Forestry Big Data: A Review and Bibliometric Analysis

编号 030036201

推送时间 20220926

研究领域 森林经理 

年份 2022 

类型 期刊 

语种 英语

标题 Forestry Big Data: A Review and Bibliometric Analysis

来源期刊 Forests

期 第362期

发表时间 20220922

关键词 forestry;  big data;  bibliometric analysis;  VOSviewer;  Bibliometrix;  Citespace; 

摘要 Due to improved data collection and processing techniques, forestry surveys are now more efficient and accurate, generating large amounts of forestry data. Forestry Big Data (FBD) has become a critical component of the forestry inventory investigation system. In this study, publications on FBD were identified via the Web of Science database, and a comprehensive bibliometric analysis, network analysis, and analysis of major research streams were conducted to present an overview of the FBD field. The results show that FBD research only began nearly a decade ago but has undergone an upswing since 2016. The studies were mainly conducted by China and the US, and collaboration among authors is relatively fragmented. FBD research involved interdisciplinary integration. Among all the keywords, data acquisition (data mining and remote sensing) and data processing (machine learning and deep learning) received more attention, while FBD applications (forecasting, biodiversity, and climate change) have only recently received attention. Our research reveals that the FBD research is still in the infancy stage but has grown rapidly in recent years. Data acquisition and data processing are the main research fields, whereas FBD applications have gradually emerged and may become the next focus.

服务人员 付贺龙

服务院士 唐守正

PDF文件 浏览全文