{
    "created": "2020-02-12 03:58:28",
    "updated": "2026-05-07 02:25:01",
    "id": "9ec25b2f-eb02-4ce0-9046-7d472c5dfe99",
    "version": null,
    "ds_topic": null,
    "title_cn": "黑河生态水文遥感试验：黑河下游LAI 2200观测LAI数据集（2014年）",
    "title_en": "Heihe River eco hydrological remote sensing experiment: Lai 2200 observation data set in the lower reaches of Heihe River (2014)",
    "ds_abstract": "<p>&emsp;&emsp;下游航空遥感试验期间，开展了下游典型植被下垫面LAI观测，观测自2014年7月22日开始，8月1日结束。\n</p>\n<p>&emsp;&emsp;1、  观测时间\n</p>\n<p>&emsp;&emsp;2014年7月22日，27日，30日，31日，8月1日\n</p>\n<p>&emsp;&emsp;2、  样方选择及观测方式\n</p>\n<p>&emsp;&emsp;结合下游植被分布特征，选择大面积分布（大于100 m100 m）且均一的植被作为观测样地，共选取了40个观测样方，包括超级站和耕地站的2个样方；观测下垫面包括：哈密瓜、柽柳、芦苇、杂草、花花柴、苦豆子等。\n</p>\n<p>&emsp;&emsp;每个样地内测量一次冠层上入射，测量多次冠层下透射，然后取均值，通过间隙率模型反演得到冠层LAI；每块样地至少重复2次。同时测量样方内植被的株高信息。\n</p>\n<p>&emsp;&emsp;3、  观测仪器\n</p>\n<p>&emsp;&emsp;中科院寒旱所LAI 2200\n</p>\n<p>&emsp;&emsp;4、  数据存储\n</p>\n<p>&emsp;&emsp;Excel存储观测记录数据，TXT存储LAI原始数据。</p>",
    "ds_source": "<p>&emsp;&emsp;1、 观测时间\n</p>\n<p>&emsp;&emsp;2014年7月22日，27日，30日，31日，8月1日\n</p>\n<p>&emsp;&emsp;2、 样方选择及观测方式\n</p>\n<p>&emsp;&emsp;结合下游植被分布特征，选择大面积分布（大于100 m100 m）且均一的植被作为观测样地，共选取了40个观测样方，包括超级站和耕地站的2个样方；观测下垫面包括：哈密瓜、柽柳、芦苇、杂草、花花柴、苦豆子等；\n</p>\n<p>&emsp;&emsp;3、 观测仪器\n</p>\n<p>&emsp;&emsp;中科院寒旱所LAI 2200</p>",
    "ds_process_way": "<p>&emsp;&emsp;每个样地内测量一次冠层上入射，测量多次冠层下透射，然后取均值，通过间隙率模型反演得到冠层LAI；每块样地至少重复2次。同时测量样方内植被的株高信息。</p>",
    "ds_quality": "<p>&emsp;&emsp;数据质量良好</p>",
    "ds_acq_start_time": "2014-07-22 00:00:00",
    "ds_acq_end_time": "2014-08-01 00:00:00",
    "ds_acq_place": "黑河流域,下游天然绿洲试验区",
    "ds_acq_lon_east": 100.96666666666667,
    "ds_acq_lat_south": 37.95,
    "ds_acq_lon_west": 100.36666666666666,
    "ds_acq_lat_north": 38.766666666666666,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "apply-access",
    "ds_total_size": 116887,
    "ds_files_count": 2,
    "ds_format": "txt",
    "ds_space_res": null,
    "ds_time_res": "日",
    "ds_coordinate": "WGS84",
    "ds_projection": "",
    "ds_thumbnail": "9ec25b2f-eb02-4ce0-9046-7d472c5dfe99.png",
    "ds_thumb_from": 0,
    "ds_ref_way": "李艺梦，黑河生态水文遥感试验：黑河下游LAI 2200观测LAI数据集（2014年），国家冰川冻土沙漠科学数据中心(www.ncdc.ac.cn)，2020，doi：10.12072/ncdc.NIEER.db0128.2021",
    "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": "10.12072/ncdc.NIEER.db0128.2021",
    "subject_codes": null,
    "quality_level": 3,
    "publish_time": "2021-12-01 08:52:32",
    "last_updated": "2023-05-16 17:35:28",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.ncdc.nieer.2020.1651",
    "i18n": {
        "en": {
            "title": "Heihe River eco hydrological remote sensing experiment: Lai 2200 observation data set in the lower reaches of Heihe River (2014)",
            "ds_format": "",
            "ds_source": "<p>&emsp;&emsp; 1. Observation time\n</p>\n<p>&emsp;&emsp; July 22, 27, 30, 31 and August 1, 2014\n</p>\n<p>&emsp;&emsp; 2. Quadrat selection and observation method\n</p>\n<p>&emsp;&emsp; Combined with the distribution characteristics of vegetation in the downstream, large-area (more than 100 m  100 m) and uniform vegetation is selected as the observation sample plot, and a total of 40 observation quadrats are selected, including 2 quadrats of super station and cultivated land station; The observation underlying surface includes Hami melon, Tamarix, reed, weeds, firewood, bitter beans, etc;\n</p>\n<p>&emsp;&emsp; 3. Observation instrument\n</p>\n<p>&emsp;&emsp; Institute of cold and drought, Chinese Academy of Sciences Lai 2200</p>",
            "ds_quality": "<p>&emsp;&emsp; Good data quality</p>",
            "ds_ref_way": "",
            "ds_abstract": "<p>   During the downstream aerial remote sensing test, Lai observation on the underlying surface of typical downstream vegetation was carried out, which began on July 22 and ended on August 1, 2014.\n</p>\n<p>   1. Observation time\n</p>\n<p>   July 22, 27, 30, 31 and August 1, 2014\n</p>\n<p>   2. Quadrat selection and observation method\n</p>\n<p>   Combined with the distribution characteristics of vegetation in the downstream, large-area (more than 100 m  100 m) and uniform vegetation is selected as the observation sample plot, and a total of 40 observation quadrats are selected, including 2 quadrats of super station and cultivated land station; The observation underlying surface includes Hami melon, Tamarix, reed, weeds, firewood, bitter beans, etc.\n</p>\n<p>   In each sample plot, the incident on the canopy is measured once, the transmission under the canopy is measured many times, and then the mean value is taken, and the canopy Lai is obtained through the inversion of the gap rate model; Repeat each sample at least twice. At the same time, the plant height information of vegetation in the quadrat was measured.\n</p>\n<p>   3. Observation instrument\n</p>\n<p>   Institute of cold and drought, Chinese Academy of Sciences Lai 2200\n</p>\n<p>   4. Data storage\n</p>\n<p>   Excel stores observation record data and TXT stores Lai original data</p>",
            "ds_time_res": "日",
            "ds_acq_place": "Heihe River Basin, downstream natural oasis, experimental area",
            "ds_space_res": "",
            "ds_projection": "",
            "ds_process_way": "<p>&emsp;&emsp; In each sample plot, the incident on the canopy is measured once, the transmission under the canopy is measured many times, and then the mean value is taken, and the canopy Lai is obtained through the inversion of the gap rate model; Repeat each sample at least twice. At the same time, the plant height information of vegetation in the quadrat was measured</p>",
            "ds_ref_instruction": "                                                                                \nThis 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": [
        "地面同步观测",
        "植被分布",
        "LAI",
        "叶面积指数"
    ],
    "ds_subject_tags": [
        "自然地理学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "黑河流域",
        "下游天然绿洲试验区"
    ],
    "ds_time_tags": [
        2014
    ],
    "ds_contributors": [
        {
            "true_name": "李艺梦",
            "email": "gengly@lzb.ac.cn",
            "work_for": "中国科学院寒区旱区环境与工程研究所",
            "country": "中国"
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "李艺梦",
            "email": "gengly@lzb.ac.cn",
            "work_for": "中国科学院寒区旱区环境与工程研究所",
            "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": "李艺梦",
            "email": "gengly@lzb.ac.cn",
            "work_for": "中国科学院寒区旱区环境与工程研究所",
            "country": "中国"
        }
    ],
    "category": "遥感及产品"
}