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An analysis of Land Use/Land-cover Changes in Nay Pyi Taw, Myanmar, Using Remote Sensing Images

机译:利用遥感图像的NAY Pyi Taw的土地使用/陆地变化分析

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Nay Pyi Taw has experienced significant land use and land-cover changes since its becoming the capital city of Myanmar in 2005. Its area was once a greenfield site in the shrub land but new developments have been underway since 2005. Detecting land use/ land-cover (LULC) changes in the city and its vicinity and understanding the impact of such changes on the environment are of vital importance for city planning, not only for the evaluation of the past but also for future prospects. In this study, multispectral satellite remote sensing images acquired in 2000 and 2014 were used for the analysis of LULC changes in the Nay Pyi Taw area. The post-classification change detection method with LULC classes, namely agricultural land, natural vegetation, water, settlements/built-up and bare land, was applied in this study. From the results of the change detection, the changes of LULC in different categories were analyzed. The areas of settlements/built-up, water and bare land increased by 28,902 ha, 2,249 haand 569 ha, respectively, whereas agricultural land and natural vegetation decreased by 9,929 ha and 21,790 ha, respectively. The increase in settlements/built-up land mainly came from the conversion of agricultural land (56%) and natural vegetation (44%) during the study period. The area of the water body increased due to the construction of new dams. The information on spatial pattern changes and statistics in LULC classes makes an invaluable contribution to appropriate decisionmaking in the development of a sustainable land management strategy for agriculture as well as urbanization.
机译:NAY Pyi Taw在2005年成为缅甸首都以来的土地利用和土地覆盖变化封面(LULC)城市及其附近的变化以及了解这些变化对环境的影响对于城市规划至关重要,这不仅用于过去的评估,而且对于未来的前景也是如此。在本研究中,2000年和2014年获取的多光谱卫星遥感图像用于NAY Pyi Taw区域的LULC变化的分析。在本研究中应用了Lulc课程的分类后变化检测方法,即农业用地,天然植被,水,定居点/建筑和裸机。从变化检测结果中,分析了不同类别的LULC的变化。定居点/内置,水和赤土土地分别增加了28,902公顷,分别增加了2,249万公顷,而农业用地和自然植被分别降低了9,929公顷和21,790公顷。定居点/建筑土地的增加主要来自研究期间的农业用地(56%)和自然植被(44%)。由于新水坝的建造,水体的面积增加。 Lulc课程的空间模式变化和统计数据的信息对农业和城市化的可持续土地管理战略制定的适当决策方面具有无价的贡献。

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