2008年3月15日在冰沟流域加密观测区进行Envisat ASAR同步观测，主要目的是研究利用主动雷达数据反演积雪参数方法。Envisat ASAR数据为AP模式，VV/VH极化组合方式，过境时间约为11:34BJT。\n观测内容包括\n
\n1）雪特性分析仪观测数据，观测变量包括雪密度，雪复介电常数，雪体积含水量，雪重量含水量。观测数据在BG-B、BG-D、BG-E、BG-F内获取，雪特性分析仪数据统一存放在雪特性分析仪文件夹中。\n
\n2）积雪参数观测数据，观测变量包括雪表面和雪土界面温度（手持式红外温度计）、分层积雪温度 （针式温度计）、雪粒径（手持式显微镜量）、雪密度（铝盒式测量）、雪深（尺子）以及ASAR过境时同步的雪表面温度 （手持式红外温度计）。积雪参数观测在分别样方BG-H、BG-D、BG-E、BG-F进行。\n
\n3）积雪光谱观测数据，采用新疆气象局光谱仪在样方BG-H15进行ASAR同步光谱观测试验。同时利用自制不同粒径雪样筛，通过筛子筛选积雪，人工制造不同粒径的雪层结构，测量其表面光谱特性，并对雪层的粒径的长短轴以及形状进行了观测。\n
\n该数据集包括原始数据和预处理数据2个文件夹。
", "ds_source": "\n利用主动雷达数据反演积雪参数方法。Envisat ASAR数据为AP模式，VV/VH极化组合方式，过境时间约为11:34BJT。
", "ds_process_way": "观测内容包括：\n
\n1）雪特性分析仪观测数据，观测变量包括雪密度，雪复介电常数，雪体积含水量，雪重量含水量。观测数据在BG-B、BG-D、BG-E、BG-F内获取，雪特性分析仪数据统一存放在雪特性分析仪文件夹中。\n
\n2）积雪参数观测数据，观测变量包括雪表面和雪土界面温度（手持式红外温度计）、分层积雪温度 （针式温度计）、雪粒径（手持式显微镜量）、雪密度（铝盒式测量）、雪深（尺子）以及ASAR过境时同步的雪表面温度 （手持式红外温度计）。积雪参数观测在分别样方BG-H、BG-D、BG-E、BG-F进行。\n
\n3）积雪光谱观测数据，采用新疆气象局光谱仪在样方BG-H15进行ASAR同步光谱观测试验。同时利用自制不同粒径雪样筛，通过筛子筛选积雪，人工制造不同粒径的雪层结构，测量其表面光谱特性，并对雪层的粒径的长短轴以及形状进行了观测。", "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", "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": "apply-access", "ds_total_size": 286106122, "ds_files_count": 2, "ds_format": "excel", "ds_space_res": null, "ds_time_res": "时", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "18406b74-4b80-4611-94f0-2993fd392fbc.png", "ds_thumb_from": 0, "ds_ref_way": "白云洁, 盖春梅, 郝晓华, 李弘毅, 梁继, 舒乐乐, 王旭峰，黑河综合遥感联合试验：冰沟流域加密观测区Envisat ASAR地面同步观测数据集（2008年3月15日），国家冰川冻土沙漠科学数据中心(http://www.ncdc.ac.cn/)，2019，doi：10.12072/ncdc.NIEER.db1746.2022", "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.db1746.2022", "subject_codes": null, "quality_level": 3, "publish_time": "2021-09-09 11:07:05", "last_updated": "2022-09-09 09:48:18", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.NIEER.db0005.2022", "i18n": { "en": { "title": "Heihe River Integrated Remote Sensing joint experiment: ENVISAT ASAR ground synchronous observation data set in intensive observation area of Binggou basin (March 15, 2008)", "ds_format": "", "ds_source": "
\nA method of snow parameter inversion using active radar data. ENVISAT ASAR data is AP mode, VV / VH polarization combination mode, and the transit time is about 11:34bjt.
", "ds_quality": "Good data quality", "ds_ref_way": "", "ds_abstract": "
ENVISAT ASAR synchronous observation was carried out in the intensive observation area of Binggou basin on March 15, 2008. The main purpose is to study the method of snow cover parameter inversion using active radar data. ENVISAT ASAR data is AP mode, VV / VH polarization combination mode, and the transit time is about 11:34bjt.\nObservation contents include\n
\n1) The observed data of snow characteristic analyzer include snow density, snow complex dielectric constant, snow volume water content and snow weight water content. The observation data are obtained in bg-b, bg-d, bg-e and bg-f, and the snow characteristic analyzer data are uniformly stored in the snow characteristic analyzer folder.\n
\n2) Snow parameter observation data. The observation variables include snow surface and snow soil interface temperature (hand-held infrared thermometer), layered snow temperature (needle thermometer), snow particle size (hand-held microscope), snow density (aluminum box measurement), snow depth (ruler) and synchronous snow surface temperature during ASAR crossing (hand-held infrared thermometer). Snow parameters are observed in quadrats bg-h, bg-d, bg-e and bg-f.\n
\n3) Based on the snow spectral observation data, ASAR synchronous spectral observation test was carried out on the sample bg-h15 by using the spectrometer of Xinjiang Meteorological Bureau. At the same time, the snow sample sieve with different particle sizes was used to screen the snow through the sieve, the snow layer structure with different particle sizes was artificially manufactured, the surface spectral characteristics were measured, and the long and short axes and shapes of the snow layer were observed.\n
\nThe dataset includes two folders: original data and preprocessed data.
", "ds_time_res": "时", "ds_acq_place": "", "ds_space_res": "", "ds_projection": "", "ds_process_way": "Observation contents include:\n
\n1) The observed data of snow characteristic analyzer include snow density, snow complex dielectric constant, snow volume water content and snow weight water content. The observation data are obtained in bg-b, bg-d, bg-e and bg-f, and the snow characteristic analyzer data are uniformly stored in the snow characteristic analyzer folder.\n
\n2) Snow parameter observation data. The observation variables include snow surface and snow soil interface temperature (hand-held infrared thermometer), layered snow temperature (needle thermometer), snow particle size (hand-held microscope), snow density (aluminum box measurement), snow depth (ruler) and synchronous snow surface temperature during ASAR crossing (hand-held infrared thermometer). Snow parameters are observed in quadrats bg-h, bg-d, bg-e and bg-f.\n
\n3) Based on the snow spectral observation data, ASAR synchronous spectral observation test was carried out on the sample bg-h15 by using the spectrometer of Xinjiang Meteorological Bureau. At the same time, the snow sample sieve with different particle sizes was used to screen the snow through the sieve, the snow layer structure with different particle sizes was artificially manufactured, the surface spectral characteristics were measured, and the long and short axes and shapes of the snow layer were observed.", "ds_ref_instruction": " " } }, "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": [ "雪特性分析仪", "雪粒径", "ASAR", "雪表面温度", "积雪光谱", "雪体积含水量", "雪重量含水量", "雪层温度" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "冰沟流域加密观测区", "上游寒区水文试验区", "黑河流域" ], "ds_time_tags": [ 2008 ], "ds_contributors": [ { "true_name": "白云洁", "email": "baiyj27@163.com", "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": "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": "李弘毅", "email": "lihongyi@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": "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": "王旭峰", "email": "wangxufeng@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": "戴礼云", "email": "dailiyun@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": "戴礼云", "email": "dailiyun@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" }