{
    "created": "2021-07-30 01:58:35",
    "updated": "2026-05-07 11:34:41",
    "id": "f53f56b4-74f7-4d13-a388-290342e0fdf9",
    "version": 3,
    "ds_topic": null,
    "title_cn": "黑河综合遥感联合试验：阿柔加密观测区机载WiDAS地面同步观测数据集（2008年5月31日）",
    "title_en": "Heihe River Integrated Remote Sensing joint test: Airborne widas ground synchronous observation data set in ARW encrypted observation area (May 31, 2008)",
    "ds_abstract": "<p>&emsp;&emsp;2008年5月31日在阿柔样方1和阿柔样方3进行了机载红外广角双模式成像仪WiDAS（Wide-angle Infrared Dual-mode line/area Array Scanner）航空飞行的地面同步观测。WiDAS由4个CCD相机、1个中红外热像仪（AGEMA 550）和1个热红外热像仪（S60）组成， 能同时获取可见光/近红外（CCD）波段5个角度、中红外波段（MIR）7个角度和热红外波段（TIR ）7个角度的数据。地面同步观测变量主要包括地表辐射温度与土壤水分。地表辐射温度采用固定自记点温计连续测量，采样间隔为0.05s，仪器比辐射率设定为1.0。\n</p>\n<p>&emsp;&emsp;数据以文本文件存储（.dat格式），每个文本文件中的前7行为说明性的头文件，包括，数据采集日期、记录的起始时间、记录时间间隔等.另外，包括Time、TObj、Tint、TBox、Tact等5列数据，其中Time：从开始记录起的时间，换算成实际时间的话需要该值加起始时间；TObj：目标温度；TInt：探头内部温度；TBox：腔体温度；Tact：根据给定的发射率换算出来的实际温度，由于仪器比辐射率设定为1.0，所以该值和TObj是一样的，需要用户根据实际地物发射率进行修正。利用TDR测量的土壤水分数据，测量深度为0-12cm和0-20cm。在样方内来回采样。\n</p>\n<p>&emsp;&emsp;数据以Excel格式保存。包括土壤温度，土壤介电常数，土壤电导率等数据。",
    "ds_source": "<p></p>\n<p>&emsp;&emsp;2008年5月31日在阿柔样方1和阿柔样方3进行了机载红外广角双模式成像仪WiDAS（Wide-angle Infrared Dual-mode line/area Array Scanner）航空飞行的地面同步观测。</p>",
    "ds_process_way": "<p>&emsp;&emsp;地表辐射温度采用固定自记点温计连续测量，采样间隔为0.05s，仪器比辐射率设定为1.0。数据以文本文件存储（.dat格式），每个文本文件中的前7行为说明性的头文件，包括，数据采集日期、记录的起始时间、记录时间间隔等.另外，包括Time、TObj、Tint、TBox、Tact等5列数据，其中Time：从开始记录起的时间，换算成实际时间的话需要该值加起始时间；TObj：目标温度；TInt：探头内部温度；TBox：腔体温度；Tact：根据给定的发射率换算出来的实际温度，由于仪器比辐射率设定为1.0，所以该值和TObj是一样的，需要用户根据实际地物发射率进行修正。\n</p>\n<p>&emsp;&emsp;利用TDR测量的土壤水分数据，测量深度为0-12cm和0-20cm。在样方内来回采样。数据以Excel格式保存。包括土壤温度，土壤介电常数，土壤电导率等数据。",
    "ds_quality": "<p></p>\n<p>&emsp;&emsp;数据质量良好</p>",
    "ds_acq_start_time": "2008-05-31 00:00:00",
    "ds_acq_end_time": "2008-06-01 00:00:00",
    "ds_acq_place": "黑河流域,阿柔加密观测站,上游寒区水文实验站",
    "ds_acq_lon_east": 100.91944444444445,
    "ds_acq_lat_south": 38.016666666666666,
    "ds_acq_lon_west": 100.68611111111112,
    "ds_acq_lat_north": 38.11666666666667,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "login-access",
    "ds_total_size": 3401849,
    "ds_files_count": 2,
    "ds_format": "excel",
    "ds_space_res": null,
    "ds_time_res": "时",
    "ds_coordinate": "WGS84",
    "ds_projection": "",
    "ds_thumbnail": "f53f56b4-74f7-4d13-a388-290342e0fdf9.jpg",
    "ds_thumb_from": 0,
    "ds_ref_way": "",
    "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.db1740.2022",
    "subject_codes": [
        "170.4510"
    ],
    "quality_level": 3,
    "publish_time": "2021-09-14 09:57:48",
    "last_updated": "2023-09-04 17:52:07",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.ncdc.NIEER.2021.2",
    "i18n": {
        "en": {
            "title": "Heihe River Integrated Remote Sensing joint test: Airborne widas ground synchronous observation data set in ARW encrypted observation area (May 31, 2008)",
            "ds_format": "excel",
            "ds_source": "<p></p>\n<p>&emsp; On May 31, 2008, the ground synchronous observation of airborne infrared wide-angle dual-mode line / area array scanner (widas) was carried out in arxo sampang 1 and arxo sampang 3.</p>",
            "ds_quality": "<p></p>\n<p>&emsp; Good data quality</p>",
            "ds_ref_way": "",
            "ds_abstract": "<p>  On May 31, 2008, the ground synchronous observation of airborne infrared wide-angle dual-mode line / area array scanner (widas) was carried out in arxo sampang 1 and arxo sampang 3. Widas is composed of 4 CCD cameras, 1 mid infrared thermal imager (AGEMA 550) and 1 thermal infrared thermal imager (S60). It can simultaneously obtain data of 5 angles of visible / near infrared (CCD) band, 7 angles of mid infrared band (MIR) and 7 angles of thermal infrared band (TIR). The ground synchronous observation variables mainly include surface radiation temperature and soil moisture. The surface radiation temperature is continuously measured with a fixed self recording point thermometer, the sampling interval is 0.05s, and the specific emissivity of the instrument is set to 1.0.\n</p>\n<p>  The data is stored in a text file (. Dat format). The first 7 lines in each text file are descriptive header files, including data collection date, recording start time, recording time interval, etc. in addition, it includes 5 columns of data such as time, toBJ, tint, Tbox and tact, where time: the time from the beginning of recording. If converted to actual time, this value plus the start time is required; ToBJ: target temperature; Tint: probe internal temperature; Tbox: cavity temperature; Tact: the actual temperature converted according to the given emissivity. Since the specific emissivity of the instrument is set to 1.0, this value is the same as toBJ, which needs to be corrected by the user according to the actual ground emissivity. Using the soil moisture data measured by TDR, the measured depths are 0-12cm and 0-20cm. Sample back and forth in the quadrat.\n</p>\n<p>  The data is saved in Excel format. Including soil temperature, soil dielectric constant, soil conductivity and other data.</p>",
            "ds_time_res": "时",
            "ds_acq_place": "Heihe River Basin, a rou densification observation station, upstream cold region hydrological Experiment Station",
            "ds_space_res": "",
            "ds_projection": "",
            "ds_process_way": "<p>&emsp;The surface radiation temperature is continuously measured with a fixed self recording point thermometer, the sampling interval is 0.05s, and the specific emissivity of the instrument is set to 1.0. The data is stored in a text file (. Dat format). The first 7 lines in each text file are descriptive header files, including data collection date, recording start time, recording time interval, etc. in addition, it includes 5 columns of data such as time, toBJ, tint, Tbox and tact, where time: the time from the beginning of recording. If converted to actual time, this value plus the start time is required; ToBJ: target temperature; Tint: probe internal temperature; Tbox: cavity temperature; Tact: the actual temperature converted according to the given emissivity. Since the specific emissivity of the instrument is set to 1.0, this value is the same as toBJ, which needs to be corrected by the user according to the actual ground emissivity.\n</p>\n<p>&emsp; Using the soil moisture data measured by TDR, the measured depths are 0-12cm and 0-20cm. Sample back and forth in the quadrat. The data is saved in Excel format. Including soil temperature, soil dielectric constant, soil conductivity and other data.",
            "ds_ref_instruction": "This data was generated by the \"Heihe Comprehensive Remote Sensing Joint Experiment\". When using the data, please clearly state the source of the data in the main text and cite the citation provided by this metadata in the reference section."
        }
    },
    "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": [
        "土壤",
        "地表辐射温度",
        "热像仪",
        "地表辐射特性",
        "红外广角双模式成像仪WiDAS",
        "土壤湿度/水分含量",
        "CCD相机",
        "机载地面遥感"
    ],
    "ds_subject_tags": [
        "自然地理学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "黑河流域",
        "上游寒区水文试验区",
        "阿柔加密观测区"
    ],
    "ds_time_tags": [
        2008
    ],
    "ds_contributors": [
        {
            "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": "晋锐",
            "email": "jinrui@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": "周梦维",
            "email": "mengweizhou@hotmail.com",
            "work_for": "中国科学院遥感应用研究所",
            "country": "中国"
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "晋锐",
            "email": "jinrui@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": "晋锐",
            "email": "jinrui@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"
}