閬ユ劅鎶�鏈笌搴旂敤 鈥衡�� 2020, Vol. 35 鈥衡�� Issue (1): 1-12.DOI: 10.11873/j.issn.1004-0323.2020.1.0001

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閬ユ劅绉戝鏁版嵁搴旂敤鎬佸娍鍒嗘瀽

鏉庡疁灞�1(),鏉庢辰闇�1,2,鍒樼粏鏂�1,2,榄忛煣1,閮笘鏉�1,2,钁g拹1   

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  • 鏀剁鏃ユ湡:2019-01-28 淇洖鏃ユ湡:2020-01-02 鍑虹増鏃ユ湡:2020-02-20 鍙戝竷鏃ユ湡:2020-04-01
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Application Analysis of Remote Sensing Data based onRemote Sensing of Environment

Yizhan Li1(),Zexia Li1,2,Xiwen Liu1,2,Ren Wei1   

  1. 1.National Science Library, Chinese Academy of Sciences, Beijing 100190, China
    2.School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, China
  • Received:2019-01-28 Revised:2020-01-02 Online:2020-02-20 Published:2020-04-01
  • Contact: Zexia Li

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鍏抽敭璇�: 閬ユ劅绉戝鏁版嵁, 鏂囩尞璁¢噺, 鐭ヨ瘑鍥捐氨, 鍏辩幇鍒嗘瀽

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 JournalRemote Sensing of Environment 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鈭�1鈭�1 to 5鈭�3鈭�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.

Key words: Remote sensing data, Bibliometrics, Knowledge graph, Co-occurrence analysis

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