{
    "created": "2019-12-04 08:38:33",
    "updated": "2026-04-16 11:41:39",
    "id": "82492438-5f59-40e4-bdc3-f4159b96076b",
    "version": 2,
    "ds_topic": null,
    "title_cn": "青藏高原土壤水分及雪水当量的参数反演研究项目的汇交数据",
    "title_en": "Confluence data of soil moisture and snow water equivalent in the Qinghai Tibet Plateau",
    "ds_abstract": "<p>该数据集是利用MODIS获取的影像数据，结合ASTER影像数据，在青藏高原进行亚像元级的雪盖面积分类和变化分析研究。</p>",
    "ds_source": "<p>青藏高原近20年土壤水分及雪水当量的参数反演研究项目属于国家自然科学基金“中国西部环境与生态科学”重大研究计划，负责人为中国科学院遥感应用研究所施建成研究员，项目运行时间为2004.1-2007.12。</p>",
    "ds_process_way": "<p>主要研究内容是研究亚像元雪盖面积分类算法，包括利用归一化积雪指数进行统计回归方法和混合像元分解方法。在进行混合像元分解中，采用线性混合模型，并提出利用归一化积雪指数和归一化植被指数进行雪端元和非雪端元的自动提取； 在亚像元雪盖面积分类算法的基础上，进行青藏高原雪盖面积变化分析，通过建立决策树的方法，进行云和雪的检测和去云处理，并利用时间序列影像，进行合成和镶嵌，构成青藏高原的亚像元雪盖面积分类数据库， 对青藏高原雪盖面积的空间分布和变化特征进行分析和描述。</p>",
    "ds_quality": "<p>数据质量完整</p>",
    "ds_acq_start_time": "2001-01-18 00:00:00",
    "ds_acq_end_time": "2007-12-11 00:00:00",
    "ds_acq_place": "黄土高原",
    "ds_acq_lon_east": 100.41666666666667,
    "ds_acq_lat_south": 33.86666666666667,
    "ds_acq_lon_west": 114.41666666666667,
    "ds_acq_lat_north": 41.205555555555556,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "apply-access",
    "ds_total_size": 760344736,
    "ds_files_count": 3,
    "ds_format": "二进制",
    "ds_space_res": null,
    "ds_time_res": "日",
    "ds_coordinate": "WGS84",
    "ds_projection": "",
    "ds_thumbnail": "82492438-5f59-40e4-bdc3-f4159b96076b.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": "09314967597",
    "ds_serv_mail": "ncdc@lzb.ac.cn",
    "doi_value": "",
    "subject_codes": [],
    "quality_level": 3,
    "publish_time": "2020-10-14 11:29:23",
    "last_updated": "2024-01-29 10:17:45",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.ncdc.nieer.2020.1524",
    "i18n": {
        "en": {
            "title": "Confluence data of soil moisture and snow water equivalent in the Qinghai Tibet Plateau",
            "ds_format": "",
            "ds_source": "<p>The research project of parameter inversion of soil moisture and snow water equivalent in Qinghai Tibet Plateau in recent 20 years belongs to the major research program of \"environmental and Ecological Science in Western China\" of National Natural Science Foundation of China. The principal of the project is Shijian researcher of Institute of remote sensing application of Chinese Academy of Sciences. The project runs from January 2004 to December 2007. </p>",
            "ds_quality": "<p>Data quality integrity</p>",
            "ds_ref_way": "",
            "ds_abstract": "<p>The data set is based on the MODIS Image data and ASTER image data to study the sub-pixel snow cover area classification and change analysis in the Tibetan Plateau. </p>",
            "ds_time_res": "日",
            "ds_acq_place": "The Loess Plateau",
            "ds_space_res": "",
            "ds_projection": "",
            "ds_process_way": "<p>The main research content is to study sub-pixel snow cover area classification algorithm, including statistical regression method using normalized snow index and mixed pixel decomposition method. In the decomposition of mixed pixels, the linear mixed model is used, and the normalized snow index and normalized vegetation index are used to extract snow endmember and non snow endmember automatically; Based on the classification algorithm of sub-pixel snow cover area, this paper analyzes the change of snow cover area on the Qinghai Tibet Plateau. By establishing decision tree method, cloud and snow detection and cloud removal processing are carried out, and time series images are used to synthesize and embed to form the sub-pixel snow cover area classification database of the Qinghai Tibet Plateau, The spatial distribution and variation characteristics of snow cover area in Qinghai Tibet Plateau are analyzed and described. </p>",
            "ds_ref_instruction": ""
        }
    },
    "submit_center_id": "ncdc",
    "data_level": 0,
    "license_type": "CC BY 4.0",
    "ds_topic_tags": [
        "黄土高原",
        "雪盖",
        "土壤水分"
    ],
    "ds_subject_tags": [],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "黄土高原"
    ],
    "ds_time_tags": [
        2001,
        2002,
        2003,
        2004,
        2005
    ],
    "ds_contributors": [
        {
            "true_name": "施建成",
            "email": "shijc@radi.ac.cn",
            "work_for": "中国科学院遥感应用研究所\t",
            "country": "中国"
        },
        {
            "true_name": "许丽娜",
            "email": "xulina@cug.edu.cn",
            "work_for": "中科院遥感应用研究所",
            "country": "中国"
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "施建成",
            "email": "shijc@radi.ac.cn",
            "work_for": "中国科学院遥感应用研究所\t",
            "country": "中国"
        },
        {
            "true_name": "许丽娜",
            "email": "xulina@cug.edu.cn",
            "work_for": "中科院遥感应用研究所",
            "country": "中国"
        }
    ],
    "ds_managers": [
        {
            "true_name": "施建成",
            "email": "shijc@radi.ac.cn",
            "work_for": "中国科学院遥感应用研究所\t",
            "country": "中国"
        },
        {
            "true_name": "许丽娜",
            "email": "xulina@cug.edu.cn",
            "work_for": "中科院遥感应用研究所",
            "country": "中国"
        }
    ],
    "category": "遥感及产品"
}