2008年03月15日，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。Envisat ASAR数据为AP模式，VV/VH极化组合方式，过境时间约为11:35BJT。阿柔样方2和阿柔样方3均为4Grid×4Grid，每个Grid为30m×30m。为保证同步效率，仅在每个Grid的角点进行采样测量。\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。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_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": "
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。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": "2008-03-15 00:00:00", "ds_acq_end_time": "2008-03-16 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": 371899870, "ds_files_count": 2, "ds_format": "excel", "ds_space_res": null, "ds_time_res": "时", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "a6571653-f2da-4da2-a41e-4cbc2fc585b3.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。\r\n数据引用方式", "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.db1742.2022", "subject_codes": [ "170.5067" ], "quality_level": 3, "publish_time": "2021-09-14 09:57:43", "last_updated": "2023-09-05 09:12:38", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.NIEER.2021.1", "i18n": { "en": { "title": "Heihe River Integrated Remote Sensing joint test: ENVISAT ASAR ground synchronous observation data set in aryo encrypted observation area (March 15, 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 March 15, 2008, the ground synchronous observation test of ENVISAT ASAR data was carried out in ajoufang 2 and ajoufang 3. ENVISAT ASAR data is AP mode, VV / VH polarization combination mode, and the transit time is about 11:35bjt. Both a rou quadrat 2 and a rou quadrat 3 are 4grid × 4grid, 30m per grid × 30m。 In order to ensure synchronization efficiency, sampling measurement is only carried out at the corner of each grid.\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 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. This 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_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": "Pogo 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 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. This 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.\r\nData referencing method" } }, "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": [ "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": [ "遥感地质学" ], "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": "韩旭军", "email": "hanxj@lzb.ac.cn", "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": "韩旭军", "email": "hanxj@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "ds_managers": [ { "true_name": "韩旭军", "email": "hanxj@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" }