2008年7月11日在临泽站加密观测区开展了机载红外广角双模式成像仪WiDAS（Wide-angle Infrared Dual-mode line/area Array Scanner）以及Envisat ASAR卫星同步地面观测试验，观测内容包括土壤水分、地表辐射温度、地物光谱、BRDF、LAI-2000测量LAI、鱼眼相机测量LAI、手工测量LAI等。\n
\nWiDAS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。Envisat ASAR数据为AP模式，VV/VH极化组合方式，过境时间约为11:26BJT。\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），ML2X土壤水分速测仪。观测样方和采样次数：荒漠东西样带（包含40个子样方，每个子样方的角点环刀各1次采样）、荒漠南北样带（包含9个子样方，每个子样方的角点环刀各1次采样）、自东向西飞行航线下LY06和LY07样方（各9次观测）、五里墩农田样方（每个观测点环刀1次采样，ML2X土壤水分速测仪3次重复）。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： 自东向西飞行航线下LY06和LY07样方（每个样方49个观测点，每个观测点3次重复）、五里墩农田样方（选多个观测点，每个观测点3次重复）。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
\n3．地物光谱；观测仪器：北师大ASD光谱仪，350～2 500 nm。参考板信息：6月15日前使用40%参考板，之后改换成20%参考板。观测样方：五里墩农田样方。观测目标：玉米地、土壤、含水量已知的土壤等地物光谱。数据存储：数据包括原始数据和预处理后的数据。原始数据是光谱仪直接产生的二进制文件，用ViewSpecPro软件可以打开，详细观测记录见当天的光谱观测记录表；预处理得到的为反射率数据，格式为文本格式。\n
\n4．BRDF；观测仪器：北师大ASD光谱仪，350～2 500 nm；参考板信息6月15日前使用40%参考板，之后改换成20%参考板；多角度观测架包括北京师范大学旧多角度观测架一台、北师大2008年新制多角度观测架一台、遥感所新制多角度观测架一台。观测样方：五里墩农田样方。样本类型：玉米。存储方式： 本数据集包括原始数据和处理后数据，原始数据由二进制文件和记录表构成，二进制文件可由ViewSpecPro软件读取；处理后的反射率和透射率是文本格式。\n
\n5．鱼眼相机测量LAI；观测仪器：佳能EOS40D相机和佳能EF15/28鱼眼镜头以及相机支架。观测样方：五里墩农田样方I区、荒漠过渡带和杨树林。观测对象：玉米；杨树；荒漠灌丛。拍摄方法：大部分照片为从上向下拍摄，较高的作物拍摄时采取从下向上拍摄，特殊情况下，比如光线太强时，采取向下倾斜45度拍摄。具体拍摄情况见当日鱼眼相机观测记录。存储方式：该数据包括拍摄的原始照片，以及用can_eye5.0软件处理以后的结果。原始照片格式为JPG，处理结果文件格式为Excel表格。\n
\n6．LAI-2000测量LAI；观测仪器：LAI-2000。观测样方：临泽站内样方、五里墩农田样方。观测对象：玉米存储方式：在每天的记录表中记录了测量时间、视角盖度数、观测模式和重复次数，以及当天的天气情况等。LAI-2000每隔一段时间导出数据一次，以txt存放的数据，每个数据有唯一的ID号，后期处理中根据每条记录的ID号来确定数据。 本数据集包括原始数据以及后处理数据。原始数据包括Word记录表格和txt数据文件；后处理数据为Excel表格。\n
\n7．手工测量法测量LAI。观测样方：临泽站内B2、B3样方。测量方案：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。存储方式：此数据为处理后数据，文件格式为Excel表格，得到的是观测样方每天的LAI测量平均值。\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7月11日在临泽站加密观测区开展了机载红外广角双模式成像仪WiDAS（Wide-angle Infrared Dual-mode line/area Array Scanner）以及Envisat ASAR卫星同步地面观测试验。
", "ds_process_way": "1．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），ML2X土壤水分速测仪。观测样方和采样次数：荒漠东西样带（包含40个子样方，每个子样方的角点环刀各1次采样）、荒漠南北样带（包含9个子样方，每个子样方的角点环刀各1次采样）、自东向西飞行航线下LY06和LY07样方（各9次观测）、五里墩农田样方（每个观测点环刀1次采样，ML2X土壤水分速测仪3次重复）。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： 自东向西飞行航线下LY06和LY07样方（每个样方49个观测点，每个观测点3次重复）、五里墩农田样方（选多个观测点，每个观测点3次重复）。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
\n3．地物光谱；观测仪器：北师大ASD光谱仪，350～2 500 nm。参考板信息：6月15日前使用40%参考板，之后改换成20%参考板。观测样方：五里墩农田样方。观测目标：玉米地、土壤、含水量已知的土壤等地物光谱。数据存储：数据包括原始数据和预处理后的数据。原始数据是光谱仪直接产生的二进制文件，用ViewSpecPro软件可以打开，详细观测记录见当天的光谱观测记录表；预处理得到的为反射率数据，格式为文本格式。\n
\n4．BRDF；观测仪器：北师大ASD光谱仪，350～2 500 nm；参考板信息6月15日前使用40%参考板，之后改换成20%参考板；多角度观测架包括北京师范大学旧多角度观测架一台、北师大2008年新制多角度观测架一台、遥感所新制多角度观测架一台。观测样方：五里墩农田样方。样本类型：玉米。存储方式： 本数据集包括原始数据和处理后数据，原始数据由二进制文件和记录表构成，二进制文件可由ViewSpecPro软件读取；处理后的反射率和透射率是文本格式。\n
\n5．鱼眼相机测量LAI；观测仪器：佳能EOS40D相机和佳能EF15/28鱼眼镜头以及相机支架。观测样方：五里墩农田样方I区、荒漠过渡带和杨树林。观测对象：玉米；杨树；荒漠灌丛。拍摄方法：大部分照片为从上向下拍摄，较高的作物拍摄时采取从下向上拍摄，特殊情况下，比如光线太强时，采取向下倾斜45度拍摄。具体拍摄情况见当日鱼眼相机观测记录。存储方式：该数据包括拍摄的原始照片，以及用can_eye5.0软件处理以后的结果。原始照片格式为JPG，处理结果文件格式为Excel表格。\n
\n6．LAI-2000测量LAI；观测仪器：LAI-2000。观测样方：临泽站内样方、五里墩农田样方。观测对象：玉米存储方式：在每天的记录表中记录了测量时间、视角盖度数、观测模式和重复次数，以及当天的天气情况等。LAI-2000每隔一段时间导出数据一次，以txt存放的数据，每个数据有唯一的ID号，后期处理中根据每条记录的ID号来确定数据。 本数据集包括原始数据以及后处理数据。原始数据包括Word记录表格和txt数据文件；后处理数据为Excel表格。\n
\n7．手工测量法测量LAI。观测样方：临泽站内B2、B3样方。测量方案：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。存储方式：此数据为处理后数据，文件格式为Excel表格，得到的是观测样方每天的LAI测量平均值。
", "ds_quality": "数据质量良好
\n\n4．BRDF；观测仪器：北师大ASD光谱仪，350～2 500 nm；参考板信息6月15日前使用40%参考板，之后改换成20%参考板；多角度观测架包括北京师范大学旧多角度观测架一台、北师大2008年新制多角度观测架一台、遥感所新制多角度观测架一台。观测样方：五里墩农田样方。样本类型：玉米。存储方式： 本数据集包括原始数据和处理后数据，原始数据由二进制文件和记录表构成，二进制文件可由ViewSpecPro软件读取；处理后的反射率和透射率是文本格式。\n
\n5．鱼眼相机测量LAI；观测仪器：佳能EOS40D相机和佳能EF15/28鱼眼镜头以及相机支架。观测样方：五里墩农田样方I区、荒漠过渡带和杨树林。观测对象：玉米；杨树；荒漠灌丛。拍摄方法：大部分照片为从上向下拍摄，较高的作物拍摄时采取从下向上拍摄，特殊情况下，比如光线太强时，采取向下倾斜45度拍摄。具体拍摄情况见当日鱼眼相机观测记录。存储方式：该数据包括拍摄的原始照片，以及用can_eye5.0软件处理以后的结果。原始照片格式为JPG，处理结果文件格式为Excel表格。\n
\n6．LAI-2000测量LAI；观测仪器：LAI-2000。观测样方：临泽站内样方、五里墩农田样方。观测对象：玉米存储方式：在每天的记录表中记录了测量时间、视角盖度数、观测模式和重复次数，以及当天的天气情况等。LAI-2000每隔一段时间导出数据一次，以txt存放的数据，每个数据有唯一的ID号，后期处理中根据每条记录的ID号来确定数据。 本数据集包括原始数据以及后处理数据。原始数据包括Word记录表格和txt数据文件；后处理数据为Excel表格。\n
\n7．手工测量法测量LAI。观测样方：临泽站内B2、B3样方。测量方案：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。存储方式：此数据为处理后数据，文件格式为Excel表格，得到的是观测样方每天的LAI测量平均值。\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。
\n", "ds_acq_start_time": "2008-07-21 00:00:00", "ds_acq_end_time": "2008-07-21 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": 5222653, "ds_files_count": 2, "ds_format": "excel", "ds_space_res": null, "ds_time_res": "时", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "a24225c5-9d1c-4d14-9e4e-738991c6ece4.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.db1844.2022", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2022-03-15 15:09:53", "last_updated": "2025-06-30 16:06:30", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.NIEER.2021.1800", "i18n": { "en": { "title": "Heihe River Integrated Remote Sensing joint test: Airborne widas and ENVISAT ASAR ground synchronous observation data set in the encrypted observation area of Linze station (July 11, 2008)", "ds_format": "excel", "ds_source": "On July 11, 2008, the airborne wide-angle infrared dual-mode line / area array scanner (widas) and ENVISAT ASAR satellite synchronous ground observation tests were carried out in the encrypted observation area of Linze station", "ds_quality": "
Good data quality
", "ds_ref_way": "", "ds_abstract": "On July 11, 2008, the airborne wide-angle infrared dual-mode line / area array scanner (widas) and ENVISAT ASAR satellite synchronous ground observation test were carried out in the encrypted observation area of Linze station. The observation contents include soil moisture, surface radiation temperature, ground object spectrum, BRDF, LAI-2000 measurement Lai, fish eye camera measurement Lai, manual measurement Lai, etc.\n
\nWidas 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). ENVISAT ASAR data is AP mode, VV / VH polarization combination mode, and the transit time is about 11:26bjt.\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 sampling times: Desert East-West sample zone (including 40 sub quadrats, and each sub quadrat's corner point ring knife is sampled once), desert north-south sample zone (including 9 sub quadrats, and each sub quadrat's corner point ring knife is sampled once), ly06 and ly07 quadrats under the East-West flight route (9 observations each), wulidun farmland quadrat (each observation point ring knife is sampled once, Ml2x soil moisture meter (3 repetitions). The pretreatment data is soil volume water content. Data storage: Excel.\n
\n2. Surface radiation temperature observation; 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 quadrats and sampling times: ly06 and ly07 quadrats (49 observation points for each quadrat, 3 repetitions for each observation point) and wulidun farmland quadrats (multiple observation points are selected, 3 repetitions for each observation point). 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. Ground feature spectrum; Observation instrument: ASD spectrometer of Beijing Normal University, 350 ~ 2500 nm. Reference plate information: use 40% reference plate before June 15, and then change to 20% reference plate. Observation quadrat: wulidun farmland quadrat. Observation target: spectrum of surface features such as corn field, soil and soil with known water content. Data storage: data includes original data and preprocessed data. The original data is the binary file directly generated by the spectrometer, which can be opened with viewspecpro software. For detailed observation records, see the spectral observation record table of the day; The reflectance data obtained by preprocessing is in text format.\n
\n4．BRDF； Observation instrument: ASD spectrometer of Beijing Normal University, 350 ~ 2500 nm; Reference plate information: 40% reference plate shall be used before June 15, and then replaced with 20% reference plate; The multi angle observation frame includes an old multi angle observation frame of Beijing Normal University, a new multi angle observation frame made by Beijing Normal University in 2008 and a new multi angle observation frame made by Remote Sensing Institute. Observation quadrat: wulidun farmland quadrat. Sample type: corn. Storage mode: this data set includes original data and processed data. The original data is composed of binary files and record tables, and the binary files can be read by viewspecpro software; The processed reflectivity and transmittance are in text format.\n
\n5. Fish eye camera to measure Lai; Observation instruments: Canon eos40d camera, Canon ef15 / 28 fisheye lens and camera support. Observation quadrat: wulidun farmland quadrat area I, desert transition zone and poplar forest. Observation object: corn; Poplar; Desert shrub. Shooting method: most photos are taken from top to bottom. For higher crops, they are taken from bottom to top. Under special circumstances, such as when the light is too strong, they are taken at a downward tilt of 45 degrees. See the fish eye camera observation record of that day for the specific shooting conditions. Storage method: the data includes the original photos taken and can_ The results after eye5.0 software processing. The original photo format is JPG, and the processing result file format is excel.\n
\n6. LAI-2000 measuring Lai; Observation instrument: LAI-2000. Observation quadrat: quadrat in Linze station and farmland quadrat in wulidun. Observation object: corn storage method: record the measurement time, visual angle coverage, observation mode and repetition times, as well as the weather conditions of the day in the daily record table. LAI-2000 exports data every other period of time. The data stored in txt has a unique ID number. In post-processing, the data is determined according to the ID number of each record. This data set includes original data and post-processing data. The original data includes word record form and TXT data file; The post-processing data is excel.\n
\n7. Measure Lai by manual measurement. Observation quadrat: B2 and B3 quadrats in Linze station. Measurement scheme: 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. Storage method: this data is processed data, and the file format is excel table. The average value of Lai measurement of observation quadrat every day is obtained.\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": "\n1. Soil moisture observation; Observation target: 0-5cm topsoil. Observation instrument: ring knife (volume 50cm ^ 3), ml2x soil moisture rapid tester. Observation quadrats and sampling times: Desert East-West sample zone (including 40 sub quadrats, and each sub quadrat's corner point ring knife is sampled once), desert north-south sample zone (including 9 sub quadrats, and each sub quadrat's corner point ring knife is sampled once), ly06 and ly07 quadrats under the East-West flight route (9 observations each), wulidun farmland quadrat (each observation point ring knife is sampled once, Ml2x soil moisture meter (3 repetitions). The pretreatment data is soil volume water content. Data storage: Excel.\n
\n2. Surface radiation temperature observation; 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 quadrats and sampling times: ly06 and ly07 quadrats (49 observation points for each quadrat, 3 repetitions for each observation point) and wulidun farmland quadrats (multiple observation points are selected, 3 repetitions for each observation point). 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. Ground feature spectrum; Observation instrument: ASD spectrometer of Beijing Normal University, 350 ~ 2500 nm. Reference plate information: use 40% reference plate before June 15, and then change to 20% reference plate. Observation quadrat: wulidun farmland quadrat. Observation target: spectrum of surface features such as corn field, soil and soil with known water content. Data storage: data includes original data and preprocessed data. The original data is the binary file directly generated by the spectrometer, which can be opened with viewspecpro software. For detailed observation records, see the spectral observation record table of the day; The reflectance data obtained by preprocessing is in text format.\n
\n4．BRDF； Observation instrument: ASD spectrometer of Beijing Normal University, 350 ~ 2500 nm; Reference plate information: 40% reference plate shall be used before June 15, and then replaced with 20% reference plate; The multi angle observation frame includes an old multi angle observation frame of Beijing Normal University, a new multi angle observation frame made by Beijing Normal University in 2008 and a new multi angle observation frame made by Remote Sensing Institute. Observation quadrat: wulidun farmland quadrat. Sample type: corn. Storage mode: this data set includes original data and processed data. The original data is composed of binary files and record tables, and the binary files can be read by viewspecpro software; The processed reflectivity and transmittance are in text format.\n
\n5. Fish eye camera to measure Lai; Observation instruments: Canon eos40d camera, Canon ef15 / 28 fisheye lens and camera support. Observation quadrat: wulidun farmland quadrat area I, desert transition zone and poplar forest. Observation object: corn; Poplar; Desert shrub. Shooting method: most photos are taken from top to bottom. For higher crops, they are taken from bottom to top. Under special circumstances, such as when the light is too strong, they are taken at a downward tilt of 45 degrees. See the fish eye camera observation record of that day for the specific shooting conditions. Storage method: the data includes the original photos taken and can_ The results after eye5.0 software processing. The original photo format is JPG, and the processing result file format is excel.\n
\n6. LAI-2000 measuring Lai; Observation instrument: LAI-2000. Observation quadrat: quadrat in Linze station and farmland quadrat in wulidun. Observation object: corn storage method: record the measurement time, visual angle coverage, observation mode and repetition times, as well as the weather conditions of the day in the daily record table. LAI-2000 exports data every other period of time. The data stored in txt has a unique ID number. In post-processing, the data is determined according to the ID number of each record. This data set includes original data and post-processing data. The original data includes word record form and TXT data file; The post-processing data is excel.\n
\n7. Measure Lai by manual measurement. Observation quadrat: B2 and B3 quadrats in Linze station. Measurement scheme: 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. Storage method: this data is processed data, and the file format is excel table. The average value of Lai measurement of observation quadrat every day is obtained.
", "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": [ "土壤水分", "ML2X土壤水分速测仪", "红外广角双模式成像仪WiDAS", "ASD光谱仪", "LAI", "多角度观测架", "环刀", "地表辐射温度", "反射率", "鱼眼相机", "BRDF", "地物光谱", "ASAR" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "黑河流域", "中游干旱区水文试验区", "临泽站加密观测区" ], "ds_time_tags": [ 2008 ], "ds_contributors": [ { "true_name": "孙青松", "email": "qso_sun@qq.com", "work_for": "北京师范大学", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "孙青松", "email": "qso_sun@qq.com", "work_for": "北京师范大学", "country": "中国" } ], "ds_managers": [ { "true_name": "孙青松", "email": "qso_sun@qq.com", "work_for": "北京师范大学", "country": "中国" } ], "category": "遥感及产品" }