2008年5月25日在盈科绿洲与花寨子荒漠加密观测区进行了EO-1 Hyperion同步观测，地面测量数据包括ASD光谱仪数据、LAI、植被覆盖度、土壤剖面水分与温度、CE318太阳分光光度计大气参数。\n
\n 测量内容：
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（1）CE318太阳分光光度计大气参数。为利用法国CIMEL公司生产的太阳分光光度计测量得到的大气参数。测量地点为工行度假村办公室楼顶。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、瑞利散射、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，水平能见度也可从CE318数据导出。本次测量采用了北京师范大学的CE318，其可提供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。 本数据包括原始数据和处理后的大气数据。原始数据以CE318特有文件格式*.k7存储，可用ASTPWin软件打开，并附带说明文件ReadMe.txt ；处理后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。 处理数据以Excel格式保存。
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（2）ASD光谱仪数据。利用ASD（Analytical Sepctral Devices）光谱仪测量盈科绿洲玉米地光谱数据。测量仪器为北京大学的光谱仪（350-2500nm），采样方式为冠层垂直观测和条带观测；数据包括原始数据与记录数据、处理后的反射率数据。 本数据的原始数据为ASD标准格式，可利用其自带软件ViewSpec打开。处理后的反射率数据以Excel格式保存。
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（3）土壤水分与土壤温度等数据，包括① 花寨子荒漠样地1和防风林（位置见具体数据）0-40cm的土壤水分和土壤温度。土壤水分测量利用换刀取样称重法，土壤温度用热电偶测得；②在盈科绿洲玉米地测量了0-100cm土壤剖面水分和温度数据。数据以Excel保存。
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（4）LAI等冠层结构数据，测量样地为盈科绿洲玉米地。测量方法为：利用皮尺、卷尺、直尺测量在盈科绿洲玉米地测量玉米和小麦每株各叶片的最大长度和最大宽度。利用室内扫描真实叶面积与最大长度和最小宽度的转换系数，获得叶面积指数。本数据以Excel保存。
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（5）植被覆盖度数据。测量对象为花寨子玉米地的玉米与小麦、花寨子荒漠样地1和花寨子荒漠样地2的植被（红砂）。测量方式：利用自制覆盖度观测仪进行测量，相机在距地面2.5m至3.5m高度拍摄地面照片，同时在照片范围内放置长度已知的物体（皮尺、竹竿等）来标定照片的面积大小，利用GPS确定照片拍摄的位置，并记录下与覆盖度、拍摄环境相关的信息。覆盖度原始数据包括覆盖度光学照片与覆盖度数据记录两部分。利用LAB色度空间变换技术，提取光学照片绿色植被覆盖度（参考覆盖度处理数据）。
\n
本数据包括经过LAB色度空间变换提取的植被影像和植被覆盖度数据。植被覆盖度数据可由记事本打开。
", "ds_source": "2008年5月25日在盈科绿洲与花寨子荒漠加密观测区进行了EO-1 Hyperion同步观测，地面测量数据包括ASD光谱仪数据、LAI、植被覆盖度、土壤剖面水分与温度、CE318太阳分光光度计大气参数。
", "ds_process_way": "测量内容：
\n（1）CE318太阳分光光度计大气参数。为利用法国CIMEL公司生产的太阳分光光度计测量得到的大气参数。测量地点为工行度假村办公室楼顶。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、瑞利散射、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，水平能见度也可从CE318数据导出。本次测量采用了北京师范大学的CE318，其可提供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。
\n（2）ASD光谱仪数据。利用ASD（Analytical Sepctral Devices）光谱仪测量盈科绿洲玉米地光谱数据。测量仪器为北京大学的光谱仪（350-2500nm），采样方式为冠层垂直观测和条带观测；数据包括原始数据与记录数据、处理后的反射率数据。
\n（3）土壤水分与土壤温度等数据，包括① 花寨子荒漠样地1和防风林（位置见具体数据）0-40cm的土壤水分和土壤温度。土壤水分测量利用换刀取样称重法，土壤温度用热电偶测得；②在盈科绿洲玉米地测量了0-100cm土壤剖面水分和温度数据。
\n（4）LAI等冠层结构数据，测量样地为盈科绿洲玉米地。测量方法为：利用皮尺、卷尺、直尺测量在盈科绿洲玉米地测量玉米和小麦每株各叶片的最大长度和最大宽度。利用室内扫描真实叶面积与最大长度和最小宽度的转换系数，获得叶面积指数。
\n（5）植被覆盖度数据。测量对象为花寨子玉米地的玉米与小麦、花寨子荒漠样地1和花寨子荒漠样地2的植被（红砂）。测量方式：利用自制覆盖度观测仪进行测量，相机在距地面2.5m至3.5m高度拍摄地面照片，同时在照片范围内放置长度已知的物体（皮尺、竹竿等）来标定照片的面积大小，利用GPS确定照片拍摄的位置，并记录下与覆盖度、拍摄环境相关的信息。覆盖度原始数据包括覆盖度光学照片与覆盖度数据记录两部分。利用LAB色度空间变换技术，提取光学照片绿色植被覆盖度（参考覆盖度处理数据）。
", "ds_quality": "数据质量良好
", "ds_acq_start_time": "2008-05-25 00:00:00", "ds_acq_end_time": "2008-05-26 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", "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": 116865142, "ds_files_count": 2, "ds_format": "excel", "ds_space_res": null, "ds_time_res": "时", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "bae5d8ec-bff8-4a2d-a79e-94146060fa32.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.db1755.2022", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2022-03-14 09:36:26", "last_updated": "2023-08-22 15:01:24", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.NIEER.2021.1825", "i18n": { "en": { "title": "Integrated remote sensing joint experiment of Heihe River: EO-1 Hyperion ground synchronous observation data set of Yingke oasis and huazhaizi desert intensive observation area (May 25, 2008)", "ds_format": "excel", "ds_source": "On May 25, 2008, EO-1 Hyperion synchronous observation was carried out in Yingke oasis and huazhaizi desert intensive observation area. The ground measurement data include ASD spectrometer data, Lai, vegetation coverage, soil profile moisture and temperature, and CE318 solar spectrophotometer atmospheric parameters.", "ds_quality": "
Good data quality
", "ds_ref_way": "", "ds_abstract": "On May 25, 2008, EO-1 Hyperion synchronous observation was carried out in Yingke oasis and huazhaizi desert intensive observation area. The ground measurement data include ASD spectrometer data, Lai, vegetation coverage, soil profile moisture and temperature, and CE318 solar spectrophotometer atmospheric parameters.\nMeasurement content:\n(1) CE318 solar spectrophotometer atmospheric parameters. In order to use the atmospheric parameters measured by the solar spectrophotometer produced by cimel company in France. The survey location is the roof of ICBC resort office. CE318 solar spectrophotometer can inverse the optical thickness, Rayleigh scattering and aerosol optical thickness of non water vapor channel through direct solar radiation measurement data. The water vapor content of atmospheric column can be obtained from 936nm measurement data of water vapor channel, and the horizontal visibility can also be derived from CE318 data. CE318 of Beijing Normal University is used in this measurement, which can provide the optical thickness of five bands: 1020nm, 936nm, 870nm, 670nm and 440nm, and the water vapor content of the atmospheric column can be retrieved from the 936nm measurement data. This data includes original data and processed atmospheric data. The original data is stored in CE318 unique file format *. K7, which can be opened with astpwin software, and the description file readme.txt is attached; The processed documents include the optical thickness, Rayleigh scattering, aerosol optical thickness, horizontal visibility and near surface atmospheric temperature retrieved from the original data, as well as the solar azimuth, zenith angle, sun earth distance correction factor and atmospheric column mass number involved in the calculation. The processing data is saved in Excel format.\n(2) ASD spectrometer data. ASD (analytical Sepctral devices) spectrometer was used to measure the spectral data of corn field in Yingke oasis. The measuring instrument is the spectrometer of Peking University (350-2500 nm), and the sampling methods are canopy vertical observation and strip observation; The data includes original data, recorded data and processed reflectance data. The original data of this data is in ASD standard format and can be opened with its own software viewspec. The processed reflectance data is saved in Excel format.\n(3) Soil moisture and soil temperature data, including ① soil moisture and soil temperature of 0-40cm in huazhaizi desert sample plot 1 and windbreak forest (see specific data for location). The soil moisture is measured by changing the tool, sampling and weighing method, and the soil temperature is measured by thermocouple; ② The water and temperature data of 0-100 cm soil profile were measured in the corn field of Yingke oasis. The data is saved in Excel.\n(4) Lai and other canopy structure data, the measured sample plot is Yingke oasis corn field. The measurement method is to measure the maximum length and width of each leaf of corn and wheat in Yingke oasis corn field with tape measure, tape measure and ruler. The conversion coefficients between the real leaf area and the maximum length and minimum width were used to obtain the leaf area index. This data is saved in Excel.\n(5) Vegetation coverage data. The measured objects are corn and wheat in huazhaizi corn field, vegetation (red sand) in huazhaizi desert sample 1 and huazhaizi desert sample 2. Measurement method: the self-made coverage observer is used for measurement. The camera takes ground photos at a height of 2.5m to 3.5m from the ground. At the same time, objects with known length (tape measure, bamboo pole, etc.) are placed within the photo range to calibrate the area of the photos. The location of the photos is determined by GPS, and the information related to coverage and shooting environment is recorded. The original coverage data includes coverage optical photos and coverage data records. The green vegetation coverage of optical photos (reference coverage processing data) is extracted by lab chromaticity space transformation technology.\nThis data includes vegetation image and vegetation coverage data extracted by lab chromaticity space transformation. Vegetation coverage data can be opened from Notepad.
", "ds_time_res": "时", "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", "ds_space_res": "", "ds_projection": "", "ds_process_way": "Measurement content:
\n（ 1) CE318 solar spectrophotometer atmospheric parameters. In order to use the atmospheric parameters measured by the solar spectrophotometer produced by cimel company in France. The survey location is the roof of ICBC resort office. CE318 solar spectrophotometer can inverse the optical thickness, Rayleigh scattering and aerosol optical thickness of non water vapor channel through direct solar radiation measurement data. The water vapor content of atmospheric column can be obtained from 936nm measurement data of water vapor channel, and the horizontal visibility can also be derived from CE318 data. CE318 of Beijing Normal University is used in this measurement, which can provide the optical thickness of five bands: 1020nm, 936nm, 870nm, 670nm and 440nm, and the water vapor content of the atmospheric column can be retrieved from the 936nm measurement data\n
（ 2) ASD spectrometer data. ASD (analytical Sepctral devices) spectrometer was used to measure the spectral data of corn field in Yingke oasis. The measuring instrument is the spectrometer of Peking University (350-2500 nm), and the sampling methods are canopy vertical observation and strip observation; The data includes original data, recorded data and processed reflectance data\n
（ 3) Soil moisture and soil temperature data, including ① soil moisture and soil temperature of 0-40cm in huazhaizi desert sample plot 1 and windbreak forest (see specific data for location). The soil moisture is measured by changing the tool, sampling and weighing method, and the soil temperature is measured by thermocouple; ② The water and temperature data of 0-100 cm soil profile were measured in the corn field of Yingke oasis\n
（ 4) Lai and other canopy structure data, the measured sample plot is Yingke oasis corn field. The measurement method is to measure the maximum length and width of each leaf of corn and wheat in Yingke oasis corn field with tape measure, tape measure and ruler. The conversion coefficients between the real leaf area and the maximum length and minimum width were used to obtain the leaf area index\n
（ 5) Vegetation coverage data. The measured objects are corn and wheat in huazhaizi corn field, vegetation (red sand) in huazhaizi desert sample 1 and huazhaizi desert sample 2. Measurement method: the self-made coverage observer is used for measurement. The camera takes ground photos at a height of 2.5m to 3.5m from the ground. At the same time, objects with known length (tape measure, bamboo pole, etc.) are placed within the photo range to calibrate the area of the photos. The location of the photos is determined by GPS, and the information related to coverage and shooting environment is recorded. The original coverage data includes coverage optical photos and coverage data records. The green vegetation coverage of optical photos (reference coverage processing data) is extracted by lab chromaticity space transformation technology.", "ds_ref_instruction": "\r\nThis 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": "https://creativecommons.org/licenses/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": [ "航天遥感", "土壤", "微波遥感", "冠层光谱", "叶面积指数", "地物光谱仪（ASD）", "植被", "土壤温度", "地面遥感", "植被盖度", "土壤湿度", "水分含量", "太阳分光光度计" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "黑河流域", "盈科绿洲加密观测区", "花寨子荒漠加密观测区", "中游干旱区水文试验区" ], "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" }, { "true_name": "盖迎春", "email": "gtw@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "舒乐乐", "email": "lele.shu@gmail.com", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "王建华 ", "email": "jhwang@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "徐瑱", "email": "", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "李丽", "email": "lili3982@radi.ac.cn", "work_for": "中国科学院遥感与数字地球研究所遥感科学国家重点实验室", "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" }