Regional Processing
Optimized configurations for different French regions to account for geographic and climatic variations.
Overview
Different regions in France require specific processing parameters to account for:
- Climate variations (Mediterranean vs Atlantic vs Alpine)
- Urban density (Paris region vs rural areas)
- Terrain characteristics (mountains, plains, coastal areas)
- Vegetation types (deciduous, coniferous, Mediterranean)
Metropolitan Regions
Île-de-France (Paris Region)
High urban density, complex building patterns, extensive infrastructure.
from ign_lidar import Config
ile_de_france_config = Config(
region="ile-de-france",
features={
'buildings': {
'min_points': 50, # Dense buildings
'height_threshold': 2.5,
'edge_detection': 'enhanced',
'roof_complexity': 'high'
},
'vegetation': {
'urban_parks': True,
'street_trees': True,
'min_canopy_height': 3.0
},
'infrastructure': {
'roads': 'detailed',
'railways': True,
'bridges': True,
'tunnels': True
}
},
preprocessing={
'noise_removal': 'aggressive',
'ground_classification': 'urban'
}
)
Provence-Alpes-Côte d'Azur (PACA)
Mediterranean climate, varied terrain from coast to high mountains.
paca_config = Config(
region="paca",
features={
'buildings': {
'mediterranean_style': True,
'roof_tiles': 'terracotta',
'flat_roofs': True
},
'vegetation': {
'drought_resistant': True,
'olive_trees': True,
'garrigue': True,
'alpine_vegetation': True # For mountain areas
},
'terrain': {
'coastal': True,
'mountainous': True,
'cliff_detection': True
}
},
climate_adaptation={
'heat_island_effect': True,
'wind_erosion': 'moderate'
}
)
Bretagne (Brittany)
Atlantic climate, coastal features, traditional architecture.
bretagne_config = Config(
region="bretagne",
features={
'buildings': {
'slate_roofs': True,
'granite_construction': True,
'traditional_architecture': True
},
'vegetation': {
'maritime_pine': True,
'heathland': True,
'bocage': True, # Hedgerow landscapes
'coastal_vegetation': True
},
'coastal': {
'cliff_erosion': True,
'tidal_zones': True,
'salt_marsh': True
}
},
climate_adaptation={
'high_humidity': True,
'salt_corrosion': True,
'wind_exposure': 'high'
}
)
Auvergne-Rhône-Alpes
Alpine terrain, varied elevations, ski infrastructure.
auvergne_rhone_alpes_config = Config(
region="auvergne-rhone-alpes",
features={
'buildings': {
'alpine_architecture': True,
'steep_roofs': True, # Snow load
'ski_infrastructure': True
},
'vegetation': {
'coniferous_forests': True,
'alpine_meadows': True,
'treeline_detection': True
},
'terrain': {
'high_altitude': True,
'steep_slopes': True,
'glacial_features': True,
'avalanche_zones': True
}
},
elevation_processing={
'altitude_correction': True,
'slope_analysis': 'detailed'
}
)
Overseas Territories
Guyane (French Guiana)
Tropical rainforest, high humidity, unique ecosystem.
guyane_config = Config(
region="guyane",
features={
'vegetation': {
'tropical_rainforest': True,
'canopy_layers': 'multi-story',
'emergent_trees': True,
'epiphytes': True
},
'hydrology': {
'river_systems': 'complex',
'wetlands': True,
'seasonal_flooding': True
}
},
climate_adaptation={
'high_humidity': True,
'rapid_growth': True,
'cloud_cover_frequent': True
},
preprocessing={
'atmospheric_correction': 'tropical',
'canopy_penetration': 'enhanced'
}
)
Guadeloupe & Martinique
Caribbean islands, volcanic terrain, tropical climate.
antilles_config = Config(
region="antilles",
features={
'buildings': {
'hurricane_resistant': True,
'concrete_construction': True,
'galvanized_roofs': True
},
'vegetation': {
'tropical_vegetation': True,
'palm_trees': True,
'sugar_cane': True,
'mangroves': True
},
'terrain': {
'volcanic': True,
'coastal': True,
'hurricane_damage': True
}
},
hazard_assessment={
'cyclone_vulnerability': True,
'volcanic_risk': True,
'tsunami_zones': True
}
)
La Réunion
Volcanic island, extreme elevation changes, tropical climate.
reunion_config = Config(
region="reunion",
features={
'terrain': {
'volcanic_active': True,
'extreme_elevation': True, # 0-3000m
'cirques': True, # Volcanic calderas
'lava_flows': True
},
'vegetation': {
'altitude_zones': 'multiple',
'endemic_species': True,
'cloud_forest': True
},
'climate': {
'trade_winds': True,
'orographic_precipitation': True
}
},
elevation_processing={
'volcanic_terrain': True,
'cloud_filtering': 'aggressive'
}
)
Usage Examples
Single Region Processing
from ign_lidar import Processor, regional_configs
# Use predefined regional configuration
processor = Processor(
config=regional_configs.get_config("ile-de-france")
)
result = processor.process_tile("paris_75001.las")
Multi-Region Pipeline
import os
from ign_lidar import Processor, regional_configs
def process_by_region(input_dir, output_dir):
"""Process files with region-specific configurations."""
region_mapping = {
'75': 'ile-de-france', # Paris
'13': 'paca', # Bouches-du-Rhône
'29': 'bretagne', # Finistère
'74': 'auvergne-rhone-alpes', # Haute-Savoie
'973': 'guyane', # French Guiana
'971': 'antilles', # Guadeloupe
'974': 'reunion' # La Réunion
}
for filename in os.listdir(input_dir):
if filename.endswith('.las'):
# Extract department code from filename
dept_code = filename.split('_')[1][:2] if len(filename.split('_')) > 1 else '75'
# Get regional configuration
region = region_mapping.get(dept_code, 'ile-de-france')
config = regional_configs.get_config(region)
# Process with appropriate configuration
processor = Processor(config=config)
input_path = os.path.join(input_dir, filename)
output_path = os.path.join(output_dir, f"processed_{filename}")
processor.process_file(input_path, output_path)
print(f"Processed {filename} with {region} configuration")
Custom Regional Adaptation
from ign_lidar import Config
# Create custom configuration for specific needs
custom_normandy_config = Config(
base_config='bretagne', # Start with similar climate
modifications={
'buildings': {
'half_timbered': True, # Norman architecture
'thatched_roofs': True
},
'agriculture': {
'apple_orchards': True,
'dairy_farms': True,
'hedgerows': 'dense'
},
'coastal': {
'chalk_cliffs': True,
'd_day_sites': True # Historical preservation
}
}
)
Regional Data Sources
IGN Regional Data
Access region-specific auxiliary data:
from ign_lidar.data import RegionalDataLoader
# Load regional orthophotos
loader = RegionalDataLoader(region="paca")
orthophoto = loader.get_orthophoto(tile_id="0631_6275")
# Load regional DTM
dtm = loader.get_dtm(tile_id="0631_6275", resolution=1)
# Load administrative boundaries
boundaries = loader.get_admin_boundaries(level="commune")
Climate Data Integration
from ign_lidar.climate import ClimateAdapter
# Adapt processing based on local climate
climate = ClimateAdapter(region="bretagne")
seasonal_config = climate.get_seasonal_config(
season="winter",
phenomena=["wind", "salt_spray", "storms"]
)
Quality Control by Region
Region-Specific Validation
from ign_lidar.validation import RegionalValidator
validator = RegionalValidator(region="ile-de-france")
# Check urban-specific features
urban_quality = validator.check_urban_features(result)
# Validate building detection accuracy
building_accuracy = validator.validate_buildings(
result,
reference_data="bdtopo" # IGN reference database
)
# Generate regional quality report
report = validator.generate_report(
metrics=['completeness', 'accuracy', 'consistency'],
standards='ign_specifications'
)
Adaptive Thresholds
# Automatically adjust thresholds based on region
from ign_lidar.adaptive import RegionalThresholds
thresholds = RegionalThresholds(region="paca")
config = Config(
features={
'buildings': {
'min_height': thresholds.get('building_min_height'),
'roof_angle': thresholds.get('roof_angle_range')
},
'vegetation': {
'canopy_threshold': thresholds.get('canopy_density')
}
}
)
Performance Optimization by Region
Resource Allocation
# Optimize processing based on regional characteristics
resource_config = {
'ile-de-france': {
'memory_intensive': True, # Dense data
'cpu_cores': 'max',
'chunk_size': 500000
},
'guyane': {
'io_intensive': True, # Large forest areas
'preprocessing': 'heavy',
'chunk_size': 1000000
},
'antilles': {
'gpu_preferred': True, # Complex terrain
'atmospheric_correction': True
}
}
Best Practices
Regional Configuration Management
- Version Control: Track regional configurations
- Validation: Test configurations with representative data
- Documentation: Document region-specific parameters
- Updates: Regular review based on seasonal changes
Quality Assurance
- Reference Data: Use local IGN databases for validation
- Expert Review: Collaborate with regional experts
- Continuous Improvement: Update based on processing results
- Cross-Validation: Compare with manual interpretations