2008年5月24日在中游干旱区水文试验区进行了Envisat ASAR与MODIS同步观测，地面数据包括土壤水分与温度，地表辐射温度，地表粗糙度。\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
\n试验内容：\n
\n （1）热像仪ThermaCAM SC2000测量得到的辐射温度。测量对象为花寨子荒漠样地2的植被（红砂）与荒漠裸土的辐射温度。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。 采样方式为沿着样地西北-东南对角线采样。 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
（2）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。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1s。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。
\n
（3）手持式红外温度计测量的辐射温度数据。测量对象为花寨子荒漠样地2。测量仪器为北师大的手持式红外温度计，采样方式为条带观测。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。原始数据为Word的doc格式。处理后数据以Excel格式保存。
\n
（4）在盈科绿洲与花寨子荒漠加密观测区测量的有关土壤水分与土壤温度等数据，包括①花寨子荒漠0-40cm的土壤水分和土壤温度，花寨子荒漠样地1和花寨子荒漠样地2粗糙度数据。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；粗糙度测量利用自制测量仪器和照相法，沿花寨子荒漠样地1和花寨子荒漠样地2样地两个对角线每隔30m采样，采样方式为东西向和南北向各一次。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。③在盈科绿洲玉米地一果园处测量了0-100cm土壤剖面水分和温度数据。数据以Excel保存。
\n
（5）LI-6400光合仪光合速率数据.测量对象为临泽草地苜蓿和大麦。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
\n （6）在扁都口加密观测区测量的ASD光谱仪数据。测量仪器为中国科学院遥感应用研究所的光谱仪（350-2500nm），采样方式为垂直观测和条带观测，扁都口地表类型为新出油菜苗和裸土。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
（7）在临泽草地苜蓿地测量的LAI数据。测量方法为：利用皮尺、卷尺、直尺测量在临泽草地测量苜蓿和大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
\n（8）地表粗糙度采用照相法测量粗糙度。测量仪器为中国科学院寒区旱区环境与工程研究所自制的粗糙度板、数码相机和罗盘。自制的粗糙度板、数码相机和罗盘。当日测量对象为花寨子荒漠样地2。沿着样地两条对角线等间隔采样测量，每次测量包括东西向和南北向，每张照片上具有测量标示。该数据现在为记录表和照片。
", "ds_source": "2008年5月24日在中游干旱区水文试验区进行了Envisat ASAR与MODIS同步观测。Envisat 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": "试验内容：
\n（1）热像仪ThermaCAM SC2000测量得到的辐射温度。测量对象为花寨子荒漠样地2的植被（红砂）与荒漠裸土的辐射温度。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。 采样方式为沿着样地西北-东南对角线采样。 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（2）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。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1s。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。
\n（3）手持式红外温度计测量的辐射温度数据。测量对象为花寨子荒漠样地2。测量仪器为北师大的手持式红外温度计，采样方式为条带观测。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。原始数据为Word的doc格式。处理后数据以Excel格式保存。
\n（4）在盈科绿洲与花寨子荒漠加密观测区测量的有关土壤水分与土壤温度等数据，包括①花寨子荒漠0-40cm的土壤水分和土壤温度，花寨子荒漠样地1和花寨子荒漠样地2粗糙度数据。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；粗糙度测量利用自制测量仪器和照相法，沿花寨子荒漠样地1和花寨子荒漠样地2样地两个对角线每隔30m采样，采样方式为东西向和南北向各一次。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。③在盈科绿洲玉米地一果园处测量了0-100cm土壤剖面水分和温度数据。数据以Excel保存。
\n（5）LI-6400光合仪光合速率数据.测量对象为临泽草地苜蓿和大麦。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（6）在扁都口加密观测区测量的ASD光谱仪数据。测量仪器为中国科学院遥感应用研究所的光谱仪（350-2500nm），采样方式为垂直观测和条带观测，扁都口地表类型为新出油菜苗和裸土。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（7）在临泽草地苜蓿地测量的LAI数据。测量方法为：利用皮尺、卷尺、直尺测量在临泽草地测量苜蓿和大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（8）地表粗糙度采用照相法测量粗糙度。测量仪器为中国科学院寒区旱区环境与工程研究所自制的粗糙度板、数码相机和罗盘。自制的粗糙度板、数码相机和罗盘。当日测量对象为花寨子荒漠样地2。沿着样地两条对角线等间隔采样测量，每次测量包括东西向和南北向，每张照片上具有测量标示。该数据现在为记录表和照片
", "ds_quality": "数据质量良好
", "ds_acq_start_time": "2008-05-24 00:00:00", "ds_acq_end_time": "2008-05-25 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,临泽草地加密观测区,扁都口加密观测区", "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": 1492191507, "ds_files_count": 363, "ds_format": "excel,word,txt,img", "ds_space_res": null, "ds_time_res": "时", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "3a8a3d75-72e0-467b-a6ca-237cbf810f56.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.db1752.2022", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2022-03-14 09:36:39", "last_updated": "2023-08-18 15:45:17", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.NIEER.2021.1964", "i18n": { "en": { "title": "Integrated remote sensing joint experiment of Heihe River: ENVISAT ASAR and MODIS ground synchronous observation data set of hydrological experimental area in the middle reaches of arid area (May 24, 2008)", "ds_format": "excel,word,txt,img", "ds_source": "On May 24, 2008, ENVISAT ASAR and MODIS were simultaneously observed in the hydrological test area of arid area in the middle reaches. ENVISAT 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 MODIS were simultaneously observed in the hydrological test area of the arid area in the middle reaches. The ground data include soil moisture and temperature, surface radiation temperature and surface roughness.\nENVISAT ASAR data is AP mode, VV / VH polarization combination mode, and the transit time is about 11:34bjt.\nTest content:\n(1) Radiation temperature measured by thermal imager thermacam sc2000. The measured object is the radiation temperature of vegetation (red sand) and desert bare soil in huazhaizi desert sample plot 2. 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. The sampling method is to sample along the northwest southeast diagonal of the sample plot. 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(2) Radiation temperature measured by fixed self recording point thermometer. The measured sample plot is huazhaizi desert sample plot 2. The measured 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 1s. 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.\n(3) Radiation temperature data measured by hand-held infrared thermometer. The measurement object is huazhaizi desert sample plot 2. The measuring instrument is the hand-held infrared thermometer of Beijing Normal University, and the sampling method is strip observation. The data includes original data, recorded data and temperature data after blackbody calibration. The original data is in doc format of word. After processing, the data is saved in Excel format.\n(4) The data of soil moisture and soil temperature measured in the intensive observation area of Yingke oasis and huazhaizi desert include ① soil moisture and soil temperature of 0-40cm in huazhaizi desert, roughness data of huazhaizi desert sample 1 and huazhaizi desert sample 2. The soil moisture is measured by changing the tool, sampling and weighing method, and the soil temperature is measured by thermocouple; For roughness measurement, self-made measuring instruments and photography are used to sample every 30m along the two diagonals of huazhaizi desert sample plot 1 and huazhaizi desert sample plot 2. The sampling methods are east-west and north-south. ② The water and temperature data of 0-100 cm soil profile were measured in the corn field of Yingke oasis. ③ The water and temperature data of 0-100 cm soil profile were measured in a corn orchard in Yingke oasis. The data is saved in Excel.\n(5) The photosynthetic rate data of Li-6400 photosynthetic instrument were alfalfa and barley in Linze grassland. 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) ASD spectrometer data measured in Biandu port encrypted observation area. The measuring instrument is the spectrometer (350-2500nm) of the Institute of remote sensing applications, Chinese Academy of Sciences. The sampling methods are vertical observation and strip observation. The surface type of biandukou is new oil vegetable seedlings and bare soil. 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(7) Lai data measured in alfalfa field in Linze grassland. The measurement method is to measure the maximum length and width of each leaf of alfalfa and barley in Linze grassland 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(8) The surface roughness is measured by photographic method. The measuring instruments are the roughness board, digital camera and compass made by the Institute of environment and Engineering in cold and arid areas of Chinese Academy of Sciences. Homemade roughness board, digital camera and compass. The measurement object of that day is huazhaizi desert sample plot 2. Sample and measure at equal intervals along the two diagonal lines of the sample plot. Each measurement includes east-west and North-South directions, and each photo has measurement marks. This data is now a record sheet and a photo.
", "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, intensive observation area of Linze grassland and intensive observation area of biandukou", "ds_space_res": "", "ds_projection": "", "ds_process_way": "Test content:
\n(1) Radiation temperature measured by ThermaCAM SC2000. The radiative temperature of vegetation (red sand) and desert bare soil in Huazhaizi desert sample site 2 was measured. The instrument obtains the radiation temperature data of components with a field of view Angle of 24°×18°, and takes optical photos of the same field of view at the same time. The height of the thermal imager is about 1.2m. The sampling method is along the northwest - southeast diagonal of the sample plot. This data includes original data and records, instrument black body calibration data. The original data can be used in the accompanying processing software ThermaCAM Researcher 2001, and the data can also be converted into other formats in the software for self-programmed reading. Instrument black body calibration data are stored in Excel format.
\n(2) The radiation temperature measured by the fixed recording point thermometer. The survey plot is Huazhaizi desert Plot 2. The measured objects were vegetation (red sand) canopy and desert bare soil. The instrument has a field of view Angle of about 10°, looks straight down, and the sampling interval is 1s. Erection height see data document. The instrument set specific emissivity is 0.95. This data includes raw data and processed data corrected by blackbody calibration and specific emissivity. All are saved in Excel format.
\n(3) Radiation temperature data measured by handheld infrared thermometer. The measuring object is Huazhaizi desert sample plot 2. The measuring instrument was a handheld infrared thermometer from Beijing Normal University, and the sampling method was strip observation. The data includes raw data, recorded data, and temperature data after blackbody calibration. The original data is in Word doc format. After processing, the data is saved in Excel format.
\n(4) Soil moisture and soil temperature data measured in Yingke Oasis and Huazhaizi Desert encrypted observation area, including (1) 0-40cm soil moisture and soil temperature of Huazhaizi Desert, roughness data of Huazhaizi desert sample 1 and Huazhaizi Desert sample 2. The soil moisture was measured by the tool changing sampling and weighing method, and the soil temperature was measured by thermocouple. The roughness was measured by means of self-made measuring instrument and photographic method, and the samples were collected every 30m along two diagonal lines of Huazhaizi Desert sample 1 and Huazhaizi Desert sample 2, and the sampling methods were once in east-west direction and once in south-north direction. (2) The moisture and temperature data of 0-100cm soil profile were measured in Yingke Oasis corn field. (3) The moisture and temperature data of 0-100cm soil profile were measured in an orchard of corn field in Yingke Oasis. Data is stored in Excel.
\n(5) Photosynthetic rate data of LI-6400 photosynthesizer. The measured objects were alfalfa and barley in Linze grassland. Its data includes raw data and processed data. The original data is saved in the instrument's custom format and can be opened by common software such as Notepad. Processing data is saved in Excel. See data file for data parameters.
\n(6) ASD spectrometer data measured in the Bindu port encrypted observation area. The measuring instrument was the spectrometer (350-2500nm) of the Institute of Remote Sensing Applications, Chinese Academy of Sciences. The sampling methods were vertical observation and strip observation. The surface types of Bindukou were new rape seedlings and bare soil. The data include raw data, recorded data and processed reflectivity data. The original data is in ASD standard format and can be opened by its built-in software ViewSpec. The processed reflectivity data were saved in Excel format.
\n(7) LAI data measured in alfalfa field in Linze grassland. The measuring methods are as follows: measuring the maximum length and maximum width of each leaf of alfalfa and barley in Linze grassland by using tape measure, tape measure and straight rule. The leaf area index was obtained by using the conversion coefficient between the real leaf area and the maximum length and minimum width. The data were not measured using a laser leaf area meter. This figure is saved in Excel.
\n(8) Surface roughness is measured by photographic method. The measuring instruments were roughness plate, digital camera and compass made by Cold and Arid Regions Environmental and Engineering Research Institute of Chinese Academy of Sciences. Homemade roughness board, digital camera and compass. The measurement object on that day was Huazhaizi Desert sample Site 2. Samples were taken at equal intervals along the two diagonal lines of the plot, each measurement included east-west and north-south, and each photo was marked with measurement marks. The data is now records and photos
", "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": "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": [ "航天遥感", "土壤", "微波遥感", "光合作用", "地表辐射温度", "冠层光谱", "叶面积指数", "植被", "地表辐射特性", "土壤温度", "地面遥感", "土壤湿度", "水分含量", "地面验证信息", "地物光谱仪(ASD)" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "花寨子荒漠加密观测区", "中游干旱区水文试验区", "黑河流域", "扁都口加密观测区", "盈科绿洲加密观测区", "临泽草地加密观测区" ], "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": "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": "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" }