{
    "created": "2025-07-16 19:15:05",
    "updated": "2026-04-11 04:13:51",
    "id": "3ee02200-083c-475a-a82b-b26f07fac78d",
    "version": 4,
    "ds_topic": null,
    "title_cn": "“一带一路”积雪初日数据集（2000-2024年）",
    "title_en": "",
    "ds_abstract": "<p>基于多源遥感数据，采用MARS模型结合地类特征的方法进行积雪自动识别，生成了一套一带一路区域的积雪面积数据。借助机器学习在解决非线性拟合问题上的优势，避免传统积雪遥感识别在复杂地表和地形下的误判，本产品在山区及林区的精度较已有MODIS积雪产品显著提高。在该产品基础上计算了积雪初日数据集，积雪初日的定义为一个水文年中第一次出现连续5天是雪的首日对应日期。",
    "ds_source": "<p>MOD09GA 来源于美国地质调查局网站</p>",
    "ds_process_way": "<p>以Landsat-8的FSC影像作为真值数据，并结合CGLS-LC100数据集，提取详细的地类覆盖信息。通过结合地类特征，构建了基于MOD09GA反射率的MARS模型，以实现高效的积雪识别。整个过程包括数据预处理、特征优化、模型训练及验证，最终形成了一套高效的自动识别算法。该算法在积雪面积识别方面表现出快速性和高精度，能够有效应对现有产品面临的挑战。</p>",
    "ds_quality": "",
    "ds_acq_start_time": "2000-01-01 00:00:00",
    "ds_acq_end_time": "2024-12-31 00:00:00",
    "ds_acq_place": "一带一路",
    "ds_acq_lon_east": 180.0,
    "ds_acq_lat_south": 23.0,
    "ds_acq_lon_west": 180.0,
    "ds_acq_lat_north": 63.0,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "login-access",
    "ds_total_size": 2259020969,
    "ds_files_count": 25,
    "ds_format": "HDF",
    "ds_space_res": "500",
    "ds_time_res": "年",
    "ds_coordinate": "WGS84",
    "ds_projection": "WGS_1984_Albers",
    "ds_thumbnail": "3ee02200-083c-475a-a82b-b26f07fac78d.png",
    "ds_thumb_from": 0,
    "ds_ref_way": "",
    "paper_ref_way": "",
    "ds_ref_instruction": "",
    "ds_from_station": null,
    "organization_id": "9de89acc-5714-4927-aba3-ac88067dff8a",
    "ds_serv_man": "李红星",
    "ds_serv_phone": "0931-4967592",
    "ds_serv_mail": "ncdc@lzb.ac.cn",
    "doi_value": "",
    "subject_codes": [],
    "quality_level": 3,
    "publish_time": "2025-11-19 15:32:03",
    "last_updated": "2025-11-19 15:32:03",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.NCDC.NIEER.DB6900.2025",
    "i18n": {
        "en": {
            "title": "",
            "ds_format": "",
            "ds_source": "",
            "ds_quality": "",
            "ds_ref_way": "",
            "ds_abstract": "",
            "ds_time_res": "年",
            "ds_acq_place": "",
            "ds_space_res": "500",
            "ds_projection": "",
            "ds_process_way": "",
            "ds_ref_instruction": ""
        }
    },
    "submit_center_id": "ncdc",
    "data_level": 0,
    "license_type": "CC BY 4.0",
    "ds_topic_tags": [
        "一带一路",
        "积雪范围",
        "积雪面积比例"
    ],
    "ds_subject_tags": [],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "一带一路"
    ],
    "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,
        2022,
        2023,
        2024
    ],
    "ds_contributors": [
        {
            "true_name": "郝晓华",
            "email": "haoxh@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": "赵琴",
            "email": "zhaoqin21@mails.ucas.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": "纪文政",
            "email": "jiwenzheng@nieer.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": "高伟强",
            "email": "weiqiang_97@163.com",
            "work_for": "太钢集团岚县矿业有限公司",
            "country": "中国"
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "赵琴",
            "email": "zhaoqin21@mails.ucas.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": "赵琴",
            "email": "zhaoqin21@mails.ucas.ac.cn",
            "work_for": "中国科学院西北生态环境资源研究院",
            "country": "中国"
        }
    ],
    "category": "积雪"
}