{
    "created": "2021-07-29 06:55:41",
    "updated": "2026-05-03 01:17:17",
    "id": "a09b9a02-5f67-441b-9daf-cfb198b2a1a2",
    "version": null,
    "ds_topic": null,
    "title_cn": "黑河综合遥感联合试验：冰沟流域加密观测区K&Ka波段机载微波辐射计地面同步观测数据集（2008年3月30日）",
    "title_en": "Heihe River Integrated Remote Sensing joint experiment: ground synchronous observation data set of K & Ka band airborne microwave radiometer in intensive observation area of Binggou basin (March 30, 2008)",
    "ds_abstract": "<p>&emsp;&emsp;2008年3月30日在冰沟流域加密观测区开展的K&Ka波段机载微波辐射计的地面同步观测，为积雪微波辐射特性及参数反演，尤其是干湿雪的判别研究提供了基本数据集。\n</p>\n<p>&emsp;&emsp;观测内容包括：\n</p>\n<p>&emsp;&emsp;1）雪特性分析仪观测，参数包括有雪密度、雪复介电常数、雪体积含水量、雪重量含水量等，该测量在样地BG-A进行。\n</p>\n<p>&emsp;&emsp;2）积雪参数观测，包括雪深观测、飞机过境时同步的雪表面温度观测、分层的雪深温度观测、雪粒径观测、雪密度观测。该观测分别在5个样地BG-A、BG-B、BG-F、BG-H、BG-I进行。其中BG-A测量10个点，BG-B测量6个点，BG-F测量12个点，BG-H测量21个点，BG-I测量20个点。具体测量方法和使用的仪器如下：在每一个测量点挖积雪剖面，自上而下每10cm均匀分层，如果最后剩下的深度超过10cm而不足15cm则以一层划分。分别测量每层的厚度、雪粒径、密度、温度。每层厚度有塑料直尺量出；雪粒径有手持显微镜人工读数；每一层随机测量三次；密度由每层的环刀采取雪样计算得到；温度由针式温度计测量得到，每一层积雪温度由同时测量的两个针式温度计的平均值决定。并且同时在I样地和H样地于飞机过境时同步测量雪表面温度。\n该数据集包括原始数据和预处理数据2个文件夹。",
    "ds_source": "<p>&emsp;&emsp;2008年3月30日在冰沟流域加密观测区开展的Ka&amp;K波段机载微波辐射计航空遥感地面同步观测，为积雪微波辐射特性及参数反演，尤其是雪深与雪水当量研究提供了基本数据集。",
    "ds_process_way": "<p>&emsp;&emsp;观测内容包括：\n</p>\n<p>&emsp;&emsp;1）雪特性分析仪观测，观测变量雪密度、雪复介电常数、雪体积含水量、雪重量含水量等，该测量在样地BG-A进行。\n</p>\n<p>&emsp;&emsp;2）积雪参数观测，包括雪深（塑料直尺），分层雪深温度（针式温度计两个测量值的平均值），雪粒径（手持显微镜），雪密度（环刀法）及卫星过境时同步的雪表面和雪土界面温度温度（手持式红外温度计），该观测分别在4个样地BG-A、BG-B、BG-EF、BG-I进行，其中BG-A测量（18个点），其它3个样地测量20个点。分层标准为挖积雪剖面，自上而下每10cm均匀分层，如果最后剩下的深度超过10cm而不足15cm则以一层划分。",
    "ds_quality": "<p>&emsp;&emsp;数据质量良好",
    "ds_acq_start_time": "2008-03-30 00:00:00",
    "ds_acq_end_time": "2008-03-30 00:00:00",
    "ds_acq_place": "黑河流域",
    "ds_acq_lon_east": 100.44305555555556,
    "ds_acq_lat_south": 38.04333333333333,
    "ds_acq_lon_west": 100.58972222222222,
    "ds_acq_lat_north": 38.92388888888889,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "apply-access",
    "ds_total_size": 25734338,
    "ds_files_count": 2,
    "ds_format": "txt,Excel",
    "ds_space_res": null,
    "ds_time_res": "时",
    "ds_coordinate": "WGS84",
    "ds_projection": "",
    "ds_thumbnail": "a09b9a02-5f67-441b-9daf-cfb198b2a1a2.png",
    "ds_thumb_from": 0,
    "ds_ref_way": "梁继, 马明国, 白云洁, 盖春梅, 郝晓华, 李弘毅, 舒乐乐, 王旭峰, 王建华 , 车涛，黑河综合遥感联合试验：冰沟流域加密观测区K&Ka波段机载微波辐射计地面同步观测数据集（2008年3月30日），国家冰川冻土沙漠科学数据中心(www.ncdc.ac.cn)，2021，doi：10.12072/ncdc.NIEER.db1718.2022",
    "paper_ref_way": "",
    "ds_ref_instruction": "本数据由“黑河综合遥感联合试验”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": "14df1d8b-6362-4c0f-b88e-b46d4abe5db9",
    "ds_serv_man": "敏玉芳",
    "ds_serv_phone": "0931-4967596",
    "ds_serv_mail": "ncdc@lzb.ac.cn",
    "doi_value": "10.12072/ncdc.NIEER.db1718.2022",
    "subject_codes": null,
    "quality_level": 3,
    "publish_time": "2021-09-14 10:03:50",
    "last_updated": "2022-03-11 09:44:25",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.ncdc.NIEER.2021.6",
    "i18n": {
        "en": {
            "title": "Heihe River Integrated Remote Sensing joint experiment: ground synchronous observation data set of K & Ka band airborne microwave radiometer in intensive observation area of Binggou basin (March 30, 2008)",
            "ds_format": "",
            "ds_source": "<p>&emsp; Ka & amp carried out in the intensive observation area of Binggou basin on March 30, 2008; K-band airborne microwave radiometer aerial remote sensing ground synchronous observation provides a basic data set for snow microwave radiation characteristics and parameter inversion, especially for the study of snow depth and snow water equivalent.",
            "ds_quality": "<p>&emsp;Good data quality",
            "ds_ref_way": "",
            "ds_abstract": "<p>  The ground synchronous observation of K &amp; Ka band airborne microwave radiometer in the intensive observation area of Binggou basin on March 30, 2008 provides a basic data set for the inversion of snow microwave radiation characteristics and parameters, especially the discrimination of dry and wet snow.\n</p>\n<p>  Observation contents include:\n</p>\n<p>  1) The parameters observed by snow characteristic analyzer include snow density, snow complex dielectric constant, snow volume water content, snow weight water content, etc. the measurement is carried out in sample plot bg-a.\n</p>\n<p>  2) Snow parameter observation, including snow depth observation, synchronous snow surface temperature observation during aircraft transit, layered snow depth temperature observation, snow particle size observation and snow density observation. The observation was carried out in 5 sample plots bg-a, bg-b, bg-f, bg-h and bg-i. There are 10 points measured by bg-a, 6 points measured by bg-b, 12 points measured by bg-f, 21 points measured by bg-h and 20 points measured by bg-i. The specific measurement methods and instruments used are as follows: dig the snow section at each measurement point, and evenly layer every 10cm from top to bottom. If the last remaining depth is more than 10cm but less than 15cm, it shall be divided into one layer. Measure the thickness, snow particle size, density and temperature of each layer respectively. The thickness of each layer is measured with a plastic ruler; Manual reading of snow particle size with hand-held microscope; Three random measurements for each layer; The density is calculated from the snow sample taken by the ring knife of each layer; The temperature is measured by the needle thermometer, and the temperature of each layer of snow is determined by the average value of two needle thermometers measured at the same time. At the same time, the snow surface temperature is measured simultaneously in sample I and sample h when the aircraft passes through.\nThe dataset includes two folders: original data and preprocessed data.</p>",
            "ds_time_res": "时",
            "ds_acq_place": "",
            "ds_space_res": "",
            "ds_projection": "",
            "ds_process_way": "<p>&emsp; Observation contents include:\n</p>\n<p>&emsp; 1) The snow characteristic analyzer observes the variable snow density, snow complex dielectric constant, snow volume water content, snow weight water content, etc. the measurement is carried out in sample plot bg-a.\n</p>\n<p>&emsp; 2) Snow parameter observation, including snow depth (plastic ruler), layered snow depth temperature (average of two measured values of needle thermometer), snow particle size (hand-held microscope), snow density (ring knife method) and synchronous snow surface and snow soil interface temperature during satellite transit (hand-held infrared thermometer). The observation was carried out in four sample plots bg-a, bg-b, bg-ef and bg-i respectively, Bg-a measurement (18 points) and 20 points in the other 3 sample plots. The stratification standard is the snow digging profile, which is evenly layered every 10cm from top to bottom. If the last remaining depth is more than 10cm but less than 15cm, it is divided into one layer.",
            "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": [
        "雪表面温度",
        "雪重量含水量",
        "雪深",
        "地面同步观测",
        "雪特性分析仪",
        "雪密度",
        "雪体积含水量",
        "Ka波段机载微波辐射计",
        "雪复介电常数",
        "雪粒径",
        "雪层温度"
    ],
    "ds_subject_tags": [
        "自然地理学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "冰沟流域加密观测区",
        "上游寒区水文试验区",
        "黑河流域"
    ],
    "ds_time_tags": [
        2008
    ],
    "ds_contributors": [
        {
            "true_name": "梁继",
            "email": "leung@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": "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": "白云洁",
            "email": "baiyj27@163.com",
            "work_for": "中国科学院西北生态环境资源研究院",
            "country": "中国"
        },
        {
            "true_name": "盖春梅",
            "email": "Gechm@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": "郝晓华",
            "email": "haoxh@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": "李弘毅",
            "email": "lihongyi@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": "舒乐乐",
            "email": "lele.shu@gmail.com",
            "work_for": "中国科学院西北生态环境资源研究院",
            "country": "中国"
        },
        {
            "true_name": "王旭峰",
            "email": "wangxufeng@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": "王建华 ",
            "email": "jhwang@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": "车涛",
            "email": "chetao@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": "梁继",
            "email": "leung@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_managers": [
        {
            "true_name": "梁继",
            "email": "leung@lzb.ac.cn",
            "work_for": "中国科学院西北生态环境资源研究院",
            "country": "中国"
        }
    ],
    "category": "遥感及产品"
}