{"id":"05b5e032-b456-4fd3-a14f-dda8230bd65b","title":"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","title_en":"WATER: Dateset of surface roughness measurements in the A'rou foci experimental area","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":"本数据包括上游寒区水文试验中阿柔样方1（A1），阿柔样方2（A2），阿柔样方3（A3），阿柔样带1（L1），阿柔样带2（L2），阿柔样带3（L3），阿柔样带4（L4），阿柔样带5（L5）和阿柔样带6（L6）中各采样点的粗糙度测量原始照片，及表面高度标准离差（cm）和相关长度（cm）的计算结果。每个采样点均按照南北向和东西向分别测量1次，粗糙度板长110cm，测量点间距1cm。阿柔各样方在预试验期时为3Grid×3Grid，加强试验期时扩展为4Grid×4Grid，每个Grid均为30m×30m；阿柔各样带为南北向朝向，样带上各采样点间距为100m。相片命名规则如下，以A3-1EW为例，表示阿柔样方3（A3）中的1号采样点东西向的粗糙度板测量照片。本数据可为发展和验证微波遥感算法提供基本的地面数据集。\n粗糙度数据通过数码照相采集，然后在ArcView软件下，对照片中每根辐条的顶端以及板子的四角做手工数字化采样，获得其图像坐标值，经过几何校正后，计算得到每根辐条的高度，然后按公式计算表面高度标准离差和表面相关长度。其计算公式见《微波遥感》第二卷234-236页。\n粗糙度数据中首先是样点名称，之后数据正文包括4列（编号、文件名、标准离差、相关长度）。每一个文件名，即txt文件对应一张采样照片，标准离差（cm）与相关长度（cm）即代表了粗糙度。之后是每张照片中101根辐条的长度，属于中间结果，用以检查校正。\n本数据集按照每个样方和样带分别组织，共包括9个文件夹，分别为：ARou_SampleArea1，ARou_SampleArea2，ARou_SampleArea3，ARou_SampleLine1，ARou_SampleLine2，ARou_SampleLine3，ARou_SampleLine4，ARou_SampleLine5和ARou_SampleLine6。","doi":"10.3972/water973.0022.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":649.6,"share_policy":"a","ts_created":"2013-10-18T13:33:42+08:00","doi_type":null,"ts_updated":"2021-04-19T10:14:32.178452+08:00","time_description":null,"datas_group":3,"time_description_en":null,"data_format":"JPG","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, 车涛, 曹永攀, 韩旭军, 李新, 李哲, 王树果. 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. 中国科学院寒区旱区环境与工程研究所. 2008. doi:10.3972/water973.0022.db [Jin Rui, Che Tao, Cao Yongpan, Han Xujun, Li Xin, Li Zhe, Wang Shuguo. WATER: Dateset of surface roughness measurements in the A'rou foci experimental area. Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences. 2008. doi:10.3972/water973.0022.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":13585}