—Three kinds of the south ion-absorbed rare earth mine (REM) which are Lingbei REM region with light rare earth element (REE), Zudong REM region with high REE and Longshe REM region with middle high REE respectively were chosen as study areas in this paper. In order to make land cover maps and therefore monitor the changes of the exploitation of study areas during 2000-2010, object-oriented classification were conducted using SPOT1/2/5, and ALOS satellite imageries. A retrospective approach was also used to reduce the false change information, and thus to extract the change information of rare earth mining area efficiently. It is found that the three south ion-absorbed REM areas were scattered in study areas, and the exploitation areas of Lingbei and Zudong REM tends to increase from 2000 to 2010 resulting in forest reduced mainly, while the exploitation areas of Longshe REM decreased from 2000 to 2010 resulting in farmland increased owing to the fact that the mining area was forced to abandon in 2003 and began to carry out reclamation after then. In order to analyze the reclaimed vegetation condition, tasseled cap transformation was employed using Landsat5-7 imagery. The analysis shows that the green vegetation increases from 2000 to 2010. It indicated that the region achieved remarkable effects in reclamations, and the success of reclamation practices could provide guidance for the reclamation of other south ion-absorbed REM region.
—Ion-absorbed rare earth mining area, object-oriented classification, backtracking, reclamation, Tasseled Cap transformation.
Yan Peng, Guojin He, and Zhaoming Zhang are all with the Institute of Remote Sensing and Digital Earth, Chinese Academy of Science, Beijing, China (e-mail: firstname.lastname@example.org, email@example.com, firstname.lastname@example.org).
Cite: Yan Peng, Guojin He, and Zhaoming Zhang, "The South Ion-Absorbed Rare Earth Mine Area Remote Sensing Monitoring in South of Jiangxi Province, China," International Journal of Engineering and Technology vol. 8, no. 6, pp. 428-433, 2016.