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Morphometric Analysis of Kangshabati-Darkeswar Interfluves Area in West Bengal, India using ASTER DEM and GIS Techniques

机译:使用ASTER DEM和GIS技术进行印度西孟加拉邦Kangshabati-Darkeswar交汇处的形态计量分析

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The aim of the study is to delineate the morphometric characteristics of Kangshabati-Darkeswar Interfluves Area using remote sensing and GIS technology. 10 km2 grids were elaborate to delineate the relief characteristics using Advance Space Thermal Emission and Radiometer (ASTER) data. Drainage networks were automatically extracted from digital aster elevation models. Second order local polynomial (LP) interpolation technique was used to estimate the surface characteristics of the study area using ArcGIS 9.3. The absolute elevation of the study region is extended between 4.0-949.29 m with an average elevation of 484.50 m. The highest relative relief resulted 833.69 m, whereas the average ruggedness index of the study area is recorded as 0.09 per 10 km2 area. The average drainage density of the study area was computed 0.73/sq. km and the highest drainage intensity are recorded as 9.58/10 km2 grid area. The average length of overland flow of the study area was 2.56/10 km2 grid areas. The result of the study highlights an about the spatial distribution of relief and hydrological characteristics which may provide the knowledge to devise and accomplish an appropriate plan to progress agriculture and others allied activities. Hence, from the study, it can be concluded that remote sensing data (ASTER –DEM) coupled with GIS techniques prove to be a competent tool in morphometric analysis and the data can be used for basin or interfluves area management and other hydrological studies in future.
机译:本研究的目的是利用遥感技术和GIS技术勾勒出康沙巴蒂-达克斯瓦尔交汇处的形态特征。使用提前空间热发射和辐射计(ASTER)数据精心制作了10平方千米的网格,以描述起伏特征。排水网络是从数字紫elevation海拔模型中自动提取的。二阶局部多项式(LP)插值技术用于使用ArcGIS 9.3估计研究区域的表面特征。研究区域的绝对高程在4.0-949.29 m之间延伸,平均高程484.50 m。最高相对起伏为833.69 m,而研究区域的平均坚固性指数记录为每10 km2面积0.09。计算出研究区域的平均排水密度为0.73 / sq。 km和最高排水强度记录为9.58 / 10 km2网格面积。研究区域的平均陆流长度为2.56 / 10 km2网格区域。研究结果突出了关于浮雕的空间分布和水文特征,这可能为设计和完成一项适当的计划以促进农业及其他相关活动提供知识。因此,从研究中可以得出结论,结合GIS技术的遥感数据(ASTER –DEM)被证明是形态分析的有效工具,并且该数据将来可用于流域或跨界地区管理以及其他水文研究。

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