Please wait a minute...
 
REMOTE SENSING FOR LAND & RESOURCES    2009, Vol. 21 Issue (2) : 1-8     DOI: 10.6046/gtzyyg.2009.02.01
Review |
ADVANCES IN REMOTE SENSING-BASED DETECTING OF MINE EXPLOITATION AND MINE ENVIRONMENT
CHEN Wei-tao, ZHANG Zhi, WANG Yan-xin
Department for Crust Dynamics &|Deep Space Exploitation of NRSCC &|Key Laboratory of Biogeology and Environmental Geology of Ministry of Education, China University of Geosciences, Wuhan 430074, China
Download: PDF(949 KB)  
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks    
Abstract  

From the viewpoint of targets of remote sensing monitoring for mine exploitation and

mine environment and on the basis of image characteristics of the monitoring targets, the authors

analyzed the detection capabilities of this means for different data sources such as high spatial

resolution, hyperspectrum, microwave and thermal infrared remote sensing, and summarized

comprehensively the application situation, existing problems, major research fields and key

technologies. The authors also tentatively put forward some methods for solving these problems in

the remote sensing monitoring of mines.

Keywords Shield      Afforestation remote sensing      Precision     
: 

TP 79

 
Issue Date: 12 June 2009
Service
E-mail this article
E-mail Alert
RSS
Articles by authors
Cite this article:   
CHEN Wei-Tao, ZHANG Zhi, WANG Yan-Xin. ADVANCES IN REMOTE SENSING-BASED DETECTING OF MINE EXPLOITATION AND MINE ENVIRONMENT[J]. REMOTE SENSING FOR LAND & RESOURCES,2009, 21(2): 1-8.
URL:  
https://www.gtzyyg.com/EN/10.6046/gtzyyg.2009.02.01     OR     https://www.gtzyyg.com/EN/Y2009/V21/I2/1
[1] YU Bing, TAN Qingxue, LIU Guoxiang, LIU Fuzhen, ZHOU Zhiwei, HE Zhiyong. Land subsidence monitoring based on differential interferometry using time series of high-resolution TerraSAR-X images and monitoring precision verification[J]. Remote Sensing for Natural Resources, 2021, 33(4): 26-33.
[2] CHEN Chao, CHEN Huixin, CHEN Dong, ZHANG Zili, ZHANG Xufeng, ZHUANG Yue, CHU Yanli, CHEN Jianyu, ZHENG Hong. Coastline extraction and spatial-temporal variations using remote sensing technology in Zhoushan Islands[J]. Remote Sensing for Land & Resources, 2021, 33(2): 141-152.
[3] Wei ZHANG, Jianwei QI, Ying CHEN, Xu HAN. A study of block adjustment of domestic multi-source high resolution satellite images[J]. Remote Sensing for Land & Resources, 2019, 31(1): 125-132.
[4] Kun LU, Qingyan MENG, Yunxiao SUN, Zhenhui SUN, Linlin ZHANG. Estimating leaf area index of wheat at the booting stage using GF-2 data: A case study of Langfang City,Hebei Province[J]. Remote Sensing for Land & Resources, 2018, 30(1): 196-202.
[5] YANG Ping, LI Yikun, HU Yuxi, YANG Shuwen. Remote sensing image retrieval based on tolerance granular computing theory[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(4): 43-47.
[6] SHI Junbo, KANG Kongyue, ZHANG Huishan, YANG Wei, ZHANG Jie, LIU Hengxuan, REN Qingjun. Application of SPOT5 data to geological mapping of Mazha tectonic melange belt in West Kunlun Mountains[J]. REMOTE SENSING FOR LAND & RESOURCES, 2016, 28(1): 107-113.
[7] LIU Rongjie, ZHANG Jie, LI Xiaomin, MA Yi. Position precision evaluation of ZY-3 satellite image in the coastal zone of China[J]. REMOTE SENSING FOR LAND & RESOURCES, 2014, 26(3): 141-145.
[8] LIN Hao, FAN Jinghui, HONG Youtang, TU Pengfei, GUO Xiaofang. An analysis of height precision in applying single frequency static GPS to landslide monitoring[J]. REMOTE SENSING FOR LAND & RESOURCES, 2014, 26(2): 74-79.
[9] ZHANG Yanbing, GUO Huadong, HAN Chunming. High precision DEM generation using airborne dual-antenna InSAR data:A case study of large hilly areas[J]. REMOTE SENSING FOR LAND & RESOURCES, 2014, 26(1): 97-102.
[10] LI Xiaoning, ZHANG Youjing, SHE Yuanjian, CHEN Liwen, CHEN Jingxin. Estimation of impervious surface percentage of river network regions using an ensemble leaning of CART analysis[J]. REMOTE SENSING FOR LAND & RESOURCES, 2013, 25(4): 174-179.
[11] LIU Jiang, YUE Qingxing, QIU Zhenge. Research on the approach to RPC emendation[J]. REMOTE SENSING FOR LAND & RESOURCES, 2013, 25(1): 61-65.
[12] LU Heng, LI Yong-shu, HE Jing. A Study of the Method of Automatic Extraction of Image Points for UAV Imagery with Large Overlap[J]. REMOTE SENSING FOR LAND & RESOURCES, 2011, 23(4): 69-73.
[13] MENG Ji-hua, WU Bing-fang, DU Xin, ZHANG Fei-fei, ZHANG Miao, DONG Tai-feng. A Review and Outlook of Applying Remote Sensing to Precision Agriculture[J]. REMOTE SENSING FOR LAND & RESOURCES, 2011, 23(3): 1-7.
[14] YI Ling, WANG Xiao, LIU Bin. RESEARCHES ON HJ-1 SATELLITE IMAGE QUALITY
AND LAND USE CLASSIFICATION PRECISION
[J]. REMOTE SENSING FOR LAND & RESOURCES, 2009, 21(3): 74-77.
[15] WANG Juan-Min, YANG Lian-An, JIANG Ying, GAO Xue-Ling, SUN Xian. THE EXTRACTION OF DESERTIFICATION INFORMATION BASED ON SPECTRAL ANGLE MAPPER: A CASE STUDY OF THE MU US SANDY LAND[J]. REMOTE SENSING FOR LAND & RESOURCES, 2008, 20(4): 87-91.
Viewed
Full text


Abstract

Cited

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