Energy and Mining
Land and Asset Encroachment Early Warning
AI early warning that helps a company protect its land and field assets from encroachment.
geospatialunverified
Named Models
The research names no model for this use case.
Where this comes from
Models the research names for this use case. Research, with sources on each model record.
Who Runs It
proof of concept, 1
PT Pertamina Hulu RokanCountry: IndonesiaLandGuard AI early warning for company land assetsVendor: Pertamina Hulu Rokan (in-house)proof of conceptDate7 Jul 2026Proof of concept category winner, IOC Digital Hackathon AI/ML Hulu Migas 2026Evidence: company statementConfidence: lowSource: investortrust.id, finance.detik.com
Where this comes from
Documented uses by named organisations. The evidence column says who made the claim.
Candidate Models
DINOv3 SAT-493M ViT-7BMeta, geospatialReleasedAug 2025open weightslast 18 months
DINOv3 SAT-493M ViT-L (distilled)Meta, geospatialReleasedAug 2025open weightslast 18 months
TerraMindIBM, European Space Agency (ESA), Julich (Forschungszentrum Julich), geospatialReleasedFeb 2025open weightsruns on edge
TerraCodecIBM, geospatialReleased2025open weightsruns on edge
Prithvi-EO-2.0 TINY-TLIBM, NASA, geospatialReleasedDec 2024open weightsruns on edge
Natural Forests of the World 2020 model (MTSViT)Google DeepMind, Google, World Resources Institute (WRI), IIASA, geospatialReleasedNov 2025last 18 months
SkySense V2Ant Group, geospatialReleasedJul 2025last 18 months
AlphaEarth Foundations (Satellite Embedding v1 Annual)Google DeepMind, geospatialReleasedJul 2025last 18 monthsShowing 10 of 34. All models of this class
Where this comes from
Derived, not researched: models in the directory whose class matches a class this use case uses, excluding family records and models shut down or deprecated. Ranked by how many fit facts they meet, then by release date. Each fit fact is read from the model record.
Links
Modelsnone recorded
Sources
- investortrust.id/business/108746/hackathon-ai-hulu-migas-2026-... https://investortrust.id/business/108746/hackathon-ai-hulu-migas-2026-hasilkan-potensi-nilai-ekonomi-rp-4-67-triliun
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Land and Asset Encroachment Early Warning", https://aurion.semai.id/usecases/em-land-encroachment-early-warning/, records of October 2026.