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Programa Assoc. UEM-UEL
de Pós-Graduação em Arq. e Urbanismo

Land Cover Classification Maps

Deep learning-based urban land cover classification using freely available high resolution satellite imagery from Google Earth.

CLIP RSICD

Contrastive Language-Image Pre-Training (CLIP) model with Vision Transformer (ViT-B/32) backbone, fine-tuned on the RSICD dataset, used as a feature extractor.

Specifications:
• Spatial Resolution: 109×109m
• Year: 2024
View CLIP Classification Map

DINOv2 ViTL/14

Self-supervised vision transformer (DINOv2) with Low-Rank Adaptation (LoRA) for efficient fine-tuning.

Specifications:
• Spatial Resolution: 109×109m
• Year: 2024
View DINOv2 LoRA Classification Map

Land Cover Classes

Bare Soil
Shrub/Scrub
Row Crops
Grass/Pasture
Developed High Density
Developed Industrial
Developed Low Density
Developed Medium Density
Perennial Trees
Perennial Water

Municipalities

Londrina
Cambé
Ibiporã
Apucarana
Arapongas
Cambira
Jandaia do Sul
Mandaguari
Marialva
Rolândia
Sarandi
Maringá
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