2008年7月14日，在阿柔样方1、阿柔样方2和阿柔样方3开展了Envisat ASAR数据地面同步观测试验，观测项目主要包括土壤水分和土壤温度。Envisat ASAR数据为AP模式，VV/VH极化组合方式，过境时间约为11:31BJT。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和样方3均为4Grid×4Grid，每个Grid为30m×30m。\n
\n土壤水分测量方法：阿柔样方1，POGO便携式土壤水分传感器；阿柔样方2，POGO便携式土壤水分传感器；阿柔样方3，POGO便携式土壤水分传感器；。测点数量：25个测量位置：在30 m×30m的格子的角点上测量。测量变量包括：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\n
\n2. 土壤温度 测量方法：阿柔样方1，手持式红外温度计（北师大3#和北师大5#）；阿柔样方2，手持式红外温度计（北师大1#和北师大4#）；阿柔样方3，手持式红外温度计（北师大2#和北师大6#）。测点数量：25个，两组同时测量，一组从1到25，一组从25到1。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、2次重复的红外温度最大值、最小值、平均值以及地表覆盖类型描述。并针对草地，裸土和狼毒花进行了红外波谱测量，采用仪器为红外波谱仪102F。\n
\n本数据集包括：\n
\n（1）ASAR影像数据文件夹\n
\n（2）红外波谱仪102F预处理数据\n
\n（3）同步试验地表温度记录表\n
\n（4）同步土壤水分（POGO）测量记录表", "ds_source": "
在阿柔样方2和阿柔样方3开展了Envisat ASAR数据的地面同步观测试验", "ds_process_way": "
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。地表粗糙度信息请参见“黑河综合遥感联合试验：阿柔加密观测区地表粗糙度数据集 ”元数据。此外，还在阿柔样方1开展了同步探地雷达观测。\n
\n本数据可为发展和验证主动微波遥感反演土壤水分及冻融状态算法提供基本地面数据集。", "ds_quality": "
数据质量良好", "ds_acq_start_time": "2008-07-14 00:00:00", "ds_acq_end_time": "2008-07-14 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": 100.91666666666667, "ds_acq_lat_south": 38.016666666666666, "ds_acq_lon_west": 100.66666666666667, "ds_acq_lat_north": 38.11666666666667, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 992548, "ds_files_count": 2, "ds_format": "excel", "ds_space_res": null, "ds_time_res": "时", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "0d93c8d4-c477-4092-9e0c-137ee3444ff2.png", "ds_thumb_from": 2, "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.db1713.2022", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2021-09-14 09:57:59", "last_updated": "2023-09-05 09:07:30", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.NIEER.2021.9", "i18n": { "en": { "title": "Heihe River Integrated Remote Sensing joint test: ENVISAT ASAR ground synchronous observation data set in ARW encrypted observation area (July 14, 2008)", "ds_format": "Excel", "ds_source": "
The ground synchronous observation test of ENVISAT ASAR data was carried out in arxo quadrat 2 and arxo quadrat 3", "ds_quality": "
Good data quality", "ds_ref_way": "", "ds_abstract": "
On July 14, 2008, ENVISAT ASAR data ground synchronous observation test was carried out in ajoufang 1, ajoufang 2 and ajoufang 3. The observation items mainly include soil moisture and soil temperature. ENVISAT ASAR data is AP mode, VV / VH polarization combination mode, and the transit time is about 11:31bjt. 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 sample 3 are 4grid × 4grid, 30m per grid × 30m。\n
\nSoil moisture measurement method: a rou sample 1, pogo portable soil moisture sensor; A rou quadrat 2, pogo portable soil moisture sensor; A soft sample 3, pogo portable soil moisture sensor;. Number of measuring points: 25 measuring positions: at 30m × Measured on the corner of 30m grid. The measured variables include soil temperature, soil volume water content, loss tangent, soil conductivity, real and imaginary parts of soil complex dielectric constant\n
\n2. Soil temperature measurement method: a rou quadrat 1, hand-held infrared thermometer (Beijing Normal University 3# and Beijing Normal University 5#); A rou quadrat 2, hand-held infrared thermometer (Beijing Normal University 1# and Beijing Normal University 4#); A rou quadrat 3, hand-held infrared thermometer (Beijing Normal University 2# and Beijing Normal University 6#). Number of measuring points: 25. Two groups are measured at the same time, one from 1 to 25 and the other from 25 to 1. Measuring position: 30 m × Measured on the corner of 30m grid. Record information: sampling time, maximum, minimum and average infrared temperature of two repetitions, and description of surface coverage type. The infrared spectrum of grassland, bare soil and Stellera chamaejasme was measured by infrared spectrometer 102f.\n
\nThis dataset includes:\n
\n（ 1) ASAR image data folder\n
\n（ 2) Preprocessing data of infrared spectrometer 102f\n
\n（ 3) Surface temperature record of synchronous test\n
\n（ 4) Synchronous soil moisture (pogo) measurement record
", "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": "Soil volume water content, loss tangent, soil conductivity, real and imaginary parts of soil complex dielectric constant; Needle thermometer to obtain 0-5cm average soil temperature; The hand-held 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 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. For surface roughness information, please refer to the metadata of \"Heihe integrated remote sensing joint test: surface roughness data set of Aru encrypted observation area\". In addition, synchronous ground penetrating radar observation was carried out in ajoufang 1.\n
\nThis data can provide a basic ground data set for the development and verification of active microwave remote sensing algorithm for retrieving soil moisture and freeze-thaw state.", "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": [ "电导率", "航天遥感", "土壤", "微波遥感", "土壤温度", "土壤湿度", "水分含量" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "黑河流域", "上游寒区水文试验区", "阿柔加密观测区" ], "ds_time_tags": [ 2008 ], "ds_contributors": [ { "true_name": "冉有华", "email": "ranyh@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": "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_meta_authors": [ { "true_name": "冉有华", "email": "ranyh@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": "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": "敏玉芳", "email": "myf@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" }