{
    "created": "2018-04-20 09:27:44",
    "updated": "2026-05-23 20:13:23",
    "id": "50d8199f-a96f-4b75-a83f-13ac7f559e70",
    "version": 3,
    "ds_topic": null,
    "title_cn": "青藏高原积雪覆盖数据集——多源融合算法（2008-2010）",
    "title_en": "Multi-source Fusion Algorithm of Snow cover Dataset of the Tibetan Plateau (2008-2010)",
    "ds_abstract": "<p>本数据集是利用MODIS数据为基础，改进地形影响的NDSI比值算法获取积雪面积，并进行时空数据插值，最后与AMSR-E微波雪深产品进行多源数据融合而得到。</p>\n\n<p>该数据集采用经纬度（Geographic）投影方式，大地基准面为WGS84，空间分辨率0.005°，提供2008-2010年逐日的青藏高原无云覆盖积雪面积图。数据集按年份存放，共由3个文件夹组成，从2008到2010。每个文件夹里包含当年的逐日积雪覆盖分类结果，为tif文件，命名规则为：YYYY<strong><em>.tif，其中YYYY代表年（2008-2010），</em></strong>代表日（001~365/366）。可直接用ARCGIS或者ENVI打开。</p>",
    "ds_source": "<p>MODIS数据、AMSR-E微波雪深产品</p>",
    "ds_process_way": "<p>本数据集是利用MODIS数据为基础，改进地形影响的NDSI比值算法获取积雪面积，并进行时空数据插值，最后与AMSR-E微波雪深产品进行多源数据融合而得到。</p>",
    "ds_quality": "<p>数据集通过严格的人工审核控制质量</p>",
    "ds_acq_start_time": null,
    "ds_acq_end_time": null,
    "ds_acq_place": "青藏高原",
    "ds_acq_lon_east": 103.0,
    "ds_acq_lat_south": 28.0,
    "ds_acq_lon_west": 75.0,
    "ds_acq_lat_north": 37.0,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "login-access",
    "ds_total_size": 471459825,
    "ds_files_count": 3,
    "ds_format": "矢量",
    "ds_space_res": "500.0m",
    "ds_time_res": "",
    "ds_coordinate": "WGS84",
    "ds_projection": "Geographic",
    "ds_thumbnail": "50d8199f-a96f-4b75-a83f-13ac7f559e70.png",
    "ds_thumb_from": 0,
    "ds_ref_way": "",
    "paper_ref_way": "",
    "ds_ref_instruction": "为尊重知识产权、保障数据作者的权益、扩展数据中心的服务、评估数据的应用潜力，请数据使用者在使用数据所产生的研究成果中（包括公开发表的论文、论著、数据产品和未公开发表的研究报告、数据产品等成果），明确注明数据来源和数据作者。对于转载（二次或多次发布）的数据，作者还须注明原始数据来源。 中文发表的成果参考以下规范注明： 数据来源于国家自然科学基金委员会\"中国西部环境与生态科学数据中心\"(http://westdc.westgis.ac.cn) 英文发表的成果依据以下规范注明： The data set is provided by Environmental and Ecological Science Data Center forWest China,National Natural Science Foundation of China (http://westdc.westgis.ac.cn)",
    "ds_from_station": null,
    "organization_id": "9c4867b1-5cb1-4de0-abeb-df42547bf41e",
    "ds_serv_man": "李红星",
    "ds_serv_phone": "0931-4967287",
    "ds_serv_mail": "westdc@lzb.ac.cn",
    "doi_value": "",
    "subject_codes": [
        "170.4510"
    ],
    "quality_level": 3,
    "publish_time": "2020-03-26 11:00:12",
    "last_updated": "2023-08-23 16:46:35",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.ncdc.Westdc.2020.308",
    "i18n": {
        "en": {
            "title": "Multi-source Fusion Algorithm of Snow cover Dataset of the Tibetan Plateau (2008-2010)",
            "ds_format": "Vector",
            "ds_source": "<p>MODIS data, AMSR-E microwave snow depth products</p>",
            "ds_quality": "<p>Data set quality control through strict manual audit</p>",
            "ds_ref_way": "",
            "ds_abstract": "<p>This dataset is based on MODIS data, improved NDSI ratio algorithm for terrain influence to obtain snow cover area, spatiotemporal data interpolation, and finally multi-source data fusion with AMSR-E microwave snow depth products</p>\n<p>This dataset adopts a longitude and latitude (Geographic) projection method, with a geodetic reference plane of WGS84 and a spatial resolution of 0.005 °. It provides a daily map of the cloudless snow cover area of the Qinghai Tibet Plateau from 2008 to 2010. The dataset is stored by year and consists of three folders, from 2008 to 2010. Each folder contains the daily snow cover classification results of the current year, which is a tif file. The Naming convention is YYYY<strong><em>. tif, where YYYY represents the year (2008-2010) and</em></strong>represents the day (001~365/366). It can be opened directly using ARCGIS or ENVI</p>",
            "ds_time_res": "",
            "ds_acq_place": "Qinghai Tibet Plateau",
            "ds_space_res": "500.0m",
            "ds_projection": "Geographic",
            "ds_process_way": "<p>This data set is based on MODIS data, improved NDSI ratio algorithm of terrain impact to obtain snow area, and interpolation of spatiotemporal data. Finally, it is obtained by multi-source data fusion with AMSR-E microwave snow depth products. </p>",
            "ds_ref_instruction": "To respect intellectual property rights, protect the rights and interests of data authors, expand the services of data centers, and evaluate the application potential of data, data users are requested to clearly indicate the data source and data author in the research results generated from the use of data (including publicly published papers, works, data products, and unpublished research reports, data products, etc.). For data reprinted (for secondary or multiple releases), the author must also indicate the source of the original data. The results published in Chinese refer to the following specifications: The data is sourced from the \"Western China Environmental and Ecological Science Data Center\" of the National Natural Science Foundation of China（ http://westdc.westgis.ac.cn ）The data set is provided by Environmental and Ecological Science Data Center for West China, National Natural Science Foundation of China（ http://westdc.westgis.ac.cn )"
        }
    },
    "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,
    "ds_topic_tags": [
        "积雪"
    ],
    "ds_subject_tags": [
        "自然地理学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "青藏高原"
    ],
    "ds_time_tags": [
        2008,
        2009,
        2010
    ],
    "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"
        }
    ],
    "ds_meta_authors": [
        {
            "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"
        }
    ],
    "ds_managers": [
        {
            "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"
        }
    ],
    "category": "遥感及产品"
}