{
    "created": "2020-01-06 10:15:50",
    "updated": "2026-04-21 03:05:17",
    "id": "ef4dc3e6-d6d8-4f26-ab2b-e8ebe9b94a68",
    "version": 3,
    "ds_topic": null,
    "title_cn": "青藏高原逐日无云MODIS积雪面积比例数据集（2000-2015年）",
    "title_en": "Daily Cloud-Free MODIS Snow Cover Fraction Dataset for the Tibetan Plateau (2000-2015)",
    "ds_abstract": "<p>本数据集进行去云处理的原始MODIS积雪数据产品来源于由美国国家雪冰数据中心（NSIDC）处理的MOD10A1产品，这一数据集为hdf格式，采用sinusoidal投影。数据集为逐日文件，从2000年2月24日到2015年12月31日。每个文件为当日的积雪面积比例结果，数值为0-100（%），为ENVI标准文件，命名规则为：YYYYddd_FSC_0.5km.img，其中YYYY代表年，ddd代表儒略日（001-365/366）。文件可直接用ENVI或者ARCMAP等软件打开察看。</p>",
    "ds_source": "<p>数据格式：ENVI标准格式。文件命名规则：“YYYYddd”+“_FSC_0.5km”+“.img”，其中YYYY代表年，ddd代表儒略日（001-365/366），其中“.img”是为了方便在ARCMAP等软件打开察看而添加的文件后缀。例如2000055_FSC_0.5km.img代表2000年第55天的结果。其中该数据集的ENVI文件是由头文件和主体内容构成。头文件包括行数、列数、波段数、文件类型、数据类型、数据记录格式、和投影信息等；以2000055_FSC_0.5km.img 文件为例。</p>",
    "ds_process_way": "<p>青藏高原逐日无云MODIS积雪面积比例数据集（2000-2015年）是在MODIS逐日积雪产品—MOD10A1的基础上，采用一种基于三次样条函数插值的去云算法进行去云处理后得到。进行去云处理的原始MODIS积雪数据产品来源于由美国国家雪冰数据中心（NSIDC）处理的MOD10A1产品，这一数据集为hdf格式，采用sinusoidal投影。</p>",
    "ds_quality": "<p>数据质量良好。</p>",
    "ds_acq_start_time": "2000-01-01 00:00:00",
    "ds_acq_end_time": "2015-01-01 00:00:00",
    "ds_acq_place": "青藏高原",
    "ds_acq_lon_east": 106.25,
    "ds_acq_lat_south": 25.0,
    "ds_acq_lon_west": 72.75,
    "ds_acq_lat_north": 40.86666666666667,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "login-access",
    "ds_total_size": 18703788363,
    "ds_files_count": 22,
    "ds_format": "ASCII",
    "ds_space_res": "500",
    "ds_time_res": "日",
    "ds_coordinate": "WGS84",
    "ds_projection": "UTM",
    "ds_thumbnail": "ef4dc3e6-d6d8-4f26-ab2b-e8ebe9b94a68.png",
    "ds_thumb_from": 0,
    "ds_ref_way": "",
    "paper_ref_way": "",
    "ds_ref_instruction": "None",
    "ds_from_station": null,
    "organization_id": "52b7b79b-860c-49a5-9083-9a70cf8bed5a",
    "ds_serv_man": "敏玉芳",
    "ds_serv_phone": "0931-4967596 ",
    "ds_serv_mail": "ncdc@lzb.ac.cn",
    "doi_value": "",
    "subject_codes": [
        "170.4510"
    ],
    "quality_level": 3,
    "publish_time": "2021-07-05 15:11:28",
    "last_updated": "2025-04-23 09:47:27",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.ncdc.NIEER.2021.1970",
    "i18n": {
        "en": {
            "title": "Daily Cloud-Free MODIS Snow Cover Fraction Dataset for the Tibetan Plateau (2000-2015)",
            "ds_format": "ASCII",
            "ds_source": "<p>Data format: ENVI standard format. File naming rule: “YYYYddd ‘+’_FSC_0.5km ‘+’.img”, where YYYY stands for year and ddd stands for Julian day (“001-365/366”). 001-365/366), of which “.img” is a file suffix added to facilitate the opening of ARCMAP and other software to view. For example, 2000055_FSC_0.5km.img represents the results for day 55 of 2000. The ENVI file for this dataset consists of a header file and a body. The header file includes the number of rows, columns, bands, file type, data type, data record format, and projection information; for example, the file 2000055_FSC_0.5km.img.</p>",
            "ds_quality": "<p>Data quality is good.</p>",
            "ds_ref_way": "",
            "ds_abstract": "<p>The original MODIS snowpack data product for which this dataset was de-clouded was derived from the MOD10A1 product processed by the National Snow and Ice Data Center (NSIDC); this dataset is in hdf format with sinusoidal projection. The dataset is a day-by-day file, from February 24, 2000 to December 31, 2015. Each file is the result of the proportion of snow area on that day, with values from 0-100 (%), and is an ENVI standard file with the naming convention: yyyyddd_FSC_0.5km.img, where yyyy stands for the year and ddd stands for the Julian day (001-365/366). The file can be opened directly by ENVI or ARCMAP software.</p>",
            "ds_time_res": "日",
            "ds_acq_place": "Qinghai-Tibetan plateau",
            "ds_space_res": "500",
            "ds_projection": "UTM",
            "ds_process_way": "<p>The Tibetan Plateau day-by-day cloud-free MODIS snow area ratio dataset (2000-2015) is based on the MODIS day-by-day snow product, MOD10A1, and is de-clouded using a de-clouded algorithm based on cubic spline interpolation. The original MODIS snowpack data product that was de-clouded was derived from the MOD10A1 product processed by the U.S. National Snow and Ice Data Center (NSIDC), and this dataset is in hdf format with sinusoidal projection.</P>",
            "ds_ref_instruction": "None"
        }
    },
    "submit_center_id": "ncdc",
    "data_level": 0,
    "license_type": "CC BY 4.0",
    "doi_reg_from": "reg_local",
    "cstr_reg_from": "reg_local",
    "doi_not_reg_reason": null,
    "cstr_not_reg_reason": null,
    "ds_topic_tags": [
        "MODIS",
        "积雪面积比例",
        "积雪"
    ],
    "ds_subject_tags": [
        "自然地理学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "青藏高原"
    ],
    "ds_time_tags": [
        2000,
        2001,
        2002,
        2003,
        2004,
        2005,
        2006,
        2007,
        2008,
        2009,
        2010,
        2011,
        2012,
        2013,
        2014,
        2015
    ],
    "ds_contributors": [
        {
            "true_name": "唐志光",
            "email": "tangzhg11@lzb.ac.cn",
            "work_for": "湖南科技大学资源环境与安全工程学院",
            "country": "中国"
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "唐志光",
            "email": "tangzhg11@lzb.ac.cn",
            "work_for": "湖南科技大学资源环境与安全工程学院",
            "country": "中国"
        }
    ],
    "ds_managers": [
        {
            "true_name": "唐志光",
            "email": "tangzhg11@lzb.ac.cn",
            "work_for": "湖南科技大学资源环境与安全工程学院",
            "country": "中国"
        }
    ],
    "category": "遥感及产品"
}