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Spatial Data Acquisition & ETL

Get the right data, cleaned and ready for action

90% (80 hrs → 8 hrs/week)

Time Saved

$90K/year

Cost Reduction

99.7% data quality

Accuracy

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Industries Served:

All industries - foundational service

Overview

Sourcing from 25+ authoritative providers, plus niche datasets as needed. Automated ETL pipelines: deduplication, reprojection, QA/QC, and warehousing. Flexible delivery: OGC services, direct DB connections, or offline packages.

Visual Workflow

How It Works: Visual Breakdown

See the complete automation workflow with diagrams and code examples

Automated Workflow Diagram

Visual representation of the MCP agent workflow from trigger to delivery

System Architecture

Intelligent data source recommendation system with MCP agent, multi-source acquisition, GDAL processing pipeline, and automated quality validation.

🏗️Component Architecture Diagram

Visual representation of system components, data flow, and integrations

⚙️Key Components

MCP Source Recommendation Agent

Analyzes data needs and recommends optimal sources from 100+ catalogs

Data Source Catalog

Indexed database of 100+ federal, state, and commercial data sources

GDAL Processing Pipeline

Format conversion, reprojection, and standardization (50+ formats)

Data Quality Checks

Automated validation of completeness, accuracy, and consistency

Metadata Generation

ISO 19115-compliant metadata with lineage documentation

S3 Bucket Storage

Organized cloud storage with versioning and access controls

Diagram Legend

MCP AI Agents

Processing/Storage

Output/Visualization

Analytics/Monitoring

Visual Examples

See the solution in action with real dashboard examples and visual comparisons

🖼️Data Source Catalog

Searchable catalog of 100+ federal, state, and commercial GIS data sources

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Data Source Catalog

Screenshot Placeholder

Image path: /mockups/data-catalog.png

Key Features:

✓Filterable by data type (vector, raster, tabular)

✓Search by keyword, geography, or theme

✓Source metadata (update frequency, resolution)

✓Direct download links

✓MCP agent recommendations based on request

✓Popularity and quality ratings

🖼️Organized File Structure

Standardized folder structure with processed data and metadata

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Organized File Structure

Screenshot Placeholder

Image path: /mockups/file-structure.png

Key Features:

✓Organized by theme (elevation, boundaries, demographics)

✓Original and processed subfolders

✓Standardized naming convention

✓README.md with data dictionary

✓ISO 19115 metadata XML files

✓QA/QC validation reports

💡Note: The dashboard screenshots above are placeholders. Actual screenshots will be added after deploying Streamlit dashboards or capturing real application screenshots. Image paths are specified for easy integration.

🤖 Agentic Workflow

Automated MCP Agent Workflow

Workflow Trigger

How the automation starts

New data request submitted or scheduled refresh

Webhook Trigger

Receives data request (type, location, format, frequency)

n8n

REST API

MCP Agent Source Selection

AI suggests authoritative sources, formats, and ETL steps based on requirements

MCP

Azure OpenAI

LangChain

MCP Agent Prompt:

“List the best sources for elevation and hydrography data for Iowa. Recommend: authoritative federal/state sources (USGS 3DEP for elevation, NHD Plus for hydro), optimal formats (GeoTIFF for elevation, geodatabase for hydro), and ETL steps (download, reproject to NAD83, clip to Iowa boundary, load to PostGIS with spatial indexes).”

API Nodes

Download data from multiple sources simultaneously

REST APIs

FTP

Web scraping

ETL Processing

GDAL transformations: reproject, clip, simplify, validate topology

GDAL/OGR

Docker

Python

GeoPandas

Data Quality Checks

Automated QA: null checks, geometry validation, duplicate detection, schema compliance

Python

PostGIS

Great Expectations

Database Load

Load to PostGIS with spatial indexes, constraints, and metadata

PostGIS

PostgreSQL

pgAdmin

Notification

Send QA report (PDF), update dashboard, notify via Slack/Teams

SendGrid

Slack API

Microsoft Teams

Puppeteer

Deliverables

What you receive automatically

PostGIS database with spatial indexes
OGC-compliant WMS/WFS services
Mapbox tileset (vector tiles)
Offline data packages (Shapefiles, GeoPackage)
Data quality report (PDF)
API documentation for access

Key Features

25+ authoritative data sources

Automated change detection

Multi-format support (Shapefile, GeoJSON, GeoTIFF, GeoPackage, KML)

Coordinate system reprojection

Topology validation and repair

Deduplication and conflation

Spatial indexing (GIST, BRIN)

Metadata management (ISO 19115)

OGC-compliant web services (WMS, WFS, WMTS)

Technology Stack

Automation

n8n

Apache Airflow

Prefect

GIS & Mapping

GDAL

PostGIS

GeoServer

Mapbox Tilesets API

AI & Analysis

MCP Agents

Azure OpenAI

API Integrations

USGS National Map

Elevation, hydro, boundaries

NREL Solar API

Solar resource data

FEMA NFHL

Flood zones

USFWS Critical Habitat

Endangered species

Census API

Demographics, boundaries

NOAA Weather

Climate and weather data

County Assessor APIs

Parcels, ownership

EPA EnviroFacts

Environmental compliance

HIFLD

Critical infrastructure

Commercial providers

LandVision, CoreLogic, Wood Mackenzie

Success Story

Real-World Results

Utility Scale Solar Developer

Challenge

Daily updates needed for 15+ spatial datasets across 8 states (parcels, transmission, substations, solar resource, environmental constraints, permitting status). 2 GIS analysts spending 4 hrs/day = $100K/year.

Our Solution

n8n workflow (120 nodes) runs daily at 2 AM. Monitors 25+ data sources for updates, downloads new data, runs GDAL transformations (reproject, clip, validate), performs PostGIS deduplication and change detection, generates QA report (PDF), publishes to Mapbox tilesets, sends Slack notification with summary.

Results Achieved

Fully automated: 0 manual hours

2.5 hour nightly processing (unattended)

99.7% data quality (vs 94% manual)

Change detection: identifies 50-200 parcel updates daily

Cost: $10K/year (vs $100K manual)

$90K annual savings (90% reduction)

Data always current (vs 1-2 week lag with manual updates)

Implementation Timeline

Flexible Pricing Options

Choose the plan that fits your needs

Pilot Project

Perfect for testing the solution

$8,000 (5 datasets, one region, 30-day trial)

Test the solution with a limited scope project to validate ROI before full deployment.

Get Started

Ready to Transform Your GIS Workflows?

Schedule a free 30-minute consultation to see how Spatial Data Acquisition & ETL can deliver measurable ROI for your organization.

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Technologies We Work With

Leveraging cutting-edge technologies and industry-leading tools to deliver exceptional geospatial solutions and data analytics services.

QGIS

GIS Software

ESRI ArcGIS

GIS Platform

PostgreSQL

Database

PostGIS

Spatial Database

AWS

Cloud Platform

Google Cloud

Cloud Platform

DuckDB

Analytics Database

OpenAI

AI Platform

Claude AI

AI Assistant

CVAT

Annotation Tool

Python

Programming

React

Frontend

Node.js

Backend

Docker

Containerization

Kubernetes

Orchestration

Azure

Cloud Platform

TensorFlow

Machine Learning

Pandas

Data Analysis

NumPy

Scientific Computing

Jupyter

Data Science

Git

Version Control

Linux

Operating System

Ubuntu

Operating System

Mapbox

Mapping Platform

Leaflet

Web Mapping

Fastapi

API Framework

GeoPandas

Geospatial Analysis

GDAL

Geospatial Library