The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/0159bc0e-3ab9-42b6-8b12-ad3b2294face

Moustafa Habib Abdelraouf, Maha; van Esch, Marjolein ; van Ham, Maarten; Timmermans, Wim (2025): High-Resolution Datasets for Heat Vulnerability Assessment in High-Density Urban Areas of the Netherlands. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/0159bc0e-3ab9-42b6-8b12-ad3b2294face.v1

Dataset

• Other Built Environment and Design
• Climate and Climate Change
• Built Environment and Design
• Environment

Built environment, Nocturnal urban heat islands, Sky view factor, Street canyon, Urban climate

2023

CC BY-SA 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Maha Moustafa Habib Abdelraouf , Marjolein van Esch , Maarten van Ham , Wim Timmermans

OVERVIEW:

• - This repository contains datasets for calculating the daily maximum Urban Heat Island (UHImax) effect across Dutch urban areas. The methodology is based on the diagnostic equation developed by Theeuwes et al. (2017) for northwestern European cities. The datasets focus on municipalities with population densities exceeding 1,000 people per km².

• - To support reproducibility, we provide detailed documentation that enable researchers to generate UHImax datasets for time periods other than 2023 (refer to the README.md for detailed documentation).

DATASET SPECIFICATIONS:

1) Urban Heat Island Maximum (UHImax) Dataset

• - Format: GeoTIFF
• - Resolution: 5m
• - Units: K
• - Value Range: 0-10 K
• - Temporal Coverage: Summer 2023 (June 1 - Sept 31)
• - NoData Value: NA

2) Sky View Factor (SVF) Dataset

• - Format: GeoTIFF
• - Resolution: 5m
• - Value Range: 0-1 (0: completely obstructed; 1: completely unobstructed)
• - NoData Value: NA
• - Temporal Coverage: 2020-2022

DATASET SPATIAL COVERAGE (99 Dutch municipalities) :

Katwijk; Leiden; Leiderdorp; Lisse; Oegstgeest; Voorschoten; Zoetermeer; Teylingen; Leidschendam-Voorburg; 's-Gravenhage; Den Helder; Aalsmeer; Amstelveen; Amsterdam; Beverwijk; Diemen; Haarlem; Heemskerk; Heemstede; Uithoorn; Velsen; Zaanstad; Hillegom; Gooise Mere; Alkmaar; Heiloo; Hoorn; Purmerend; Stede Broec; Dijk en Waard; Amersfoort; Soest; Zeist; Nieuwegein; Blaricum; Hilversum; Huizen; Utrecht; Enkhuizen; Almere; Harderwijk; Urk; Arnhem; Wageningen; Westervoort; Zutphen; Veenendaal; Zwolle; Groningen; Almelo; Enschede; Hengelo (O.); Oldenzaal; Middelburg (Z.); Vlissingen; Maassluis; Westland; Maassluis; Westland; Alblasserdam; Barendrecht; Capelle aan den IJssel; Delft; Hendrik-Ido-Ambacht; Krimpen aan den IJssel; Ridderkerk; Rotterdam; Rijswijk (ZH.); Schiedam; Albrandswaard; Vlaardingen; Waddinxveen; Zwijndrecht; Lansingerland; Pijnacker-Nootdorp; Nissewaard; IJsselstein; Dordrecht; Gouda; Hardinxveld-Giessendam; Papendrecht; Sliedrecht; Breda; Tilburg; Culemborg; Tiel; Gorinchem; 's -Hertogenbosch; Eindhoven; Helmond; Veldhoven; Geldrop-Mierlo; Nijmegen; Roermond; Landgraaf; Brunssum; Heerlen; Kerkrade; Maastricht; Stein (L.); Sittard-Geleen.

• 2025-01-06 first online, published, posted

4TU.ResearchData

GeoTIFF

• https://doi.org/10.1002/joc.4717

TU Delft, Faculty of Architecture and the Built Environment, Department of Urbanism