{"id":"274af501-7713-438a-a2f5-5bebc33f74f8","title":"黑河综合遥感联合试验：阿柔加密观测区Envisat ASAR地面同步观测数据集（2008年3月15日）","title_en":"WATER: Dataset of ground truth measurements synchronizing with Envisat ASAR in the A'rou foci experimental areas on Mar. 15, 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。\nEnvisat 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。","doi":"10.3972/water973.0006.db","projection":"4326","language":"zh","share_type":"online","east":100.55,"west":100.411,"south":38.015,"north":38.078,"scale":null,"crs":null,"filesize":531.8,"share_policy":"a","ts_created":"2013-10-17T04:43:40+08:00","doi_type":null,"ts_updated":"2021-04-19T10:57:00.145181+08:00","time_description":null,"datas_group":3,"time_description_en":null,"data_format":"EXCEL","project":[10,11,15],"specials":["2ee7e876-6f20-43a7-9c6c-979840a33ef2","70b8f038-a99f-4be4-a349-f82de21a2b6b","6740cd00-6d20-4855-a39b-863af216b0a2","4e7b97a6-ee1f-4b51-83e5-04a100993973"],"cite":"晋锐, 王维真, Patrick Klenk, 曹永攀, 顾娟, 韩旭军, 李哲, 历华, 吴月茹, 于梅艳, 袁小龙, 赵金.黑河综合遥感联合试验：阿柔加密观测区Envisat ASAR地面同步观测数据集（2008年3月15日）. 中国科学院寒区旱区环境与工程研究所; 中国科学院遥感应用研究所; 中国科学院新疆生态与地理研究所; 海德堡大学; 兰州大学. 2008. doi:10.3972/water973.0006.db [Jin Rui, Wang Weizhen, Patrick Klenk, Cao Yongpan, Gu Juan, Han Xujun, Li Zhe, Li Hua, Wu Yueru, Yu Meiyan, Yuan Xiaolong, Zhao Jin. WATER: Dataset of ground truth measurements synchronizing with Envisat ASAR in the A'rou foci experimental areas on Mar. 15, 2008. Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences; Institute of Remote Sensing Applications, Chinese Academy of Sciences; Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences; Heidelberg University; Lanzhou University. 2008. doi:10.3972/water973.0006.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":12972}