遥感科学数据应用态势分析

李宜展; 李泽霞; 刘细文; 魏韧; 郭世杰; 董璐

doi:10.11873/j.issn.1004-0323.2020.1.0001

鎽樿/Abstract

鎽樿锛�

閬ユ劅鏁版嵁鏄奖鍝嶉仴鎰熺瀛︾爺绌舵柟娉曘�佸疄楠屾�濊矾銆佽В鍐虫柟妗堢殑閲嶈鍥犵礌涔嬩竴銆備互鎺㈢储闈㈠悜閬ユ劅绉戝鏁版嵁鐨勫绉戞儏鎶ュ垎鏋愭鏋朵负鐩爣锛屼互銆奟emote Sensing of Environment銆嬫湡鍒�1999~2018骞村彂琛ㄧ殑瀛︽湳璁烘枃涓轰緥锛屽埄鐢ㄦ枃鐚閲忓拰鐭ヨ瘑鍥捐氨鍒嗘瀽鏂规硶锛屽睍鐜伴仴鎰熺瀛︽暟鎹殑鍒╃敤鎯呭喌銆傜粨鏋滆〃鏄�:婊¤冻鐗瑰畾涓撲笟棰嗗煙闇�姹傜殑閬ユ劅绉戝鏁版嵁鏃ョ泭涓板瘜锛屽厜瀛﹂仴鎰熴�佸井娉㈤仴鎰熷拰婵�鍏夐浄杈炬暟鎹殑搴旂敤缁撴瀯宸插彂鐢熸槑鏄惧彉鍖栵紝浠�20涓栫邯90骞翠唬鐨�8鈭�1鈭�1鍙戝睍涓�5鈭�3鈭�2,澶氳搴﹁娴嬨�佹満杞借娴嬪钩鍙扮瓑鏂板瀷瑙傛祴鏂瑰紡灞曠幇鍑虹嫭鐗圭殑浼樺娍銆傞仴鎰熺瀛︽暟鎹拰鐩稿叧鐮旂┒鍒嗘瀽鏂规硶鐨勫彂灞曞拰瀹屽杽锛屼笉鏂帹鍔ㄥ澶嶆潅鍦扮悊鐢熸�佽繃绋嬩互鍙婁汉绫绘椿鍔ㄥ鐜褰卞搷鐨勭郴缁熷寲銆佺患鍚堟�х悊瑙ｃ��

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

涓浘鍒嗙被鍙�:

G350

鏉庡疁灞�, 鏉庢辰闇�, 鍒樼粏鏂�, 榄忛煣, 閮笘鏉�, 钁ｇ拹. 閬ユ劅绉戝鏁版嵁搴旂敤鎬佸娍鍒嗘瀽[J]. 閬ユ劅鎶�鏈笌搴旂敤, 2020, 35(1): 1-12.

Yizhan Li, Zexia Li, Xiwen Liu, Ren Wei. Application Analysis of Remote Sensing Data based onRemote Sensing of Environment[J]. Remote Sensing Technology and Application, 2020, 35(1): 1-12.

鍙傝�冩枃鐚�

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[3]	寮犵孩鏈�,鏉庡疁灞�,闄堟�濇槑,榛勯摥鐟�,瀛欑帀. 杩�10 a鍏ㄧ悆閬ユ劅绉戝鐮旂┒鐨勬椂绌哄姩鎬佸垎鏋�[J]. 閬ユ劅鎶�鏈笌搴旂敤, 2022, 37(1): 45-60.
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Application Analysis of Remote Sensing Data based onRemote Sensing of Environment

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