Research data supporting "Urban Land Cover Mapping Enhanced with LiDAR Canopy Height Data to Quantify Urbanisation in an Arctic City: A Case Study of the City of Tromsø, Norway, 1984–2024. Hebryn-Baidy et al. 2026."

Name: Research data supporting "Urban Land Cover Mapping Enhanced with LiDAR Canopy Height Data to Quantify Urbanisation in an Arctic City: A Case Study of the City of Tromsø, Norway, 1984–2024. Hebryn-Baidy et al. 2026."
Published: 2026-03-30T09:03:02Z
Keywords: canopy height model, data fusion, global human population, high-resolution imagery, land use/land cover, LiDAR, Tromsø, Norway, urbanisation

Hebryn-Baidy, Liliia; Rees, Gareth; Weeks, Sophie; Belenok, Vadym

doi:https://doi.org/10.17863/CAM.125274

Research data supporting "Urban Land Cover Mapping Enhanced with LiDAR Canopy Height Data to Quantify Urbanisation in an Arctic City: A Case Study of the City of Tromsø, Norway, 1984–2024. Hebryn-Baidy et al. 2026."

Repository URI

https://www.repository.cam.ac.uk/handle/1810/395926

Repository DOI

https://doi.org/10.17863/CAM.125274

Files

Tables_Figures_GEEcode.docx (1.13 MB)

Type

Dataset

Authors

Hebryn-Baidy, Liliia

Rees, Gareth

https://orcid.org/0000-0001-6020-1232

Weeks, Sophie

Belenok, Vadym

Description

Supplementary materials for Urban Land Cover Mapping Enhanced with LiDAR Canopy Height Data to Quantify Urbanisation in an Arctic City: A Case Study of the City of Tromsø, Norway, 1984–2024. Hebryn-Baidy et al. 2026.

Tables S1-S2: Details of satellite imagery used in this study. Table S3: Reconciliation of the spectral bands used in different types of satellite imagery. Table S4: details of LiDAR datasets used in this study. Table S5: Land cover classification classes used in this study. Figure S1: Reflectance profiles (spectral signatures) of land cover training and validation samples. Figure S2: Classification accuracies for different land cover classes. Google Earth Engine scripts: Links to GEE processing scripts developed and used in this study.

Software / Usage instructions

This is a word processor document containing text and figures. It can be read using any program capable os reading the .docx format, such as Microsoft Word, LibreOffice etc.