Mapping of Major Land Use Land Cover Dynamics and Its Driving Factors: A Case Study of Nepalgunj Sub-Metropolitan City, Banke, Nepal

Prajwol Babu Subedi, Prakash Ojha, Amit Adhikari, S. Acharya, S. Acharya
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Abstract

Understanding changes in Land Use Land Cover (LULC) is essential for managing and monitoring natural resources and development, particularly where urbanization is expanding. So, this study aimed to assess the level of changes in LULC of Nepalgunj Sub-metropolitan city using temporal Landsat satellite imageries of 1996, 2008, and 2020 AD, and the key drivers of LULC change were observed through a purposive household survey (N=140) with a sampling intensity of 0.5%. LULC maps were generated using initial unsupervised and later supervised classification. LULC changes were computed using the post-change detection classification technique. LULC map of 1996 AD, 2008 AD, and 2020 AD showed accuracy of 84.44 %, 85.45%, and 83.64% with a kappa value of 0.8381, 0.8497, and 0.829 respectively. Bareland, Human buildup, and grassland were found to have increased by 13.34%, 5.07%, and 29.62% respectively while sparse vegetation, dense vegetation, and water bodies were found to have decreased by 44.10%, 17.82%, and 13.34% respectively between 1996 and 2008. Likewise, there was decrease in grassland area (-26%), dense vegetation area (-9.48%), sparse vegetation area (-5%), water bodies (-0.12%), and increase in Bareland (+20%) and Human buildup (+20.6%) in between 2008 to 2020. Eight key drivers of LULC, development of infrastructure, government policy, plans, and land market, forest encroachment, forest, and its products, political condition, economic opportunities, and hotel and tourism activities, were recognized in the study area. Further research is required to determine the specific ramifications of the aforementioned LULC change drivers, as well as the area's long-term viability.
主要土地利用、土地覆被动态及其驱动因素的制图——以尼泊尔班克市尼泊尔贡吉市为例
了解土地利用和土地覆盖的变化对于管理和监测自然资源和发展至关重要,特别是在城市化不断扩大的地方。因此,本研究利用1996年、2008年和2020年的时间Landsat卫星影像,对尼泊尔gunj副大城市的土地利用价值变化水平进行了评估,并通过抽样强度为0.5%的有目的家庭调查(N=140),观察了土地利用价值变化的关键驱动因素。LULC地图是使用最初的无监督分类和后来的监督分类生成的。使用变化后检测分类技术计算LULC变化。1996年、2008年和2020年的LULC地图精度分别为84.44%、85.45%和83.64%,kappa值分别为0.8381、0.8497和0.829。1996 ~ 2008年,裸地、人为堆积和草地分别增加了13.34%、5.07%和29.62%,而稀疏植被、茂密植被和水体分别减少了44.10%、17.82%和13.34%。草地面积减少(-26%),植被密集面积减少(-9.48%),植被稀疏面积减少(-5%),水体面积减少(-0.12%),裸地面积增加(+20%),人类活动增加(+20.6%)。在研究区域内,我们发现了8个主要驱动因素:基础设施发展、政府政策、规划和土地市场、森林侵蚀、森林及其产品、政治条件、经济机会以及酒店和旅游活动。需要进一步的研究来确定上述LULC变化驱动因素的具体后果,以及该地区的长期生存能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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