{
    "created": "2026-07-06 18:24:04",
    "updated": "2026-07-07 12:26:13",
    "id": "b1d9632c-53ca-4cd4-96d4-cf493e0f3dab",
    "version": 2,
    "ds_topic": null,
    "title_cn": "黑河流域地表过程综合观测网（大满超级站叶面积指数-2025）",
    "title_en": "Dataset of Heihe integrated observatory network (Leaf area index of Daman Superstation, 2025)",
    "ds_abstract": "<p>&emsp;&emsp;该数据集包含了2025年6月30日至2025年9月23日的黑河水文气象观测网中游大满超级站叶面积指数观测数据。站点(100.376° E, 38.853° N)位于甘肃省张掖市大满灌区内，海拔1556m，下垫面是玉米。观测样方共计3个，每个样方大小约30m×30m，经纬度分别为(100.374°E, 38.855°N)、(100.371° E, 38.854°N)、(100.369°E, 38.854°N)。每个样方内布设4个冠层下节点和1个冠层上节点。</p>\n<p>&emsp;&emsp;本数据集由叶面积指数无线传感网（LAINet）获取，该仪器原始观测数据为仪器自动获取的每个节点逐日逐小时的光照数据（Level0），利用LAINet软件对原始观测数据进行处理，逐节点计算每天LAI（Level1），进一步对无效值识别与填充，并5天滑动平均消除天气变化对LAI计算的影响（Level2），对有多个LAINet节点的观测子区，节点的均值为该子区的最终观测值（Level3）。</p>\n<p>&emsp;&emsp;本次发布的数据集为处理后的Level3产品，数据以*.xls格式存储。</p>\n<p>&emsp;&emsp;黑河流域地表过程综合观测网或站点信息请参考Liu et al. (2018)，观测数据处理请参考Qu et al. (2014)。</p>",
    "ds_source": "<p>&emsp;&emsp;黑河流域地表过程综合观测网中游大满超级站</p>",
    "ds_process_way": "",
    "ds_quality": "",
    "ds_acq_start_time": "2025-06-30 00:00:00",
    "ds_acq_end_time": "2025-09-23 00:00:00",
    "ds_acq_place": "黑河流域地表过程综合观测网中游大满超级站",
    "ds_acq_lon_east": 100.39,
    "ds_acq_lat_south": 38.84,
    "ds_acq_lon_west": 100.36,
    "ds_acq_lat_north": 38.87,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "apply-access",
    "ds_total_size": 10362,
    "ds_files_count": 0,
    "ds_format": "*.xlsx",
    "ds_space_res": "",
    "ds_time_res": "日",
    "ds_coordinate": "无",
    "ds_projection": "",
    "ds_thumbnail": "b1d9632c-53ca-4cd4-96d4-cf493e0f3dab.jpg",
    "ds_thumb_from": 2,
    "ds_ref_way": "",
    "paper_ref_way": "",
    "ds_ref_instruction": "",
    "ds_from_station": "",
    "organization_id": "7314e349-6d56-45d3-93c1-5068a74cdfde",
    "ds_serv_man": "",
    "ds_serv_phone": "",
    "ds_serv_mail": "",
    "doi_value": "10.12072/ncdc.heihe.db7604.2026",
    "subject_codes": [
        "170.15",
        "170.45",
        "170.55"
    ],
    "quality_level": 0,
    "publish_time": "2026-07-07 19:03:54",
    "last_updated": "2026-07-07 19:03:54",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.ncdc.heihe.db7604.2026",
    "i18n": {
        "en": {
            "title": "Dataset of Heihe integrated observatory network (Leaf area index of Daman Superstation, 2025)",
            "ds_format": "*.xlsx",
            "ds_source": "Daman Superstation in the midstream of the Heihe integrated observatory network",
            "ds_quality": "",
            "ds_ref_way": "",
            "ds_abstract": "<p>&emsp;&emsp;This dataset contains the LAI measurements from the Daman superstation in the middle reaches of the Heihe integrated observatory network from June 30 to September 23 in 2025. The site (100.376° E, 38.853°N) was located in the maize surface, near Zhangye city in Gansu Province. The elevation is 1556 m. There are 3 observation samples, each of which is about 30m×30m in size, and the latitude and longitude are (100.374°E, 38.855°N), (100.371° E, 38.854°N), (100.369°E, 38.854°N). Four sub-canopy nodes and one above-canopy node are arranged in each sample. \r\n<p>&emsp;&emsp;The data is obtained from LAINet measurements; the four-steps are performed to obtain LAI: the raw data is light quantum (level 0); the daily LAI can be obtained using the software LAInet (level 1); further the invalid and null values are screened and using the 5 days moving averaged method to obtain the processed LAI (level 2); for the multi LAINet nodes observation, the averaged LAI of the nodes area is the final LAI (level 3).\r\n<p>&emsp;&emsp;The released data are the post processed LAI products and stored using *.xls format.\r\n<p>&emsp;&emsp;For more information, please refer to Liu et al. (2018) (for sites information), Qu et al. (2014) for data processing) in the Citation section.",
            "ds_time_res": "",
            "ds_acq_place": "Daman Superstation in the midstream of the Heihe integrated observatory network",
            "ds_space_res": "",
            "ds_projection": "",
            "ds_process_way": "",
            "ds_ref_instruction": ""
        }
    },
    "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,
    "belong_to_nieer": false,
    "ds_topic_tags": [
        "黑河流域地表过程综合观测网",
        "叶面积指数"
    ],
    "ds_subject_tags": [
        "大气科学",
        "地理学",
        "水文学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "黑河流域",
        "中游人工绿洲试验区",
        "大满超级站"
    ],
    "ds_time_tags": [
        2025
    ],
    "ds_contributors": [
        {
            "true_name": "屈永华",
            "email": "qyh@bnu.edu.cn",
            "work_for": "北京师范大学",
            "country": "中国"
        },
        {
            "true_name": "刘绍民",
            "email": "smliu@bnu.edu.cn",
            "work_for": "北京师范大学",
            "country": "中国"
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "屈永华",
            "email": "qyh@bnu.edu.cn",
            "work_for": "北京师范大学",
            "country": "中国"
        },
        {
            "true_name": "刘绍民",
            "email": "smliu@bnu.edu.cn",
            "work_for": "北京师范大学",
            "country": "中国"
        }
    ],
    "ds_managers": [
        {
            "true_name": "徐自为",
            "email": "xuzw@bnu.edu.cn",
            "work_for": "北京师范大学地理学与遥感科学学院",
            "country": "中国"
        }
    ],
    "category": "其他"
}