Digital Resource Library

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Access project outputs, reports, datasets, model snapshots and educational materials

8 Resources CC BY 4.0 License Open Access

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Showing 8 of 8 resources

2026-04

Scientific Publication

Scientific publication covering detailed modelling, urban-scale modelling and model reduction approaches for urban tree representation.

File typePDF Size4.8 MB Versionv1.0
2026-04

Set of Improved Methods

Collection of improved methods for LiDAR-based PAD calculation, turbulence calibration, tree libraries and reconstruction algorithms.

File typePDF Size6.2 MB Versionv2.0
2026-04

Guidelines

Guidelines for tree representation, input-output quality correlation and responsible interpretation of modelling outputs.

File typePDF Size3.7 MB Versionv1.5
Scenario
2026-04

Street Canyon Scenario Dataset Snapshot

Aggregated data snapshot for street canyon scenario comparison including meteorological measurements and simulation outputs.

File typeCSV Size18.3 MB Versionv2.0
2026-04

RiCo Campus Tree Model

Detailed tree model and simulation configuration files for the RiCo campus tree demonstration scenario.

File typeZIP Size42.1 MB Versionv1.2
Educational
2026-04

Educational Knowledge Card Pack

Visual educational materials explaining key urban tree phenomena for planners, educators and students.

File typePDF Size12.5 MB Versionv1.0
2026-04

Gdansk Living Lab Tree Inventory Snapshot

Aggregated tree inventory snapshot for Barcelona street corridor living lab including species, height and crown parameters.

File typeJSON Size8.9 MB Versionv1.2
Report
2026-04

Florence Green Corridors Report

Analysis report on green corridor cooling potential and stormwater management benefits in Copenhagen living lab.

File typePDF Size5.6 MB Versionv1.0

Demonstration & Knowledge Transfer

Resources are provided for knowledge transfer and demonstration purposes. Data represents snapshots, aggregations and demonstration datasets from the project period. This platform does not provide real-time operational datasets or continuous data streams.

License & Attribution

All resources are published under Creative Commons CC BY 4.0 license. Please cite the Urban ElementTREE project and relevant deliverables when using our data, methods or outputs in your work.