{
    "created": "2020-01-09 01:23:32",
    "updated": "2026-05-09 02:03:15",
    "id": "2a0f6f98-c96c-45ca-8031-820e9b404512",
    "version": 2,
    "ds_topic": null,
    "title_cn": "黑河综合遥感联合试验：盈科绿洲与花寨子荒漠加密观测区Landsat TM地面同步观测数据集（2008年5月20日）",
    "title_en": "Integrated remote sensing joint experiment of Heihe River: Landsat TM ground synchronous observation data set of Yingke oasis and huazhaizi desert intensive observation area (May 20, 2008)",
    "ds_abstract": "<p>&emsp;&emsp;2008年5月20日在盈科绿洲加密观测区与花寨子荒漠加密观测区进行了Landsat TM同步观测，地面数据包括ASD光谱仪数据、LAI、光合速率、反照率、辐射温度、覆盖度和CE318太阳分光光度计大气参数数据。\n</p>\n<p>&emsp;&emsp;测量内容：\n</p>\n<p>&emsp;&emsp;（1）LAI数据等结构参数，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。这天数据没有利用激光叶面积仪测量。本数据以Excel保存。\n</p>\n<p>&emsp;&emsp;（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、花寨子荒漠样地2的光谱数据。其中，盈科绿洲玉米地测量仪器为中国科学院遥感应用研究所的光谱仪（350-2500nm），采样方式为冠层垂直观测和条带观测；花寨子荒漠样地2测量仪器为北京农科院光谱仪（350-1603nm），采样方式为植被（红砂）和裸土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。\n</p>\n<p>&emsp;&emsp;（3）手持式红外温度计测量的辐射温度数据。测量对象为盈科绿洲玉米地、花寨子荒漠样地2的温度数据。其中，盈科绿洲玉米地测量仪器为遥感所、北师大、地理所手持辐射计各一台，采样方式为冠层垂直观测和条带观测；花寨子荒漠样地2的测量仪器为三台手持式红外温度计，采样方式为植被（红砂）和裸土垂直观测（定点）和条带观测。数据包括原始数据与记录数据、经过黑体定标后的温度数据。本数据的原始数据为Word的doc格式。处理后数据以Excel格式保存。\n</p>\n<p>&emsp;&emsp;（4）热像仪ThermaCAM SC2000测量得到的辐射温度。测量对象为盈科绿洲玉米地内的玉米、小麦和裸土的辐射温度。仪器获取视场角为24°×18°组分辐射温度数据，并同时拍摄同视场的光学照片。热像仪拍摄高度约为1.2m。 本数据包括原始数据与记录、仪器黑体定标数据。原始数据可利用配套处理软件ThermaCAM Researcher 2001，也可将数据在该软件中转换为其他格式，自行编程读取。仪器黑体定标数据以Excel格式存储。\n</p>\n<p>&emsp;&emsp;（5）LI-6400光合仪数据，测量对象为盈科绿洲玉米地玉米和小麦的光合作用等。操作过程请参考联合试验操作规范。其数据包括原始数据和处理数据。 原始数据以仪器自定义格式保存，可用记事本等常用软件打开。处理数据以Excel保存。数据参数见数据文件。 \n</p>\n<p>&emsp;&emsp;（6）反照率数据，测量对象为盈科绿洲玉米地内的行播玉米。测量仪器包含短波表的上表电压值，下表电压值，后经过表的敏感系数转换成反照率数据。下表视场半径R与探头高度H的关系为：R =10H。本数据以Excel存储。\n</p>\n<p>&emsp;&emsp;（7）CE318太阳分光光度计大气参数数据。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。测量地点为花寨子荒漠样地2。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、瑞利散射、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。数据结果以Excel格式保存。\n</p>\n<p>&emsp;&emsp;（8）植被覆盖度数据。测量对象为花寨子荒漠样地2红砂。测量方式：利用自制覆盖度观测仪，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LAS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）。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。\n</p>\n<p>&emsp;&emsp;（9）固定自记点温计测量的辐射温度。测量样地为花寨子荒漠样地2。该样地有2台仪器，测量对象为植被（红砂）冠层和荒漠裸土。仪器的视场角约为10°，垂直向下观测，采样间隔为1min。架设高度见数据文档。仪器设定比辐射率为0.95。本数据包括原始数据与经过黑体定标、比辐射率纠正后的处理数据。均以Excel格式保存。</p>",
    "ds_source": "<p>&emsp;&emsp;2008年5月20日在盈科绿洲加密观测区与花寨子荒漠加密观测区进行了Landsat TM同步观测。</p>",
    "ds_process_way": "<p>&emsp;&emsp;（1）LAI数据等结构参数，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。这天数据没有利用激光叶面积仪测量。本数据以Excel保存。</p>\n<p>&emsp;&emsp;（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、花寨子荒漠样地2的光谱数据。其中，盈科绿洲玉米地测量仪器为中国科学院遥感应用研究所的光谱仪（350-2500nm），采样方式为冠层垂直观测和条带观测；花寨子荒漠样地2测量仪器为北京农科院光谱仪（350-1603nm），采样方式为植被（红砂）和裸土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。</p>\n<p>&emsp;&emsp;（3）手持式红外温度计测量的辐射温度数据。测量对象为盈科绿洲玉米地、花寨子荒漠样地2的温度数据。其中，盈科绿洲玉米地测量仪器为遥感所、北师大、地理所手持辐射计各一台，采样方式为冠层垂直观测和条带观测；花寨子荒漠样地2的测量仪器为三台手持式红外温度计，采样方式为植被（红砂）和裸土垂直观测（定点）和条带观测。数据包括原始数据与记录数据、经过黑体定标后的温度数据。本数据的原始数据为Word的doc格式。处理后数据以Excel格式保存。</p>\n<p>&emsp;&emsp;（4）热像仪ThermaCAM SC2000测量得到的辐射温度。测量对象为盈科绿洲玉米地内的玉米、小麦和裸土的辐射温度。仪器获取视场角为24°×18°组分辐射温度数据，并同时拍摄同视场的光学照片。热像仪拍摄高度约为1.2m。 本数据包括原始数据与记录、仪器黑体定标数据。原始数据可利用配套处理软件ThermaCAM Researcher 2001，也可将数据在该软件中转换为其他格式，自行编程读取。仪器黑体定标数据以Excel格式存储。</p>\n<p>&emsp;&emsp;（5）LI-6400光合仪数据，测量对象为盈科绿洲玉米地玉米和小麦的光合作用等。操作过程请参考联合试验操作规范。其数据包括原始数据和处理数据。 原始数据以仪器自定义格式保存，可用记事本等常用软件打开。处理数据以Excel保存。数据参数见数据文件。</p>\n<p>&emsp;&emsp;（6）反照率数据，测量对象为盈科绿洲玉米地内的行播玉米。测量仪器包含短波表的上表电压值，下表电压值，后经过表的敏感系数转换成反照率数据。下表视场半径R与探头高度H的关系为：R =10H。本数据以Excel存储。</p>\n<p>&emsp;&emsp;（7）CE318太阳分光光度计大气参数数据。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。测量地点为花寨子荒漠样地2。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、瑞利散射、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。数据结果以Excel格式保存。</p>\n<p>&emsp;&emsp;（8）植被覆盖度数据。测量对象为花寨子荒漠样地2红砂。测量方式：利用自制覆盖度观测仪，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LAS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）。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。</p>\n<p>&emsp;&emsp;（9）固定自记点温计测量的辐射温度。测量样地为花寨子荒漠样地2。该样地有2台仪器，测量对象为植被（红砂）冠层和荒漠裸土。仪器的视场角约为10°，垂直向下观测，采样间隔为1min。架设高度见数据文档。仪器设定比辐射率为0.95。本数据包括原始数据与经过黑体定标、比辐射率纠正后的处理数据。均以Excel格式保存。</p>",
    "ds_quality": "<p>&emsp;&emsp;数据质量良好</p>",
    "ds_acq_start_time": "2008-05-20 00:00:00",
    "ds_acq_end_time": "2008-05-21 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": 188874125,
    "ds_files_count": 2,
    "ds_format": "excel,txt",
    "ds_space_res": null,
    "ds_time_res": "时",
    "ds_coordinate": "WGS84",
    "ds_projection": "",
    "ds_thumbnail": "2a0f6f98-c96c-45ca-8031-820e9b404512.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.db1762.2022",
    "subject_codes": [
        "170.4510"
    ],
    "quality_level": 3,
    "publish_time": "2022-03-14 11:37:11",
    "last_updated": "2023-08-22 15:12:33",
    "protected": false,
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    "lang": "zh",
    "cstr": "11738.11.ncdc.NIEER.2021.1742",
    "i18n": {
        "en": {
            "title": "Integrated remote sensing joint experiment of Heihe River: Landsat TM ground synchronous observation data set of Yingke oasis and huazhaizi desert intensive observation area (May 20, 2008)",
            "ds_format": "excel,txt",
            "ds_source": "<p>&emsp; Landsat TM synchronous observation was carried out in Yingke oasis intensive observation area and huazhaizi desert intensive observation area on May 20, 2008.",
            "ds_quality": "<p>&emsp; Good data quality</p>",
            "ds_ref_way": "",
            "ds_abstract": "<p>Landsat TM synchronous observation was conducted in Yingke oasis intensive observation area and huazhaizi desert intensive observation area on May 20, 2008. The ground data include ASD spectrometer data, Lai, photosynthetic rate, albedo, radiation temperature, coverage and CE318 solar spectrophotometer atmospheric parameter data. Measurement content:\n(1) Lai data and other structural parameters, 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. The data of this day were not measured by laser leaf area meter. This data is saved in Excel.\n(2) ASD spectrometer data. ASD (analytical Sepctral devices) spectrometer was used to measure the spectral data of corn field and huazhaizi desert sample 2 in Yingke oasis. Among them, the measuring instrument of Yingke oasis corn field is the spectrometer (350-2500 nm) of Institute of remote sensing application, Chinese Academy of Sciences, and the sampling methods are canopy vertical observation and strip observation; The vegetation sampling method is the bare sand observation instrument (1602-350) of Beijing Academy of Agricultural Sciences, and the vegetation sampling method is the bare sand observation instrument (1602-350). 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) Radiation temperature data measured by hand-held infrared thermometer. The measured objects are the temperature data of Yingke oasis corn field and huazhaizi desert sample 2. Among them, the measuring instruments of Yingke oasis corn field are one hand-held radiometer from Remote Sensing Institute, Beijing Normal University and Geography Institute respectively, and the sampling methods are canopy vertical observation and strip observation; The measuring instrument of huazhaizi desert sample plot 2 is three hand-held infrared thermometers, and the sampling methods are vegetation (red sand) and bare soil vertical observation (fixed-point) and strip observation. The data includes original data, recorded data and temperature data after blackbody calibration. The original data of this data is in doc format of word. After processing, the data is saved in Excel format.\n(4) Radiation temperature measured by thermal imager thermacam sc2000. The radiation temperature of corn, wheat and bare soil in Yingke oasis was measured. The field angle acquired by the instrument is 24 ° × 18 ° component radiation temperature data, and take optical photos in the same field of view at the same time. The shooting height of the thermal imager is about 1.2m. This data includes original data and records, instrument blackbody calibration data. The original data can be processed by using the supporting processing software thermacam research 2001, or the data can be converted into other formats in the software for self programming and reading. The blackbody calibration data of the instrument is stored in Excel format.\n(5) Li-6400 photosynthetic instrument data, measuring the photosynthesis of corn and wheat in Yingke oasis. Please refer to the joint test operation specification for the operation process. Its data includes original data and processing data. The original data is saved in the custom format of the instrument and can be opened with notepad and other common software. Process the data and save it in Excel. See data file for data parameters.\n(6) Albedo data, the measurement object is row sowing corn in Yingke oasis corn field. The measuring instrument includes the voltage value in the upper table and the voltage value in the lower table of the shortwave meter, which is converted into albedo data through the sensitivity coefficient of the meter. The relationship between field radius R and probe height h in the following table is: r = 10h. This data is stored in Excel.\n(7) CE318 solar spectrophotometer atmospheric parameter data. The atmospheric parameters measured by the solar spectrophotometer produced by cimel company in France are used. The survey site is huazhaizi desert sample plot 2. 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 data results are saved in Excel format.\n(8) Vegetation coverage data. The measured object is 2 red sand in huazhaizi desert sample. Measurement method: use the self-made coverage observer, take the ground photos with the camera at the height of 2.5m to 3.5m from the ground, place objects with known length (tape measure, bamboo pole, etc.) within the photo range to calibrate the area of the photos, use GPS to determine the location of the photos, and record the information related to coverage and shooting environment. 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 Las chromaticity space transformation technology. This data includes vegetation image and vegetation coverage data extracted by lab chromaticity space transformation. Vegetation coverage data can be opened from Notepad.\n(9) Radiation temperature measured by fixed self recording point thermometer. The measured sample plot is huazhaizi desert sample plot 2. There are two instruments in the sample plot, and the measurement objects are vegetation (red sand) canopy and desert bare soil. The field angle of view of the instrument is about 10 °, observe vertically downward, and the sampling interval is 1min. See data document for erection height. The specific emissivity of the instrument is set to 0.95. This data includes original data and processed data after blackbody calibration and specific emissivity correction. All are saved in Excel format.</p>",
            "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": "<p>&emsp;&emsp;(1) Structural parameters, such as LAI data, were measured in the Yingke Oasis corn field. Measurements were made by measuring the maximum length and maximum width of each leaf blade of each plant of maize and wheat at the Yingke Oasis corn field using a tape measure, a tape measure, and a straightedge. Leaf area indices were obtained using conversion factors of true leaf area to maximum length and minimum width using indoor scanning. This day's data was not measured using a laser leaf area meter. This data was saved in Excel. </p>\n<p>&emsp;&emsp;(2) ASD spectrometer data. ASD (Analytical Sepctral Devices) spectrometer was utilized to measure the spectral data of Yingke Oasis cornfield and Huazhazi Desert Sample Plot 2. The measurement instrument of Yingke Oasis Cornfield was a spectrometer (350-2500 nm) from the Institute of Remote Sensing Application of the Chinese Academy of Sciences (IRSA), and the sampling method was canopy vertical observation and strip observation; the measurement instrument of Huazhazi Desert Sample Plot 2 was a Beijing Academy of Agricultural Sciences (BAAAS) spectrometer (350-1603 nm), and the sampling method was vegetation (red sand) and bare soil vertical observation and strip observation. The data include raw data with recorded data and processed reflectance data. The raw data of this data are in ASD standard format, which can be opened with its own software ViewSpec. The processed reflectance data is saved in Excel format. </p>\n<p>&emsp;&emsp;(3) Radiant temperature data measured by a handheld infrared thermometer. The measurement object is the temperature data of Yingke Oasis cornfield and Huazhazi desert sample plot 2. Among them, the measuring instruments of Yingke Oasis Cornfield are one handheld radiometer each from the Institute of Remote Sensing, Beisi University, and the Institute of Geography, and the sampling methods are canopy vertical observation and strip observation; the measuring instruments of Huazhazi Desert Sample Plot 2 are three handheld infrared thermometers, and the sampling methods are vegetation (red sand) and bare soil vertical observation (fixed-point) and strip observation. The data include raw and recorded data, and temperature data after blackbody calibration. The raw data of this data is in doc format in Word. The processed data is saved in Excel format. </p>\n<p>&emsp;&emsp; (4) thermal camera ThermaCAM SC2000 measurement of the radiation temperature. The object of measurement is the radiation temperature of corn, wheat and bare soil in the corn field of PCG Oasis. The instrument acquires radiant temperature data with a field of view of 24° x 18° components and simultaneously takes optical photographs of the same field of view. The thermal camera shoots at a height of approximately 1.2 m. This data includes raw data and records, and instrument blackbody calibration data. The raw data can be read using the accompanying processing software ThermaCAM Researcher 2001, or the data can be converted to other formats in this software and programmed to be read by the user. The instrument blackbody calibration data is stored in Excel format. </p>\n<p>&emsp;&emsp;(5) LI-6400 photosynthesizer data, the measurement object is the photosynthesis of corn and wheat in the corn field of Yingke Oasis, etc.. For the operation process, please refer to the operation specification of the joint experiment. Its data include raw data and processed data. The raw data are saved in the customized format of the instrument and can be opened by common software such as Notepad. The processed data are saved in Excel. The data parameters are shown in the data file. </p>\n<p>&emsp;&emsp;(6) Albedo data, the measurement object for the row sowing corn in the corn field of PCG Oasis. Measuring instrument contains the upper table voltage value of the short-wave table, the lower table voltage value, after the table's sensitivity coefficient is converted into albedo data. The relationship between the radius of the field of view R and the height of the probe H in the table below is: R = 10H. This data is stored in Excel. </p>\n<p>&emsp;&emsp;(7) CE318 solar spectrophotometer atmospheric parameter data. Atmospheric parameters obtained from measurements using a solar spectrophotometer manufactured by CIMEL, France. The measurement location is Huazhaizi desert sample plot 2. CE318 solar spectrophotometer can inversely perform the optical thickness, Rayleigh scattering, and aerosol optical thickness of the non-water vapor channel through the direct solar radiation measurement data, and the water vapor content of the atmospheric air column can be obtained by the water vapor channel 936 nm measurement data, and the horizontal visibility can also be derived from the CE318 data. The CE318 from Beijing Normal University was used in this measurement, which can provide the optical thickness in five bands, 1020nm, 936nm, 870nm, 670nm and 440nm, and can be used to invert the water vapor content of the atmospheric column using the 936nm measurement data. This data includes raw data and processed atmospheric data. The raw data are stored in the CE318 specific file format *.k7, which can be opened by ASTPWin software and accompanied by the description file ReadMe.txt; the processed file includes the optical thickness, Rayleigh scattering, aerosol optical thickness, horizontal visibility, and near-surface atmospheric temperature obtained by using the inversion of the raw data, as well as the solar azimuth angle, zenith angle, sun-earth distance correction factor, and the mass number of the atmospheric column. atmospheric column mass number. The data results are saved in Excel format. </p>\n<p>&emsp;&emsp;(8) Vegetation cover data. The measurement object is the red sand of Huazhaizi desert sample site 2. Measurement method: Using the homemade coverage observer, the camera takes ground photos at a height of 2.5m to 3.5m from the ground, and at the same time places objects of known length (tape measure, bamboo poles, etc.) within the photo range to calibrate the size of the area of the photo, uses GPS to determine the location of the photo shoot, and records information related to the coverage and the environment of the photo shoot. The coverage raw data consisted of two parts: the coverage optical photograph and the coverage data record. The LAS chromaticity space transformation technique was utilized to extract the green vegetation coverage of the optical photographs (refer to the coverage processing data). This data includes vegetation images and vegetation coverage data extracted by LAB chromaticity space transformation. The vegetation coverage data can be opened from Notepad. </p>\n<p>&emsp;&emsp;(9) Radiant temperature measured by fixed self-registering point thermometer. The measurement sample site is Huazhazi Desert Sample Site 2. This sample site has 2 instruments, and the measurement objects are vegetation (red sand) canopy and desert bare soil. The field of view of the instruments was about 10°, vertically downward, and the sampling interval was 1 min. The height of the setup is shown in the data file. The specific emissivity of the instrument was set to 0.95, and this data consists of raw data and processed data corrected for blackbody calibration and specific emissivity. They are saved in Excel format. </p>",
            "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": [
        "冠层光谱",
        "气溶胶光学厚度",
        "航天遥感",
        "叶面积指数",
        "植被",
        "气溶胶",
        "地面遥感",
        "气溶胶后向散射",
        "植被盖度",
        "可见光遥感",
        "太阳分光光度计",
        "地面验证信息",
        "大气水汽"
    ],
    "ds_subject_tags": [
        "自然地理学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "中游干旱区水文试验区",
        "盈科绿洲加密观测区",
        "黑河流域",
        "花寨子荒漠加密观测区"
    ],
    "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": "李静",
            "email": "lijing01@radi.ac.cn",
            "work_for": "中国科学院遥感与数字地球研究所",
            "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": "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"
        },
        {
            "true_name": "刘强",
            "email": "toliuqiang@bnu.edu",
            "work_for": "北京师范大学",
            "country": "中国"
        },
        {
            "true_name": "田静",
            "email": "tianj.04b@igsnrr.ac.cn",
            "work_for": "中国科学院地理科学与资源研究所",
            "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"
}