DocumentCode
2856946
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
fYear
2006
fDate
July 31 2006-Aug. 4 2006
Firstpage
1591
Lastpage
1593
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on
Conference_Location
Denver, CO
Print_ISBN
0-7803-9510-7
Type
conf
DOI
10.1109/IGARSS.2006.410
Filename
4241557
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