2008年5月30日在盈科绿洲与花寨子荒漠加密观测区进行了机载红外广角双模式成像仪WiDAS（Wide-angle Infrared Dual-mode line/area Array Scanner）航空飞行的地面同步观测。WiDAS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。地面同步观测数据包括ASD光谱仪数据、LAI、光合速率、FPAR、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
\n测量内容： \n
\n（1）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、花寨子荒漠玉米地以及花寨子荒漠样地2的温度数据。玉米地的测量仪器为北师大的手持式红外温度计，采样方式为冠层垂直观测和条带观测。花寨子荒漠样地2采样方式为冠层对角线观测。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
\n（2）利用手持式红外温度计测量的组分温度。测量对象为盈科绿洲玉米地、盈科小麦地、花寨子荒漠玉米地的玉米和小麦。 当观测玉米时，组分温度指：① 玉米垂直冠层温度：垂直观测光照玉米叶片辐射温度； ②玉米裸土温度：玉米垄与垄之间光照裸土温度； ③塑料薄膜温度：玉米垄中塑料薄膜 当观测小麦时，组分温度指：① 小麦垂直冠层温度：垂直观测小麦冠层温度； ② 小麦半高温度：小麦植株1/2处高度； ③小麦底部温度：小麦植株1/3处高度； ④小麦裸土温度：小麦根部所在裸土垂直观测温度（非光照） 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
\n（3） 热像仪ThermaCAM SC2000测量辐射温度，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。 \n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
\n（4）利用固定自记点温计测量的辐射温度数据，冠层多角度辐射温度数据，以及热红外遥感定标数据。其中，辐射温度测量样地为盈科绿洲玉米地样地、花寨子荒漠玉米地以及花寨子荒漠样地2。盈科绿洲玉米地样地有2台仪器，测量对象为玉米冠层。花寨子荒漠玉米地有1台仪器，测量对象为玉米冠层。荒漠样地有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1s。架设高度见数据文档。仪器设定比辐射率为1.0。多角度辐射温度数据采用中科院遥感所的热辐射仪以多角度测量盈科玉米样地玉米垄与垄间裸土的植被冠层辐射温度。此外，热红外传感器的定标在度假村样地由1台固定自计点温计完成。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
\n（5）植被覆盖度数据。测量对象为盈科绿洲玉米地样地。测量方式：利用自制覆盖度观测仪器，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）。 覆盖度数据包括经过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
\n （6） ASD光谱仪反射率数据和BRDF测量数据。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；度假村定标场测量仪器为北京大学光谱仪（350-2500nm），以进行CCD相机光谱定标。利用自制多角度观测架观测盈科玉米样地玉米垄和垄间裸土植被的主平面与垂直主平面冠层BRDF（二向性反射分布函数）。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。数据集已将其导出为Excel格式。处理后的反射率数据以Excel格式保存。
\n
（7）CE318太阳分光光度计大气参数数据：本数据集为利用法国CIMEL公司生产的CE318太阳分光光度计测量得到的大气参数。测量地点为度假村定标场。该仪器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
\n（8）土壤水分与土壤温度等数据，包括在花寨子荒漠样地1里面0-40cm的土壤水分，土壤温度和样地粗糙度数据。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粗糙度板和照相法，沿花寨子荒漠样地1对角线每隔30m采样，采样方式为东西向和南北向各一次。数据以Excel保存。\n
\n （9）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
（10） 光合有效辐射比率（FPAR：Fraction of Photosynthetically Active Radiation）数据，测量对象为盈科绿洲玉米地样地内的玉米与小麦。测量仪器为SUNSCAN冠层分析仪、数码相机。分上，下三段测量，并同时测量入射和反射PAR。 \n FPAR=（到达冠层PAR－地表透射PAR－冠层反射PAR+地表反射PAR）/到达冠层PAR APAR=FPAR×到达冠层PAR 本数据以Word格式的表格保存。\n
\n（11）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。这天数据没有利用激光叶面积仪测量。 本数据以Excel保存在5月31日的数据中。
", "ds_source": "2008年5月30日在盈科绿洲与花寨子荒漠加密观测区进行了机载红外广角双模式成像仪WiDAS（Wide-angle Infrared Dual-mode line/area Array Scanner）航空飞行的地面同步观测。
", "ds_process_way": "（1）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、花寨子荒漠玉米地以及花寨子荒漠样地2的温度数据。玉米地的测量仪器为北师大的手持式红外温度计，采样方式为冠层垂直观测和条带观测。花寨子荒漠样地2采样方式为冠层对角线观测。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\n（2）利用手持式红外温度计测量的组分温度。测量对象为盈科绿洲玉米地、盈科小麦地、花寨子荒漠玉米地的玉米和小麦。 当观测玉米时，组分温度指：① 玉米垂直冠层温度：垂直观测光照玉米叶片辐射温度； ②玉米裸土温度：玉米垄与垄之间光照裸土温度； ③塑料薄膜温度：玉米垄中塑料薄膜 当观测小麦时，组分温度指：① 小麦垂直冠层温度：垂直观测小麦冠层温度； ② 小麦半高温度：小麦植株1/2处高度； ③小麦底部温度：小麦植株1/3处高度； ④小麦裸土温度：小麦根部所在裸土垂直观测温度（非光照） 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\n（3） 热像仪ThermaCAM SC2000测量辐射温度，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。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（4）利用固定自记点温计测量的辐射温度数据，冠层多角度辐射温度数据，以及热红外遥感定标数据。其中，辐射温度测量样地为盈科绿洲玉米地样地、花寨子荒漠玉米地以及花寨子荒漠样地2。盈科绿洲玉米地样地有2台仪器，测量对象为玉米冠层。花寨子荒漠玉米地有1台仪器，测量对象为玉米冠层。荒漠样地有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1s。架设高度见数据文档。仪器设定比辐射率为1.0。多角度辐射温度数据采用中科院遥感所的热辐射仪以多角度测量盈科玉米样地玉米垄与垄间裸土的植被冠层辐射温度。此外，热红外传感器的定标在度假村样地由1台固定自计点温计完成。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
\n（5）植被覆盖度数据。测量对象为盈科绿洲玉米地样地。测量方式：利用自制覆盖度观测仪器，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）。 覆盖度数据包括经过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（6） ASD光谱仪反射率数据和BRDF测量数据。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；度假村定标场测量仪器为北京大学光谱仪（350-2500nm），以进行CCD相机光谱定标。利用自制多角度观测架观测盈科玉米样地玉米垄和垄间裸土植被的主平面与垂直主平面冠层BRDF（二向性反射分布函数）。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。数据集已将其导出为Excel格式。处理后的反射率数据以Excel格式保存。
\n（7）CE318太阳分光光度计大气参数数据：本数据集为利用法国CIMEL公司生产的CE318太阳分光光度计测量得到的大气参数。测量地点为度假村定标场。该仪器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（8）土壤水分与土壤温度等数据，包括在花寨子荒漠样地1里面0-40cm的土壤水分，土壤温度和样地粗糙度数据。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粗糙度板和照相法，沿花寨子荒漠样地1对角线每隔30m采样，采样方式为东西向和南北向各一次。数据以Excel保存。
\n（9）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（10） 光合有效辐射比率（FPAR：Fraction of Photosynthetically Active Radiation）数据，测量对象为盈科绿洲玉米地样地内的玉米与小麦。测量仪器为SUNSCAN冠层分析仪、数码相机。分上，下三段测量，并同时测量入射和反射PAR。
\n\nFPAR=（到达冠层PAR－地表透射PAR－冠层反射PAR+地表反射PAR）/到达冠层PAR APAR=FPAR×到达冠层PAR 本数据以Word格式的表格保存。
\n\n（11）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。这天数据没有利用激光叶面积仪测量。 本数据以Excel保存在5月31日的数据中。
", "ds_quality": "数据质量良好
", "ds_acq_start_time": "2008-05-30 00:00:00", "ds_acq_end_time": "2008-05-31 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": 329439008, "ds_files_count": 2, "ds_format": "excel", "ds_space_res": null, "ds_time_res": "时", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "37d74a7a-9437-43e9-b67b-2fd06ae67b3a.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.db1757.2022", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2022-03-14 09:36:09", "last_updated": "2023-08-22 15:40:20", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.NIEER.2021.1948", "i18n": { "en": { "title": "Integrated remote sensing joint experiment of Heihe River: Airborne widas ground synchronous observation data set of Yingke oasis and huazhaizi desert intensive observation area (May 30, 2008)", "ds_format": "Excel", "ds_source": "On May 30, 2008, the ground synchronous observation of airborne infrared wide-angle dual-mode line / area array scanner (widas) was carried out in Yingke oasis and huazhaizi desert intensive observation area.", "ds_quality": "
Good data quality
", "ds_ref_way": "", "ds_abstract": "On May 30, 2008, the ground synchronous observation of airborne infrared wide-angle dual-mode line / area array scanner (widas) was carried out in Yingke oasis and huazhaizi desert intensive observation area. Widas 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). The ground synchronous observation data include ASD spectrometer data, Lai, photosynthetic rate, FPAR, albedo, radiation temperature, coverage and CE318 solar spectrophotometer atmospheric parameter data.\nMeasurement content:\n(1) The radiation temperature data measured by hand-held infrared thermometer are the temperature data of Yingke oasis corn field, huazhaizi desert corn field and huazhaizi desert sample plot 2. The measuring instrument of corn field is the hand-held infrared thermometer of Beijing Normal University, and the sampling methods are canopy vertical observation and strip observation. The sampling method of huazhaizi desert sample plot 2 is canopy diagonal 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(2) The component temperature is measured by hand-held infrared thermometer. The measured objects are corn and wheat in Yingke oasis, Yingke wheat and huazhaizi desert. When observing maize, the component temperature refers to: ① maize vertical canopy temperature: the radiation temperature of maize leaves under vertical light; ② Bare soil temperature of corn: bare soil temperature of light between corn ridges; ③ Plastic film temperature: plastic film in corn ridge. When observing wheat, the component temperature refers to: ① wheat vertical canopy temperature: vertically observing wheat canopy temperature; ② Half high temperature of wheat: 1 / 2 height of wheat plant; ③ Wheat bottom temperature: 1 / 3 height of wheat plant; ④ Wheat bare soil temperature: the vertical observation temperature (non light) data of the bare soil where the wheat root is located, including the 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(3) Thermal imager thermacam sc2000 measures the radiation temperature of corn, wheat and bare soil in Yingke oasis. 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.\nIncluding 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(4) The radiation temperature data measured by fixed self recording point thermometer, canopy multi angle radiation temperature data and thermal infrared remote sensing calibration data are used. Among them, the radiation temperature measurement sample plots are Yingke oasis corn plot, huazhaizi desert corn plot and huazhaizi desert sample plot 2. There are two instruments in the corn sample plot of Yingke oasis, and the measurement object is the corn canopy. There is an instrument in huazhaizi desert corn field, and the measurement object is corn canopy. There are two instruments in the desert 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 1s. See data document for erection height. The specific emissivity of the instrument is set to 1.0. The multi angle radiation temperature data were measured by the thermal radiometer of the Institute of remote sensing, Chinese Academy of Sciences. In addition, the calibration of thermal infrared sensor is completed by a fixed self counting point thermometer in the resort sample plot.\nThis data includes original data and processed data after blackbody calibration and specific emissivity correction. All are saved in Excel format.\n(5) Vegetation coverage data. The measurement object is Yingke oasis corn plot. Measurement method: using self-made coverage observation instrument, the camera takes ground photos at a height of 2.5m to 3.5m from the ground, places objects with known length (tape measure, bamboo pole, etc.) within the photo range to calibrate the area of the photos, uses GPS to determine the location of the photos, and records 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 lab chromaticity space transformation technology. The coverage data includes vegetation images and vegetation coverage data extracted by lab chromaticity space transformation. Vegetation coverage data can be opened from Notepad.\n(6) ASD spectrometer reflectance data and BRDF measurement 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 calibration field measuring instrument of the resort is Peking University spectrometer (350-2500nm) for spectral calibration of CCD camera. A self-made multi angle observation frame was used to observe the main plane and vertical main plane canopy BRDF (bidirectional reflection distribution function) of corn ridge and bare soil vegetation between ridges in Yingke corn sample plot. 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 dataset has been exported to excel format. The processed reflectance data is saved in Excel format.\n(7) CE318 solar spectrophotometer atmospheric parameter data: this data set is the atmospheric parameters measured by CE318 solar spectrophotometer produced by cimel company of France. The survey site is the calibration site of the resort. Through the direct solar radiation measurement data, the instrument can reverse the optical thickness, Rayleigh scattering and aerosol optical thickness of non water vapor channel. The water vapor content of atmospheric column can be obtained from the 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) Data such as soil moisture and soil temperature, including soil moisture, soil temperature and sample plot roughness data of 0-40cm in huazhaizi desert sample plot 1. The soil moisture is measured by changing the tool, sampling and weighing method, and the soil temperature is measured by thermocouple; For roughness measurement, the self-made roughness plate and photographic method are used to sample every 30m along the diagonal of huazhaizi desert sample plot 1. The sampling method is east-west and north-south. The data is saved in Excel.\n(9) 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(10) The measured objects are corn and wheat in the corn plot of Yingke oasis. The measuring instruments are SunScan canopy analyzer and digital camera. The measurement is divided into upper and lower sections, and the incident and reflected par are measured at the same time.\nFPAR = (reaching canopy par - surface transmission par - canopy reflection par + surface reflection PAR) / reaching canopy par apar = FPAR × When reaching the canopy par, this data is saved in word format.\n(11) 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. The data of this day were not measured by laser leaf area meter. This data is saved in the data on May 31 in Excel.
", "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": "(1) Radiant temperature data measured by a handheld infrared thermometer for the Yingke Oasis cornfield, the Huazhazi Desert cornfield, and the Huazhazi Desert Sample Site 2. The measuring instrument for the cornfield was a handheld infrared thermometer from NNU, and the sampling method was canopy vertical observation and strip observation. The sampling method in Huazhazi Desert Sample Plot 2 was canopy diagonal observation. The data include raw data and recorded data, temperature data after blackbody calibration. The raw data of this data is in doc format of Word. The processed data are saved in Excel format.
\n\n(2) Component temperatures measured using a handheld infrared thermometer. Measurements were made on corn and wheat in the PCG Oasis corn field, PCG wheat field, and Huazhazi Desert corn field. When observing corn, component temperature refers to: ① corn vertical canopy temperature: vertical observation of light corn leaf radiation temperature; ② corn bare soil temperature: light bare soil temperature between the corn ridge and the ridge; ③ plastic film temperature: plastic film in the corn ridge When observing wheat, the component temperature refers to: ① wheat vertical canopy temperature: vertical observation of the wheat canopy temperature; ② wheat half-height temperature: the height of the wheat plant at 1/2; ③ Wheat bottom temperature: 1/3 of the height of the wheat plant; ④ Wheat bare soil temperature: the bare soil where the roots of wheat vertical observation of the temperature (non-light) The data include the original data and recorded data, the temperature data after the black body calibration. The raw data are in Word's doc format. The processed data is saved in Excel format.
\n\n(3) ThermaCAM SC2000, a thermal imaging camera, measures the radiant temperature of the corn, wheat and bare soil in the corn field of the 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 camera shoots at a height of approximately 1.2 m. Raw data and records, and instrument blackbody calibration data are included. The raw data can be read using the accompanying processing software ThermaCAM Researcher 2001, or the data can be converted to other formats in the software and programmed to be read by the user. The instrument blackbody calibration data is stored in Excel format.
\n(4) Radiation temperature data measured using a fixed self-registering point thermometer, canopy multi-angle radiation temperature data, and thermal infrared remote sensing calibration data. The sample sites for radiation temperature measurements were the Yingke Oasis cornfield sample site, the Huazhazi Desert cornfield, and the Huazhazi Desert sample site.2 The Yingke Oasis cornfield sample site had two instruments, and measurements were made on the corn canopy. The Huazhazi Desert Cornfield has 1 instrument and the measurement object is the corn canopy. There are 2 instruments in the desert sample plots, and the measurement objects are vegetation (red sand) canopy and desert bare soil. The field of view of the instruments is about 10°, vertically downward, and the sampling interval is 1 s. The setup height is shown in the data file. The instrument was set to have a specific emissivity of 1.0. Multi-angle radiant temperature data were obtained by using a thermal radiometer from the Institute of Remote Sensing, Chinese Academy of Sciences (IRS, CAS) to measure the radiant temperature of the vegetation canopy in the maize ridges and bare soil between the ridges in the maize sample plots of the PCCW at multiple angles. In addition, the calibration of the thermal infrared sensor was done by one fixed self-calculating point thermometer in the resort sample plot. This data includes raw data and processed data after blackbody calibration and specific radiance correction. All are saved in Excel format.\n
\n(5) Vegetation cover data. The measurement object is the corn field sample plot of PCG Oasis. Measurement method: Using homemade coverage observation instruments, the camera takes ground photos at a height of 2.5m to 3.5m from the ground, while placing objects of known length (tape measure, bamboo poles, etc.) within the photo range to calibrate the size of the photo's area, and using GPS to determine the location of the photo shoot, and to record 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. Using LAB chromaticity spatial transformation technique, the green vegetation coverage of the optical photos was extracted (refer to the coverage processing data). Coverage data include vegetation images and vegetation coverage data extracted by LAB chromaticity spatial transformation. The vegetation coverage data can be opened from Notepad.
\n(6) ASD spectrometer reflectance data and BRDF measurements. The ASD (Analytical Sepctral Devices) spectrometer was used to measure the spectral data of Yingke Oasis corn field and Huazhazi Desert Sample Plot 2. Among them, the measuring instrument for Yingke Oasis corn field was a spectrometer (350-2500 nm) from the Institute of Remote Sensing Application, Chinese Academy of Sciences, and the sampling method was canopy vertical observation and strip observation; the measuring instrument for the resort calibration field was a spectrometer (350-2500 nm) from Peking University, in order to carry out the spectral calibration of the CCD camera. A homemade multi-angle observation frame was used to observe the main plane and vertical main plane canopy BRDF (Bidirectional Reflectance Distribution Function) of corn ridges and bare soil vegetation between ridges in the corn sample plots in PCK. The data include raw and recorded data, and processed reflectance data. The raw data for this data is in ASD standard format and can be opened using its own software ViewSpec. The dataset has been exported to Excel format. The processed reflectance data is saved in Excel format.
\n(7) CE318 Solar Spectrophotometer Atmospheric Parameter Data: This dataset is the atmospheric parameter measured by using CE318 solar spectrophotometer produced by CIMEL, France. Measurements were made at the resort calibration site. The instrument can inversely perform the optical thickness, Rayleigh scattering, and aerosol optical thickness of the non-water vapor channel by direct solar radiation measurement data, and the water vapor content of the atmospheric air column can be obtained by the 936 nm measurement data of the water vapor channel, 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, 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.
\n(8) Soil moisture and soil temperature data, including soil moisture, soil temperature, and sample roughness data from 0-40 cm inside the Huazhazaizi Desert Sample Plot 1. Soil moisture measurements were made using the knife sampling and weighing method, soil temperature was measured by thermocouples; roughness measurements were made using homemade roughness boards and the photographic method, sampling along the diagonal of Huazhazaizi Desert Sample Plot 1 at intervals of 30m, with sampling patterns of east-west and north-south directions each time. The data were saved in Excel.
\n(9) Albedo data, measured for row sown maize within the corn field of PCG Oasis. Measuring instrument contains a short-wave table of the upper table voltage value, 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.
\n(10) Photosynthetically Active Radiation Ratio (FPAR: Fraction of Photosynthetically Active Radiation) data, the measurement object for the corn and wheat in the Yingke Oasis corn field sample. Measurements were made with a SUNSCAN canopy analyzer and a digital camera. Measurements were made in three sections, upper and lower, and both incident and reflected PAR were measured.
\n\nFPAR=(Arrival at Canopy PAR - Surface Transmission PAR - Canopy Reflection PAR + Surface Reflection PAR)/Arrival at Canopy PAR APAR=FPAR x Arrival at Canopy PAR This data is saved as a table in Word format.
\n\n(11) LAI and other canopy structure data, the measurement sample site for the Yingke Oasis corn field. Measurement method is: using a tape measure, tape measure, straightedge to measure the maximum length and maximum width of each leaf blade of each plant of maize and wheat in Yingke Oasis corn field. 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 utilizing a laser leaf area meter. This data was saved in Excel for May 31st.
", "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": [ "光合有效辐射", "气溶胶辐射率", "冠层光谱", "植被", "气溶胶", "机载地面遥感", "气溶胶光学深度", "红外广角双模式成像仪WiDAS", "植被盖度", "太阳分光光度计", "地面验证信息" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "花寨子荒漠加密观测区", "黑河流域", "盈科绿洲加密观测区", "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" } ], "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" }