XIAO Huxuan1, PU Shengyan2,3, HE Fakun1, LIU Shibin1,2,3,*
(1 Earth Sciences College, Chengdu University of Technology, Chengdu 610059, China;
2 State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, China;
3 Institute of Ecological Environment, Chengdu University of Technology, State Environmental Protection Key Laboratory of Synergetic Control and Joint Remediation for Soil & Water Pollution, Chengdu 610059, China)
Abstract: In recent decades, remote sensing technology has constantly expanding its application fields and scopes, and is more frequently applied in the soil pollution research. Traditional soil pollution investigations cost lots of time and energy. Remote sensing technology has unique trait of wide modeling range and short real-time, which effectively simplify the complicated processes of data acquisition. In particularly, the development of image processing and remote sensing of unmanned aerial vehicle (UAV) in recent years has significantly improved the application accuracy of remote sensing technology. This paper focuses on the identification, retrieval, supervision, and risk estimation of soil pollution by remote sensing technology. The commonly-used methods for inverse modeling are presented. The data sources and supervision objects are summarized. Based on the current status of the application of remote sensing technology in soil pollution research, this paper retrospect the development history of this field from a global perspective, covering nearly all respects of the application. In addition, the further development trends are also proposed.
Key words: remote sensing technology; soil pollution; models and methods; development trend
EARTH AND ENVIRONMENT Vol.48, No.5, Tot No.337, 2020, Page 622-630
