利用ZY-3影像、HMADEM、NASADEM等数据源，基于大地测量法生成喀喇昆仑山地区2000-2021年30 m空间分辨率冰量变化数据产品，并通过验证评价。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 分辨率4m 项目获取。\n
ARCTIC DEM分辨率2m 地址：https://www.pgc.umn.edu/data/arcticdem/。\n
NASADEM 分辨率30m 地址：https://www.earthdata.nasa.gov/topics/land-surface/digital-elevation-terrain-model-dem。\n
HMA DEM 分辨率 8m 地址：https://nsidc.org/data/hma_dem8m_mos/versions/1", "ds_process_way": "
1.通过PCI Geomatica 生产ZY-3 DEM，分辨率为4m。\n
2.通过大地测量法配准三期DEM，得到三期冰川高程变化分布，使用RGI V6数据集进行裁剪得到冰川区高程变化。", "ds_quality": "
使用Hugonnet等人(2021)提出了经过验证的工作流程评估DEM中的不确定性，结果表明喀喇昆仑山地区不同区域的不确定性在1.13m以下，结果质量较好，数据可信。
", "ds_acq_start_time": "2000-01-01 00:00:00", "ds_acq_end_time": "2021-12-31 00:00:00", "ds_acq_place": "喀喇昆仑山,喀喇昆仑山", "ds_acq_lon_east": 80.5, "ds_acq_lat_south": 33.480000000000004, "ds_acq_lon_west": 71.0, "ds_acq_lat_north": 37.5, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 2187407093, "ds_files_count": 5, "ds_format": "", "ds_space_res": "30m", "ds_time_res": "年", "ds_coordinate": "WGS84", "ds_projection": "WGS_1984_UTM_Zone_43N", "ds_thumbnail": "8faecfff-35f4-41ad-9d46-e9fd56f297d9.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": "09314967592", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2025-01-10 15:21:38", "last_updated": "2025-01-13 14:34:31", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.GLACIER.DB6724.2025", "i18n": { "en": { "title": "Glacier mass budgets assessment in the Karakoram and Svalbard based on ZY-3 from 2000 to 2021", "ds_format": "", "ds_source": "ZY-3 data resolution 4m project acquisition.\n
ARCTIC DEM resolution 2m address: https://www.pgc.umn.edu/data/arcticdem/.\n
NASA DEM resolution 30m address: https://www.earthdata.nasa.gov/topics/land-surface/digital-elevation-terrain-model-dem.\n
HMA DEM resolution 8m address: https://nsidc.org/data/hma_dem8m_mos/versions/1", "ds_quality": "
The uncertainty in the DEM was assessed using a validated workflow proposed by Hugonnet et al(2021). The results showed that the uncertainty in different areas of the Karakoram region was below 1.13 m, the result quality was good, and the data was credible.
", "ds_ref_way": "", "ds_abstract": "Using ZY-3 images, HMADEM, NASADEM and other data sources, a 30 m spatial resolution ice volume change data product was generated in the Karakoram Mountains from 2000 to 2021 based on geodetic methods, and the data was verified and evaluated. This data can provide basic data support for glacier research in High Asia.
", "ds_time_res": "年", "ds_acq_place": "Karakoram Mountains, Karakoram Mountains", "ds_space_res": "30m", "ds_projection": "", "ds_process_way": "1. Produce ZY-3 DEM with a resolution of 4m through PCI Geomatica. \n
2. Use geodetic method to align the three-phase DEM to obtain the distribution of glacier elevation changes in the three phases, and use RGI V6 dataset to crop to obtain the elevation changes in the glacier area.", "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": [ "冰川物质平衡" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "喀喇昆仑山", "斯瓦尔巴德" ], "ds_time_tags": [ 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021 ], "ds_contributors": [ { "true_name": "郭思阳", "email": "siyang@mail.ynu.edu.cn", "work_for": "云南大学", "country": "中国" }, { "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" } ], "ds_meta_authors": [ { "true_name": "郭思阳", "email": "siyang@mail.ynu.edu.cn", "work_for": "云南大学", "country": "中国" }, { "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" } ], "ds_managers": [ { "true_name": "郭思阳", "email": "siyang@mail.ynu.edu.cn", "work_for": "云南大学", "country": "中国" }, { "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" } ], "category": "冰川" }