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Spatio-temporal change analysis of Perak river basin using remote sensing and GIS

机译:基于遥感和GIS的霹雳州流域时空变化分析

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Modernization in industry and urban expansion has led to serious landscape problems and increased pressure on several environmental features i.e. deforestation, climate change etc. Therefore, it is necessary to identify the land use change to minimize the input of the transformation. Remote sensing and GIS considered as one of the potential methods to monitor the land use changes. This study investigate the spatio-temporal changes within the Perak river basin from 2001–2010. Landsat ETM images were utilized for the quantification of land use changes. The data were obtained from the United States Geological Survey (USGS) Department's website. Maximum likelihood supervised classification was applied for the classification of images. Change detection was being measured by using post-classification methods. High resolution imagery were being utilized for training as well as testing purposes to assess the accuracy of the land use classes. Broad classification (level 1) reveal four major land cover categories in the state as i) forest, ii) water bodies, iii) agricultural lands and light forest, and iv) urban and barren lands. The results showed significant decrease in the areas of agricultural lands and thick forest whereas the urban land use has shown swift increase. The study provides a baseline information about the trend of land use changes in Perak Malaysia to the land use managers for the development of reliable land use policies.
机译:工业和城市扩张的现代化导致了严重的景观问题,并增加了一些环境特征的压力,例如森林砍伐,气候变化等。因此,有必要确定土地用途的变化,以最大程度地减少改造的投入。遥感和GIS被认为是监测土地利用变化的潜在方法之一。这项研究调查了霹雳河流域2001-2010年的时空变化。 Landsat ETM图像用于量化土地用途的变化。数据来自美国地质调查局(USGS)的网站。将最大似然监督分类应用于图像分类。通过使用后分类方法来测量变更检测。高分辨率图像被用于培训和测试目的,以评估土地使用类别的准确性。广泛的分类(第1级)揭示了该州的四个主要土地覆盖类别,即i)森林,ii)水体,iii)农业用地和轻度森林,以及iv)城市和贫瘠土地。结果表明,农业用地和茂密森林的面积显着减少,而城市土地利用却显示出快速增长。这项研究为土地管理人员提供了有关马来西亚霹雳州土地利用变化趋势的基准信息,以制定可靠的土地利用政策。

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