Using remote sensing and GIS to detect and monitor land use and land cover change in Dhaka Metropolitan of Bangladesh during 1960–2005

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 1960 and 2005 built-up areas increased approximately 15,924 ha, while agricultural land decreased 7,614 ha, vegetation decreased 2,336 ha, wetland/lowland decreased 6,385 ha, and water bodies decreased about 864 ha. The amount of urban land increased from 11% (in 1960) to 344% in 2005. Similarly, the growth of landfill/bare soils category was about 256% in the same period. Much of the city's rapid growth in population has been accommodated in informal settlements with little attempt being made to limit the risk of environmental impairments. The study quantified the patterns of land use/cover change for the last 45 years for Dhaka Metropolitan that forms valuable resources for urban planners and decision makers to devise sustainable land use and environmental planning.

Monitoring and Assessment of Land Use and Land Cover Changes (1977 - 2010) in Kamrup District of Assam, India Using Remote Sensing and Gis Techniques

“…Satellites data have became a major application in change detection because of the repetitive coverage of the satellites at short time intervals (Mas, 1999). Using remote sensing, spatially explicit time series of environmental data can be quickly obtained and updated (Dewan and Yamaguchi, 2009). In addition, GIS (Geographical Information System) technique provides the software's to spatial analysis, model and map environmental changes.…”

Quantifying the Driving Forces of Informal Urbanization in the Western Part of the Greater Cairo Metropolitan Region

“…Urbanization is often characterized by severe changes that directly affect the human environment and are accompanied by highly negative influences on the global carbon cycle, such as an increase in an increase in atmospheric CO2 [12,13]. Moreover, the absence of proper urban plans in developing countries to deal with this dilemma has caused several additional problems such as inadequate housing supply, haphazard development, urban poverty, and inequity of land supply, which lead to the rapid emergence of slums and unplanned urban areas [13].…”

“…Moreover, the absence of proper urban plans in developing countries to deal with this dilemma has caused several additional problems such as inadequate housing supply, haphazard development, urban poverty, and inequity of land supply, which lead to the rapid emergence of slums and unplanned urban areas [13].…”

Aplicación de la teledetección a la comparación de las tendencias del crecimiento urbano producido en zonas costeras e interior en los últimos 25 años: caso comarca de La Safor (Valencia)

“…Las muestras de aprendizaje fueron de un tamaño aproximado de 100 píxeles (90.000 m 2 ) que sirvieron para definir las diferentes clases espectrales. A partir de esta información espectral se obtuvo la imagen clasificada utilizando para ello el método de máxima probabilidad (Dewan et al, 2009). Para analizar la fiabilidad de cada clasificación realizada se obtuvo la matriz de confusión.…”