// SYSTEM_ID: ETL_AUTOMATION_02 // STATUS: LIVE // ZERO_COST_ARCH
Spatial ETL Automation Pipeline
Unattended geospatial data processing engine — from raw field capture to validated PostGIS records with zero manual intervention. LADM-COL V3 compliant by design.
📡
Field Input
KML // GeoJSON // XLS
→
🐍
Python Engine
GDAL // Shapely // pandas
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🔍
QA/QC
Topology // Overlaps // LADM
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🗄️
PostGIS
Spatial DB // LADM-COL
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🌐
Web GIS
FastAPI // MapLibre
01
Ingest — Multi-Format Input
Watches a directory for KML, GeoJSON, Shapefile, DXF, or Excel inputs. Automatically detects format and normalizes to WGS84.
02
Transform — GDAL/OGR + GeoPandas
Reprojects, clips to study area, joins attribute tables, and applies LADM-COL V3 schema enforcing required fields.
03
Validate — Shapely Topology Engine
Detects overlaps, gaps, slivers, invalid geometries, and attribute completeness violations. Flags errors with severity codes.
04
Load — PostGIS + Audit Log
Clean features inserted into PostgreSQL/PostGIS with full audit trail: timestamp, source file, user, validation score, and spatial index.
⚙️
Zero Config
Drop files in folder — pipeline triggers automatically. No GUI needed.
🔍
Topology QA
Overlap & gap detection using Shapely. LADM-COL V3 schema enforcement.
📋
Audit Logging
Full transaction history per record — timestamp, source, validation result.
🔄
Multi-Format
KML, GeoJSON, SHP, DXF, XLS unified into one PostGIS LADM schema.