Skip to content

Automatic tree species classification from remote sensing data

License

Notifications You must be signed in to change notification settings

jonathanventura/canopy

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

23 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

canopy

Automatic tree species classification from remote sensing data

Code from our paper:

Fricker, G. A., Ventura, J. D., Wolf, J. A., North, M. P., Davis, F. W., & Franklin, J. (2019). A Convolutional Neural Network Classifier Identifies Tree Species in Mixed-Conifer Forest from Hyperspectral Imagery. Remote Sensing, 11(19), 2326.


To create a conda environment:

conda create -n canopy tensorflow=1.10.0 pip ;
conda activate canopy ;
pip3 install -r docker/requirements.txt ;

To run the example experiment:

mkdir hyperspectral ; 
python -m experiment.download ;
python -m experiment.preprocess --out hyperspectral;
python -m experiment.train --out hyperspectral;
python -m experiment.test --out hyperspectral;
python -m experiment.analyze --out hyperspectral;

About

Automatic tree species classification from remote sensing data

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published