An Open and Transferable Deep Learning Framework for Mapping Urban Tree Canopy Using NAIP Imagery.

Yoo J, Qi Y, Ashe-McNalley I, MacDonald B, Wilson JP

DOI: 10.3390/rs18121899
Published: 2026 Jun 2
Container: Remote sensing
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/rs18121899,
  title = {An Open and Transferable Deep Learning Framework for Mapping Urban Tree Canopy Using NAIP Imagery.},
  author = {Yoo J and Qi Y and Ashe-McNalley I and MacDonald B and Wilson JP},
  year = {2026},
  journal = {Remote sensing},
  doi = {10.3390/rs18121899},
  url = {https://doi.org/10.3390/rs18121899}
}

RIS

TY  - JOUR
TI  - An Open and Transferable Deep Learning Framework for Mapping Urban Tree Canopy Using NAIP Imagery.
AU  - Yoo J
AU  - Qi Y
AU  - Ashe-McNalley I
AU  - MacDonald B
AU  - Wilson JP
PY  - 2026
JO  - Remote sensing
DO  - 10.3390/rs18121899
UR  - https://doi.org/10.3390/rs18121899
ER  -

APA

J, Y., Y, Q., I, A., B, M., & JP, W. (2026). An Open and Transferable Deep Learning Framework for Mapping Urban Tree Canopy Using NAIP Imagery.. Remote sensing. https://doi.org/10.3390/rs18121899

Source records

pubmed · retrieved 2026-09-26T05:06:42.412Z