{
    "_doc_type_": "metadata",
    "id": "791599d6-8d0b-4dd7-8bb0-a9b35e031a45",
    "title_cn": "三江源区长时序冰川轮廓数据集（1986-2021年）",
    "title_en": "Long time-series glacier profile dataset for the Sanjiangyuan area (1986-2021)",
    "organization": "Zenodo数据管理",
    "ds_abstract": "<p>&emsp;&emsp;基于深度学习的方法由于其优于传统技术的优势而在冰川提取中引起了极大的关注。本研究验证了LandsNet架构在冰川提取中的可行性和有效性，我们应用改进的LandsNet（M-LandsNet）提取了三江源头地区的冰川轮廓。采用波段比法、U-Net、U-Net++、GlacierNet、SaU-Net、U-Net+cSE和LandsNet两种场景进行比较。对两个场景的分析表明，M-LandsNet在1986种方法中具有最好的性能和泛化能力。</p>",
    "ds_source": "<p>&emsp;&emsp;获得可靠的冰川清单是训练深度学习网络的第一步。在这项研究中，SCGI被用作真实的冰川轮廓，并被视为地面真相。</p>",
    "ds_process_way": "<p>&emsp;&emsp;我们利用M-LandsNet和人工调整，在共40个时期进一步提取了三江源头地区的冰川轮廓。</p>",
    "ds_quality": "<p>&emsp;&emsp;数据质量良好</p>",
    "ds_acq_start_time": "1986/01/01 00:00",
    "ds_acq_end_time": "2021/12/31 00:00",
    "ds_acq_lon_east": 89.4,
    "ds_acq_lat_south": 31.5,
    "ds_acq_lon_west": 102.45,
    "ds_acq_lat_north": 37.11666666666667,
    "ds_acq_place": "三江源头地区",
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "在线下载",
    "ds_total_size": 8011385,
    "ds_format": ".shp",
    "ds_space_res": "",
    "ds_time_res": "",
    "ds_coordinate": "无",
    "ds_projection": "WGS84",
    "ds_thumbnail": "791599d6-8d0b-4dd7-8bb0-a9b35e031a45.gif",
    "ds_topic_tags": [
        "冰川轮廓",
        "冰川面积",
        "时空冰川变化"
    ],
    "ds_subject_tags": [
        "地理学"
    ],
    "ds_time_tags": [
        1986,
        1987,
        1988,
        1989,
        1990,
        1991,
        1992,
        1993,
        1994,
        1995,
        1996,
        1997,
        1998,
        1999,
        2000,
        2001,
        2002,
        2003,
        2004,
        2005,
        2006,
        2007,
        2008,
        2009,
        2010,
        2011,
        2012,
        2013,
        2014,
        2015,
        2016,
        2017,
        2018,
        2019,
        2020,
        2021
    ],
    "ds_locus_tags": [
        "三江源头地区"
    ],
    "created": "2023/08/17 11:47",
    "updated": "2025/06/30 08:17",
    "last_updated": "2025/06/30 16:17",
    "ds_category": "冰川",
    "publish_status": 3,
    "contributors": [
        {
            "true_name": "张万昌",
            "mailbox": "zhangwc@radi.ac.cn",
            "work_for": "中国科学院空天信息创新研究院"
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "张万昌",
            "mailbox": "zhangwc@radi.ac.cn",
            "work_for": "中国科学院空天信息创新研究院"
        }
    ],
    "ds_managers": [
        {
            "true_name": "张万昌",
            "mailbox": "zhangwc@radi.ac.cn",
            "work_for": "中国科学院空天信息创新研究院"
        }
    ],
    "publications": [
        {
            "title": "Deep learning-based long time-series glacier contours in the Sanjiangyuan area, 1986-2021",
            "magazine": "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
        }
    ],
    "paper_data_status": 2,
    "ds_projects": [],
    "publish_time": "2023/08/29 09:57",
    "ds_ref_instruction": "",
    "papers_ref": [
        "Chen Longfei, Zhang Wanchang, Yi Yaning, Zhang Zhijie, Chao Shijun. Long Time-Series Glacier Outlines in the Three-Rivers Headwater Region From 1986 to 2021 Based on Deep Learning[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022, 15: 5734-5752. \n            DOI: 10.1109/JSTARS.2022.3189277."
    ],
    "cites": {
        "cstr": "张万昌. 三江源区长时序冰川轮廓数据集（1986-2021年）. 国家冰川冻土沙漠科学数据中心(http://www.ncdc.ac.cn), 2023. https://cstr.cn/CSTR:11738.11.NCDC.ZENODO.DB3941.2023.",
        "doi": "张万昌. 三江源区长时序冰川轮廓数据集（1986-2021年）. 国家冰川冻土沙漠科学数据中心(http://www.ncdc.ac.cn), 2023. https://www.doi.org/10.5281/zenodo.5512064."
    }
}