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基于哥白尼陆地监测服务数据集的局部气候区分类方法:一个基于ArcGIS的工具箱。

Local climate zones classification method from Copernicus land monitoring service datasets: An ArcGIS-based toolbox.

作者信息

Oliveira Ana, Lopes António, Niza Samuel

机构信息

IN+ Center for Innovation, Technology and Policy Research, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais 1, 1049-001 Lisboa, Portugal.

Centre of Geographical Studies, Institute of Geography and Spatial Planning (IGOT), Universidade de Lisboa, Universidade de Lisboa, R. Branca Edmée Marques, 1600-276 Lisboa, Portugal.

出版信息

MethodsX. 2020 Nov 19;7:101150. doi: 10.1016/j.mex.2020.101150. eCollection 2020.

Abstract

Local Climate Zones (LCZ) have become a worldwide standard for identifying land cover classes, according to their climate-relevant morphological parameters. The LCZ's are mostly used to evaluate urban climate performance, particularly the relationship between the urban heat island effect (UHI) and the characteristics of the built-up environment. The World Urban Database and Access Portal Tools (WUDAPT) has provided a supervised LCZ classification method based only on moderate resolution free satellite imagery, mostly Landsat 7 or 8 (30 m pixel size, in the visible spectrum brands); however, its' results are less accurate for European cities. Conversely, alternative geographic information system (GIS)-based methods developed so far require information that is hardly available to all, such as building footprints or heights. Here, the ArcGIS based LCZ from Copernicus Toolbox (LCZC) provides an alternative classification method that uses only freely accessible information from the Copernicus Land Monitoring Service (CLMS), being possible to replicate it in 800 European urban locations. The method combines Urban Atlas (UA) and Corine Land Cover (CLC) with Tree Cover Density, Dominant Leaf Type and Grassland information, to produce a higher-resolution baseline shapefile that is classified according to each feature's dominant characteristics. The LCZC toolbox output is a LCZ raster map. It has been validated in five European cities: Athens, Barcelona, Lisbon, Marseille, and Naples.•The LCZC toolbox provides an alternative LCZ GIS-based classification, based on freely accessible CLMS datasets.•The use of CLMS shapefile higher-resolution inputs, particularly the UA and CLC datasets, ensures an output LCZ map that has greater detail and higher accuracy.•The availability of CLMS information in 800 European urban areas guarantees that the method can be replicated in those locations.

摘要

根据与气候相关的形态参数,局部气候区(LCZ)已成为全球识别土地覆盖类别的标准。LCZ主要用于评估城市气候表现,特别是城市热岛效应(UHI)与建成环境特征之间的关系。世界城市数据库与访问门户工具(WUDAPT)提供了一种仅基于中等分辨率免费卫星图像(主要是陆地卫星7号或8号,30米像素大小,在可见光谱波段)的监督式LCZ分类方法;然而,其结果对欧洲城市的准确性较低。相反,迄今为止开发的基于替代地理信息系统(GIS)的方法需要几乎并非所有人都能获取的信息,例如建筑物占地面积或高度。在此,哥白尼工具箱基于ArcGIS的LCZ(LCZC)提供了一种替代分类方法,该方法仅使用哥白尼陆地监测服务(CLMS)中可免费获取的信息,从而有可能在800个欧洲城市地点进行复制。该方法将城市地图集(UA)和土地覆盖图(CLC)与树木覆盖密度、优势叶型和草地信息相结合,以生成一个更高分辨率的基线shapefile,该文件根据每个特征的主导特征进行分类。LCZC工具箱的输出是一个LCZ栅格地图。它已在五个欧洲城市得到验证:雅典、巴塞罗那、里斯本、马赛和那不勒斯。

• LCZC工具箱基于可免费获取的CLMS数据集提供了一种基于GIS的替代LCZ分类方法。

• 使用CLMS更高分辨率的shapefile输入,特别是UA和CLC数据集,可确保输出的LCZ地图具有更高的细节和准确性。

• 800个欧洲城市地区可获取CLMS信息,保证了该方法能够在这些地点进行复制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef78/7718173/0de60e9694c5/fx1.jpg

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