印度阿萨姆邦廷苏基亚地区土地利用动态和城市增长特征的地理空间分析

Praduyt Dey , Arpana Handique , Santanu Kumar Patnaik , Shukla Acharjee , Jiten Hazarika
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摘要

城市化驱动的土地利用变化改变了景观,将自然栖息地转变为建筑表面,影响了生态平衡和社会经济发展。本研究试图调查印度阿萨姆邦Tinsukia地区景观动态的两个组成部分:(i) LULC变化(2003-2023)和(ii)城市增长评估。利用Landsat 5 TM、Landsat 7和Landsat 8 OLI/TIRS影像,利用支持向量机(SVM)技术制备了2003、2013和2023年的LULC地图,总体精度分别为88.88%、86.60%和80%,kappa系数分别为0.87、0.85和0.89。城市蔓延评价采用LecoS工具、景观扩展指数(LEI)、面积加权平均扩展指数(AWMEI)和Shannon熵法。结果显示,不同土地利用面积等级发生了显著变化,人工林面积从16.69%(637.30平方公里)显著扩大。至32.98%(1259.51平方公里)。建成区面积从去年的1.54%(58.96平方公里)增加到去年的1.54%。至6.33%(241.72平方公里)。Km),分别在2003年和2023年。2003—2023年的城市扩张研究表明,城市扩张主要表现为边缘扩张和分散扩张。2003-2013年和2013-2023年的Shannon熵值分别为2.77和2.14,验证了城市增长的高度分散格局。该研究证明了基于gis的指数与统计应用相结合用于城市增长评价的有效性。研究结果将促进可持续的城市规划,并有助于该地区的环境保护。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Geospatial analysis of land use dynamics and urban growth characteristics in Tinsukia District, Assam, India
Land use change driven by urbanization alters the landscape, transforming natural habitats into built surfaces, which impacts ecological balance and socio-economic development. The present research tries to investigate two components of landscape dynamics in the Tinsukia district of Assam, India: (i) LULC change (2003–2023) and (ii) assessment of urban growth. The LULC maps for the years, 2003, 2013, and 2023 were prepared through support vector machine (SVM) techniques using Landsat 5 TM, Landsat 7, and 8 OLI/TIRS imageries with 88.88 %, 86.60 %, and 80 % overall accuracy and 0.87, 0.85 and 0.89 kappa coefficient values for 2003, 2013, and 2023 respectively. The urban sprawl assessment used the LecoS tools, Landscape Expansion Index (LEI), Area-Weighed Mean Expansion Index (AWMEI), and Shannon’s entropy method. The result revealed a significant shift in various LULC classes with a notable expansion of plantation areas from 16.69 % (637.30 sq. km) to 32.98 % (1259.51 sq. km) and the built-up areas increasing from 1.54 % (58.96 sq. km) to 6.33 % (241.72 sq. km) in 2003 and 2023, respectively. The urban sprawl studies between 2003 and 2023 revealed urban expansion, mostly characterized by edge expansion types and scattered patterns. The highly dispersed pattern of urban growth was validated through Shannon’s entropy values of 2.77 and 2.14 between 2003–2013 and 2013–2023, respectively. The study demonstrates the effectiveness of using GIS-based indices combined with statistical applications for urban growth assessment. The findings of the research will promote sustainable urban planning and contribute to environmental conservation in the region.
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