Multi-Modal Foundation · allenai
OlmoEarth v1 FT — Forest Loss Driver (Base)
Identifies causes of satellite-detected forest loss, such as agriculture, logging, and fire, for Earth scientists.
What OlmoEarth v1 FT — Forest Loss Driver (Base) is
OlmoEarth v1 FT — Forest Loss Driver (Base) is an Earth-observation model developed by allenai. It is designed to attribute detected forest-loss events to specific underlying causes using satellite imagery.
By categorising the factors responsible for canopy loss—such as agricultural expansion, timber harvesting, or wildfires—the model aids researchers working across conservation biology, climate science, and Earth observation.
How it works
The model is adapted directly from OlmoEarth-v1-Base, specialising its representations to distinguish and classify different drivers of forest disturbance from overhead satellite imagery.
Key facts
- Base model
- OlmoEarth-v1-Base
- Category
- Earth-Observation Fine-Tune
- Primary fields
- Earth science, conservation, climate
What you can use it for
- Forest Loss Driver Attribution
- Classify the specific mechanisms driving forest clearing, such as logging, fire, or agriculture, from satellite data.
- Conservation and Land-Use Monitoring
- Track whether canopy loss within protected areas or managed forests is driven by planned harvest or unplanned disturbance.
- Climate Impact Assessment
- Differentiate permanent land-use change from transient disturbances like wildfires to better quantify carbon stock implications.
Run it here
We list this model but cannot run it yet: no pipeline_tag — needs a human.
Everything on this page still applies. Running it needs a loader for this repository, not a bigger machine.
Strengths and limits
Good at
- Fine-tuned directly from OlmoEarth-v1-Base to target specific causal mechanisms of canopy change.
- Addresses multi-class attribution across major deforestation drivers including fire, logging, and agriculture.
Watch out for
- Focuses specifically on attributing causes of forest loss rather than general land-cover mapping.
- Input imagery specifications, supported resolutions, and complete class taxonomies are not specified in the primary documentation.
Inputs and outputs
You provide
Sequence or text
A protein or nucleotide sequence, or free text — whichever this model was trained on.
You get back
Mean-pooled representation, one vector per input.
Licence
Check the licence before commercial use · See model card
The See model card licence carries terms worth reading before you depend on it.
Questions
Can I use OlmoEarth v1 FT — Forest Loss Driver (Base) commercially?
Check the licence before commercial use. The See model card licence carries terms worth reading before you depend on it.
What base model was used to create this fine-tune?
It is fine-tuned from OlmoEarth-v1-Base.
What drivers of forest loss does the model identify?
It identifies underlying causes of forest loss from satellite imagery, including agriculture, logging, and fire.
Which scientific domains is this model built for?
It is developed for Earth science, conservation biology, and climate research.
Written from OlmoEarth v1 FT — Forest Loss Driver (Base)'s own documentation (model card). Statements citing a figure that does not appear there are removed before publication. Licence and running details come from our registry.