“绿途”系统:公民科学时代的植被调查制图新工具  

LiVegetation: an investigative tool for vegetation mapping in the era of citizen science

作　　者：金时超 胡天宇[1,2] 苏艳军 马勤 关宏灿 杨默含 郭庆华 JIN ShiChao;HU TianYu;SU YanJun;MA Qin;GUAN HongCan;YANG MoHan;GUO QingHua(State Key Laboratory of Vegetation and Environmental Change,Institute of Botany,Chinese Academy of Sciences,Beijing 100093,China;University of Chinese Academy of Sciences,Beijing 100049,China;Plant Phenomics Research Centre,Nanjing Agricultural University,Nanjing 210095,China)

机构地区：[1]中国科学院植物研究所,植被与环境变化国家重点实验室,北京100093 [2]中国科学院大学,北京100049 [3]南京农业大学作物表型组学交叉研究中心,南京210095

出　　处：《中国科学：生命科学》2021年第3期362-374,共13页Scientia Sinica(Vitae)

基　　金：中国科学院战略性先导科技专项(A类)“地球大数据科学专项”(批准号:XDA19050401)资助。

摘　　要：植被图是了解植被空间分布状态和地理格局的地图,是自然资源研究和管理决策的重要辅助信息源.植被制图是以植被调查数据为基础,辅以3S(遥感、地理信息系统、全球定位系统)技术,实现连续区域的植被制图.尽管3S技术得到了快速的发展,但是获取海量的植被群系分布信息依然是大尺度植被制图至关重要的前提,并成为当前植被制图的关键瓶颈.随着智能终端的流行和公民科学的兴起,以个人遥感手段为核心的众包模式为植被群系调查带来了新的发展机遇.本研究开发了一套基于智能手机和网页端服务的植被类型众源采集与分析平台——"绿途"."绿途"系统的手机端支持安卓和iOS系统,主要功能包括数据收集、图层管理、兴趣点管理、轨迹管理、用户信息、数据展示以及其他辅助功能,能高效地在野外采集带有地理位置信息的照片和点位记录."绿途"系统的网页端具备与手机端相应的管理功能,还包括对数据的分级审核功能.2018年7月至今,"绿途"系统已累计采集数据记录108083条,分布于全国的34个省市自治区,覆盖7种植被型组和582个植被群系类型.该系统单日上传的最大数据量为5358条、单人单日上传最大数据总量为2543条."绿途"系统采集的数据作为地面调查样本被成功应用于1:100万中国植被图的更新,并正在服务于1:50万中国植被图的绘制,有望促进更多植被生态领域的科学研究和管理政策制定.Vegetation maps are important for understanding the spatial distribution and geographical pattern of vegetation. Vegetation maps also provide important auxiliary information for natural resource research and management decision-making. Vegetation mapping is based on vegetation survey data. To realize vegetation mapping in continuous areas, the data are supplemented by 3S technology, i.e.,remote sensing, geographic information systems, and global positioning systems. Despite the rapid development of 3S technology,obtaining massive distribution information of vegetation groups remains a crucial prerequisite and also represents a bottleneck for large-scale vegetation mapping. With the increased availability of smart terminals and personal remote sensing devices, combined with the rise of citizen science, the crowdsourcing model has created new opportunities for vegetation formation investigation. In this study, we developed a collection and analysis system for vegetation group information based on smartphones and web services, which we refer to as LiVegetation. The LiVegetation application supports Android and i OS systems, and the main functions include data collection, layer management, point of interest management, trajectory management, user information, and data display. The LiVegetation application can efficiently collect photo and text records with geographic information in the field. The LiVegetation web system provides management functions that correspond to the LiVegetation application as well as a data inspection function with hierarchical experts. Since July 2018, the LiVegetation system has collected 108,083 data records, which are widely distributed across 34 provinces, municipalities, and autonomous regions in China. These data cover seven vegetation group types and 582 vegetation formation types. The maximum number of data uploaded by the system in a single day is 5,358, and the maximum total number of data uploaded by a single person in a single day is 2,543. Data collected by the LiVegetation syste

关 键 词：绿途 植被图 众包 公民科学 APP 网页端 

分 类 号：Q948[生物学—植物学]