{
    "created": "2020-01-14 01:06:17",
    "updated": "2026-05-09 21:36:12",
    "id": "255f3468-6ffc-43ec-9e72-1660f3d93670",
    "version": 2,
    "ds_topic": null,
    "title_cn": "黑河生态水文遥感试验：黑河流域中游LAINet观测数据集（2012年6月25日-8月24日）",
    "title_en": "Heihe River eco hydrological remote sensing experiment: lainet observation data set in the middle reaches of Heihe River Basin (June 25-august 24, 2012)",
    "ds_abstract": "<p>&emsp;&emsp;本数据为2012-06-25日至2012-08-24日小满玉米地的LAINet数据集。LAINet数据集包括计算的原始LAI数据、经过5天平均之后的LAI数据以及测量节点的经纬度。所有数据以Excel保存。测量仪器：北京师范大学自制无线传感器网络叶面积指数观测仪。其中5天平均处理后的数据以汇聚节点编号为表单名称，每个表单（sheet）保存是一个汇聚节点下所有子节点的测量数据。原始数据记录了每个节点在所有观测日期内能够计算得到的LAI数值。</p>\n<p>&emsp;&emsp;以上两类数据的每个表单中，各列的含义如下：测量日期，DOY，节点1，节点2，...,节点N。测量方式：LAINet观测系统由三类传感器节点组成，分别是（1）冠层下节点，传感器近水平向上放置，用来测量冠层透过辐射，（2）冠层上节点，传感器近似水平向上放置，用来测量太阳入射总辐射，（3）汇聚节点，用来接收并转发由（1）和（2）两类节点测量到的数据。</p>",
    "ds_source": "<p>&emsp;&emsp;北京师范大学自制无线传感器网络叶面积指数观测仪。其中5天平均处理后的数据以汇聚节点编号为表单名称，每个表单（sheet）保存是一个汇聚节点下所有子节点的测量数据。原始数据记录了每个节点在所有观测日期内能够计算得到的LAI数值。以上两类数据的每个表单中，各列的含义如下：测量日期，DOY，节点1，节点2，...,节点N。</p>",
    "ds_process_way": "<p>&emsp;&emsp;测量方式：LAINet观测系统由三类传感器节点组成，分别是（1）冠层下节点，传感器近水平向上放置，用来测量冠层透过辐射，（2）冠层上节点，传感器近似水平向上放置，用来测量太阳入射总辐射，（3）汇聚节点，用来接收并转发由（1）和（2）两类节点测量到的数据。<p>&emsp;&emsp;数据处理：从传感器接收到原始数据是按照汇聚节点进行接收的，经过预处理之后形成以天为时间单位的原始数据集。仪器对冠层透过率的观测是通过计算一天之内不同太阳高度角下冠层下透过辐射与冠层上的入射总辐射的比值而得到的。叶面积指数是基于多角度透过率数据进行反演计算得到。</p>",
    "ds_quality": "<p>&emsp;&emsp;数据质量良好</p>",
    "ds_acq_start_time": "2012-06-25 00:00:00",
    "ds_acq_end_time": "2012-08-24 00:00:00",
    "ds_acq_place": "黑河流域,中游人工绿洲试验区,大满灌区",
    "ds_acq_lon_east": 100.46000000000001,
    "ds_acq_lat_south": 38.73888888888889,
    "ds_acq_lon_west": 100.28888888888889,
    "ds_acq_lat_north": 38.88,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "login-access",
    "ds_total_size": 223744,
    "ds_files_count": 3,
    "ds_format": "excel,word",
    "ds_space_res": null,
    "ds_time_res": "日",
    "ds_coordinate": "WGS84",
    "ds_projection": "",
    "ds_thumbnail": "255f3468-6ffc-43ec-9e72-1660f3d93670.png",
    "ds_thumb_from": 0,
    "ds_ref_way": "",
    "paper_ref_way": "",
    "ds_ref_instruction": "本数据由“黑河生态水文遥感试验（HiWATER）”产生，用户在使用数据时请在正文中明确声明数据的来源，并在参考文献部分引用本元数据提供的引用方式。",
    "ds_from_station": null,
    "organization_id": "c94b3578-20da-4346-9de9-c702b6ca8983",
    "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": "2021-09-01 11:56:03",
    "last_updated": "2025-06-30 16:35:39",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.ncdc.NIEER.2021.1806",
    "i18n": {
        "en": {
            "title": "Heihe River eco hydrological remote sensing experiment: lainet observation data set in the middle reaches of Heihe River Basin (June 25-august 24, 2012)",
            "ds_format": "excel,word",
            "ds_source": "<p>&emsp;A self-made leaf area index observer for wireless sensor networks in Beijing Normal University.The 5-day average processed data takes the sink node number as the form name, and each sheet stores the measurement data of all child nodes under a sink node. The original data records the Lai value that can be calculated by each node in all observation dates. In each form of the above two types of data, the meaning of each column is as follows: measurement date, do, node 1, node 2,..., node n</ p>",
            "ds_quality": "<p>&emsp; Good data quality</p>",
            "ds_ref_way": "",
            "ds_abstract": "<p> This data is the lainet data set of small full corn field from June 25, 2012 to August 24, 2012. The lainet dataset includes the calculated original Lai data, the Lai data after 5-day average, and the longitude and latitude of the measurement node. All data is saved in Excel. Measuring instrument: Beijing Normal University self-made wireless sensor network leaf area index observer. The 5-day average processed data takes the sink node number as the form name, and each sheet stores the measurement data of all child nodes under a sink node. The original data records the Lai value that can be calculated by each node in all observation dates</p>\n<p>  In each form of the above two types of data, the meaning of each column is as follows: measurement date, do, node 1, node 2,..., node n. Measurement method: lainet observation system consists of three types of sensor nodes, namely (1) sub canopy nodes, where the sensors are placed nearly horizontally upward to measure the transmitted radiation of the canopy, (2) upper canopy nodes, where the sensors are placed approximately horizontally upward to measure the total incident radiation of the sun, (3) sink nodes, It is used to receive and forward the data measured by (1) and (2) nodes</p>",
            "ds_time_res": "日",
            "ds_acq_place": "Heihe River Basin, artificial oasis experimental area in the middle reaches, Daman irrigation area",
            "ds_space_res": "",
            "ds_projection": "",
            "ds_process_way": "<p>&emsp;Measurement method: lainet observation system consists of three types of sensor nodes, namely (1) sub canopy nodes, where the sensors are placed nearly horizontally upward to measure the transmitted radiation of the canopy, (2) upper canopy nodes, where the sensors are placed approximately horizontally upward to measure the total incident radiation of the sun, (3) sink nodes, It is used to receive and forward the data measured by (1) and (2) nodes<p>&emsp;Data processing: the original data received from the sensor is received according to the sink node. After preprocessing, the original data set in days is formed. The observation of canopy transmittance by the instrument is obtained by calculating the ratio of transmitted radiation under the canopy to total incident radiation on the canopy at different solar altitude angles in a day. The leaf area index is obtained by inversion based on multi angle transmittance data</p>",
            "ds_ref_instruction": "This data is generated by \"Heihe eco hydrological remote sensing experiment (hiwater)\". When using the data, users should clearly state the source of the data in the text and quote the reference method provided by this metadata in the reference part."
        }
    },
    "submit_center_id": "ncdc",
    "data_level": 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": [
        "LAI",
        "生态水文无线传感器网络",
        "多角度间隙率"
    ],
    "ds_subject_tags": [
        "自然地理学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "大满灌区",
        "中游人工绿洲试验区",
        "黑河流域"
    ],
    "ds_time_tags": [
        2012
    ],
    "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": "马明国",
            "email": "mmg@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": "屈永华",
            "email": "qyh@bnu.edu.cn",
            "work_for": "北京师范大学",
            "country": "中国"
        }
    ],
    "ds_managers": [
        {
            "true_name": "马明国",
            "email": "mmg@lzb.ac.cn",
            "work_for": "中国科学院西北生态环境资源研究院",
            "country": "中国"
        },
        {
            "true_name": "屈永华",
            "email": "qyh@bnu.edu.cn",
            "work_for": "北京师范大学",
            "country": "中国"
        }
    ],
    "category": "遥感及产品"
}