Study on Ecological Environment Monitoring in Mining area based on Remote Sensing Information extraction

DOI

10.2991/coal-18.2018.54How to use a DOI?

Keywords

ecological destruction of mining area, spectral characteristics, heavy metals, multiple regression analysis, image characteristics

Abstract

The large-scale exploitation and utilization of mineral resources not only brings great economic benefits to mankind, but also produce a series of geological disasters and environmental damages. Traditional monitoring methods require a large number of samples to be collected in the field and take a long time to obtain real-time information. In view of this, this paper puts forward a method to analyze the pollution of vegetation in mining area by using remote sensing image, so as to analyze the environmental damage in mining area timely and quickly. In this paper, spectrum and samples of vegetation was first collected in the field. The heavy metal content and chlorophyll content in the vegetation were tested, and the biological effects of heavy metal on plants were analyzed. Furthermore, the vegetation spectrum collected in the field is processed and analyzed. The vegetation spectral parameters are extracted. Then the model reflecting the spectral characteristics and the effects of heavy metals in vegetation is constructed by means of multivariate statistics. Finally, combined with the characteristics of remote sensing images, the destruction of vegetation in mining area is analyzed. The characteristics of remote sensing images are consistent with the processing results of spectral data collected on the ground. Therefore, it is indicated that remote sensing image can be used to monitor the destruction of ecological environment in mining areas.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Weiping Shi
AU  - Shengwen Yu
AU  - Hong Hu
AU  - Lei Yu
PY  - 2018/10
DA  - 2018/10
TI  - Study on Ecological Environment Monitoring in Mining area based on Remote Sensing Information extraction
BT  - Proceedings of the 9th China-Russia Symposium "Coal in the 21st Century: Mining, Intelligent Equipment and Environment Protection" (COAL 2018)
PB  - Atlantis Press
SP  - 300
EP  - 307
SN  - 2352-5401
UR  - https://doi.org/10.2991/coal-18.2018.54
DO  - 10.2991/coal-18.2018.54
ID  - Shi2018/10
ER  -