Données pour l'article intitulé "Canopy assessment of cycling routes: Comparison of videos from a bicycle-mounted camera and GPS and satellite imagery"

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Description:
The Python code to evaluate the canopy detection with Detectron2 is available at: https://gitlab.com/albert.bourassa/detectron2_canopy
Author(s):
Apparicio, Philippe

Apparicio, Philippe

Institut national de la recherche scientifique
0000-0001-6466-9342
 and Bourassa, Albert

Bourassa, Albert

Institut national de la recherche scientifique
0000-0002-8328-9043
Contributor(s):
Apparicio, Philippe
Source Repository:
Dataverse de l'Institut national de la recherche scientifique
Series:
Dataverse du Laboratoire d'équité environnementale
Publisher(s):
Borealis
Access:
Public
URL:
https://doi.org/10.5683/SP3/HLTGHP
Publication date:
2023-01-13
Subjects:
Social Sciences
Keywords:
video, bicycle, canopy, trees, Montréal, NDVI, automatic detection, and Detectron2
Identifier:
https://doi.org/10.5683/SP3/HLTGHP

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Citation

APA Citation:
Apparicio, P., & Bourassa, A. (2023). Données pour l'article intitulé "Canopy assessment of cycling routes: Comparison of videos from a bicycle-mounted camera and GPS and satellite imagery" [Data set]. Dataverse de l'Institut national de la recherche scientifique. https://doi.org/10.5683/SP3/HLTGHP
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