Open by default
Make source attribution, provenance and validation status inspectable. Dataset rights remain source-specific; no blanket licence or accuracy is implied.
Research mission
Oil palm covers vast areas of Southeast Asia, yet the tools to understand it remain scattered across imagery archives, models and one-off scripts.
OpenPalm AI brings satellite imagery, geospatial analysis, evidence-grounded research and autonomy simulation into one inspectable platform, starting with a historical study in Malaysia.
Make source attribution, provenance and validation status inspectable. Dataset rights remain source-specific; no blanket licence or accuracy is implied.
Each level of intelligence depends on suitable evidence. Real observations, predicted heights and synthetic outputs are explicitly distinguished.
Research responses expose selected evidence, citations and uncertainty. The studio is a visual workflow draft; autonomous multi-agent execution is planned.
Share reproducible methods and invite datasets, annotations and analyses. The current contribution form creates a local draft; publication and peer review are planned.
Roadmap
Real Sentinel-2 NDVI, pixel inspection, scientific exports and saved research. SAM segmentation remains planned.
Available studyCrown detection once suitable very-high-resolution imagery and validation labels are available.
PlannedHistorical Meta-predicted CHMv2 summaries are available. Ground-truth height validation remains open.
Descriptive studySynthetic coverage-route simulation. Operational terrain, obstacles and flight-safety validation remain future work.
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Prepare a contribution draft for datasets, annotations, models or analyses. Community submission and publication are not enabled in this prototype.