{
    "created": "2025-11-21 17:14:18",
    "updated": "2026-04-12 02:50:03",
    "id": "8d3fa175-e7ae-4dab-99ef-6249e36a3922",
    "version": 7,
    "ds_topic": null,
    "title_cn": "格陵兰岛出口冰川的冰川前缘位置（2002–2021年）：用于算法验证的空间扩展季节性记录与基准数据集",
    "title_en": "Calving front positions for Greenland outlet glaciers (2002–2021): a spatially extensive seasonal record and benchmark dataset for algorithm validation",
    "ds_abstract": "<p>&emsp;&emsp;格陵兰冰川崩解前沿位置的变化反映了冰川前进与后退的幅度及趋势，对理解冰盖动力学至关重要。本数据集提供了覆盖格陵兰全域、空间范围广阔且具有季节分辨率的冰川崩解前沿位置记录。包含 2002-2021 年期间外流冰川的约 1.2 万个人工勾绘崩解前沿位置数据。这些划定数据源自多源卫星影像，包括Landsat 5/7/8、Sentinel-1/2、MODIS、ENVISAT ASAR及ERS SAR。</p>\n<p>&emsp;&emsp;所有崩解前沿位置均通过GEEDiT（谷歌地球引擎数字图像处理工具）和ArcGIS（地理信息系统软件）采用标准化工作流程进行人工数字化，并附带详细元数据。为评估定位精度，本数据集与高分辨率PlanetScope影像及基准数据集进行比对，结果显示：受影像质量与冰川前沿复杂程度影响，位置偏差约为 40-100 米。</p>\n<p>&emsp;&emsp;该数据集为研究冰川动力学、优化冰盖模型边界条件、开发与验证自动冰川前沿追踪算法提供了空间一致的高质量基准数据。",
    "ds_source": "<p>&emsp;&emsp;数据来源于Landsat 5/7/8、Sentinel-1/2、MODIS、ENVISAT ASAR及ERS SAR。",
    "ds_process_way": "<p>&emsp;&emsp;所有崩解前沿位置均通过GEEDiT（谷歌地球引擎数字图像处理工具）和ArcGIS（地理信息系统软件）采用标准化工作流程进行人工数字化。",
    "ds_quality": "<p>&emsp;&emsp;数据质量良好。",
    "ds_acq_start_time": "2002-01-01 00:00:00",
    "ds_acq_end_time": "2021-12-31 00:00:00",
    "ds_acq_place": "格陵兰",
    "ds_acq_lon_east": null,
    "ds_acq_lat_south": null,
    "ds_acq_lon_west": null,
    "ds_acq_lat_north": null,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "login-access",
    "ds_total_size": 18964480,
    "ds_files_count": 2,
    "ds_format": "GeoPackage",
    "ds_space_res": "",
    "ds_time_res": "年",
    "ds_coordinate": "无",
    "ds_projection": "",
    "ds_thumbnail": "8d3fa175-e7ae-4dab-99ef-6249e36a3922.jpg",
    "ds_thumb_from": 2,
    "ds_ref_way": "",
    "paper_ref_way": "",
    "ds_ref_instruction": "",
    "ds_from_station": null,
    "organization_id": "0a4269e1-65f4-45f1-aeba-88ea3068eebf",
    "ds_serv_man": "李红星",
    "ds_serv_phone": "0931-4967592",
    "ds_serv_mail": "ncdc@lzb.ac.cn",
    "doi_value": "",
    "subject_codes": [
        "170.45",
        "170.55"
    ],
    "quality_level": 3,
    "publish_time": "2025-11-27 15:50:46",
    "last_updated": "2026-01-14 11:10:29",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.NCDC.ZENODO.DB7024.2025",
    "i18n": {
        "en": {
            "title": "Calving front positions for Greenland outlet glaciers (2002–2021): a spatially extensive seasonal record and benchmark dataset for algorithm validation",
            "ds_format": "",
            "ds_source": "<p>&emsp;The data is sourced from Landsat 5/7/8, Sentinel-1/2, MODIS, ENVISAT ASAR, and ERS SAR.",
            "ds_quality": "<p>&emsp;The data quality is good.",
            "ds_ref_way": "",
            "ds_abstract": "<p> The changes in the position of the front of Greenland glacier collapse reflect the magnitude and trend of glacier advance and retreat, which is crucial for understanding ice sheet dynamics. This dataset provides location records of glacier collapse frontiers covering the entire Greenland region, with a wide spatial range and seasonal resolution. Contains approximately 12000 manually mapped collapse front location data of outflow glaciers from 2002 to 2021. These designated data are sourced from multiple satellite imagery sources, including Landsat 5/7/8, Sentinel-1/2, MODIS, ENVISAT ASAR, and ERS SAR. </p>\n<p> All disintegration frontier locations were manually digitized using standardized workflows using GEEDiT (Google Earth Engine digital image processing tool) and ArcGIS (geographic information system software), with detailed metadata attached. To evaluate the positioning accuracy, this dataset was compared with high-resolution PlanetScope images and benchmark datasets. The results showed that due to the influence of image quality and glacier front complexity, the position deviation was about 40-100 meters. </p>\n<p> This dataset provides spatially consistent high-quality benchmark data for studying glacier dynamics, optimizing ice sheet model boundary conditions, and developing and validating automatic glacier front tracking algorithms.</p>",
            "ds_time_res": "年",
            "ds_acq_place": "Greenland",
            "ds_space_res": "",
            "ds_projection": "",
            "ds_process_way": "<p>&emsp;All disintegration frontier locations were manually digitized using standardized workflows using GEEDiT (Google Earth Engine digital image processing tool) and ArcGIS (geographic information system software).",
            "ds_ref_instruction": ""
        }
    },
    "submit_center_id": "ncdc",
    "data_level": 0,
    "license_type": "CC BY 4.0",
    "ds_topic_tags": [
        "格陵兰",
        "冰崩",
        "冰川"
    ],
    "ds_subject_tags": [
        "地理学",
        "水文学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "格陵兰"
    ],
    "ds_time_tags": [
        2002,
        2003,
        2004,
        2005,
        2006,
        2007,
        2008,
        2009,
        2010,
        2011,
        2012,
        2013,
        2014,
        2015,
        2016,
        2017,
        2018,
        2019,
        2020,
        2021
    ],
    "ds_contributors": [
        {
            "true_name": "江利明",
            "email": "jlm@whigg.ac.cn",
            "work_for": "中国科学院精密测量科学与技术创新研究院",
            "country": "中国"
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "江利明",
            "email": "jlm@whigg.ac.cn",
            "work_for": "中国科学院精密测量科学与技术创新研究院",
            "country": "中国"
        }
    ],
    "ds_managers": [
        {
            "true_name": "江利明",
            "email": "jlm@whigg.ac.cn",
            "work_for": "中国科学院精密测量科学与技术创新研究院",
            "country": "中国"
        }
    ],
    "category": "冰川"
}