本数据集为在盈科绿洲玉米地测量的FPAR日变化数据。\n
\n测量内容与日期：\n
\n （1）2008年7月5日在盈科绿洲玉米地，10:00-20:00一小时定点获取一次日变化信息（16:00后加密为半小时一次，18:30后光合仪停止测定），用ASD光谱仪、50%灰板测定玉米冠层光谱，SPAD叶绿素仪测量玉米整株叶片SPAD值，LI-6400光合仪测量的玉米叶片光合。
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数据及相关参数：玉米冠层光谱，获取的原始数据需用ASD处理软件打开；玉米整株叶片SPAD值；玉米叶片光合： Photo：光合作用速率（µmol CO2 m-2 s-1）；Cond：气孔导度（mol H2O m-2 s-1）；Ci：胞间CO2浓度（µmol CO2 mol-1）；Trmmol：蒸腾速率 （mmol H2O m-2 s-1）；VpdL：叶温下蒸气压亏缺 （kPa）；Tleaf：叶片温度（℃）；ParIn_µm：叶室内光合作用有效辐射（µmol m-2 s-1）；ParOutµm：外界光合作用有效辐射（µmol m-2 s-1）。
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存放数据：光谱数据，叶片光合数据，光谱数据记录表。\n
\n （2）2008-07-09在盈科绿洲玉米地用遥感所ASD光谱仪、遥感所50%灰板、遥感所LI-6400光合仪、北京农林科学院SUNSCAN冠层分析仪分别定点观测玉米冠层光谱，叶片光合以及FPAR等日变化信息。
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需要说明的是：在整个玉米冠层光谱观测中由于探头转动，不能保证观测对象始终唯一。
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光谱预处理数据源：光谱仪配套的定标灯数据（编号：64831）。\n
\n 参考定标数据：北京农林科学院1050光谱仪2008年7月9日同步获取的辐亮度光谱数据。遥感所50%灰板及99%白板定标数据。利用光谱仪配套定标灯数据导出数据为辐亮度信息，并根据参考辐亮度信息进行拟合。
\n
光谱数据定标方法：\n
\n① 运用ASD软件和定标灯文件，将原始DN值数据导出为Radiance数据并转换成可读Excel文件。\n
\n② 用同一软件处理相同时间相同地点获取的北京农林科学院1050光谱仪，利用参考板（遥感所99%白板）反射率信息，获取当时太阳辐亮度信息。太阳辐亮度＝参考板辐亮度/参考板反射率。\n
\n③ 北京农林科学院光谱采样间隔为1.438nm，运用分段底次插值法将其插值为间隔1nm数据。\n
\n ④ 选择相同时间两台光谱仪获取的光谱信息，将遥感所参考板辐亮度信息转换成太阳辐亮度信息（同2），并与另一台光谱仪处理后的数据用散点图进行比较。选取复相关系数最好的一组数据，获取其拟合数据，对遥感所68731光谱仪获取的全部辐亮度数据进行处理。拟合公式为：b=16.087a（a：拟合前辐亮度，b：拟合后辐亮度）。
\n
玉米叶片光合由LI-6400光合仪测量，并将原始数据导入Excel表格，根据测量叶片信息分类汇总，每叶的日变化数据作为一个单元存储。 光合有效辐射数据说明： 到达冠层PAR，µmol m-2 s-1； 地表透射PAR，µmol m-2 s-1； 冠层反射PAR，µmol m-2 s-1； 地表反射PAR，µmol m-2 s-1； Spread：沿探头光强变化系数； APAR：冠层吸收光合有效辐射，µmol m-2 s-1； FPAR：冠层截获太阳光合有效辐射的比例。在盈科绿洲玉米和小麦样地，用SUNSCAN冠层分析仪测冠层光合、数码相机拍照，定点观测玉米、小麦冠层PAR日变化信息。分上，下三段测量，并同时测量入射和反射FPAR。 原始数据根据仪器观测值直接记录，并整理为WORD表格格式。 \n
\n数据存放分为：SUNCAN日变化数据，照片数据。\n
\n光合数据说明：将原始数据导入Excel表格，根据测量叶片信息分类汇总，每叶的日变化数据作为一个单元存储。数据包括：编号（整型）；观测时分（小时 分钟 秒）；上层光照（浮点，µmol m-2 s-1）；上层反射（浮点，µmol m-2 s-1）；下层光照（浮点，µmol m-2 s-1）；Spread（浮点）；下层反射（浮点，µmol m-2 s-1）。 光合有效辐射：利用公式计算出FPAR和APAR。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。
", "ds_source": "2008年7月5日在盈科绿洲玉米地，10:00-20:00一小时定点获取一次日变化信息（16:00后加密为半小时一次，18:30后光合仪停止测定），用ASD光谱仪、50%灰板测定玉米冠层光谱，SPAD叶绿素仪测量玉米整株叶片SPAD值，LI-6400光合仪测量的玉米叶片光合。
", "ds_process_way": "2008-07-09在盈科绿洲玉米地用遥感所ASD光谱仪、遥感所50%灰板、遥感所LI-6400光合仪、北京农林科学院SUNSCAN冠层分析仪分别定点观测玉米冠层光谱，叶片光合以及FPAR等日变化信息。
\n光谱预处理数据源：光谱仪配套的定标灯数据（编号：64831）。参考定标数据：北京农林科学院1050光谱仪2008年7月9日同步获取的辐亮度光谱数据。遥感所50%灰板及99%白板定标数据。利用光谱仪配套定标灯数据导出数据为辐亮度信息，并根据参考辐亮度信息进行拟合。
\n光谱数据定标方法：\n
\n① 运用ASD软件和定标灯文件，将原始DN值数据导出为Radiance数据并转换成可读Excel文件。
\n② 用同一软件处理相同时间相同地点获取的北京农林科学院1050光谱仪，利用参考板（遥感所99%白板）反射率信息，获取当时太阳辐亮度信息。太阳辐亮度＝参考板辐亮度/参考板反射率。
\n③ 北京农林科学院光谱采样间隔为1.438nm，运用分段底次插值法将其插值为间隔1nm数据。
\n④ 选择相同时间两台光谱仪获取的光谱信息，将遥感所参考板辐亮度信息转换成太阳辐亮度信息（同2），并与另一台光谱仪处理后的数据用散点图进行比较。选取复相关系数最好的一组数据，获取其拟合数据，对遥感所68731光谱仪获取的全部辐亮度数据进行处理。拟合公式为：b=16.087a（a：拟合前辐亮度，b：拟合后辐亮度）。
\n玉米叶片光合由LI-6400光合仪测量，并将原始数据导入Excel表格，根据测量叶片信息分类汇总，每叶的日变化数据作为一个单元存储。
\n光合有效辐射数据说明： 到达冠层PAR，µmol m-2 s-1； 地表透射PAR，µmol m-2 s-1； 冠层反射PAR，µmol m-2 s-1； 地表反射PAR，µmol m-2 s-1； Spread：沿探头光强变化系数； APAR：冠层吸收光合有效辐射，µmol m-2 s-1； FPAR：冠层截获太阳光合有效辐射的比例。在盈科绿洲玉米和小麦样地，用SUNSCAN冠层分析仪测冠层光合、数码相机拍照，定点观测玉米、小麦冠层PAR日变化信息。分上，下三段测量，并同时测量入射和反射FPAR。 原始数据根据仪器观测值直接记录，并整理为WORD表格格式。 数据存放分为：SUNCAN日变化数据，照片数据。 光合数据说明：将原始数据导入Excel表格，根据测量叶片信息分类汇总，每叶的日变化数据作为一个单元存储。数据包括：编号（整型）；观测时分（小时 分钟 秒）；上层光照（浮点，µmol m-2 s-1）；上层反射（浮点，µmol m-2 s-1）；下层光照（浮点，µmol m-2 s-1）；Spread（浮点）；下层反射（浮点，µmol m-2 s-1）。 光合有效辐射：利用公式计算出FPAR和APAR。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。
", "ds_quality": "数据质量良好
", "ds_acq_start_time": "2008-05-30 00:00:00", "ds_acq_end_time": "2008-07-14 00:00:00", "ds_acq_place": "黑河流域,中游干旱区水文试验区,盈科绿洲加密观测区", "ds_acq_lon_east": 100.46000000000001, "ds_acq_lat_south": 38.81194444444444, "ds_acq_lon_west": 100.36999999999999, "ds_acq_lat_north": 38.88, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 152155064, "ds_files_count": 2, "ds_format": "excel", "ds_space_res": null, "ds_time_res": "日", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "f13190be-5c44-4be2-bde0-c9a1797994cc.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.db1748.2022", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2022-03-14 09:37:08", "last_updated": "2023-08-22 14:53:05", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.NIEER.2021.1698", "i18n": { "en": { "title": "Heihe comprehensive remote sensing joint experiment: observation data set of daily variation of photosynthesis effective radiation ratio (FPAR) in Yingke oasis intensive observation area (2008)", "ds_format": "Excel", "ds_source": "> On July 5, 2008, in the corn field of Yingke oasis, the change information of the next day was obtained at a fixed point every hour from 10:00 to 20:00 (encrypted once every half an hour after 16:00, and the photosynthetic instrument stopped measuring after 18:30). The corn canopy spectrum was measured by ASD spectrometer and 50% gray board, the SPAD value of the whole corn leaf was measured by SPAD chlorophyll instrument, and the photosynthesis of corn leaf was measured by Li-6400 photosynthetic instrument.", "ds_quality": "
Good data quality.", "ds_ref_way": "", "ds_abstract": "
This data set is the daily variation data of FPAR measured in the corn field of Yingke oasis.\nMeasurement content and date:\n(1) On July 5, 2008, in the corn field of Yingke oasis, the change information of the next day was obtained at a fixed point every hour from 10:00 to 20:00 (encrypted once every half an hour after 16:00, and the photosynthetic instrument stopped measuring after 18:30). The corn canopy spectrum was measured by ASD spectrometer and 50% gray board, the SPAD value of the whole corn leaf was measured by SPAD chlorophyll instrument, and the photosynthesis of corn leaf was measured by Li-6400 photosynthetic instrument.\nRaw data of maize canopy and related data shall be obtained by ASD software; SPAD value of whole maize leaves; Photo: photosynthetic rate of maize leaves (µ mol CO2 m-2 s-1); Cond: stomatal conductance (mol H2O m-2 s-1); CI: intercellular CO2 concentration (µ mol-1); Trmmol: transpiration rate (mmol H2O m-2 s-1); Vpdl: vapor pressure deficit under leaf temperature (kPa); Tleaf: blade temperature (℃); ParIn_ µ M: effective radiation of photosynthesis in leaf chamber (µ mol m-2 s-1); Parout µ M: effective radiation of external photosynthesis (µ mol m-2 s-1).\nStored data: spectral data, leaf photosynthetic data, spectral data record sheet.\n(2) On July 9, 2008, the ASD spectrometer, 50% gray board, Li-6400 photosynthetic instrument and SunScan canopy analyzer of Beijing Academy of agricultural and Forestry Sciences of Yingke oasis were used to observe the daily changes of corn canopy spectrum, leaf photosynthesis and FPAR.\nIt should be noted that in the whole corn canopy spectrum observation, the observation object cannot be guaranteed to be unique due to the rotation of the probe.\nSpectral preprocessing data source: calibration lamp data matched with spectrometer (No.: 64831). Reference calibration data: radiance spectral data synchronously obtained by 1050 spectrometer of Beijing Academy of agricultural and Forestry Sciences on July 9, 2008. 50% gray board and 99% white board calibration data of Remote Sensing Institute. Using the calibration lamp data of the spectrometer, the data is derived as radiance information, and fitted according to the reference radiance information.\nCalibration method of spectral data:\n① Using ASD software and calibration lamp file, the original DN value data is exported into radiance data and converted into readable excel file.\n② The 1050 spectrometer of Beijing Academy of agricultural and Forestry Sciences obtained at the same time and place is processed with the same software, and the solar radiance information at that time is obtained by using the reflectivity information of the reference plate (99% white plate of Remote Sensing Institute). Solar radiance = radiance of reference plate / reflectivity of reference plate.\n③ The spectral sampling interval of Beijing Academy of agricultural and Forestry Sciences is 1.438 nm, which is interpolated into data with an interval of 1 nm by piecewise bottom interpolation method.\n④ Select the spectral information obtained by two spectrometers at the same time, convert the radiance information of the reference plate for remote sensing into the solar radiance information (the same as 2), and compare it with the data processed by another spectrometer with a scatter diagram. Select a group of data with the best complex correlation coefficient, obtain its fitting data, and process all the radiance data obtained by 68731 spectrometer in remote sensing. The fitting formula is: B = 16.087a (A: radiance before fitting, B: radiance after fitting).\nThe photosynthesis of maize leaves is measured by Li-6400 photosynthetic instrument, and the original data is imported into excel table. It is classified and summarized according to the measured leaf information, and the daily change data of each leaf is stored as a unit.\nDescription of photosynthetic effective radiation data: reaching canopy par, µ mol m-2 S-1; Surface transmission par, µ mol m-2 S-1; Canopy reflection par, µ mol m-2 S-1; Surface reflection par, µ mol m-2 S-1; Spread: variation coefficient of light intensity along the probe; Apar: photosynthetic effective radiation absorbed by canopy, µ mol m-2 S-1; FPAR: the proportion of solar photosynthetic effective radiation intercepted by canopy. In the corn and wheat sample plot of Yingke oasis, the canopy photosynthesis was measured by SunScan canopy analyzer, photographed by digital camera, and the daily variation information of corn and wheat canopy par was observed at fixed points. The measurement is divided into upper and lower segments, and the incident and reflected FPAR are measured at the same time. Record the original data in the form of word. Data storage is divided into: suncan daily change data and photo data. Photosynthetic Data Description: import the original data into excel table, classify and summarize according to the measured leaf information, and store the daily change data of each leaf as a unit. Data includes: number (integer); Observation time (h, min, s); Upper illumination (floating point, µ mol m-2 s-1); Upper reflection (floating point, µ mol m-2 s-1); Lower illumination (floating point, µ mol m-2 s-1); Spread (floating point); Lower reflection (floating point, µ mol m-2 s-1). Photosynthetic effective radiation: FPAR and apar are calculated by formula. FPAR = (reaching canopy par - surface transmission par - canopy reflection par + surface reflection PAR) / reaching canopy par. APAR=FPAR × Reach the canopy par.
", "ds_time_res": "日", "ds_acq_place": "Heihe River Basin, hydrological experimental area of arid area in the middle reaches, Yingke oasis intensive observation area", "ds_space_res": "", "ds_projection": "", "ds_process_way": "On 2008-07-09, the ASD spectrometer of Remote Sensing Institute (RSI), 50% gray plate of RSI, LI-6400 photosynthesizer of RSI, and SUNSCAN canopy analyzer of Beijing Academy of Agriculture and Forestry (BAFA) were used in the corn field of Yingke Oasis to observe the daily changes of the canopy spectrum of maize, the photosynthesis of the leaves as well as the information on the FPAR, etc. in a fixed position respectively.
\nSpectral pre-processing data source: calibration lamp data (No. 64831) accompanying the spectrometer. Reference calibration data: irradiance spectral data acquired synchronously on July 9, 2008 by 1050 spectrometer of Beijing Academy of Agriculture and Forestry. Calibration data of 50% gray plate and 99% white plate of the Institute of Remote Sensing. The data were exported as irradiance information using the spectrometer's companion calibration lamp data and fitted according to the reference irradiance information.
\nSpectral data calibration methods:\n
\n① Using ASD software and calibration lamp files, export the raw DN value data to Radiance data and convert to a readable Excel file.
\n② Use the same software to process the 1050 spectrometer acquired at the same place at the same time, and utilize the reflectance information of the reference plate (99% of the white plate of the Institute of Remote Sensing) to obtain the solar irradiance information at that time. Solar irradiance = reference plate irradiance / reference plate reflectance.
\n③ The spectral sampling interval of the Beijing Academy of Agriculture and Forestry is 1.438nm, which is interpolated to the interval of 1nm using the segmented bottom interpolation method.
\n④ Select the spectral information acquired by two spectrometers at the same time, convert the irradiance information of the reference plate of remote sensing into solar irradiance information (the same as 2), and compare with the data processed by the other spectrometer using scatter plots. The set of data with the best complex correlation coefficient was selected to obtain its fitted data for all irradiance brightness data acquired by the 68731 spectrometer at the Remote Sensing Institute. The fitting formula is: b=16.087a (a: irradiance before fitting, b: irradiance after fitting).
\nCorn leaf photosynthesis was measured by LI-6400 photosynthesizer, and the raw data were imported into Excel table, classified and summarized according to the measured leaf information, and the daily change data of each leaf was stored as a unit.
\nPhotosynthetically active radiation data description: PAR reaching the canopy, µmol m-2 s-1; surface transmission PAR, µmol m-2 s-1; canopy reflection PAR, µmol m-2 s-1; surface reflection PAR, µmol m-2 s-1; Spread: coefficient of variation of light intensity along the probe; APAR: canopy absorption of photosynthetically active radiation, µmol m-2 s-1; Spread: coefficient of variation of light intensity along the probe; APAR: canopy absorption of photosynthetically active radiation, µmol m-2 s-1; Spread: photosynthetic intensity change factor along the probe; APAR: canopy absorption of photosynthetically effective radiation, µmol m-2 s-1 APAR: canopy absorption of photosynthetically active radiation (PAR), µmol m-2 s-1; FPAR: proportion of solar photosynthetically active radiation intercepted by the canopy. In the corn and wheat sample plots in Yingke Oasis, the canopy photosynthesis was measured by SUNSCAN canopy analyzer, and photos were taken by digital camera, and the daily changes of PAR in the canopy of corn and wheat were observed at fixed points. Measurements were made in three segments, upper and lower, and both incident and reflected FPAR were measured. Raw data were recorded directly from the instrumental observations and organized in WORD table format. Data storage is divided into: SUNCAN daily variation data, photo data. Description of photosynthesis data: Raw data were imported into an Excel sheet, categorized and summarized according to the measured leaf information, and the daily change data for each leaf were stored as a unit. The data include: number (integer); observation time (hour minute second); upper light (floating point, µmol m-2 s-1); upper reflection (floating point, µmol m-2 s-1); lower light (floating point, µmol m-2 s-1); Spread (floating point); lower reflection (floating point, µmol m-2 s-1). Photosynthetically active radiation: FPAR and APAR were calculated using the formula. fPAR=(Arrival canopy PAR - Surface transmission PAR - Canopy reflection PAR + Surface reflection PAR)/Arrival canopy PAR. apar=FPAR x Arrival canopy PAR.
", "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": [ "光合作用", "LI-6400光合仪", "光合有效辐射", "冠层光谱", "叶面积指数", "地物光谱仪（ASD）", "植被", "地面遥感" ], "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" ], "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" }