进行了土壤水分，地表辐射温度观测。\n
\n1.土壤水分观测。观测目标：0-5cm表层土壤。.观测仪器：环刀（体积50cm^3）。观测样方和采样次数：自东向西第六第七第八航线下LY06，LY07和LY08样方（每个样方内9次观测）。预处理数据为土壤体积含水量。数据存储：Excel。\n
\n2.地表辐射温度观测。观测仪器：手持式红外温度计（寒旱所5#，寒旱所6#，地理所）；仪器均经过定标（请参考手持红外温度计定标数据.xls）。观测样方和采样次数：自东向西第六LY06第七LY07样方（每个样方49个观测点，每次飞机过境时每个观测点3次重复，共有3次过境）\n
\n预处理数据根据热红外定标数据（标准源为黑体），将各仪器的实测温度与相应黑体温度进行直线拟合，求得拟合方程，再利用上述拟合的方程，对观测的原始观测数据进行定标处理。数据存储：Excel。\n
\n样方样带的分布和编号信息请参见元数据“黑河综合遥感联合试验：临泽站加密观测区样方样带布置”，样方位置见临泽站加密观测站样方样带坐标.xls。", "ds_source": "
2008年6月6日在临泽站加密观测区开展成像光谱仪OMIS-II飞机地面同步观测，共进行了土壤水分，地表辐射温度观测。", "ds_process_way": "
1.土壤水分观测。自东向西第六第七第八航线下LY06，LY07和LY08样方（每个样方内9次观测）。\n
\n2.地表辐射温度观测。自东向西第六LY06第七LY07样方（每个样方49个观测点，每次飞机过境时每个观测点3次重复，共有3次过境）。预处理数据根据热红外定标数据（标准源为黑体），将各仪器的实测温度与相应黑体温度进行直线拟合，求得拟合方程，再利用上述拟合的方程，对观测的原始观测数据进行定标处理。", "ds_quality": "
数据质量良好", "ds_acq_start_time": "2008-06-16 00:00:00", "ds_acq_end_time": "2008-06-16 00:00:00", "ds_acq_place": "黑河流域, 中游干旱区水文试验区, 临泽站加密观测区", "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": 7939890, "ds_files_count": 2, "ds_format": "excel", "ds_space_res": null, "ds_time_res": "时", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "7f99cb63-71c5-43db-9392-4c33a16816ef.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.db1832.2022", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2022-03-14 18:24:05", "last_updated": "2025-06-30 16:07:29", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.NIEER.2021.1802", "i18n": { "en": { "title": "Heihe integrated remote sensing joint test: airborne imaging spectrometer omis-ii ground synchronous observation data set in the encrypted observation area of Linze station (June 6, 2008)", "ds_format": "excel", "ds_source": "
On June 6, 2008, the imaging spectrometer omis-ii aircraft ground synchronous observation was carried out in the intensive observation area of Linze station, and the soil moisture and surface radiation temperature were observed.", "ds_quality": "
Good data quality", "ds_ref_way": "", "ds_abstract": "
Soil moisture and surface radiation temperature were observed.\n
\n1. Soil moisture observation. Observation target: 0-5cm topsoil Observation instrument: ring knife (volume 50cm ^ 3). Observation quadrats and sampling times: ly06, ly07 and ly08 quadrats under the sixth, seventh and eighth route from east to West (9 observations in each quadrat). The pretreatment data is soil volume water content. Data storage: Excel.\n
\n2. Observation of surface radiation temperature. Observation instrument: hand held infrared thermometer (cold and drought Institute 5#, cold and drought Institute 6#, Geography Institute); All instruments have been calibrated (please refer to the calibration data of handheld infrared thermometer. XLS). Observation quadrat and sampling times: the sixth ly06 and the seventh ly07 quadrat from east to West (49 observation points for each quadrat, 3 repetitions for each observation point during each aircraft transit, a total of 3 crossings)\n
\nPreprocessing data according to the thermal infrared calibration data (the standard source is blackbody), the measured temperature of each instrument is linearly fitted with the corresponding blackbody temperature to obtain the fitting equation, and then the above fitted equation is used to calibrate the observed original observation data. Data storage: Excel.\n
\nSee the metadata \"Heihe integrated remote sensing joint test: layout of quadrat transects in the densified observation area of Linze station\" for the distribution and number of quadrat transects, and see the quadrat transect coordinates.xls of the densified observation station of Linze station for the quadrat location.
", "ds_time_res": "时", "ds_acq_place": "Heihe River Basin, hydrological experimental area of arid area in the middle reaches, intensive observation area of Linze station", "ds_space_res": "", "ds_projection": "", "ds_process_way": "1. Soil moisture observation. From east to West Route 6, Route 7, sample ly06, ly07 and ly08 (9 observations in each sample).\n
\n2. Observation of surface radiation temperature. The sixth ly06 and seventh ly07 quadrat from east to West (each quadrat has 49 observation points, and each observation point repeats 3 times each time the aircraft passes through, with a total of 3 crossings). Preprocessing data according to the thermal infrared calibration data (the standard source is blackbody), the measured temperature of each instrument is linearly fitted with the corresponding blackbody temperature to obtain the fitting equation, and then the above fitted equation is used to calibrate the observed original observation 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": "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": [ "环刀", "地表辐射温度", "土壤水分", "成像光谱仪OMIS-II", "手持式红外温度计", "地面同步观测", "土壤", "地表辐射特性", "地面遥感" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "黑河流域", "临泽站加密观测区", "中游干旱区水文试验区" ], "ds_time_tags": [ 2008 ], "ds_contributors": [ { "true_name": "宋怡", "email": "songyi05@sohu.com", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "汪洋", "email": "wangyang@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "" } ], "ds_meta_authors": [ { "true_name": "宋怡", "email": "songyi05@sohu.com", "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": "宋怡", "email": "songyi05@sohu.com", "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" }