Title :
A study on river and vegetation dynamical monitoring in a typical mine environment using Landsat TM
Author :
Suhong, Liu ; Xiang, Zhao ; Peijuan, Wang ; Chun, Yan
Author_Institution :
Res. Center for Remote Sensing & GIS, Beijing Normal Univ.
Abstract :
The mine tailings, which were generated during the mine development, are normally piled along the bank of the river. While being exposed in the air and interacting with the precipitation, they ultimately inpour into the waters around the mine zone to cause river pollution and result in the environment degradation. The presented paper selects two indexes of AVRI and RPI for monitoring the pollution of the water and vegetation based on Remote Sensed method. Taking the De Xing copper mine, which is located in Jiang Xi province, as an example and using TM Remote Sensed data in different four periods from 1986 to 2000 as information sources, the research has been done. It shows that RS method contributed a lot to monitor the pollution conditions of the narrow inner land river and the relative vegetation
Keywords :
environmental degradation; geophysical prospecting; mining; river pollution; rivers; vegetation mapping; AD 1986 to 2000; AVRI; Atmospherically Resistant Vegetation Index; De Xing copper mine; Jiang Xi province; Landsat TM; RPI; RS method; Remote Sensed method; TM Remote Sensed data; environment degradation; geophysical prospecting; inner land river; mine tailings; mine zone; precipitation; relative vegetation; river dynamical monitoring; river pollution; typical mine environment; vegetation dynamical monitoring; vegetation pollution; water pollution; Air pollution; Copper; Degradation; Economic indicators; Remote monitoring; Remote sensing; Rivers; Satellites; Vegetation; Water pollution;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-8742-2
DOI :
10.1109/IGARSS.2004.1370191