain-model-dem。", "ds_process_way": "
1.通过PCI Geomatica 生产ZY-3 DEM，并计算坡度特征，分辨率为4m；基于gee平台使用Landsat-8 OLI/TIRS 反演地表温度数据，分辨率为30m。\n
2.使用构建的深度学习算法模型U-Net+CBAM，以ZY-3光学影像为主，辅以地形、和温度特征进行冰川边界提取。\n
3.对深度学习提取的原始边界进行人工目视矫正，并赋予如形状特征、地形等属性信息。", "ds_quality": "
基于缓冲区法，本次喀喇昆仑山冰川边界不确定性为±1.71%，表碛边界的不确定性为±3.58%。", "ds_acq_start_time": "2018-07-01 00:00:00", "ds_acq_end_time": "2021-10-31 00:00:00", "ds_acq_place": "喀喇昆仑山", "ds_acq_lon_east": 80.5, "ds_acq_lat_south": 33.5, "ds_acq_lon_west": 73.7, "ds_acq_lat_north": 37.5, "ds_acq_alt_low": 1250.0, "ds_acq_alt_high": 8500.0, "ds_share_type": "login-access", "ds_total_size": 28980612, "ds_files_count": 2, "ds_format": "File Geodatabase", "ds_space_res": "2m", "ds_time_res": "年", "ds_coordinate": "WGS84", "ds_projection": "WGS_1984_UTM_Zone_43N", "ds_thumbnail": "c28b7d28-f4eb-49c0-8fe0-97dbf8b81770.png", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "52b7b79b-860c-49a5-9083-9a70cf8bed5a", "ds_serv_man": "李红星", "ds_serv_phone": "0931-4967592", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2025-10-10 17:16:44", "last_updated": "2025-12-23 11:21:34", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.GLACIER.DB6974.2025", "i18n": { "en": { "title": "High-Resolution Glacier Inventory of the Karakoram", "ds_format": "File Geodatabase", "ds_source": "
ZY-3 fusion imaging resolution 2m project acquisition.\n
Landsat-8 OLI/TIRS resolution 30m address: https://earth.esa.int/eogateway/catalog/landsat-8-9-oli-tirs-worldwide-data-products.\n
Sentinel-2 resolution 10m address: https://scihub.copernicus.eu/dhus/#/home.\n
ASTER GDEM V3 resolution 30m address: https://www.earthdata.nasa.gov/topics/land-surface/digital-elevation-terrain-model-dem.", "ds_quality": "
Based on the buffer zone method, the uncertainty in the glacier boundary of the Karakoram Mountains is ±1.71%, while that of the terminal moraine boundary is ±3.58%.", "ds_ref_way": "", "ds_abstract": "
Utilising data sources including ZY-3 imagery, Landsat-8 OLI/TIRS, Sentinel-2, and ASTER GDEM V3, high-precision glacier boundaries in the Karakoram range were delineated through deep learning algorithms and manual visual inspection. These boundaries were then assigned attributes such as shape and topography. This dataset provides foundational data support for glacier research in the High Asia region.
", "ds_time_res": "年", "ds_acq_place": "", "ds_space_res": "2m", "ds_projection": "", "ds_process_way": "1. Produce ZY-3 DEM using PCI Geomatica and calculate slope characteristics at 4m resolution; derive surface temperature data from Landsat-8 OLI/TIRS using the gee platform at 30m resolution. \n
2. Employ the constructed deep learning algorithm to extract glacier boundaries, primarily utilising ZY-3 optical imagery supplemented by topography and temperature characteristics. \n
3. Manually corrected the raw boundaries extracted by deep learning and assigned attributes such as shape characteristics and topography.", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC BY 4.0", "ds_topic_tags": [ "冰川编目" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "喀喇昆仑" ], "ds_time_tags": [ 2018, 2019, 2020, 2021 ], "ds_contributors": [ { "true_name": "刘时银", "email": "liusy@lzb.ac.cn", "work_for": "云南大学国际河流与生态安全研究院", "country": "中国" }, { "true_name": "杨欣", "email": "xinyang@mail.ynu.edu.cn", "work_for": "云南大学", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "杨欣", "email": "xinyang@mail.ynu.edu.cn", "work_for": "云南大学", "country": "中国" } ], "ds_managers": [ { "true_name": "刘时银", "email": "liusy@lzb.ac.cn", "work_for": "云南大学国际河流与生态安全研究院", "country": "中国" }, { "true_name": "杨欣", "email": "xinyang@mail.ynu.edu.cn", "work_for": "云南大学", "country": "中国" } ], "category": "冰川" }