对红外温度数据做了定标；原纪录中A样区的红外温度计编号为冯磊-#3，缺少对应的标定系数，因此无法进行红外温度定标；B样区的航带10没有数据记录；C样区的航带8数据的line7和120m样方数据的line5没有记录结束时间。\n
\n在盈科绿洲与花寨子荒漠加密观测区利用CE318太阳分光光度计获得了红外广角双模式成像仪WiDAS（Wide-angle Infrared Dual-mode line/area Array Scanner）飞行、成像光谱仪OMIS-2飞行同步，TM、ASTER、CHRIS和Hyperion等卫星同步、以及常规观测的大气参数数据，为进行各个遥感影像和地面测量数据的大气纠正提供重要大气参数。\n
\n测量内容：CE318太阳分光光度计通过直接太阳辐射测量数据，可以反演出非水汽通道的光学厚度、瑞丽散射、气溶胶光学厚度，水汽通道936nm测量数据可以获得大气气柱的水汽含量。根据需要，其数据可以获得550nm处的各种参数，从而在MODTRAN或者6S等软件的辅助下获得水平能见度。\n
\n试验仪器：采用了北京师范大学和中科院遥感所CE318各一台，其中北京师范大学CE318，可提供1020nm、936nm、870nm、670nm和440nm共5个波段的光学厚度，可以利用936nm测量数据反演大气柱水汽含量；中科院遥感所CE318一台，可提供1640nm、1020nm、936nm、870nm、670nm、550nm、440nm、380nm和340nm共9个波段的光学厚度，可以利用936nm测量数据反演大气柱水汽含量。 \n
\n测量时间：两台仪器在盈科绿洲与花寨子荒漠加密观测区、张掖市加密观测区共进行了15天24次观测，时间分别为：2008-05-20，2008-05-23，2008-05-25，2008-05-27，2008-06-04，2008-06-06，2008-06-16，2008-06-20，2008-06-22，2008-06-23，2008-06-27，2008-06-29，2008-07-01，2008-07-07，2008-07-11，并与红外广角双模式成像仪WiDAS（Wide-angle Infrared Dual-mode line/area Array Scanner）航空飞行、成像光谱仪OMIS-2航空飞行同步，TM、ASTER、CHRIS和Hyperion等卫星进行了同步观测。 \n
\n数据处理：影响CE318数据精度的因素：当地大气压、仪器的定标参数和各个转换因子。 （1）预处理数据在运算过程中，大气压采用了大气压与高程经验关系获得，大部分与实际不符，因此，要得到精确的反演结果，需要同步的气象站数据； （2）仪器定标数据的误差引起反演结果的系统误差，需要组织进行野外定标或者仪器室内定标； （3）在反演水汽通道的气溶胶光学厚度以及水汽含量时需要各个转换因子，转换因子都为经验参数，实用性需要进一步验证。 室外定标：在大气参数稳定情况下，获取大气质量数在3-7之间的测量数据，利用Langly原理进行定标； 室内定标：标准光源。\n
\n数据内容：\n
\n（1） 原始数据以CE318特有文件格式.k7存储，可用ASTPWin软件打开，同时附带说明文件ReadMe.txt。\n
\n（2） 预处理文件：包括利用原始数据反演获得光学厚度、瑞丽散射、气溶胶光学厚度、水平能见度和近地表大气温度，以及参与计算的太阳方位角、天顶角、日地距离修正因子和大气柱质量数。数据预处理结果文件包括两部分：数据处理说明和数据处理结果。前者介绍数据处理的基本原理；后者给出了数据的处理结果，包括“几何位置与各个通道总的光学厚度”和“各个通道的瑞利散射和气溶胶光学厚度”两小部分。
", "ds_source": "对红外温度数据做了定标；原纪录中A样区的红外温度计编号为冯磊-#3，缺少对应的标定系数，因此无法进行红外温度定标；B样区的航带10没有数据记录；C样区的航带8数据的line7和120m样方数据的line5没有记录结束时间。\n
CE318太阳分光光度计通过直接太阳辐射测量数据，可以反演出非水汽通道的光学厚度、瑞丽散射、气溶胶光学厚度，水汽通道936nm测量数据可以获得大气气柱的水汽含量。根据需要，其数据可以获得550nm处的各种参数，从而在MODTRAN或者6S等软件的辅助下获得水平能见度。
\n试验仪器：采用了北京师范大学和中科院遥感所CE318各一台，其中北京师范大学CE318，可提供1020nm、936nm、870nm、670nm和440nm共5个波段的光学厚度，可以利用936nm测量数据反演大气柱水汽含量；中科院遥感所CE318一台，可提供1640nm、1020nm、936nm、870nm、670nm、550nm、440nm、380nm和340nm共9个波段的光学厚度，可以利用936nm测量数据反演大气柱水汽含量。
\n测量时间：两台仪器在盈科绿洲与花寨子荒漠加密观测区、张掖市加密观测区共进行了15天24次观测，时间分别为：2008-05-20，2008-05-23，2008-05-25，2008-05-27，2008-06-04，2008-06-06，2008-06-16，2008-06-20，2008-06-22，2008-06-23，2008-06-27，2008-06-29，2008-07-01，2008-07-07，2008-07-11，并与红外广角双模式成像仪WiDAS（Wide-angle Infrared Dual-mode line/area Array Scanner）航空飞行、成像光谱仪OMIS-2航空飞行同步，TM、ASTER、CHRIS和Hyperion等卫星进行了同步观测。
", "ds_process_way": "影响CE318数据精度的因素：当地大气压、仪器的定标参数和各个转换因子。
（1）预处理数据在运算过程中，大气压采用了大气压与高程经验关系获得，大部分与实际不符，因此，要得到精确的反演结果，需要同步的气象站数据； \n
（2）仪器定标数据的误差引起反演结果的系统误差，需要组织进行野外定标或者仪器室内定标； \n
（3）在反演水汽通道的气溶胶光学厚度以及水汽含量时需要各个转换因子，转换因子都为经验参数，实用性需要进一步验证。 室外定标：在大气参数稳定情况下，获取大气质量数在3-7之间的测量数据，利用Langly原理进行定标； 室内定标：标准光源。\n
影响CE318数据精度的因素：当地大气压、仪器的定标参数和各个转换因子。 \n\n（1）预处理数据在运算过程中，大气压采用了大气压与高程经验关系获得，大部分与实际不符，因此，要得到精确的反演结果，需要同步的气象站数据； \n
\n（2）仪器定标数据的误差引起反演结果的系统误差，需要组织进行野外定标或者仪器室内定标； \n
\n（3）在反演水汽通道的气溶胶光学厚度以及水汽含量时需要各个转换因子，转换因子都为经验参数，实用性需要进一步验证。 室外定标：在大气参数稳定情况下，获取大气质量数在3-7之间的测量数据，利用Langly原理进行定标； 室内定标：标准光源。
", "ds_quality": "数据质量良好
", "ds_acq_start_time": "2008-05-20 00:00:00", "ds_acq_end_time": "2008-07-11 00:00:00", "ds_acq_place": "黑河流域, 花寨子荒漠加密观测区, 中游干旱区水文试验区, 盈科绿洲加密观测区, 张掖市加密观测区", "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": 4857637, "ds_files_count": 2, "ds_format": "txt,word", "ds_space_res": null, "ds_time_res": "日", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "a2688a0b-ce13-4a7c-a14e-3974df6d0e47.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.db1787.2022", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2022-03-14 16:43:53", "last_updated": "2023-08-22 17:10:25", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.NIEER.2021.1807", "i18n": { "en": { "title": "Joint experiment of Heihe comprehensive remote sensing: observation data set of solar spectrophotometer in dense observation area of Yingke oasis and huazhaizi desert", "ds_format": "txt,word", "ds_source": "The infrared temperature data are calibrated; In the original record, the number of infrared thermometer in sample a area is Feng Lei -#3, which lacks the corresponding calibration coefficient, so the infrared temperature calibration cannot be carried out; There is no data record for flight belt 10 in sample area B; The end time is not recorded in line7 of flight belt 8 data and line5 of 120m quadrat data in sample area C.\n
CE318 solar spectrophotometer can inverse the optical thickness, Rayleigh scattering and aerosol optical thickness of non water vapor channel through the direct solar radiation measurement data. The water vapor content of atmospheric gas column can be obtained from the 936nm measurement data of water vapor channel. According to the needs, the data can obtain various parameters at 550nm, so as to obtain horizontal visibility with the help of software such as MODTRAN or 6S
\nTest instrument: one CE318 of Beijing Normal University and one CE318 of Institute of remote sensing of Chinese Academy of sciences are adopted. Among them, CE318 of Beijing Normal University can provide the optical thickness of five bands: 1020nm, 936nm, 870nm, 670nm and 440nm, and the water vapor content of atmospheric column can be retrieved by using 936nm measurement data; CE318, Institute of remote sensing, Chinese Academy of Sciences, can provide the optical thickness of 9 bands: 1640nm, 1020nm, 936nm, 870nm, 670nm, 550nm, 440nm, 380nm and 340nm, and can retrieve the water vapor content of the atmospheric column using 936nm measurement data
\nMeasurement time: the two instruments carried out 24 observations in 15 days in Yingke oasis and huazhaizi desert intensive observation area and Zhangye intensive observation area, respectively: 2008-05-202008-05-232008-05-252008-05-272008-06-042008-06-062008-06-162008-06-202008-06-222008-06-232008-06-272008-06-292008-07-01, 2008-07-072008-07-11, It was synchronized with the wide-angle infrared dual-mode line / area array scanner (widas), imaging spectrometer omis-2, TM, aster, Chris, Hyperion and other satellites.", "ds_quality": "
Good data quality
", "ds_ref_way": "", "ds_abstract": "Widas (wide angle infrared dual-mode line / area array) was obtained by CE318 solar spectrophotometer in Yingke oasis and huazhaizi desert intensive observation area Scanner, omis-2, TM, aster, Chris and Hyperion, as well as conventional observation of atmospheric parameters provide important atmospheric parameters for atmospheric correction of various remote sensing images and ground measurement data. The original data is stored in CE318 special file format. K7 and can be opened by astpwin software. The preprocessing file includes the retrieval of optical thickness, Rayleigh scattering, aerosol optical thickness, horizontal visibility and near surface atmospheric temperature from the original data, as well as the solar azimuth, zenith angle, sun earth distance correction factor and atmospheric column mass involved in the calculation. Data preprocessing result file includes two parts: data processing description and data processing result. The former introduces the basic principle of data processing, while the latter gives the results of data processing, including \"geometric position and total optical thickness of each channel\" and \"Rayleigh scattering and aerosol optical thickness of each channel\".
", "ds_time_res": "日", "ds_acq_place": "Heihe River Basin, intensive observation area of huazhaizi desert, hydrological test area of arid area in the middle reaches, intensive observation area of Yingke oasis and intensive observation area of Zhangye City", "ds_space_res": "", "ds_projection": "", "ds_process_way": "Factors affecting CE318 data accuracy: local atmospheric pressure, instrument calibration parameters and various conversion factors
（ 1) During the calculation of preprocessed data, the atmospheric pressure is obtained by using the empirical relationship between atmospheric pressure and elevation, which is mostly inconsistent with the reality. Therefore, in order to obtain accurate inversion results, synchronous meteorological station data is required;\n
（ 2) The error of instrument calibration data causes the systematic error of inversion results, so it is necessary to organize field calibration or instrument indoor calibration;\n
（ 3) The inversion of aerosol optical thickness and water vapor content in water vapor channel requires various conversion factors. The conversion factors are empirical parameters, and their practicability needs to be further verified. Outdoor calibration: under the condition of stable atmospheric parameters, obtain the measurement data with atmospheric mass number between 3-7, and calibrate with langly principle; Indoor calibration: standard light source.\n
& emsp; Factors affecting CE318 data accuracy: local atmospheric pressure, instrument calibration parameters and various conversion factors.\n\n（ 1) During the calculation of preprocessed data, the atmospheric pressure is obtained by using the empirical relationship between atmospheric pressure and elevation, which is mostly inconsistent with the reality. Therefore, in order to obtain accurate inversion results, synchronous meteorological station data is required;\n
\n（ 2) The error of instrument calibration data causes the systematic error of inversion results, so it is necessary to organize field calibration or instrument indoor calibration;\n
\n（ 3) The inversion of aerosol optical thickness and water vapor content in water vapor channel requires various conversion factors. The conversion factors are empirical parameters, and their practicability needs to be further verified. Outdoor calibration: under the condition of stable atmospheric parameters, obtain the measurement data with atmospheric mass number between 3-7, and calibrate with langly principle; Indoor calibration: standard light source.", "ds_ref_instruction": "This data is generated by \"Heihe integrated remote sensing joint test\". When using the data, users should clearly state the source of the data in the text and quote the reference method provided by this metadata in the reference part." } }, "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": [ "气溶胶", "气溶胶光学深度/厚度", "红外广角双模式成像仪WiDAS", "太阳分光光度计", "大气水汽", "地面遥感" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "黑河流域", "张掖市加密观测区", "盈科绿洲加密观测区", "中游干旱区水文试验区", "花寨子荒漠加密观测区" ], "ds_time_tags": [ 2008 ], "ds_contributors": [ { "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": "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_managers": [ { "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" } ], "category": "遥感及产品" }