Abstract This paper illustrates the result of land use/
cover change in Dhaka Metropolitan of Bangladesh
using topographic maps and multi-temporal remotely
sensed data from 1960 to 2005. The Maximum
likelihood supervised classification technique was
used to extract information from satellite data, and
post-classification change detection method was
employed to detect and monitor land use/cover
change. Derived land use/cover maps were further
validated by using high resolution images such as
SPOT, IRS, IKONOS and field data. The overall
accuracy of land cover change maps, generated from
Landsat and IRS-1D data, ranged from 85% to 90%.
The analysis indicated that the urban expansion of
Dhaka Metropolitan resulted in the considerable
reduction of wetlands, cultivated land, vegetation
and water bodies. The maps showed that between
Abstract This paper illustrates the result of land use/
cover change in Dhaka Metropolitan of Bangladesh
using topographic maps and multi-temporal remotely
sensed data from 1960 to 2005. The Maximum
likelihood supervised classification technique was
used to extract information from satellite data, and
post-classification change detection method was
employed to detect and monitor land use/cover
change. Derived land use/cover maps were further
validated by using high resolution images such as
SPOT, IRS, IKONOS and field data. The overall
accuracy of land cover change maps, generated from
Landsat and IRS-1D data, ranged from 85% to 90%.
The analysis indicated that the urban expansion of
Dhaka Metropolitan resulted in the considerable
reduction of wetlands, cultivated land, vegetation
and water bodies. The maps showed that between
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