2008年5月24日在临泽站开展Envisat ASAR和ALOS PALSAR卫星地面同步观测，进行了土壤水分，地表辐射温度，手工LAI等观测。Envisat ASAR数据已获取，ALOS PALSAR数据未获取。\nEnvisat ASAR数据为AP模式，VV/VH极化组合方式，过境时间约为11:34BJT。\n
\n1. 土壤水分观测。观测目标：0-5cm的表层土壤。观测仪器： 环刀（体积50cm^3）， ML2X土壤水分速测仪。观测样方和观测次数：荒漠东西样带（包含40个子样方，每个子样方角点环刀各1次采样）、荒漠南北样带（包含9个子样方，每个子样方中心点环刀1次采样）、五里墩玉米地9个小样方中点观测，中心的5号样方加密，4个角点也观测（每个观测点环刀1次采样，ML2X土壤水分速测仪3次重复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#），仪器均经过定标（请参考手持式热辐射仪定标数据.xls）。观测样方和观测次数：荒漠东西样带（含40个子样方，每个子样方14－30次重复）、荒漠南北样带（含9个子样方，每个子样方12－30次重复）。预处理数据根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
\n3. 手工测量LAI。观测样方：五里墩农田样方和临泽站内样方。观测项目：LAI，株高，间距。LAI观测方案：（1）利用直尺和三角板，抽样测量和记录叶片长和宽，样方作物总株数，样方大小，计算出作物的平均叶片面积，乘上样方内总株数，得出估算的作物总的叶片面积后，除以样方面积，得到的是观测样方每天的LAI观测平均值；（2）利用LI-3100观测LAI。株高测量方案：用卷尺测量样方内制种玉米的父本和母本的高度。间距测量方案：用卷尺分别测量制种玉米父本和母本的行距，株距和垄距。存储方式：此数据为处理后数据，文件格式为Excel表格。\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5月24日在临泽站开展Envisat ASAR和ALOS PALSAR卫星地面同步观测，进行了土壤水分，地表辐射温度，手工LAI等观测。Envisat ASAR数据已获取，ALOS PALSAR数据未获取。\n
\nEnvisat ASAR数据为AP模式，VV/VH极化组合方式，过境时间约为11:34BJT。
", "ds_process_way": "土壤水分观测。观测目标：0-5cm的表层土壤。观测仪器： 环刀（体积50cm^3）， ML2X土壤水分速测仪。观测样方和观测次数：荒漠东西样带（包含40个子样方，每个子样方角点环刀各1次采样）、荒漠南北样带（包含9个子样方，每个子样方中心点环刀1次采样）、五里墩玉米地9个小样方中点观测，中心的5号样方加密，4个角点也观测（每个观测点环刀1次采样，ML2X土壤水分速测仪3次重复观测预处理数据为土壤体积含水量。数据存储：Excel。
\n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#），仪器均经过定标（请参考手持式热辐射仪定标数据.xls）。\n
\n观测样方和观测次数：荒漠东西样带（含40个子样方，每个子样方14－30次重复）、荒漠南北样带（含9个子样方，每个子样方12－30次重复）。预处理数据根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手工测量LAI。观测样方：五里墩农田样方和临泽站内样方。观测项目：LAI，株高，间距。LAI观测方案：\n
\n（1）利用直尺和三角板，抽样测量和记录叶片长和宽，样方作物总株数，样方大小，计算出作物的平均叶片面积，乘上样方内总株数，得出估算的作物总的叶片面积后，除以样方面积，得到的是观测样方每天的LAI观测平均值；\n
\n（2）利用LI-3100观测LAI。株高测量方案：用卷尺测量样方内制种玉米的父本和母本的高度。间距测量方案：用卷尺分别测量制种玉米父本和母本的行距，株距和垄距。存储方式：此数据为处理后数据，文件格式为Excel表格。
", "ds_quality": "数据质量良好
", "ds_acq_start_time": "2008-06-07 00:00:00", "ds_acq_end_time": "2008-06-07 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": 6200168, "ds_files_count": 2, "ds_format": "excel,txt", "ds_space_res": null, "ds_time_res": "时", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "d746431c-767d-4be5-a29b-97230dd85c33.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.db1863.2022", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2022-03-15 15:33:00", "last_updated": "2025-06-30 16:06:27", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.NIEER.2021.1812", "i18n": { "en": { "title": "Heihe River Integrated Remote Sensing joint test: ENVISAT ASAR and alos PALSAR ground synchronous observation data sets in the encrypted observation area of Linze station (May 24, 2008)", "ds_format": "excel,txt", "ds_source": "On May 24, 2008, ENVISAT ASAR and alos PALSAR satellite ground synchronous observations were carried out at Linze station, including soil moisture, surface radiation temperature and manual Lai. ENVISAT ASAR data has been obtained, alos PALSAR data has not been obtained.\n
\nENVISAT ASAR data is AP mode, VV / VH polarization combination mode, and the transit time is about 11:34bjt
", "ds_quality": "Good data quality
", "ds_ref_way": "", "ds_abstract": "On May 24, 2008, ENVISAT ASAR and alos PALSAR satellite ground synchronous observations were carried out at Linze station, including soil moisture, surface radiation temperature and manual Lai. ENVISAT ASAR data has been obtained, alos PALSAR data has not been obtained.\nENVISAT ASAR data is AP mode, VV / VH polarization combination mode, and the transit time is about 11:34bjt.\n
\n1. Soil moisture observation. Observation target: 0-5cm topsoil. Observation instrument: ring knife (volume 50cm ^ 3), ml2x soil moisture rapid tester. Observation quadrats and observation times: Desert East-West sample zone (including 40 sub quadrats, one sampling for each sub quadrat corner), desert north-south sample zone (including 9 sub quadrats, one sampling for each sub quadrat center point), observation at the midpoint of 9 small quadrats in wulidun corn field, densification of No. 5 quadrat in the center, and observation at 4 corners (one sampling for each observation point, Ml2x soil moisture meter repeated observation for 3 times, and 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#), and the instruments have been calibrated (please refer to the calibration data of hand-held thermal radiometer. XLS). Observation quadrats and observation times: Desert East-West sample zone (including 40 sub quadrats, each sub quadrat 14-30 repetitions), desert north-south sample zone (including 9 sub quadrats, each sub quadrat 12-30 repetitions). 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. Data storage: Excel.\n
\n3. Manually measure Lai. Observation quadrat: wulidun farmland quadrat and Linze station quadrat. Observation items: Lai, plant height and spacing. Lai observation scheme: (1) use a ruler and a triangular plate to sample, measure and record the leaf length and width, the total number of crops in the quadrat and the quadrat size, calculate the average leaf area of the crop, multiply by the total number of plants in the quadrat, obtain the estimated total leaf area of the crop, and divide it by the quadrat area to obtain the daily Lai observation average value of the observed quadrat（ 2) Lai was observed using li-3100. Plant height measurement scheme: measure the height of male and female parents of seed Maize in the quadrat with a tape measure. Spacing measurement scheme: measure the row spacing, plant spacing and ridge spacing of male and female parents of seed maize with tape. Storage method: this data is processed data, and the file format is 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": "Soil moisture observation. Observation target: 0-5cm topsoil. Observation instrument: ring knife (volume 50cm ^ 3), ml2x soil moisture rapid tester. Observation quadrats and observation times: Desert East-West sample zone (including 40 sub quadrats, one sampling for each sub quadrat corner), desert north-south sample zone (including 9 sub quadrats, one sampling for each sub quadrat center point), observation at the midpoint of 9 small quadrats in wulidun corn field, densification of No. 5 quadrat in the center, and observation at 4 corners (one sampling for each observation point, Ml2x soil moisture meter repeated observation for 3 times, and the pretreatment data is soil volume water content. Data storage: Excel
\nSurface radiation temperature observation. Observation instrument: hand held infrared thermometer (cold and drought Institute 5#, cold and drought Institute 6#), and the instruments have been calibrated (please refer to the calibration data of hand-held thermal radiometer. XLS).\n
\nObservation quadrats and observation times: Desert East-West sample zone (including 40 sub quadrats, each sub quadrat 14-30 repetitions), desert north-south sample zone (including 9 sub quadrats, each sub quadrat 12-30 repetitions). 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. Data storage: Excel
\nManually measure Lai. Observation quadrat: wulidun farmland quadrat and Linze station quadrat. Observation items: Lai, plant height and spacing. Lai observation scheme:\n
\n（ 1) Use a ruler and a triangular plate to sample, measure and record the leaf length and width, the total number of crops in the quadrat and the quadrat size, calculate the average leaf area of the crop, multiply the total number of plants in the quadrat, obtain the estimated total leaf area of the crop, and divide it by the quadrat area to obtain the daily Lai observation average value of the observed quadrat;\n
\n（ 2) Lai was observed using li-3100. Plant height measurement scheme: measure the height of male and female parents of seed Maize in the quadrat with a tape measure. Spacing measurement scheme: measure the row spacing, plant spacing and ridge spacing of male and female parents of seed maize with tape. Storage method: this data is processed data, and the file format is excel
", "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, "ds_topic_tags": [ "环刀", "土壤水分", "手持式红外温度计", "地面同步观测", "ML2X土壤水分速测仪", "ASAR", "PALSAR", "地表辐射温度", "LAI", "航天遥感", "土壤", "微波遥感", "叶面积指数", "植被", "地表辐射特性", "土壤湿度" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "中游干旱区水文试验区", "黑河流域", "临泽站加密观测区" ], "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" } ], "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" }