西孟加拉邦Koch Bihar地区土地利用变化及其对地表温度影响的地理空间评价

Pritam Saha , Shasanka Kumar Gayen
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引用次数: 0

摘要

土地利用和土地覆被 (LULC) 的变化会对区域气候产生重大影响,尤其是对地表温度 (LST) 的影响。本研究采用遥感(RS)和地理信息系统(GIS)技术,评估了过去三十年(1991-2021 年)西孟加拉邦 Koch Bihar 地区 LULC 的变化及其对热的影响。以往的研究主要集中于评估土地利用的转变,而对土地热量维度以及主要转换模式和时间趋势的系统识别关注有限。利用多时相大地遥感卫星图像对植被、农田、建筑区、休耕地和水体进行了分类,揭示了重大的转变。结果表明,农业用地扩大了 6.31%,而建筑密集区增加了 5.18%,主要是以植被覆盖(10.81%)为代价,导致 LST 发生了显著变化。季节性气温变化趋势表明,夏季 LST 从 37.52°C (1991 年) 升至 39.76°C (2021年),而秋季气温则有所上升,凸显了城市热岛效应 (UHI)。在研究区域,归一化植被指数(NDVI)值随着时间的推移而下降,证实了植被覆盖的减少,反映了城市化的加剧。空间趋势分析表明,城市化、农业集约化和森林砍伐导致整个地区的热负荷增加。这项研究的成果可为可持续土地利用规划和有效管理战略提供科学依据,从而成为决策者的宝贵资源,并提高公众意识。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A geospatial assessment of land use changes and their influence on land surface temperature in Koch Bihar district, West Bengal
Land use and land cover (LULC) changes significantly impact regional climate, particularly their influence on land surface temperature (LST). This study employs remote sensing (RS) and geographic information system (GIS) techniques to assess LULC transitions and their thermal effects in the Koch Bihar district of West Bengal over the past three decades (1991–2021). Previous studies have predominantly concentrated on assessing land-use transformations, with limited attention given to the LST dimension and the systematic identification of major conversion patterns and temporal trends. Multi-temporal Landsat imagery was used to classify vegetation, agricultural land, built-up areas, fallow land and water bodies, revealing significant transformations. Results showed that agricultural land expanded by 6.31 %, while built-up areas increased by 5.18 %, primarily at the expense of vegetation cover (10.81 %), contributing to significant LST modifications. Seasonal temperature trends indicate a rise in summer LST from 37.52°C (1991) to 39.76°C (2021) and an increase in autumn temperatures, highlighting the urban heat island (UHI) effect. In the study area, Normalized Difference Vegetation Index (NDVI) values declined over time, confirming a loss of vegetative cover and reflecting intensified urbanisation. The spatial trend analysis indicates that urbanisation, agricultural intensification and deforestation have led to higher thermal loads across the region. The outcomes of this study may serve as a valuable resource for policymakers and enhance public awareness by offering a scientific foundation for sustainable land use planning and effective management strategies.
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