Detecting and measuring fine-scale urban tree canopy loss with deep learning and remote sensing
Type of content
Conference Contributions - Other
UC permalink
Publisher's DOI/URI
Thesis discipline
Degree name
Publisher
Journal Title
Journal ISSN
Volume Title
Language
Date
2024
Authors
Pedley D
morgenroth, justin
Pearse G
Abstract
Description
Citation
Pedley D, Morgenroth J, Pearse G (2024). Detecting and measuring fine-scale urban tree canopy loss with deep learning and remote sensing. Rotorua, New Zealand: ForestSAT. 09/09/2024-13/09/2024.
Keywords
Ngā upoko tukutuku/Māori subject headings
ANZSRC fields of research
30 - Agricultural, veterinary and food sciences::3007 - Forestry sciences::300707 - Forestry management and environment
46 - Information and computing sciences::4601 - Applied computing::460106 - Spatial data and applications
46 - Information and computing sciences::4611 - Machine learning::461103 - Deep learning
46 - Information and computing sciences::4601 - Applied computing::460106 - Spatial data and applications
46 - Information and computing sciences::4611 - Machine learning::461103 - Deep learning
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All rights reserved unless otherwise stated