遥感科学数据应用态势分析全文
Alternative TitleApplication Analysis of Remote Sensing Data based on全文
李宜展; 李泽霞; 刘细文; 魏韧; 郭世杰; 董璐
2020-02-20
Source Publication遥感技术与应用
Volume35Issue:1Pages:1-12
Abstract

遥感数据是影响遥感科学研究方法、实验思路、解决方案的重要因素之一。以探索面向遥感科学数据的学科情报分析框架为目标,以《Remote Sensing of Environment》期刊1999~2018年发表的学术论文为例,利用文献计量和知识图谱分析方法,展现遥感科学数据的利用情况。结果表明:满足特定专业领域需求的遥感科学数据日益丰富,光学遥感、微波遥感和激光雷达数据的应用结构已发生明显变化,从20世纪90年代的8∶1∶1发展为5∶3∶2,多角度观测、机载观测平台等新型观测方式展现出独特的优势。遥感科学数据和相关研究分析方法的发展和完善,不断推动对复杂地理生态过程以及人类活动对环境影响的系统化、综合性理解。

Other Abstract

Remote sensing data is one of main factors affecting remote sensing research methods, experimental design and solutions, etc. In this study, the articles published on the Journal during 1999~2018 were collected to quantitatively analyze the utilization situation of remote sensing data and research hotspots using bibliometrics and knowledge graph methods. The results showed that more and more specific professional sensors, remote sensing data, derived data emerged rapidly. Meanwhile, microwave remote sensing and LiDAR were burgeoning, and the structure of application of optical, microwave and LiDAR remote sensing data had changed significantly, from 8∶1∶1 to 5∶3∶2 during the past decades, multi-angle and airborne observation platform get favors of scientists. The improvement of remote sensing data and analytical methods were continuously promoting a systematic and comprehensive understanding of complex geo-ecological processes and impact of human activities on environment.

Keyword遥感科学数据 文献计量 知识图谱 共现分析
DOI10.11873/j.issn.1004-0323.2020.1.0001
Language中文
References1 et al. Remote Sensing Technologies for Enhancing Forest Inventories: A Review[J].Canadian Journal of Remote Sensing, 2016, 42(5): 619-641.
Citation statistics
Document Type期刊论文
Identifierhttp://119.78.100.147:8080/handle/2SELTVKS/91095
Collection骨干期刊_遥感技术与应用
Affiliation1.中国科学院文献情报中心,北京 100190
2.中国科学院大学图书情报与档案管理系,北京 100190
Recommended Citation
GB/T 7714
李宜展,李泽霞,刘细文,等. 遥感科学数据应用态势分析[J]. 遥感技术与应用,2020,35(1):1-12.
APA 李宜展,李泽霞,刘细文,魏韧,郭世杰,&董璐.(2020).遥感科学数据应用态势分析.遥感技术与应用,35(1),1-12.
MLA 李宜展,et al."遥感科学数据应用态势分析".遥感技术与应用 35.1(2020):1-12.
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