Tracking canopy gaps in mangroves remotely using deep learning

Guillaume Lassalle, Carlos Roberto de Souza Filho

Open source

DOI
10.1002/rse2.289
Published
2022-07-12
Container
Remote Sensing in Ecology and Conservation
Publisher
Wiley
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1002/rse2.289,
  title = {Tracking canopy gaps in mangroves remotely using deep learning},
  author = {Guillaume Lassalle and Carlos Roberto de Souza Filho},
  year = {2022},
  journal = {Remote Sensing in Ecology and Conservation},
  doi = {10.1002/rse2.289},
  url = {https://doi.org/10.1002/rse2.289}
}

RIS

TY  - JOUR
TI  - Tracking canopy gaps in mangroves remotely using deep learning
AU  - Guillaume Lassalle
AU  - Carlos Roberto de Souza Filho
PY  - 2022
JO  - Remote Sensing in Ecology and Conservation
DO  - 10.1002/rse2.289
UR  - https://doi.org/10.1002/rse2.289
ER  - 

APA

Lassalle, G., & Filho, C. R. D. S. (2022). Tracking canopy gaps in mangroves remotely using deep learning. Remote Sensing in Ecology and Conservation. https://doi.org/10.1002/rse2.289

Source records