利用多时卫星图像分析气候变化引起的土地利用土地覆盖时空变化

IF 2.7 4区 环境科学与生态学 Q2 WATER RESOURCES
Izhar Ahmad, Muhammad Waseem, Sadaquat Hussain, M. Leta
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引用次数: 0

摘要

本研究考察了伊斯兰堡四十年来的景观变化,将土地退化归因于土地利用和覆盖的变化。通过使用 1980 年至 2023 年的大地遥感卫星图像,该研究对五个类别的城市增长进行了分析。通过使用归一化差异植被指数(NDVI)和归一化差异建成区指数,报告指出,到 2023 年,建成区面积将扩大到 61%,农业用地将收缩,森林覆盖率将波动。水体和裸露土地大幅减少。在高精度值下,归一化差异植被指数从 1980 年的 +0.4523 波动到 2010 年的 +0.1596,然后回升到 +0.4422。贫瘠土壤、植被和建筑密集区的波动可能会导致气温和降雨量的变化。本研究探讨了 LULC 与地表温度的相关性。受访者(755 人)对环境变化表示担忧,预计降雨量将减少,干旱将加剧。这项研究对实现可持续发展目标很有价值,它为制定有效的城市规划和土地利用控制政策提供了信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Climate change-induced spatiotemporal variations of land use land cover by using multitemporal satellite imagery analysis
This study examines Islamabad's landscape changes over four decades, attributing land degradation to shifts in land use and cover. Using Landsat imagery from 1980 to 2023, it analyzes urban growth in five categories. By employing the normalized difference vegetation index (NDVI) and normalized difference built-up index, it notes built-up areas expanding to 61% by 2023, agricultural land contraction, and fluctuating forest cover. Water bodies and bare land decrease significantly. With high accuracy values, NDVI fluctuates from +0.4523 in 1980 to +0.1596 in 2010, rebounding to +0.4422. Fluctuations in barren soil, vegetation, and built-up areas potentially contribute to temperature and rainfall changes. The study explores LULC and land surface temperature correlation. Surveyed respondents (755) express concerns about environmental changes, anticipating reduced rainfall and increased drought. Valuable for sustainable development goals, the study informs policy formulation for effective urban planning and land use control.
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来源期刊
CiteScore
4.80
自引率
10.70%
发文量
168
审稿时长
>12 weeks
期刊介绍: Journal of Water and Climate Change publishes refereed research and practitioner papers on all aspects of water science, technology, management and innovation in response to climate change, with emphasis on reduction of energy usage.
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