城市热环境及热岛效应
收藏国家对地观测科学数据中心2023-11-03 更新2024-03-04 收录
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https://www.chinageoss.cn/datasharing/datasetDetails/6398629af64eb66545fa01d7
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资源简介:
城市热岛是衡量城市生态环境的重要指标因子,热岛等级越高代表城市的生态环境越差。利用遥感数据可以获取分析城市区域强热岛面积比例、弱热岛面积比例、非热岛面积比例,以及2010~2015年强热岛面积比例、弱热岛面积比例、非热岛面积比例的变化。
从热岛面积比例看,2015年各城市区域热岛面积比例差别很大,从强热岛面积比例来看,阿拉木图和塔什干城市区域的比例最大,分别为39.08%和26.10%,其次为天山北坡城市区域,为25.29%;然后为开罗城市区域,为23.66%;最小的是约翰内斯堡城市区域,为1.32%;从弱热岛面积比例来看,达累斯萨拉姆城市区域的比例最大,为47.91%,其次为开罗和安卡拉城市区域,分别为41.43%和38.72%;最小的是悉尼城市区域,为12.05%:从非热岛面积比例来看,悉尼和亚的斯亚贝巴的比例最大,分别为86.32%和81.58%,其次为中原城市区域,为79.10%,最小的是开罗城市区域,为34.91%。
Urban heat island (UHI) is an important indicator for evaluating urban ecological environment, with a higher UHI grade indicating a poorer urban ecological environment. Remote sensing data can be used to obtain and analyze the area proportions of strong heat islands, weak heat islands, and non-heat islands in urban areas, as well as the changes in these three proportions from 2010 to 2015.
In 2015, there were considerable differences in heat island area proportions across various urban regions. For the proportion of strong heat islands, Almaty and Tashkent had the largest shares, at 39.08% and 26.10% respectively, followed by the urban area on the northern slope of the Tianshan Mountains at 25.29%, then Cairo urban area at 23.66%, with Johannesburg urban area recording the smallest proportion at 1.32%. For the proportion of weak heat islands, Dar es Salaam urban area had the largest share at 47.91%, followed by Cairo and Ankara urban areas at 41.43% and 38.72% respectively, while Sydney urban area had the minimum proportion at 12.05%. For the proportion of non-heat islands, Sydney and Addis Ababa had the largest shares at 86.32% and 81.58% respectively, followed by the Central Plains urban area at 79.10%, with Cairo urban area having the smallest proportion at 34.91%.
创建时间:
2023-11-03
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集聚焦于城市热环境及热岛效应,基于2010年和2015年的遥感数据,分析了'一带一路'沿线城市区域的热岛面积比例变化,包括强热岛、弱热岛和非热岛区域的分布。数据以1km分辨率的栅格形式提供,通过多源卫星协同定量遥感生产系统(MuSyQ系统)生成,旨在评估城市生态环境质量,为相关研究提供科学依据。
以上内容由遇见数据集搜集并总结生成



