{"id":"023474e5-57b9-4132-9e9c-0f3d57138bd0","title":"天涝池森林树高空间分布数据","title_en":"Distribution of tree height in Tianlaochi","serial":"黑河计划","user_limit":"为尊重知识产权、保障数据作者的权益、扩展数据中心的服务、评估数据的应用潜力，请数据使用者在使用数据所产生的研究成果中（包括公开发表的论文、论著、数据产品和未公开发表的研究报告、数据产品等成果），明确注明数据来源和数据作者。对于转载（二次或多次发布）的数据，作者还须注明原始数据来源。","instructions":"","description":"样地调查数据为，于2013年8月份，在天涝池流域设置森林样地30块，样地规格为10 m×20 m，样地长边与山坡走向平行，其中青海云杉林26块，祁连圆柏林2块，云杉圆柏混交林2块，在样地内，采用围尺测量每株树木的胸径（树干1.3 m高度处的直径），采用手持超声波测高器测量每株树木的树高、枝下高（树冠下端第一活枝的高度），采用皮尺测量南北方向和东西方向冠幅，利用差分GPS对样地进行定位。\n采用HASM-AD算法的并行版本对已分类好的LIDAR点云数据进行模拟，由地面点生成DEM，由所有点生成DSM，对DSM与DEM做作差值运算即得到地表地物的高度，在森林区域，即为树冠高度模型（Canopy Height Model，CHM）。用给定搜索半径的圆形窗口，在CHM上查找局部最大值，若圆心象元值为最大值，则判定为树冠顶点，树顶点的像元属性值即为树高，空间分辨率为1m。","doi":"doi:10.3972/heihe.0238.2016.db","projection":"4326","language":"zh","share_type":"online","east":99.952784,"west":99.896626,"south":38.448703,"north":38.399217,"scale":null,"crs":null,"filesize":5.0,"share_policy":"a","ts_created":"2016-04-10T16:49:50+08:00","doi_type":null,"ts_updated":"2021-04-19T21:59:22.295863+08:00","time_description":"","datas_group":3,"time_description_en":null,"data_format":"tif","project":[10,11,15],"specials":["4e7b97a6-ee1f-4b51-83e5-04a100993973"],"cite":"王轶夫,岳天祥,赵明伟,杜正平,刘向锋,刘爽,宋二非,孙文正,张彦丽.机载LIDAR数据的树高识别算法与应用分析.地球信息科学学报,2014,06:958-964.","review_status":5,"review_invite":[],"review_editor":null,"data_sources":"","temporal_resolution":null,"spatial_resolution":null,"license":"Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","fund":[],"subtopics":{"metadata":"023474e5-57b9-4132-9e9c-0f3d57138bd0","three_pole":null,"third_pole":null},"username":"赵娜","review_time":null,"protected_duration":6,"protected_describe":null,"is_important":false,"hit_count":11404}