摘要：Abstract
Satellite imagery has been widely used to monitor
the extent of environmental change in both mine and
post mine areas. This study uses Remote sensing and Geographical
Information System techniques for the assessment
of land use/land cover dynamics of mine related
areas in Wa East District of Ghana. Landsat satellite imageries
of three different time periods, i.e., 1991, 2000 and
2014 were used to quantify the land use/cover changes in
the area. Supervised Classification using Maximum Likelihood
Technique in ERDAS was utilized. The images were
categorized into five different classes: Open Savannah,
Closed Savannah, Bare Areas, Settlement and Water. Image
differencing method of change detection was used to
investigate the changes. Normalized Differential Vegetative
Index valueswere used to correlate the state of healthy
vegetation. The image differencing showed a positive correlation
to the changes in the Land use and Land cover
classes. NDVI values reduced from 0.48 to 0.11. The land
use change matrix also showed conversion of savannah
areas into bare ground and settlement. Open and close
savannah reduced from 50.80% to 36.5% and 27.80% to
22.67% respectively whiles bare land and settlement increased.
Overall accuracy of classified 2014 image and
kappa statistics was 83.20% and 0.761 respectively. The
study revealed the declining nature of the vegetation and
the significance of using satellite imagery. A higher resolution
satellite Imagery is however needed to satisfactorily
delineate mine areas from other bare areas in such Savannah
zones.
关键词：KeywordsLand use / Land cover NDVI Vegetation Remote
sensing and GIS
