2008年5月31日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。\n
\n地面同步观测数据包括地表辐射温度与土壤水分，分别在5个大小为30 m×30 m、覆盖为稀疏小麦、油菜和裸土的样方内采集数据。飞行航带只覆盖扁都口样方3和扁都口样方4；只获得样方2、3、4和5四个30m×30m样方的25个角点辐射温度。\n
\n1. 手持式红外温度计测量地表辐射温度：手持式红外温度计测量辐射温度时，以7.5m为界将30m×30m样方分割为21个角点，在每个角点上测量3次。如果样方内植被和裸土共存，则测量2次裸土和1次植被。数据包括原始数据与记录数据、经过黑体定标后的温度数据。 \n
\n2. 0-5cm土壤水分：利用TDR测量的0-5cm土壤水分数据，除了扁都口样方1外，其他几个样方均具有该数据。每个样方采样16个7.5m×7.5m小样方中心点，每点测量3次。数据以Excel格式存储。 \n
\n3. 红外连续地表辐射温度：利用固定自记点温计测量红外连续性辐射温度。仪器的视场角约为10°，垂直向下观测，采样间隔为1s。架设高度见数据文档。仪器设定比辐射率为0.95。本数据包括原始数据与经过黑体定标、比辐射率纠正后的处理数据。均以Excel格式保存。\n
\n本数据集包括：\n
\n（1）扁都口样方2、扁都口样方3、扁都口样方4、扁都口样方5的定点温度预处理数据\n
\n（2）手持式红外温度计测量的辐射温度数据\n
\n（3）手持式红外温度计定标数据\n
\n（4）连续测量辐射计预处理数据及数据内容说明等文件", "ds_source": "
地面同步观测数据包括地表辐射温度与土壤水分，分别在5个大小为30 m×30 m、覆盖为稀疏小麦、油菜和裸土的样方内采集数据。飞行航带只覆盖扁都口样方3和扁都口样方4；只获得样方2、3、4和5四个30m×30m样方的25个角点辐射温度。", "ds_process_way": "
手持式红外温度计测量地表辐射温度：手持式红外温度计测量辐射温度时，以7.5m为界将30m×30m样方分割为21个角点，在每个角点上测量3次。如果样方内植被和裸土共存，则测量2次裸土和1次植被。数据包括原始数据与记录数据、经过黑体定标后的温度数据。\n
\n0-5cm土壤水分：利用TDR测量的0-5cm土壤水分数据，除了扁都口样方1外，其他几个样方均具有该数据。每个样方采样16个7.5m×7.5m小样方中心点，每点测量3次。数据以Excel格式存储。\n
\n红外连续地表辐射温度：利用固定自记点温计测量红外连续性辐射温度。仪器的视场角约为10°，垂直向下观测，采样间隔为1s。架设高度见数据文档。仪器设定比辐射率为0.95。\n
\n本数据包括原始数据与经过黑体定标、比辐射率纠正后的处理数据。均以Excel格式保存。", "ds_quality": "
\n数据质量良好
", "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", "ds_acq_lon_east": 100.44305555555556, "ds_acq_lat_south": 38.04333333333333, "ds_acq_lon_west": 100.58972222222222, "ds_acq_lat_north": 38.973888888888894, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 7877507, "ds_files_count": 10, "ds_format": "excel", "ds_space_res": null, "ds_time_res": "时", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "4ebea840-2ac6-4cd3-9255-c6aeb2e188cd.png", "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.db1864.2022", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2022-03-15 15:32:55", "last_updated": "2025-06-30 16:05:48", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.NIEER.2021.1965", "i18n": { "en": { "title": "Heihe integrated remote sensing joint test: Airborne widas ground synchronous observation data set in Bian Du Kou encrypted observation area (May 31, 2008)", "ds_format": "excel", "ds_source": "The ground synchronous observation data include surface radiation temperature and soil moisture, which are 30 m in five areas respectively × 30 m. collect data in the quadrat covered with sparse wheat, rape and bare soil. The flight strip only covers flat mouth quadrat 3 and flat mouth quadrat 4; Only four 30m quadrats 2, 3, 4 and 5 were obtained × Radiation temperature at 25 corners of 30m quadrat.", "ds_quality": "
\nGood data quality
", "ds_ref_way": "", "ds_abstract": "The ground synchronous observation of airborne wide-angle infrared dual-mode line / area array scanner (widas) was carried out on May 31, 2008. 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).\n
\nThe ground synchronous observation data include surface radiation temperature and soil moisture, which are 30 m in five areas respectively × 30 m. collect data in the quadrat covered with sparse wheat, rape and bare soil. The flight strip only covers flat mouth quadrat 3 and flat mouth quadrat 4; Only four 30m quadrats 2, 3, 4 and 5 were obtained × Radiation temperature at 25 corners of 30m quadrat.\n
\n1. Measurement of surface radiation temperature by hand-held infrared thermometer: when measuring radiation temperature by hand-held infrared thermometer, 30m shall be set at the boundary of 7.5m × The 30m quadrat is divided into 21 corner points and measured 3 times on each corner point. If vegetation and bare soil coexist in the quadrat, measure bare soil twice and vegetation once. The data includes original data, recorded data and temperature data after blackbody calibration.\n
\n2. 0-5cm soil moisture: the data of 0-5cm soil moisture measured by TDR are available in several quadrats except biandukou quadrat 1. 16 samples per quadrat, 7.5m × The center point of 7.5m small sample shall be measured 3 times for each point. The data is stored in Excel format.\n
\n3. Infrared continuous surface radiation temperature: use a fixed self recording point thermometer to measure the infrared continuous radiation temperature. The field angle of view of the instrument is about 10 °, observe vertically downward, and the sampling interval is 1s. See data document for erection height. The specific emissivity of the instrument is set to 0.95. This data includes original data and processed data after blackbody calibration and specific emissivity correction. All are saved in Excel format.\n
\nThis dataset includes:\n
\n（1) Fixed point temperature preprocessing data of flat mouth quadrat 2, flat mouth quadrat 3, flat mouth quadrat 4 and flat mouth quadrat 5\n
\n（2) Radiation temperature data measured by hand-held infrared thermometer\n
\n（3) Calibration data of handheld infrared thermometer\n
\n（4) Documents such as pretreatment data and data content description of continuous measurement radiometer
", "ds_time_res": "时", "ds_acq_place": "Heihe River Basin", "ds_space_res": "", "ds_projection": "", "ds_process_way": "Measurement of surface radiation temperature with hand-held infrared thermometer: when measuring radiation temperature with hand-held infrared thermometer, 30m shall be set at the boundary of 7.5m × The 30m quadrat is divided into 21 corner points and measured 3 times on each corner point. If vegetation and bare soil coexist in the quadrat, measure bare soil twice and vegetation once. The data includes original data, recorded data and temperature data after blackbody calibration.\n
\n0-5cm soil moisture: the data of 0-5cm soil moisture measured by TDR are available in several quadrats except biandukou quadrat 1. 16 samples per quadrat, 7.5m × The center point of 7.5m small sample shall be measured 3 times for each point. The data is stored in Excel format.\n
\nInfrared continuous surface radiation temperature: use a fixed self recording point thermometer to measure the infrared continuous radiation temperature. The field angle of view of the instrument is about 10 °, observe vertically downward, and the sampling interval is 1s. See data document for erection height. The specific emissivity of the instrument is set to 0.95.\n
\nThis data includes original data and processed data after blackbody calibration and specific emissivity correction. All are saved in Excel format.", "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": "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": [ "多角度热红外与CCD相机", "手持式红外温度计", "TDR", "红外广角双模式成像仪WiDAS", "固定自记点温计", "地表辐射温度", "土壤水分" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "上游寒区水文试验区", "扁都口加密观测区", "黑河流域" ], "ds_time_tags": [ 2008 ], "ds_contributors": [ { "true_name": "任华忠", "email": "renhuazhong@pku.edu.cn", "work_for": "北京大学遥感与地理信息系统研究所", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "任华忠", "email": "renhuazhong@pku.edu.cn", "work_for": "北京大学遥感与地理信息系统研究所", "country": "中国" } ], "ds_managers": [ { "true_name": "任华忠", "email": "renhuazhong@pku.edu.cn", "work_for": "北京大学遥感与地理信息系统研究所", "country": "中国" } ], "category": "遥感及产品" }