{"id":"b18d294c-e844-4cd1-9681-ec7359353e86","title":"黑河综合遥感联合试验：临泽草地加密观测区ALOS PALSAR地面同步观测数据集（2008年6月27日）","title_en":"WATER: Dataset of ground truth measurement synchronizing with ALOS PALSAR in the Linze grassland foci experimental area on Jun. 27, 2008","serial":"黑河综合遥感联合试验","user_limit":"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。","instructions":null,"description":"2008年6月27日，在临泽草地加密观测区样方A（芦苇地），样方B（盐碱地），样方D（苜蓿地）和样方E（大麦地）开展了ALOS PALSAR数据的地面同步观测。\nALOS PALSAR数据为FBD模式，HH/HV极化组合方式，过境时间约为23:41BJT。主要观测变量为土壤水分。本数据可为发展和验证主动微波遥感反演土壤水分和土壤盐分算法提供基本的地面数据集。\n本数据观测在120m×120m，6Grid×6Grid样方内展开。观测内容为：样方A和样方B采用环刀取土经烘干获得重量含水量、体积含水量及土壤容重；针式温度计获得0-5cm平均土壤温度；样方D和样方E采用POGO便携式土壤传感器获得土壤温度、土壤水分、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；并采用环刀取土经烘干获得重量含水量、体积含水量及土壤容重。\n本数据集包括4个样方的土壤水分测量数据Excel表格。\n样方样带的分布信息请参见元数据“黑河综合遥感联合试验：临泽草地加密观测区样方样带布置”。","doi":"10.3972/water973.0069.db","projection":"4326","language":"zh","share_type":"online","east":100.095,"west":100.037,"south":39.225,"north":39.268,"scale":null,"crs":null,"filesize":3996.8,"share_policy":"a","ts_created":"2013-10-13T06:37:58+08:00","doi_type":null,"ts_updated":"2021-04-19T10:46:01.094690+08:00","time_description":null,"datas_group":3,"time_description_en":null,"data_format":"EXCEL","project":[10,11,15],"specials":["876b2512-2082-49eb-91cf-260468bf908c","79c827fe-109a-4466-b115-d165502bb482","6740cd00-6d20-4855-a39b-863af216b0a2","4e7b97a6-ee1f-4b51-83e5-04a100993973"],"cite":"晋锐, 王维真, 曹永攀, 钞振华, 盖春梅, 胡晓利, 王静, 王树果, 王旭峰, 吴月茹, 李笑宇. 黑河综合遥感联合试验：临泽草地加密观测区ALOS PALSAR地面同步观测数据集（2008年6月27日）. 中国科学院寒区旱区环境与工程研究所; 中国气象局兰州干旱气象研究所; 华南农业大学. 2008. doi:10.3972/water973.0069.db [Jin Rui, Wang Weizhen, Cao Yongpan, Chao Zhenhua, Ge Chunmei, Hu Xiaoli, Li Xiaoyu, Wang Shuguo, Wang Xufeng, Wu Yueru, Wang Jing. WATER: Dataset of ground truth measurement synchronizing with ALOS PALSAR in the Linze grassland foci experimental area on Jun. 27, 2008. Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences; Lanzhou Institute of Arid Meteorology, China Meteorological Administration; South China Agricultural University. 2008. doi:10.3972/water973.0069.db]","review_status":5,"review_invite":[],"review_editor":null,"data_sources":null,"temporal_resolution":null,"spatial_resolution":null,"license":null,"fund":[35,36],"subtopics":null,"username":"盖春梅","review_time":null,"protected_duration":6,"protected_describe":null,"is_important":false,"hit_count":13214}