2008年4月1日，在阿柔加密观测区开展了两次航空遥感飞行，早上针对冻结地表搭载的传感器为LK波段机载微波辐射计（飞行时间8:06~11:17BJT），中午针对融土搭载的传感器为L波段机载微波辐射计和热像仪（飞行时间12:48~16:35BJT）。地面同步观测在阿柔样带2、阿柔样带3、阿柔样带4、阿柔样带5及阿柔样带6展开。每条样带均为南北朝向，各样带上采样点间距约为100m。早上地面同步时自北向南行进，下午同步时自南向北行进。\n
\n在阿柔样带2，阿柔样带4及阿柔样带6的每个采样点，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在阿柔样带3，采用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。\n
\n在阿柔样带5，采用WET土壤水分速测仪测量获得土壤体积含水量、电导率、土壤温度及土壤复介电常数实部；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。此外，还在阿柔样带4开展了手持式热像仪的同步观测。本数据可为发展和验证被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。\n
本数据集包括7个文件或文件夹，分别为：LK波段机载微波辐射计、L波段机载微波辐射计和热像仪、阿柔样带2数据、阿柔样带3数据、阿柔样带4数据、阿柔样带5数据及阿柔样带6数据。
", "ds_source": "载微波辐射计和热像仪、阿柔样带2数据、阿柔样带3数据、阿柔样带4数据、阿柔样带5数据及阿柔样带6数据。", "ds_process_way": "
在阿柔样带2，阿柔样带4及阿柔样带6的每个采样点，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
\n在阿柔样带3，采用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。
\n\n\n在阿柔样带5，采用WET土壤水分速测仪测量获得土壤体积含水量、电导率、土壤温度及土壤复介电常数实部；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\n此外，还在阿柔样带4开展了手持式热像仪的同步观测。本数据可为发展和验证被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。
\n", "ds_quality": "数据质量良好", "ds_acq_start_time": "2008-04-01 00:00:00", "ds_acq_end_time": "2008-04-02 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": 100.59055555555555, "ds_acq_lat_south": 34.35, "ds_acq_lon_west": 100.95, "ds_acq_lat_north": 34.9, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 18290988886, "ds_files_count": 145, "ds_format": "excel", "ds_space_res": null, "ds_time_res": "分、日、次", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "61b2a222-a632-4147-8bb3-611794731cbd.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.db0131.2021", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2021-09-14 09:59:24", "last_updated": "2025-06-30 16:05:46", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.NIEER.2021.25", "i18n": { "en": { "title": "Heihe River Integrated Remote Sensing joint experiment: ground synchronous observation data set of L & K-band airborne microwave radiometer and thermal imager in aryo encrypted observation area (April 1, 2008)", "ds_format": "excel", "ds_source": "
Carry microwave radiometer and thermal imager, flexible sample band 2 data, flexible sample band 3 data, flexible sample band 4 data, flexible sample band 5 data and flexible sample band 6 data.", "ds_quality": "
Good data quality", "ds_ref_way": "", "ds_abstract": "
On April 1, 2008, two aerial remote sensing flights were carried out in the aryo encrypted observation area. In the morning, the sensors carried on the frozen surface are LK band airborne microwave radiometer (flight time 8:06 ~ 11:17bjt), and in the noon, the sensors carried on the molten soil are L band airborne microwave radiometer and thermal imager (flight time 12:48 ~ 16:35bjt). The ground synchronous observation is carried out in arxoid belt 2, arxoid belt 3, arxoid belt 4, arxoid belt 5 and arxoid belt 6. Each sample belt is oriented from north to south, and the spacing of sampling points on each belt is about 100m. In the morning, the ground moves from north to South at the same time, and in the afternoon, it moves from south to North at the same time.\n
\nAt each sampling point of flexible sample belt 2, flexible sample belt 4 and flexible sample belt 6, pogo portable soil moisture sensor is used to obtain the real and imaginary parts of soil temperature, soil volume water 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
\nIn the flexible sample zone 3, the ml2x soil moisture rapid meter was used to obtain the 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.\n
\nIn a flexible sample zone 5, the real parts of soil volume water content, electrical conductivity, soil temperature and soil complex dielectric constant were measured by wet soil moisture meter; 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. In addition, the synchronous observation of handheld thermal imager was carried out in arzoe sample belt 4. This data can provide a basic ground data set for the development and verification of passive microwave remote sensing algorithm for retrieving soil moisture and freeze-thaw state.\n
This dataset includes 7 files or folders: LK-band airborne microwave radiometer, L-band airborne microwave radiometer and thermal imager, flexible sample band 2 data, flexible sample band 3 data, flexible sample band 4 data, flexible sample band 5 data and flexible sample band 6 data
", "ds_time_res": "分、日、次", "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": "At each sampling point of flexible sample belt 2, flexible sample belt 4 and flexible sample belt 6, pogo portable soil moisture sensor is used to obtain the real and imaginary parts of soil temperature, soil volume water 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
\nIn the flexible sample zone 3, the ml2x soil moisture rapid meter was used to obtain the 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\n
\nIn a flexible sample zone 5, the real parts of soil volume water content, electrical conductivity, soil temperature and soil complex dielectric constant were measured by wet soil moisture meter; 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
\nIn addition, the synchronous observation of handheld thermal imager was carried out in arzoe sample belt 4. This data can provide a basic ground data set for the development and verification of passive microwave remote sensing algorithm for retrieving soil moisture and freeze-thaw state", "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, "ds_topic_tags": [ "地表辐射温度", "土壤温度", "土壤含水量", "土壤导电率", "电导率", "土壤", "热像仪", "土壤容重", "微波辐射计", "机载地面遥感’" ], "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": "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": "盖春梅", "email": "Gechm@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": "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" }, { "true_name": "郝晓华", "email": "haoxh@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": "胡泽勇", "email": "zyhu@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "" }, { "true_name": "黄春林", "email": "huangcl@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": "梁继", "email": "leung@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": "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": "王维真", "email": "", "work_for": "中国科学院寒区旱区环境与工程研究", "country": "中国" } ], "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" } ], "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" }