{"id":"dbaa2cdc-269f-4fc4-98bf-a85508b528c7","title":"川藏铁路沿线典型植被无人机高光谱遥感数据（2019）","title_en":"Hyperspectral remote sensing data of typical vegetation along Sichuan Tibet Railway (2019)","serial":"","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":"命名方式：采用日期_植被类型_地点_数据类型，例如“2019_grassland_Lasa_Hyperspectral remote sensing data of UAV”，代表2019年在拉萨的草原区域观测的无人机高光谱数据。其中“Hyperspectral remote sensing data_Lasa”为无人机搭载高光谱测定的原始数据，“GPS shooting is used to correct the GPS position points of hyperspectral images”文件为在高光谱拍摄区域用GPS拍摄的定点位置经纬度信息（里面有与高光谱数据对应的文件），用于高光谱影像的校正；“data description”为数据说明文件。\n使用方法：通过Spectronon Pro软件转换为反射率栅格图层，然后利用ENVI软件或其它高光谱处理软件分析。","description":"本数据集是2019年9月川藏铁路沿线典型植被无人机高光谱观测数据，使用的是大疆M600 Resonon成像系统的机载光谱仪。包括2019年在拉萨的草原区域观测的高光谱数据，自带经纬度。高光谱调查时基本为晴天。飞行前进行了白板校准；采集数据时设有靶标（即适于草地的标准反光布），用于光谱校准；设有地面标志点（即有字母的泡沫板照片），并记录了每个标志点的经纬度坐标，用于几何精确校准。无人机高光谱相机记录的dn值，可使用Spectronon Pro软件转换为反射率。高光谱数据用于提取不同植被类型光谱特征、植被分类、反演植被覆盖度等。","doi":"10.11888/Ecolo.tpdc.271238","projection":"","language":"zh","share_type":"protected","east":91.0,"west":90.7,"south":29.0,"north":29.2,"scale":null,"crs":null,"filesize":3389.44,"share_policy":"c","ts_created":"2021-03-31T22:28:40.215273+08:00","doi_type":"拥有自主知识产权","ts_updated":"2021-04-19T22:37:29.181026+08:00","time_description":"","datas_group":0,"time_description_en":"","data_format":null,"project":[11],"specials":["b6500306-f60b-4aa1-b0b6-0324d94866df"],"cite":null,"review_status":5,"review_invite":[{"user_name":"冯敏","username":"mfeng","email":"mfeng@itpcas.ac.cn","is_cancel_expert":false}],"review_editor":{"id":42421,"last_login":"2022-04-08T15:16:51.670544+08:00","username":"任慧霞","email":"510727846@qq.com","is_active":true,"is_staff":true,"user_name":"任慧霞"},"data_sources":null,"temporal_resolution":"Daily","spatial_resolution":"1m - 10m","license":"Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","fund":[21],"subtopics":{"metadata":"dbaa2cdc-269f-4fc4-98bf-a85508b528c7","three_pole":null,"third_pole":null},"username":"吕晓敏","review_time":null,"protected_duration":24,"protected_describe":"用于科考团队后续资料分析和文章发表","is_important":false,"hit_count":1388}