Future of Nature's economy - Tracking deforestation in Palm oil plantations in Indonesia

Predicting supply chain risks in the palm oil industry using satellite imagery and machine learning

We fuse multiple data sources to predict supply chain risks in the palm oil industry.
Data includes satellite imagery, company ownership, forest cover loss, RSPO compliance status, RADD and GLAD alerts and Palm Oil Estates.
We quantify regional risk, mapping estate ownership to companies and tracking deforestation in palm oil plantations in Indonesia -> idenitify supply chain risks due to violations of RSPO standards.

We use satellite imagery to track deforestation in palm oil plantations in Indonesia.
We map the ownership to the plantations and the companies that are responsible for the deforestation.
We use object detection to identify the palm plantations and its expansion in the forested areas.

Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
.gitignore		.gitignore
Forest_1.jpeg		Forest_1.jpeg
Forest_1.tif		Forest_1.tif
README.md		README.md
RPSO_palm_oil.png		RPSO_palm_oil.png
RPSO_palm_oil_bitmap.png		RPSO_palm_oil_bitmap.png
by_type.gif		by_type.gif
critical_zone_bitmap.png		critical_zone_bitmap.png
crop_mov.py		crop_mov.py
dataset.py		dataset.py
deforestation_model.py		deforestation_model.py
getLocation.py		getLocation.py
invert.py		invert.py
no_label.png		no_label.png
palm_oil_concession.png		palm_oil_concession.png
palm_oil_concession_bitmap.png		palm_oil_concession_bitmap.png
registed_palm_oil.png		registed_palm_oil.png
registed_palm_oil_bitmap.png		registed_palm_oil_bitmap.png
substract_img.py		substract_img.py
train.py		train.py
tree_loss.mov		tree_loss.mov