Please wait a minute...
 
REMOTE SENSING FOR LAND & RESOURCES    2007, Vol. 19 Issue (3) : 85-88     DOI: 10.6046/gtzyyg.2007.03.20
Technology Application |
DYNAMIC MONITORING OF MINING AREA EXPANSION
BASED ON MULTITEMPORAL REMOTE SENSING IMAGES
 QI Xiao-Ying, YAN Ming-Xing
Ministerial Key Lab of Information Technology & Application of Land and Resources / Institute of Remote Sensing & GIS, Chengdu University of Technology,Chengdu 610059,China
Download: PDF(547 KB)  
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks    
Abstract  

Mining activity is responsible for the deterioration of the vegetation environment, and the variation

of vegetation environment reflects the information of mining area expansion. With the Panzhihua vanadium-titanium

magnetite ore deposit area as a study case, the authors extracted the mining area expansion information by using

the SARVI difference model and then used the supervised cassification method. The results of the two performances

were superimposed upon each other and analyzed under the condition of ArcView 9.1 so as to obtain the dynamic

information of mining area expansion. A comparison was made with the manual interpretation classification result

of seasoned expert in 2005, and it is shown that the precision can reach 95.3%. The experimental results show that

this method is very simple and effective in the extraction of the mining area expanding information, and is also

very important both in theory and in practice. This method proves to be very promising in dynamic inspection of

mining area.

Keywords seismic hazards analysis and research      photographic flight      photomap production      thematic map     
: 

 

 
  TP 79

 
Issue Date: 21 July 2009
Service
E-mail this article
E-mail Alert
RSS
Articles by authors
Ding Jun
Wang Dan
Cite this article:   
Ding Jun,Wang Dan. DYNAMIC MONITORING OF MINING AREA EXPANSION
BASED ON MULTITEMPORAL REMOTE SENSING IMAGES[J]. REMOTE SENSING FOR LAND & RESOURCES, 2007, 19(3): 85-88.
URL:  
https://www.gtzyyg.com/EN/10.6046/gtzyyg.2007.03.20     OR     https://www.gtzyyg.com/EN/Y2007/V19/I3/85
[1] WAN Jianhua, LI Mei, REN Guangbo, MA Yi. Efficient method for updating coastal wetland map based on change detection technology[J]. REMOTE SENSING FOR LAND & RESOURCES, 2013, 25(4): 85-90.
[2] YANG He-qun, YIN Qiu, ZHOU Hong-mei, GE Wei-qiang. Utilization of MATLAB to Realize LST Retrieval and Thematic Mapping from FY-3/MERSI Data[J]. REMOTE SENSING FOR LAND & RESOURCES, 2012, 24(4): 62-70.
[3] HE Hai-xia, YANG Si-quan, HUANG He, LI Xin, NIE Juan. Research on the Emergency-Response-Oriented Rapid Mapping Based on RS Data[J]. REMOTE SENSING FOR LAND & RESOURCES, 2012, 24(3): 159-164.
[4] Ding Jun, Wang Dan. PHOTOGRAPHIC FLIGHT AND PHOTOMAP PRODUCTION FOR RESEARCH OF SEISMIC HAZARDS[J]. REMOTE SENSING FOR LAND & RESOURCES, 1995, 7(4): 56-62.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
京ICP备05055290号-2
Copyright © 2017 Remote Sensing for Natural Resources
Support by Beijing Magtech