Local Climate Zones and urban morphology dataset to support numerical modelling in Greece, utilizing GIS, multispectral, and SAR data

IF 1 Q3 MULTIDISCIPLINARY SCIENCES

Data in Brief Pub Date : 2025-06-16 DOI:10.1016/j.dib.2025.111784

Ilias Agathangelidis , Christos Giannaros , Constantinos Cartalis , Vassiliki Kotroni , Kostas Lagouvardos

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引用次数: 0

Abstract

Urbanization and climate change are expected to intensify urban overheating, leading to severe health risks, economic losses, and social challenges. Numerical urban modelling offers a cost-effective alternative to in-situ observations, providing broader spatial and temporal coverage of potential heat risks. Accurately representing key parameters that define urban form is crucial for leveraging advancements in urban parameterizations and high-resolution mesoscale models. The Local Climate Zones (LCZ) scheme, which classifies urban areas based on their form and function, has become the standard urban classification system over the past decade. In the current work, we present detailed 100-meter LCZ maps for the five most populated cities in Greece (Athens, Thessaloniki, Larissa, Patras, and Heraklion), along with key urban form parameters, such as building height, and height-to-width ratio. These data were developed using a hybrid GIS-based and remote sensing-based framework that incorporates ultra-high-resolution elevation models (0.8 m), supported by Copernicus Earth Observation and synthetic aperture radar (SAR) datasets. Special attention was given to ensure seamless integration with the Weather Research and Forecasting (WRF) model, enabling highly-resolved numerical weather analysis for the targeted urban areas. This was achieved by including in the dataset city-specific surface and urban canopy properties for each LCZ class, assigned through a Land Use / Land Cover (LU/LC) classification at 100 m spatial resolution in WRF compliant format. The LU/LC data were constructed by integrating the LCZ urban classes with CORINE land cover information for the natural areas. Overall, this dataset enables accurate description and modelling of urban environments and can be used across various applications, marking a significant step towards creating an open-access national urban dataset for Greece.

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利用GIS、多光谱和SAR数据，支持希腊当地气候带和城市形态数据集的数值模拟

城市化和气候变化预计将加剧城市过热，导致严重的健康风险、经济损失和社会挑战。数值城市模拟提供了一种具有成本效益的替代原位观测方法，提供了潜在热风险的更广泛的空间和时间覆盖。准确地表示定义城市形态的关键参数对于利用城市参数化和高分辨率中尺度模型的进步至关重要。当地气候区（LCZ）方案根据城市的形式和功能对其进行分类，在过去十年中已成为标准的城市分类系统。在目前的工作中，我们为希腊五个人口最多的城市（雅典、塞萨洛尼基、拉里萨、帕特雷和伊拉克利翁）绘制了详细的100米LCZ地图，并提供了关键的城市形态参数，如建筑高度和高宽比。这些数据是使用基于gis和基于遥感的混合框架开发的，该框架结合了超高分辨率高程模型（0.8 m），由哥白尼地球观测和合成孔径雷达（SAR）数据集提供支持。特别注意的是确保与天气研究与预报（WRF）模式无缝结合，为目标城市地区提供高分辨率的数值天气分析。这是通过在数据集中包括每个LCZ类别的城市特定地表和城市冠层属性来实现的，这些属性通过100米空间分辨率的土地利用/土地覆盖（LU/LC）分类来分配，符合WRF格式。LU/LC数据是通过将LCZ城市分类与CORINE自然区域土地覆盖信息相结合而构建的。总体而言，该数据集能够准确描述和建模城市环境，并可用于各种应用程序，标志着为希腊创建开放获取的国家城市数据集迈出了重要一步。

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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来源期刊

Data in Brief MULTIDISCIPLINARY SCIENCES-

CiteScore

3.10

自引率

0.00%

发文量

996

审稿时长

70 days

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