Title :
The use of Remote Sensing to Detect Asbestos Mining Degradation in Mafefe and Mathabatha, South Africa
Author :
Petja, Brilliant M. ; Twumasi, Yaw A. ; Tengbeh, George T.
Author_Institution :
Dept. of Geogr. & Environ. Studies, Univ. of Limpopo, Turfloop
fDate :
July 31 2006-Aug. 4 2006
Abstract :
This study employs remote sensing to investigate the extent of degradation caused by asbestos mining, and to monitor the progress of mine rehabilitation in the Mafefe and Mathabatha areas in South Africa. Image differencing method (NDVI) was used to assess the condition of vegetation in the study area. Results show both positive and negative increase in vegetation at Mafefe and Mathabatha. The study helps in identifying areas that needs further rehabilitation.
Keywords :
asbestos; environmental degradation; mining; remote sensing; vegetation; Image differencing method; Mafefe; Mathabatha; NDVI; Normalized Difference Vegetation Index; South Africa; asbestos mining degradation detection; mine rehabilitation progress; remote sensing; vegetation condition; Africa; Degradation; Geography; Image sensors; Radiometry; Remote monitoring; Remote sensing; Satellites; Soil; Vegetation mapping;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on
Conference_Location :
Denver, CO
Print_ISBN :
0-7803-9510-7
DOI :
10.1109/IGARSS.2006.410
