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首页> 外文会议>International Conference on Water Resources, Coastal and Ocean Engineering >Temporal Analysis of Spatial Distribution of Built-Up Area in PeriUrban Areas of Cochin, Kerala: Case-Study of Sub-Watershed in Periyar River
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Temporal Analysis of Spatial Distribution of Built-Up Area in PeriUrban Areas of Cochin, Kerala: Case-Study of Sub-Watershed in Periyar River

机译：科钦，喀拉拉邦巨兴地区建筑区空间分布的时间分析：围岩河亚流域案例研究

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An increase in the built-up area in the watershed is a preliminary measurable indicator to understand the effect of urban development on the hydrologic response of the watershed. In this paper, the land use/ land cover map of sub watershed of Periyar River processed from Indian Remote Sensing(IRS) satellite is created to understand the spatial distribution of built -up area and to detect the expansion of built up area in the peri-urban areas of Cochin, Kerala, India. The Satellite imagery of IRS -1C LISS - III dated 7~(th) February 1995 and IRS -P6 LISS - III dated 13~(th) February 2005 were imported in ERDAS Imagine to create LU/LC map using Maximum Likelihood Method of supervised classification. A total of ten classes broadly including forest, plantation, grassland, barren land and builtup were classified. The forest cover factor was computed in ArcGIS which is used as a parameter for runoff calculation to assess the contribution of land cover on runoff modelling. A 6% increase in built —up is detected comparing the LU/LC map indicating that it is undergoing rapid development. The forest cover factor has a slight difference from 0.57 to 0.62indicating that barren and grassland are been primarily converted to built-up area. The LU/LC map can be used as a preliminary indicator of man-made induced impervious surface. The areal extent of satellite image provides a means for effective planning in future.
机译：分水岭内置区域的增加是一个初步可衡量的指标，了解城市发展对流域水文反应的影响。在本文中，从印度遥感（IRS）卫星加工的Periyar河流的土地使用/陆地覆盖地图是为了了解内置区域的空间分布，并检测Peri中建筑面积的扩展 - 印度喀拉拉邦的Cochin海峡地区。 IRS-1C LISS的卫星图像 - III月7〜（次），1995年2月和IRS -P6 LISS - III月13〜（日）2005年2月在ERDAS进口想象创造LU / LC地图使用的监督最大似然法分类。共有十个课程，包括森林，种植园，草原，贫瘠的土地和内置。森林覆盖因子在ArcGIS中计算，用作径流计算的参数，以评估陆地覆盖对径流建模的贡献。检测到Lu / LC地图显示它正在进行快速发展的LU / LC图，检测到内置的6％。森林覆盖因子与0.57至0.62℃的略微差异，贫瘠和草原主要被转换为建筑区域。 LU / LC地图可用作人造诱导的不透水表面的初步指示。卫星图像的面积范围为未来有效规划提供了一种方法。

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