Please wait a minute...


Remote Sensing Technology and Application
Remote Sensing Inversion of Soil Zinc Pollution in Gejiu Mining Area of Yunnan
Song Tingting1,Fu Xiuli2,Chen Yu3,Wei Yongming3,Wang Qinjun3,Cheng Xianfeng4
(1.Beijing University of Chemical Technology,College of Information Science and Technology,
Beijing 100029,China;2.Beijing Institute of Petrochemical Technology,School of Information
Engineering,Beijing 102617,China;3.Institute of Remote Sensing and Digital Earth
Chinese Academy of Sciences,CAS Key Laboratory of Digital Earth Science,Beijing 100094,China;
4.Faculty of Environmental GeologyYunnan Land and Resources Vocational College,Kunming 652501,China)
Download:  PDF (5515KB) 
Export:  BibTeX | EndNote (RIS)      
Abstract  As a product of the development of modern industry and mining industry,heavy metal Zn pollution has gradually invaded the daily production and life of human beings,which is harmful to our physical and mental health.In dealing with large-scale soil environmental monitoring.The traditional heavy metal monitoring method is time-consuming and laborious.Due to its characteristics of high speed,high speed and high efficiency,remote sensing technology has become an important tool for environmental monitoring in the new era.This study takes Yunnan Gejiu mining area as a typical area,collecting sample in field soil and measurement of soil sample spectra and Zn content.Then the band transform method based on the multiplicative transformation was proposed to enhance product conversion relationship between Zn elements and spectral sensitive bands,using the established prediction model and optimal Zn content based on ASTER images to carry out pollution mapping.Research shows that:①the maximum correlation band of Zn elements is the B515 band,close to the absorption peak of sphalerite and smithsonite zinc containing minerals,is an important band of zinc element inversion of soil;②the spectral multiplicative transformation can highlight the sensitive bands of Zn elements,and retain the most sensitive information of the original soil;③in the hypersecretion inversion model of soil zinc content in the study area,the precision of the model established by partial least squares(R=0.90)is the highest(R=0.70);④The inversion results based on ASTER images show that there is a significant correlation between soil Zn pollution and mining activities(Verification accuracy of map R=0.694).The results of this study can provide the basis and technical support for remote sensing quantitative inversion of heavy metal content and large-scale environmental pollution monitoring.
Key words:  Soil      Zn pollution;Hyperspectral;Gejiu mining area;Multiplicative transformation method;Partial least squares      ASTER     
Received:  20 January 2017      Published:  16 March 2018
TP 79  
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
Articles by authors
Song Tingting
Fu Xiuli
Chen Yu
Wei Yongming
Wang Qinjun
Cheng Xianfeng

Cite this article: 

Song Tingting,Fu Xiuli,Chen Yu,Wei Yongming,Wang Qinjun,Cheng Xianfeng. Remote Sensing Inversion of Soil Zinc Pollution in Gejiu Mining Area of Yunnan. Remote Sensing Technology and Application, 2018, 33(1): 88-95.

URL:     OR

No Suggested Reading articles found!