Data · dataset · 2021
Light Detection and Ranging (LiDAR)-based Forest Inventory and Land Classification Map 2020 of the University of British Columbia (UBC) Vancouver Campus
Listed in Borealis and Agri-environmental Research Data Dataverse — shown once because both records carry DOI 10.5683/sp2/kyvqwm
As urban forest provides ecological, social, and economic values to the residents, forest inventory can monitor forest health.
Description
Based on the land classification map, the campus planning team pays attention to tree health in the public green space of the University of British Columbia (UBC) campus in Vancouver, Canada. Working together, the forest inventory and land classification map are the priorities of urban planning and forest health in UBC.
In order to solve the knowledge gap of no current inventory and land classification map on campus, this study aimed to update the UBC tree inventory and land classification map. R algorithms extracted individual trees’ parameters and metrics like tree height and crown area using Light Detection and Ranging (LiDAR) data 2018 by the City of Vancouver. The author applied random forest classification to determine the tree species (coniferous/deciduous) with the metrics.
Read the rest (2 more)
Four major land cover types were classified by the supervised classification scheme using the UBC orthophoto 2020. The results show that there are 14165 trees (crown diameter more than 4 m) on campus, and the height estimation by the LiDAR method had an overall accuracy of 80% comparing to the field data. The campus’s total vegetation cover was 44% that is higher than the cities in Great Vancouver.
The land classification map shows that most of the vegetation cover is on the southern campus. Considering the campus’s topography, coniferous trees on the southwest campus provided potential ecological implications of water retention and preventing soil erosion. The study provided the basis for future studies of trees, vegetation, and UBC Vancouver Campus land planning.
Links
Where it is published
- Dataverse dataset page borealisdata.ca/dataset.xhtml?persistentId=doi%3A10.5683%2FSP2%2FKYVQWM ↗
landing page · from borealisdata ca
- DOI doi.org/10.5683/sp2/kyvqwm ↗
DOI / persistent id · from borealisdata ca
Catalogue records · 1
- Dataverse API borealisdata.ca/api/datasets/:persistentId/?persistentId=doi%3A10.5683%2FSP2%2… ↗
metadata API · from borealisdata ca
Topics
- Stated by source
- Earth and Environmental Sciences · Earth and Environmental Sciences
- From keywords
- Chemistry · Computer Science & AI · Earth & Environmental Science · Earth & Environmental Science · Economics & Finance · Engineering · Humanities · Life Sciences · Mathematics & Statistics · Medicine & Health · Ocean & Atmospheric Science · Social Science
- Inferred from text
- Forestry sciences 74%
Provenance · 2 source records, 21 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Borealis | doi:10.5683/SP2/KYVQWM | 10 d ago | JSON v1 |
| Agri-environmental Research Data Dataverse | doi:10.5683/SP2/KYVQWM | 9 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:3007 | enrichment · borealisdata ca | taxonomy-embedding@1.0.0 | title+keywords+description (74%) |
| concepts[field].dataverse_subject:earth-and-environmental-sciences | source · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].dataverse_subject:earth-and-environmental-sciences | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | /subjects |
| concepts[field].local:field:chemistry | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:computer-science-ai | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:earth-environmental | mapping · borealisdata ca | connector:borealisdata_ca@1.0.0 | /subjects |
| concepts[field].local:field:earth-environmental | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:economics-finance | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:engineering | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:humanities | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:life-sciences | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:mathematics-statistics | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:medicine-health | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:ocean-atmospheric | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:social-science | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| created_date | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | |
| description | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | /description |
| publication_date | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | |
| title | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | /name |
| updated_date | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | |
| version_label | source · borealisdata ca | connector:borealisdata_ca@1.0.0 |