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首页> 外文期刊>Environmental Monitoring and Assessment >Using Remote Sensing And Gis To Detect And Monitor Land Use And Land Cover Change In Dhaka Metropolitan Of Bangladesh During 1960-2005
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Using Remote Sensing And Gis To Detect And Monitor Land Use And Land Cover Change In Dhaka Metropolitan Of Bangladesh During 1960-2005

机译：1960-2005年间使用遥感和地理信息系统检测和监测孟加拉国达卡大都会的土地利用和土地覆被变化

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摘要

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-ID 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.
机译：本文利用地形图和1960年至2005年的多时相遥感数据，说明了孟加拉国达卡大都会的土地利用/土地覆盖变化的结果。采用了最大似然监督分类技术从卫星数据中提取信息，并进行后分类采用变化检测方法来检测和监测土地利用/覆盖变化。通过使用高分辨率图像（例如SPOT，IRS，IKONOS和野外数据）进一步验证了衍生的土地使用/覆盖图。根据Landsat和IRS-ID数据生成的土地覆盖变化图的整体准确性在85％至90％之间。分析表明，达卡都市圈的城市扩张导致湿地，耕地，植被和水体的大量减少。这些地图显示，从1960年到2005年，建成区面积增加了约15,924公顷，而农业用地减少了7,614公顷，植被减少了2,336公顷，湿地/低地减少了6,385公顷，水体减少了约864公顷。城市土地的数量从1960年的11％增加到2005年的344％。类似地，同期垃圾填埋场/裸土类别的增长约为256％。该城市人口的快速增长大部分都被安置在非正式住区中，而很少试图限制环境损害的风险。该研究量化了达卡都市区过去45年的土地利用/覆盖变化模式，为城市规划者和决策者设计可持续土地利用和环境规划提供了宝贵的资源。

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