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

Sumita Gayen, G. Bhunia, P. Shit
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引用次数: 50

Abstract

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.
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基于ASTER DEM和GIS技术的印度西孟加拉邦康沙巴提-达克斯瓦尔流域形态计量学分析
利用遥感和GIS技术对康沙巴堤-达克斯瓦尔流域的地貌特征进行了研究。利用ASTER (Advance Space Thermal Emission and Radiometer)数据,绘制了10 km2的网格来描绘地形特征。从数字aster高程模型中自动提取排水网络。利用ArcGIS 9.3软件,采用二阶局部多项式(LP)插值技术估算研究区地表特征。研究区绝对高程在4.0 ~ 949.29 m之间扩展,平均高程为484.50 m。研究区的最高相对起伏度为833.69 m,而平均崎岖度指数为0.09 / 10 km2。研究区平均排水密度为0.73/sq。最高排水强度为9.58/10 km2网格面积。研究区平均坡面流长度为2.56/10 km2。研究结果强调了关于地形和水文特征的空间分布,这可能为制定和完成适当的计划以推进农业和其他相关活动提供知识。因此,从研究中可以得出结论,遥感数据(ASTER -DEM)与GIS技术相结合被证明是一种有效的形态计量学分析工具,这些数据可以用于流域或流域管理以及未来的其他水文研究。
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