{
    "created": "2019-10-10 09:37:17",
    "updated": "2026-04-29 01:42:06",
    "id": "8de6234a-4393-4209-b863-1a7063411484",
    "version": null,
    "ds_topic": "c6f9fed5-f7bf-4502-a904-d99914875270",
    "title_cn": "1979-2010年帕米尔-天山地区500米积雪遥感综合产品数据集",
    "title_en": "Remote sensing comprehensive product dataset for 500 meter snow cover in the Pamir Tianshan region from 1979 to 2010",
    "ds_abstract": "<p>此数据反映帕米尔-天山地区多年积雪分布属性。本数据集包含115份NETCDF格式数据：分别为2000年至2011年积雪面积比例产品数据、1979年至2011年微波雪水当量遥感产品数据，1979年至2013年融雪空间分布模拟产品数据与1979年至2013年积雪表面反照率数据。</p>",
    "ds_source": "<ol>\n<li>2001-2012年Terra卫星的逐日MOD10A1产品。</li>\n<li>美国国家雪冰数据中心（NSIDC）处理的SMMR（1978-1987年)，SSM/I（1987-2008年)和AMSR-E(2002-2012)逐日被动微波亮温数据。</li>\n<li>GLDAS陆面同化系统CLM、MOSAIC与NOAH陆面过程模型模拟数据</li>\n</ol>",
    "ds_process_way": "<ol>\n<li>在MODIS逐日积雪产品—MOD10A1的基础上，采用基于三次样条函数插值的去云算法进行去云处理以及区域裁剪后得到新的帕米尔-天山地区积雪面积比例产品。</li>\n<li>通过对不同传感器的亮温进行交叉定标提高亮温数据在时间上的一致性。然后利用Chang算法针对中国地区进行修正的算法进行雪深反演。采用亮温梯度法并考虑积雪特性在时间上的变化从SSM/I（S）和AMSR-E亮度温度数据中提取每日雪深，并得到最大雪深分布情况。</li>\n<li>提取研究区GLDAS陆面同化系统中CLM、MOSAIC与NOAH三个陆面过程模型的融雪和反照率模拟结果，采用三次样条函数插值方法进行重采样。</li>\n</ol>",
    "ds_quality": "<p>1.积雪面积比例产品：时间分辨率，逐日；空间分辨率， 0.01 度。 2. 微波雪水当遥感量产品：时间分辨率，逐日；空间分辨率，0.25 度。 3. 陆面反照率产品：时间分辨率，逐月；空间分辨率， 1 度。 4. 融雪空间分布产品：时间分辨率，逐月；空间分辨率， 1 度。 以上各项数据时间序列连续，空间范围完整，检查无坏值。</p>",
    "ds_acq_start_time": "1979-01-01 00:00:00",
    "ds_acq_end_time": "2013-12-31 00:00:00",
    "ds_acq_place": "帕米尔-天山山脉",
    "ds_acq_lon_east": 91.76666666666667,
    "ds_acq_lat_south": 35.5,
    "ds_acq_lon_west": 65.76666666666667,
    "ds_acq_lat_north": 46.0,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "apply-access",
    "ds_total_size": 23264185437,
    "ds_files_count": 6,
    "ds_format": "栅格",
    "ds_space_res": null,
    "ds_time_res": "日，月",
    "ds_coordinate": "WGS84",
    "ds_projection": "",
    "ds_thumbnail": "8de6234a-4393-4209-b863-1a7063411484.jpg",
    "ds_thumb_from": 0,
    "ds_ref_way": "",
    "paper_ref_way": null,
    "ds_ref_instruction": null,
    "ds_from_station": null,
    "organization_id": "52b7b79b-860c-49a5-9083-9a70cf8bed5a",
    "ds_serv_man": "李锦",
    "ds_serv_phone": "09917827369",
    "ds_serv_mail": "lijin@ms.xjb.ac.cn",
    "doi_value": "",
    "subject_codes": null,
    "quality_level": 0,
    "publish_time": "2021-09-15 09:20:30",
    "last_updated": "2023-08-23 17:03:16",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.NCDC.NIEER.2021.1973",
    "i18n": {
        "en": {
            "title": "Comprehensive remote sensing product dataset of 500 meter snow cover in Pamir Tianshan region from 1979 to 2010",
            "ds_format": "grid",
            "ds_source": "<ol>",
            "ds_quality": "<p>1. Snow area ratio product: time resolution, daily; Spatial resolution, 0.01 degrees. 2. Microwave snow and water as remote sensing products: time resolution, daily; Spatial resolution, 0.25 degrees. 3. Land albedo products: time resolution, monthly; Spatial resolution, 1 degree. 4. Snowmelt spatial distribution products: time resolution, monthly; Spatial resolution, 1 degree. The time series of the above data is continuous, the spatial range is complete, and there are no bad values checked</ p>",
            "ds_ref_way": "",
            "ds_abstract": "<p>This data reflects the distribution attributes of snow cover in the Pamir Tianshan region over the years. This dataset contains 115 pieces of NETCDF format data, including snow cover area ratio product data from 2000 to 2011, microwave snow water equivalent remote sensing product data from 1979 to 2011, simulated snow melting spatial distribution product data from 1979 to 2013, and snow surface albedo data from 1979 to 2013</ p>",
            "ds_time_res": "Day, month",
            "ds_acq_place": "Pamir Tianshan Mountains",
            "ds_space_res": "",
            "ds_projection": "",
            "ds_process_way": "<ol>",
            "ds_ref_instruction": ""
        }
    },
    "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,
    "is_paper_in_submitting": false,
    "ds_topic_tags": [
        "遥感反演产品\\MODIS",
        "帕米尔天山",
        "遥感",
        "积雪"
    ],
    "ds_subject_tags": [
        "自然地理学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "帕米尔高原",
        "天山"
    ],
    "ds_time_tags": [
        1979,
        2000,
        2010
    ],
    "ds_contributors": [
        {
            "true_name": "方晖",
            "email": "fanghui@ms.xjb.ac.cn",
            "work_for": "新疆生态与地理研究所",
            "country": "中国"
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "方晖",
            "email": "fanghui@ms.xjb.ac.cn",
            "work_for": "新疆生态与地理研究所",
            "country": "中国"
        }
    ],
    "ds_managers": [
        {
            "true_name": "方晖",
            "email": "fanghui@ms.xjb.ac.cn",
            "work_for": "新疆生态与地理研究所",
            "country": "中国"
        }
    ],
    "category": "遥感及产品"
}