本数据来自2008年7月5日在阿柔试验区样方1、阿柔样方2和阿柔样方3开展的针对Envisat ASAR数据的地面同步观测试验，观测项目包括样方调查、地物光谱、BRDF、光合数据、土壤水分和土壤温度。获取了2008年7月5日的Envisat ASAR数据，为AP模式，VV/VH极化组合方式，过境时间约为11:14BJT。本数据可为发展和验证Envisat ASAR遥感反演土壤水分提供基本的地面数据集。阿柔样方1、阿柔样方2和阿柔样方3均为4Grid×4Grid，每个Grid为30m×30m。\n
\n1. 样方调查：阿柔样方2和阿柔样方3。调查内容：GPS位置、物种、数量、自然高度、物候、盖度、叶绿素。\n
\n（1）GPS点号，用GARMIN GPS 76记录。\n
\n（2）物种采用人工识别的方法。\n
\n（3）数量采用人工数的方法。\n
\n（4）自然高度用卷尺测量，4－5个重复。\n
\n（5）物候采样人工估计的方法。\n
\n（6）盖度采用50cm×50cm的网格，网格大小为5cm×5cm，人工估计的方法。\n
\n（7）叶绿素含量用SPAD 502 叶绿素仪测量，多个重复。\n
\n2. 地物光谱。观测仪器：ASD FieldSpec光谱仪，350～2 500 nm。参考板信息：20%参考板。观测目标：狼毒和牧草。数据存储：预处理后的冠层光谱数据。\n
\n3. BRDF观测仪器：ASD FieldSpec光谱仪，350～2 500 nm；参考板信息20%参考板；处理后的反射率和透射率是文本格式。\n
\n4. 光合数据测量仪器：LI-6400。测量对象：狼毒和牧草。操作规范：操作过程请参考联合试验操作规范。处理数据以Excel保存。\n
\n5. 土壤水分测量方法：WET土壤水分速测仪。测点数量：25个测量位置：在30 m×30m的格子的角点上测量。记录信息：采样时间、土壤水分（%vol）、Ecp（ms/m）、Tmp Eb、Ecb（ms/m）。\n
\n6. 土壤温度测量方法：手持式红外温度计。测点数量：25个测量位置：在30 m×30m的格子的角点上测量。记录信息：采样时间、3次重复的红外温度、地表覆盖类型描述。\n
\n数据集包括：\n
\n（1）7月5日和7月6日的冠层光谱反射率数据；\n
\n（2）7月5日和7月6日的光合数据；\n
\n（3）7月5日的BRDF数据\n
\n（4）7月5日鱼眼相机拍摄相片\n
\n（5）7月5日红外地表温度和WET土壤水分速测仪数据\n
\n（6）7月5日样地生物量数据\n
（7）7月6日第三航线样方地表温度数据表。
", "ds_source": "针对Envisat ASAR数据的地面同步观测试验，观测项目包括样方调查、地物光谱、BRDF、光合数据、土壤水分和土壤温度。获取了Envisat ASAR数据，为AP模式，VV/VH极化组合方式，过境时间约为11:14BJT。本数据可为发展和验证Envisat ASAR遥感反演土壤水分提供基本的地面数据集。阿柔样方1、阿柔样方2和阿柔样方3均为4Grid×4Grid，每个Grid为30m×30m。\n
\nASAR数据为AP模式，VV/VH极化组合方式，过境时间约为11:29BJT。阿柔样方2由于靠近河谷温度较低，积雪尚未融化，因此主要开展积雪参数的同步观测试验，而阿柔样方1和阿柔样方3积雪已消融，主要开展土壤冻融状况和土壤水分的同步观测试验。\n
\n在阿柔样方2采用POGO便携式土壤水分传感器获得土壤温度、土壤体积含水量、损耗正切、土壤电导率、土壤复介电常数实部及虚部；针式温度计获得0-5cm平均土壤温度；手持式热红外温度计获得3次地表辐射温度；并采用100cm^3环刀取土经烘干获得重量含水量、土壤容重及体积含水量。\n
\n在阿柔样方3采用POGO便携式土壤水分传感器获得土壤温度、土壤体积含水量、损耗正切、土壤电导率、土壤复介电常数实部及虚部；ML2X土壤水分速测仪获取土壤体积含水量；针式温度计获得0-5cm平均土壤温度；手持式热红外温度计获得3次地表辐射温度；并采用100cm^3环刀取土经烘干获得重量含水量、土壤容重及体积含水量。", "ds_process_way": "
\n样方调查：阿柔样方2和阿柔样方3。调查内容：GPS位置、物种、数量、自然高度、物候、盖度、叶绿素。（1）GPS点号，用GARMIN GPS 76记录。（2）物种采用人工识别的方法。（3）数量采用人工数的方法。（4）自然高度用卷尺测量，4－5个重复。（5）物候采样人工估计的方法。（6）盖度采用50cm×50cm的网格，网格大小为5cm×5cm，人工估计的方法。（7）叶绿素含量用SPAD 502 叶绿素仪测量，多个重复。\n
\n观测仪器：ASD FieldSpec光谱仪，350～2 500 nm。参考板信息：20%参考板。观测目标：狼毒和牧草。数据存储：预处理后的冠层光谱数据。\n
\nBRDF观测仪器：ASD FieldSpec光谱仪，350～2 500 nm；参考板信息20%参考板；处理后的反射率和透射率是文本格式。\n
\n光合数据测量仪器：LI-6400。测量对象：狼毒和牧草。操作规范：操作过程请参考联合试验操作规范。处理数据以Excel保存。\n
\n土壤水分测量方法：WET土壤水分速测仪。测点数量：25个测量位置：在30 m×30m的格子的角点上测量。记录信息：采样时间、土壤水分（%vol）、Ecp（ms/m）、Tmp Eb、Ecb（ms/m）。
\n\n土壤温度测量方法：手持式红外温度计。测点数量：25个测量位置：在30 m×30m的格子的角点上测量。记录信息：采样时间、3次重复的红外温度、地表覆盖类型描述。
", "ds_quality": "\n数据质量良好
", "ds_acq_start_time": "2008-07-18 00:00:00", "ds_acq_end_time": "2008-07-19 00:00:00", "ds_acq_place": "黑河流域,阿柔加密观测站,上游寒区水文实验站", "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": 629869027, "ds_files_count": 2, "ds_format": "excel", "ds_space_res": null, "ds_time_res": "时", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "4a66f71b-c13f-42e9-b580-6f9732311d51.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": "", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2021-08-27 09:42:20", "last_updated": "2025-06-30 16:05:45", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.NIEER.2021.1849", "i18n": { "en": { "title": "Heihe River Integrated Remote Sensing joint test: ENVISAT ASAR ground synchronous observation data set in ARW encrypted observation area (July 5-6, 2008)", "ds_format": "excel", "ds_source": "The ground synchronous observation test for ENVISAT ASAR data includes quadrat survey, surface feature spectrum, BRDF, photosynthetic data, soil moisture and soil temperature. ENVISAT ASAR data is obtained, which is AP mode, VV / VH polarization combination mode, and the transit time is about 11:14bjt. This data can provide a basic ground data set for the development and verification of ENVISAT ASAR remote sensing inversion of soil moisture. A rou sample 1, a rou sample 2 and a rou sample 3 are 4grid × 4grid, 30m per grid × 30m。\n
\nASAR data is AP mode, VV / VH polarization combination mode, and the transit time is about 11:29bjt. Due to the low temperature close to the river valley and the snow has not melted, the Airou sample 2 mainly carries out the synchronous observation test of snow parameters, while the snow of Airou sample 1 and Airou sample 3 has melted, and mainly carries out the synchronous observation test of soil freezing and thawing status and soil moisture.\n
\nPogo portable soil moisture sensor was used to obtain the real and imaginary parts of soil temperature, soil volume moisture content, loss tangent, soil conductivity and soil complex dielectric constant; Needle thermometer to obtain 0-5cm average soil temperature; The hand-held thermal infrared thermometer obtains the surface radiation temperature for 3 times; The soil is taken with a 100cm ^ 3 ring knife and dried to obtain the weight water content, soil bulk density and volume water content.\n
\nThe real and imaginary parts of soil temperature, soil volume water content, loss tangent, soil conductivity and soil complex dielectric constant were obtained by pogo portable soil moisture sensor in arrou quadrat 3; Ml2x soil moisture quick tester obtains soil volume water content; Needle thermometer to obtain 0-5cm average soil temperature; The hand-held thermal infrared thermometer obtains the surface radiation temperature for 3 times; The soil is taken with a 100cm ^ 3 ring knife and dried to obtain the weight water content, soil bulk density and volume water content.", "ds_quality": "
\nGood data quality
", "ds_ref_way": "", "ds_abstract": "This data comes from the ground synchronous observation test for ENVISAT ASAR data carried out in sample 1, sample 2 and sample 3 of ARW experimental area on July 5, 2008. The observation items include sample survey, surface feature spectrum, BRDF, photosynthetic data, soil moisture and soil temperature. ENVISAT ASAR data on July 5, 2008 was obtained, which is AP mode, VV / VH polarization combination mode, and the transit time is about 11:14bjt. This data can provide a basic ground data set for the development and verification of ENVISAT ASAR remote sensing inversion of soil moisture. A rou sample 1, a rou sample 2 and a rou sample 3 are 4grid × 4grid, 30m per grid × 30m。\n
\n1. Quadrat survey: a rou quadrat 2 and a rou quadrat 3. Survey contents: GPS location, species, quantity, natural height, phenology, coverage and chlorophyll.\n
\n（ 1) GPS point number, recorded with Garmin GPS 76.\n
\n（ 2) Species were identified manually.\n
\n（ 3) The quantity adopts the method of labor quantity.\n
\n（ 4) The natural height shall be measured with a tape measure, with 4-5 repetitions.\n
\n（ 5) Phenological sampling and manual estimation method.\n
\n（ 6) The coverage is 50cm × 50cm grid, the grid size is 5cm × 5cm, manual estimation method.\n
\n（ 7) The chlorophyll content was measured with SPAD 502 chlorophyll meter, with multiple repetitions.\n
\n2. Feature spectrum. Observation instrument: ASD FieldSpec spectrometer, 350 ~ 2500 nm. Reference plate information: 20% reference plate. Observation target: Stellera chamaejasme and herbage. Data storage: preprocessed canopy spectral data.\n
\n3. BRDF observation instrument: ASD FieldSpec spectrometer, 350 ~ 2500 nm; Reference board information 20% reference board; The processed reflectivity and transmittance are in text format.\n
\n4. Photosynthetic data measuring instrument: Li-6400. Measured objects: Stellera chamaejasme and herbage. Operation specification: please refer to the joint test operation specification for the operation process. Process the data and save it in Excel.\n
\n5. Soil moisture measurement method: wet soil moisture quick tester. Number of measuring points: 25 measuring positions: at 30m × Measured on the corner of 30m grid. Record information: sampling time, soil moisture (% vol), ECP (MS / M), TMP EB, ECB (MS / M).\n
\n6. Soil temperature measurement method: hand held infrared thermometer. Number of measuring points: 25 measuring positions: at 30m × Measured on the corner of 30m grid. Record information: sampling time, infrared temperature repeated for 3 times, description of surface coverage type.\n
\nThe dataset includes:\n
\n（ 1) Canopy spectral reflectance data on July 5 and July 6;\n
\n（ 2) Photosynthetic data on July 5 and July 6;\n
\n（ 3) BRDF data on July 5\n
\n（ 4) Fish eye camera took photos on July 5\n
\n（ 5) Data of infrared surface temperature and wet soil moisture on July 5\n
\n（ 6) Biomass data of sample plot on July 5\n
（ 7) Surface temperature data of the third route quadrat on July 6
", "ds_time_res": "时", "ds_acq_place": "Heihe River Basin, a rou densification observation station, upstream cold region hydrological Experiment Station", "ds_space_res": "", "ds_projection": "", "ds_process_way": "\nQuadrat survey: a rou quadrat 2 and a rou quadrat 3. Survey contents: GPS location, species, quantity, natural height, phenology, coverage and chlorophyll（ 1) GPS point number, recorded with Garmin GPS 76（ 2) Species were identified manually（ 3) The quantity adopts the method of labor quantity（ 4) The natural height shall be measured with a tape measure, with 4-5 repetitions（ 5) Phenological sampling and manual estimation method（ 6) The coverage is 50cm × 50cm grid, the grid size is 5cm × 5cm, manual estimation method（ 7) The chlorophyll content was measured with SPAD 502 chlorophyll meter, with multiple repetitions.\n
\nObservation instrument: ASD FieldSpec spectrometer, 350 ~ 2500 nm. Reference plate information: 20% reference plate. Observation target: Stellera chamaejasme and herbage. Data storage: preprocessed canopy spectral data.\n
\nBRDF observation instrument: ASD FieldSpec spectrometer, 350 ~ 2500 nm; Reference board information 20% reference board; The processed reflectivity and transmittance are in text format.\n
\nPhotosynthetic data measuring instrument: Li-6400. Measured objects: Stellera chamaejasme and herbage. Operation specification: please refer to the joint test operation specification for the operation process. Process the data and save it in Excel.\n
\nSoil moisture measurement method: wet soil moisture rapid tester. Number of measuring points: 25 measuring positions: at 30m × Measured on the corner of 30m grid. Record information: sampling time, soil moisture (% vol), ECP (MS / M), TMP EB, ECB (MS / M).\n
\nSoil temperature measurement method: hand held infrared thermometer. Number of measuring points: 25 measuring positions: at 30m × Measured on the corner of 30m grid. Record information: sampling time, infrared temperature repeated for 3 times, description of surface coverage type.
", "ds_ref_instruction": "This 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": [ "GPR探地雷达", "地面同步观测", "雪密度", "雪粒径", "ASAR", "地表温度", "雪反照率", "土壤冻融", "积雪", "ASD光谱仪", "样地生物量", "雪光谱", "雪表面温度", "WET土壤水分速测仪", "雪层温度", "针式温度计", "土壤水分", "POGO便携式土壤水分传感器", "土壤温度", "地表辐射温度", "介电常数", "ML2X土壤水分速测仪", "雪土界面温度", "BRDF数据", "冠层光谱反射率", "鱼眼拍摄相片", "手持显微镜", "光合数据", "手持红外温度计", "PR2土壤剖面水分速测仪", "土壤电导率" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "黑河流域", "阿柔加密观测区", "上游寒区水文试验区" ], "ds_time_tags": [ 2008 ], "ds_contributors": [ { "true_name": "晋锐", "email": "jinrui@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": "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": "马明国", "email": "mmg@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": "汪洋", "email": "wangyang@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "" } ], "ds_meta_authors": [ { "true_name": "晋锐", "email": "jinrui@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": "汪洋", "email": "wangyang@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "" } ], "ds_managers": [ { "true_name": "晋锐", "email": "jinrui@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "category": "遥感及产品" }